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I was interviewing for a job as a customer service agent with Anna. She had a low, pleasant voice and she’d nailed the pronunciation of my name—something few people do. I wanted to make a good impression except I had no idea what Anna was thinking because Anna couldn’t think. Anna wasn’t technically a person. She was AI. Not only is AI changing how we do our jobs, it’s also changing how we get jobs. This ranges from using AI to screen resumes, schedule interviews, even conduct them. According to a 2025 report, 20% of companies are using AI to interview candidates. Even so, nothing can replace human recruiters, the folks who’ve deployed Anna into the wild stressed to me. After I spoke with her, I quickly understood why. In this story, paid subscribers will learn: What it’s like to actually go through a job interview with an AI agent—and how to speak to them Where companies should deploy AI interviewers that would benefit them and job seekers AI Anna clocks in Even though I wasn’t really interviewing for a job—this was all an exercise for this story, of course—I was still nervous. I asked the team behind Anna to provide a job description so I could prepare, but outside of this experiment, I was sadly lacking in actual customer service experience. I also didn’t know how AI Anna was going to react to awkward silences, panicked misdirection, or if she’d be able to tell if I was lying. These worries are bad enough with a human. How would a computer program react? I got on the phone and connected with Anna. She was pleasant, and frankly, sounded way more human than I was expecting. We exchanged greetings, and before long, I was in full-on job interview mode with an AI. First up, she asked me to describe a time when I had to explain something complex over the phone clearly. I blanked. Finally, I described how journalism involves explaining complex ideas because you’re asking questions. It sounded weak even to my own ears. Sure enough, she was not impressed. “I’d like to explore a scenario that’s more specific to the role we’re discussing,” she replied firmly. Fair point. I managed to dredge something up from a high school job. Mercifully, AI Anna accepted the answer and moved on. Next, AI Anna wanted me to talk about a time when I had to problem solve for a customer. This, I could answer. I dove into my brief stint organizing a literary conference where writers paid to meet with agents. Occasionally agents went astray because they were hungover or running marathons and I’d be left to find alternatives like rescheduling— Anna cut me off. “That sounds like a high-pressure situation. . . . It’s great that you were able to come up with alternatives. Now I’d like to switch topics for a moment.” Yikes. I wasn’t ready to switch topics, but AI Anna was, and I couldn’t tell why. Was my example off topic? Was I taking too long to answer her question? Before I could ask, Anna had already swept on to background checks. I invented a criminal background and told AI Anna I had done some time in prison. She thanked me for being honest, and told me that she could not make any decisions. She said candidates with a criminal record would be considered on a case-by-case basis (something that would have to be verified by a human). Then I wanted to know if I’d be required to work overtime. She let me know I’d be required to do overtime the first six months, but only one or two times a month. Needed, accurate information that couldn’t just be googled—great. Honestly? While I found her transitions a bit jarring sometimes, she handled most questions with aplomb. How we got here AI Anna is the product of PSG Global Solutions, a staffing firm. Before deploying AI Anna in the market, the firm asked Brian Jabarian, a researcher at the University of Chicago Booth School of Business with doctorates in economics and philosophy, to study the AI Anna’s effectiveness. (Jabarian received no funding from PSG). In a study released in September, Jabarian conducted an experiment where 70,000 applicants for a customer service job were randomly assigned a human interviewer, an interview with AI Anna, or the ability to choose between the two. The results are surprising, and surprisingly promising for the candidates. AI interviews resulted in a 12% increase in job offers, and a 17% increase in 30-day retention on the job. Moreover, when offered a choice, 78% of applicants chose to be interviewed by AI. Jabarian theorized this was because the AI was easier to schedule with: job applicants who needed a job quickly could book a call immediately. Why the positive outcome data? Jabarian pointed out that, on average, an AI interviewer got through more required topics than human recruiters since they couldn’t be distracted. (I mean, Anna did move at a brisk clip.) “AI leads to a more consistent interview experience,” he said. “It lets the candidate talk more, and has a 50% chance of covering 10 of 14 required topics compared to 25% for human interviewers.” AI Anna clocks out Afterwards, I debriefed the interview with David Koch, PSG’s chief transformation and innovation officer. First, he showed me AI Anna’s backend: The platform had generated a recording of our conversation, a transcript, a summary of the call (including suggestions for next steps, like a follow up to discuss my criminal background), and an overall recommendation: AI Anna thought I was qualified (yay!) but merited human follow-up because of my criminal background. AI Anna also recommended a follow-up because she’d cut me off when I was talking about the literary conference. Koch explained my speaking cadence is a touch slower than average, and AI Anna is programmed to respond after a certain amount of time or else the flow of conversation can become jerky. Koch noted that AI interviewing was better suited for some situations and not others. He recommended AI interviewing for high-volume hiring where there’s a need to source candidates quickly for jobs that are seasonal and high turnover, like customer service agents or travel nurses. Koch also said AI interviewing is best suited for cases where there’s less complexity, in which you don’t need to sell a candidate on a role. From my standpoint as a lay person, the technology behind AI Anna struck me as marvelous. She corralled me into staying on topic, and was capable of social niceties. She provided detailed answers to all my questions. For recruiters, this could be life changing. It’s not that AI Anna might replace them, per se (there were already things from the interview that a human colleague would have to address or follow up on). But recruiters could farm out tasks like screening calls to AI while they worked on more high-level tasks. However, this made me worry. If AI Anna existed to save companies time, what happens to candidates who get flagged for follow-up, even for something as simple as speaking slowly—let alone a criminal background? If there are more than enough qualified candidates to fill roles, I imagine a harried hiring manager would make offers to people who don’t require follow-up. Exception cases that require more time, like me, might fall to the wayside. The future: cold, but competent After my conversation with AI Anna, I felt hollow. Typically, if an interview goes well, I have the high of having connected with someone who might make me feel valued, desired, and possibly in the mix for a new job. If it doesn’t go well, I spend the next couple of days wallowing in self-pity and dissecting potential red flags. AI Anna’s preprogrammed human-like intonation left me nothing to go on. Did she like me? Or was meh on me, but still think I was qualified? I couldn’t tell probably because AI Anna does not have emotions and did not care about me. But how much does this matter? A Gallup study found that 44% of respondents said their interviews drove them to accept an offer or not. Ideally, candidates would be able to interview with their direct supervisor before getting a job in order to suss out personality match—but for a screening interview, AI Anna’s value was undeniable. She raised the floor for interview quality: She’s personable and she offers a consistent experience. There’s no need to worry about the mysterious intangible of “chemistry.” Jabarian also pointed out that AI interviews reduce gender discrimination by half. Done right, AI interviewers could reduce bias and help qualified job candidates who may not perform well during interviews because they lack intangibles such as charisma. Still, I missed talking to a human. View the full article

Generative AI is evolving along two distinct tracks: on one side, savvy users are building their own retrieval-augmented generation (RAG) pipelines, personal agents, or even small language models (SLMs) tailored to their contexts and data. On the other, the majority are content with “LLMs out of the box”: Open a page, type a query, copy the output, paste it elsewhere. That divide — between builders and consumers — is shaping not only how AI is used but also whether it delivers value at all. The difference is not just individual skill. It’s also organizational. Companies are discovering that there are two categories of AI use: the administrative (summarize a report, draft a memo, produce boilerplate code) and the strategic (deploy agentic systems to automate functions, replace SaaS applications, and transform workflows). The first is incremental. The second is disruptive. But right now, the second is mostly failing. Why 95% of pilots fail The Massachusetts Institute of Technology recently found that 95% of corporate GenAI pilots fail. The reason? Most organizations are avoiding “friction”: They want drop-in replacements that work seamlessly, without confronting the hard questions of data governance, integration, and control. This pattern is consistent with the Gartner Hype Cycle: an initial frenzy of expectations followed by disillusionment as the technology proves more complex, messy, and political than promised. Why are so many projects failing? Because large language models from the big platforms are black boxes. Their training data is opaque, their biases unexplained, their outputs increasingly influenced by hidden incentives. Already, there are companies advertising “SEO for GenAI algorithms” or even “Answer Engine Optimization,” or AEO: optimizing content not for truth, but to game the invisible criteria of a model’s output. The natural endpoint is hallucinations and sponsored answers disguised as objectivity. How will you know if an LLM recommends a product because it’s correct, or because someone paid for it to be recommended? For organizations, that lack of transparency is fatal. You cannot build mission-critical processes on systems whose reasoning is unknowable and whose answers may be monetized without disclosure. From “out of the box” to “personal assistant” The trajectory for savvy users is clear. They are moving from using LLMs as is toward building personal assistants: systems that know their context, remember their preferences, and integrate with their tools. That shift introduces a corporate headache known as shadow AI: employees bringing their own models and agents into the workplace, outside of IT’s control. I argued in a recent piece, “BYOAI is a serious threat to your company,” that shadow AI is the new shadow IT. What happens when a brilliant hire insists on working with her own model, fine-tuned to her workflow? Do you ban it (and risk losing talent) or do you integrate it (and lose control)? What happens when she leaves and takes her personal agent, trained on your company’s data, with her? Who owns that knowledge? Corporate governance was designed for shared software and centralized systems. It was not designed for employees walking around with semiautonomous digital companions trained on proprietary data. SaaS under siege At the same time, companies are beginning to glimpse what comes next: agents that do not just sit alongside software as a service (SaaS); they replace it. With enterprise resource planning systems, you work for the software. With agents, the software works for you. Some companies are already testing the waters. Salesforce is reinventing itself through its Einstein 1 platform, effectively repositioning customer relationship management, or CRM, around agentic workflows. Klarna has announced it will shut down many SaaS providers and replace them with AI. Their first attempt may not succeed, but the direction is unmistakable: Agents are on a collision course with the subscription SaaS model. The key question is whether companies will build these platforms on black boxes they cannot control, or on open, auditable systems. Because the more strategic the use case, the higher the cost of opacity. Open source as the real answer This is why open source matters. If your future platform is an agent that automates workflows, manages sensitive data, and substitutes for your SaaS stack, can you really afford to outsource it to a system you cannot inspect? China provides a telling example. Despite being restricted from importing the most advanced chips, Chinese AI companies, under government pressure, have moved aggressively toward open-source models. The results are striking: They are catching up faster than many expected, precisely because the ecosystem is transparent, collaborative, and auditable. Open source has become their work-around for hardware limits, and also their engine of progress. For Western companies, the lesson is clear. Open source is not just about philosophy. It’s about sovereignty, reliability, and trust. The role of hybrid clouds Of course, there is still the question of where the data lives. Are companies comfortable uploading their proprietary knowledge into someone else’s black-box cloud? For many, the answer will increasingly be no. This is where hybrid cloud architectures become essential: They allow organizations to balance scale with governance, keeping sensitive workloads in environments they control while still accessing broader compute resources when needed. Hybrid approaches are not a panacea, but they are a pragmatic middle ground. They make it possible to experiment with agents, RAGs, and SLMs without surrendering your crown jewels to a black box. The way forward Generative AI is splitting in two directions. For the unsophisticated, it will remain a copy-and-paste tool: useful, incremental, but hardly transformative. For the sophisticated, it’s becoming a personal assistant. And for organizations, potentially, a full substitute for traditional software. But if companies want to make that leap from administrative uses to strategic ones, they must abandon the fantasy that black-box LLMs will carry them there. They won’t. The future of corporate AI belongs to those who insist on transparency, auditability, and sovereignty, which means building on open-source, not proprietary, opacity. Anything else is just renting intelligence you don’t control while your competitors are busy building agents that work for them, not for someone else’s business model. View the full article

Below, Scott Anthony shares five key insights from his new book, Epic Disruptions: 11 Innovations That Shaped Our Modern World. Scott is a clinical professor of strategy at the Tuck School of Business at Dartmouth College. His research and teaching focus on the adaptive challenges of disruptive change. Previously, he spent over 20 years at Innosight, a growth strategy consultancy founded by Harvard Business School professor (and father of the idea of disruptive innovation) Clayton Christensen. What’s the big idea? In 1620, Sir Francis Bacon wrote that there were three technologies for which it was possible to draw a clear line before and after: the printing press, the compass, and gunpowder. Those three technologies that changed the world stretched over 1,600 years. Today, it feels like there’s a big disruptive development every 1,600 seconds. Autonomous vehicles . . . augmented reality . . . artificial intelligence . . . additive manufacturing. And those are just the ones that begin with “A.” How do we make sense of a world where change is truly the only constant? Understanding how disruptive innovation and epic change happens allows us to see the world more clearly. 1. Disruptive innovators transform the world. Florence Nightingale was a nurse. You might have a visual of “The Lady with the Lamp,” and that’s part of Florence’s story, but there is so much more. Shocked by her experience in the Scutari hospital during the Crimean War, she developed a series of analyses, brilliantly visualized in polar area charts that showed the power of prevention and proper hygiene in hospitals. She wrote books explaining the essence of nursing that anyone could buy and read, and set up schools to train nurses. What she did was disruptive innovation. Nightingale enabled a broader population to improve health standards and living conditions, focusing on prevention rather than treatment. Many of the things that we take for granted today, such as modern sewage systems or having light and fresh air during recovery, trace back to Nightingale’s work. Disruptive innovators transform existing markets and create new ones by making the complicated simple and the expensive affordable. They open markets to broader populations that historically lacked wealth or specialized skills. They literally change the world. 2. Every story of disruptive innovation has heroes. In the year 1437, Johannes Gutenberg was working on something in Strasbourg. No, it was not the printing press…at least, not yet. He was part of a team working on a trinket: a mirror that could capture the essence of the Holy Spirit during a planned pilgrimage in 1439. Well, that pilgrimage was called off because of an outbreak of the Bubonic Plague. That was bad for many people, but good for the world, because Gutenberg and his team went in a different direction. They met someone named Conrad Saspatch, who had an innovative wooden press. In 1440, they combined that with a range of other things to create a working version of the printing press. “If you have an idea that you think could be disruptive, you need to find people who will support you.” To commercialize it, they needed customers, scale, and funding. They found a merchant named Johann Fust who gave them the capital to build their business. Fust ultimately sued them and took control of the technology, but that’s not the primary point here. The point is that every story of disruption has a protagonist, but it is always accompanied by multiple people involved. Every story has heroes, and that word is plural. So, if you have an idea that you think could be disruptive, you need to find people who will support you. If you’re in an organization that’s seeking to have more disruptions, you need to make sure the environment supports those innovators who are going to do the work. 3. Disruptive innovation is predictably unpredictable. In 1947, a trio of researchers at Bell Labs developed a breakthrough that would change the world: the transistor. Their goal was to create a technology that would replace vacuum tubes in communications networks. That happened, but the path to get there was unexpected. The transistor was an imperfect product in its early days. It had the benefits of being small, rugged, and not giving off heat, but it was also unreliable. You would have to redesign a system if you were going to use it. It wasn’t good enough to plug into communications networks. The first commercial market was in hearing aids. In 1952, the Sonotone 1010 featured a transistor. The fact that the transistor doesn’t give off heat was a huge benefit for people wearing battery packs on their waists. The fact that it’s rugged was incredibly beneficial. The limitations just didn’t matter. A couple of years later, 95 percent of hearing aids were powered by transistors, and the market had exploded. This is a very predictable pattern. You never know exactly where disruptive innovation is going to start. Generally, however, you know it will be in a place that values it despite its limitations. That place is typically on the fringe of an existing market or in a completely new setting. Around the same time that Sonotone was taking license to the transistor technology, chef Julia Child was dealing with a surprising setback. When we think of disruptive innovations, we don’t think of chefs, but Child changed the world of cooking, making it much easier for people to cook great French dishes in their own homes. “Pull back and watch the full movie to understand disruptive change.” In 1951, the French chef failed her final exam at Le Cordon Bleu. That same year, she met Simca Beck and Louisette Berthold. The two were working on a book that would bring French recipes to an American audience. They asked Julia to join the team and bring her voice to the project. She agreed. Mastering the Art of French Cooking came out 10 years later. Success was not a straight line. There were three different publishers and one near-death experience in November 1959, in which, at the very last minute, publisher number two said this book cannot be published. This is predictable. Every story of disruptive innovation has twists and turns and fumbles and false steps and things that look and feel like failures. You cannot predict the specifics. You can, however, predict they will happen. What separates success from failure is not how good the original idea was. It’s how the disruptive innovator deals with the journey. When you’re trying to understand disruption, focus on patterns like this. Recognize that a single moment can deceive you. Pull back and watch the full movie to understand disruptive change. Julia Child ultimately passed her test at Le Cordon Bleu and, in my opinion, her chocolate mousse recipe is perfection. 4. Disruption casts a shadow. Disruption is very good for some, but it can be less good for others. Particularly in the middle of a disruptive change, there can be a lot of messiness. Back in the 1920s, Henry Ford was obsessed with his vision to create a car for the great multitude. In 1908, he rolled out the Model T. It cost $890, or about $30,000 in today’s terms. By 1924, the assembly line and lower employee turnover, facilitated by better wages, allowed Ford to dramatically decrease the cost to $260, or approximately $5,000 in today’s terms. Sales of automobiles took off. This was good for some, but less good for others. Cities were designed for people, not for cars. There were no traffic signals. There were no rules and norms governing who could do what, and sadly, people were getting hit, injured, and sometimes killed. Two sides broke out. The motorists said, “The problem here are the pedestrians. We’re going to brand them as jaywalkers.” Jay being slang for a country bumpkin who wasn’t very educated. They had Boy Scouts hand out cards in cities, telling people to cross at designated areas. “This was good for some, but less good for others.” The pedestrians fought back. They sought to brand the motorists as flivverboobs. Flivver was slang at the time for cars, and boob . . . well, that’s still pretty universal. You know who won the battle. In 1924, a New York traffic warden said, “We now know about 80 percent of incidents are caused by jaywalkers.” By the late 1920s, the word ‘flivverboob’ had basically disappeared. Disruption always casts a shadow. The middle can be very messy. You have to understand it, or it will swallow you. 5. Success with disruption requires patient perseverance. People talk about the accelerating pace of change, but we forget that when we see a big breakthrough, there’s often been decades of work before it. For example, in 2022 OpenAI introduced ChatGPT. It became the fastest technology in history to get to 100 million users. But by some dimensions, that technology was 67 years old, tracing back to a 1956 conference at Dartmouth College where the term ‘AI’ was coined. Around the same time as that conference, a chemist at Corning, Don Stookey, made a surprising discovery. He accidentally set his kiln to a temperature that was way too hot. He expected a gooey mess, but instead he discovered the first synthetic glass ceramic. Corning commercialized this in a line of kitchenware and, in parallel, launched Project Muscle to make the material clear. The result was something 14 times stronger than normal glass. But Corning couldn’t make it thin. They thought a possible market could be automobile windshields, but tests with crash test dummies showed that the head would not survive a collision with the glass because it was that strong. In 1971, after $300 million investment in today’s terms, Corning put the project on ice. In 2007, Steve Jobs was getting ready to launch the iPhone. He picked up the prototype, and its plastic screen just didn’t appeal to his aesthetic sense. He wanted glass. He knew Corning had provided an innovative screen for Motorola’s RAZR phone. Even though Corning shut down the project, they continued experimenting and exploring, and ultimately made the glass thinner. They called it Gorilla Glass. Steve Jobs came to Corning’s headquarters, talked to CEO Wendell Weeks, and said, “I want this, I want it at scale, and I want it fast.” Weeks said, “Great, but we can’t do it at scale and we can’t do it fast.” Steve Jobs turned on his reality distortion field and, without blinking, said, “Yes, you can. You can do it.” And Corning did. By 2024, eight billion devices had screens with Gorilla Glass. When it comes to disruption, you must be comfortable being uncomfortable because it almost always takes a lot longer than you think. This article originally appeared in Next Big Idea Club magazine and is reprinted with permission. View the full article

A majority of Gen Z workers are turning to AI chatbots during the workday for personal reasons, including mental health support, with 40% saying they talk to AI for at least an hour every day, according to a new Resume.org survey. “Many Gen Zers entered hybrid or remote jobs where casual mentorship or watercooler chats never formed, so AI fills that relational void,” said Kara Dennison, Resume.org’s head of career advising. “It listens, it responds thoughtfully, and it never criticizes.” She added: “That creates a sense of psychological safety that’s often missing in corporate hierarchies. It’s about connection, control, and immediacy. They’re using AI the way earlier generations used coffee breaks or hallway chats: to decompress, problem-solve, or feel understood.” While older generations might describe ChatGPT as a “tool,” 47% of Gen Z say it feels far more personal: 25% of Gen Z describe ChatGPT, Copilot, and other AI bots as their therapist or coach, a friend, or coworker, while 34% admit to confiding in AI chatbots about things they’ve never told another person. Some 16% say they frequently discuss personal topics such as mental health or relationships with AI, while 33% say they do so occasionally. Resume.org’s survey collected data from 1,000 full-time U.S. Gen Z workers ages 18 to 28 who used an AI chatbot such as ChatGPT or Copilot in the past week. Gen Z may be using ChatGPT for therapy, but mental health experts say it comes with risks. “Using a general-purpose chatbot as a therapist compromises the fundamental elements of safe care: clinical oversight, legal confidentiality, and a dependable route to human intervention,” Gijo Mathew, chief product officer at Spring Health, a global mental health platform for employers and health plans, told Fast Company. “This can introduce significant risks, particularly in multi-turn, emotionally charged discussions,” Mathew continued. “Most chatbots and large language models (LLMs) were not designed for mental health support and may overlook warning signs or offer articulate yet clinically unsound advice.” According to the survey, 43% of Gen Z workers spend at least 30 minutes per day using ChatGPT or a similar AI chatbot; 13% use it for one to two hours a day; 6% for two to four hours a day; and 5% for more than four hours a day. When it comes to dealing with stress and well-being on the job, 38% of Gen Z are turning to AI to take breaks, and 33% to talk through work-related stress or frustrations. That’s time that could be spent interacting with other humans. The findings also come at a time when 89% of corporate workers say they faced at least one mental health challenge in the past year. View the full article

Every office has that coworker that turns up to a meeting coughing and sniffling while proudly proclaiming they have never once taken a sick day in their career. (If there isn’t one, maybe it’s you.) But as one viral TikTok makes clear, those attitudes towards taking sick days may be changing—just as sick days themselves are changing, as some think being sick isn’t a real excuse to not work in the WFH era. The skit—which has more than 2.3 million views—sees popular TikTok creator Delaney Rowe adopting the role of that coworker, turning up to a meeting with a hospital tag still on wrist, oh-so bravely battling through the workday while simultaneously making it everyone else’s business. “Person you work with who thinks they’re a hero for ‘powering through’ while sick,” she wrote. The days of “powering through” are now gone, as nearly a third of Americans say they’d rather you didn’t show up to work if you’re feeling sick, according to a new Talker Research survey of 2,000 people in the US. Many in the TikTok post’s comments agreed. “I get so mad when people risk ME getting sick,” one wrote. “Get away from me.” Another joked: “This is me but I’m just soft-launching calling out the next few days.” Others have even offered scripts for how to successfully call in sick without guilt or fear. “Take your sick days. Those days are for you and they’re not just for when you’re sick,” one TikTok creator advised. “They’re for when you just want a day to lay down all day and watch movies and eat food. You can do that. They’re for when you’re feeling a little bit off and you just don’t want to deal with it today.” The workplace is a minefield of unwritten rules which workers have long abided by. Not taking sick days, even when allotted by an employer, is one. However, 31% of those surveyed by Talker Research say there’s no longer a badge of honor or admirable quality to employees turning up to work ill. Just a quarter of Americans strongly believe it would impress bosses or superiors. As one Reddit thread put it: “Never taking sick days is not a flex some people think it is.” One commenter went on to describe a coworker who point blank refuses to take sick days, writing: “All of this goes unnoticed by management. No one gives a damn. No one is asking him to do it, no one is patting him on the back.” They added: “Then he proceeds to get frustrated with the rest of us that we don’t do the same.” The COVID-19 pandemic permanently changed workers’ attitudes to sick leave, making clear the importance of staying home to avoid infecting coworkers. At the same time, Gen Zers entered the workforce in droves, championing mental health days, worklife balance, and the importance of boundaries at work. But some workers may still feel compelled to show up and put in face time with the boss. That translates to remote work, as well; a green “active” light on Slack or Teams communicates availability. But whether it’s in person or online, working while sick sets a bad example for the rest of the staff, chipping away at work-life boundaries that are already blurrier than ever. Working while sick can also lead to presenteeism: working while sick, but since you’re sick, you’re less productive. Presenteeism is bad for business, especially when it risks infecting an entire office with a cold or flu picked up over the weekend. And after witnessing layoff after layoff, today’s employees may be more inclined to take that R&R that’s available to them—rather than give their all to a job that deems them disposable. View the full article

Figure comes ahead of tough November Budget for Rachel ReevesView the full article

Reductions account for nearly 6% of consumer goods group’s total workforceView the full article

Have you ever felt like your brain was one of those viral egg experiments, cracked open and sizzling on a bare sidewalk that was truly, much too hot? You may have been experiencing signs of burnout (and dehydration). As an introverted professional, I’ve been there as well, many times in my career. Over the years, I’ve developed healthy reflective coping methods to recharge my batteries and prevent (or at least combat) that intense feeling of overwhelm. As a LinkedIn Top Voice and a very public keynote speaker who’s learned to grow in the spotlight on my own terms, I’m not the best at pretending to be an extrovert for any extended period of time—it’s too tiring! Instead, I’ve found success by setting clear boundaries both online and offline, especially with growing my personal brand. It’s how I stay true to my brand and avoid the dreaded burnout. And guess what? You can do the same. You’ve probably tried a few personal branding tips that didn’t work as well for you as an introvert, because they possibly felt too “extroverted” for your style. Here are my real-life strategies grounded in my own experience and ones that I feature in my new book “Personal Branding for Introverts.” These are the ideas that let me recharge properly while building a real, lasting brand. Overcoming Overwhelm With Boundaries As an introvert, you’re likely to think more deeply and be more overwhelmed during events, big meetings or conferences, and that takes a lot of energy. Performing personal branding steps like making content, networking, or being active online can be really tiring for you (and me). Setting boundaries is the ultimate learned superpower for an introvert to combat the drowning feeling of being overwhelmed both in your daily life and at big events like conferences. It allows you to decide when and how you interact with others, which helps keep your mental health in check and allows you to show up as the best version of yourself at work. When you allow the people and activities that give you energy into your sphere and avoid the ones that take it away, you can create a brand that is easier to maintain in the long run. Let’s go over four ways to think about boundaries as an introvert. 1. Establish Clear Boundaries Between Work and Personal Life While organizing my own work week, I think of this quote by Stephen Covey: “The key is not to prioritize what’s on your schedule, but to schedule your priorities.” Focus on what is the most important work task for your week and use an energy-first approach to encourage your own balance and focus. Consider the following strategies: Match Work Hours with Your Energy: Prioritize the times of day when your energy and focus are highest. For example, if you are wide awake and alert in the morning, try scheduling meetings between 9 a.m. and 12 p.m. rather than later in the day. These morning (or afternoon) hours are your core focus times and should be protected. Designate Time for Focused Work: Save specific blocks of time for your best uninterrupted, quiet work. Lessen the general distractions around you by limiting your email inbox and message time. Create A Habit For Your Work Day End: Start an ongoing ritual or task that marks the end of your work hours. This might include taking a comforting walk, writing in your journal or blog, or simply turning off your social or Slack notifications for a bit. These cues help reinforce the boundary between work and personal time, allowing your mind to transition and recharge. 2. Rethink your Endless Meetings Ever hear of the office saying “This could have been an email?” Not every meeting needs an in-person chat. If you’re able (and allowed to) express your thoughts in an email or message, do that. Fewer live meetings means more energy for focused work. Group similar meetings together on the same day or days if possible so there’s less distractions. That way, the rest of your schedule stays more open and quiet. Also, leave time between meetings. At least 15 minutes and a quick walk outside or inside the office will help you reset. Back-to-back calls can wear you down quickly and harm your focus. 3. Strategically Manage Your Digital Energy I’ve watched many introverted professionals experience burnout from attempting to maintain a constant presence across multiple platforms. Focusing your energy on one or two channels leads to being able to deep-dive more into those spaces, and introverts excel in being thorough thinkers. Try these energy-saving tactics: Pick One Platform: Focus your energy on one or two social media platforms where your target audience is active. This platform should also be where you feel comfortable and capable of maintaining a presence that won’t fizzle out in a month. Batch Content Creation: Create a “bank” of posts by setting aside dedicated time once a week or month to write, record, or design your content.This method lowers the pressure to be constantly working on new ideas and allows you breathing room for more thoughtful, consistent content creation. Determine Your Response Times: Find and segment out specific time blocks for responding to all of your messages or comments across social media platforms, such as 30 minutes every Tuesday at 11am. It’s helpful to do this so you’re less distracted by a ton of notifications at work. As your audience grows over time, this method will help you maintain balance and sustainability. 4. Prioritize Rest and Recharging Throughout the day, I intentionally give myself short breaks. A walk to feel the sunlight and get some vitamin D. A few deep breaths away from sitting in front of my screens. These pauses allow me to reset mentally and clear my head.. I treat alone time as part of my daily rhythm. Reading. Writing. Walking. Or just sitting quietly. These deliberate time pauses replenishes my energy while keeping me grounded. Persistent fatigue, lessened focus or the need to hide from everyone (social anxiety, anyone?) can be a clear and early indicator of burnout at work. Instead of ignoring these signals, consider them thoughtful invitations from your body to begin to slow down and rest before you fully burn out. Establishing and maintaining boundaries is crucial to growing a personal brand as an introvert and will stop overwhelm and burnout before they spiral out of control. Boundaries are wonderful tools that enable your brand to grow consistently and in a healthy way. You do not need to be everywhere online or offline or constantly available. Instead, focus your energy and attention on being present during specific blocks of time that you choose. Your audience will recognize the intentionality—and so will you. Adapted from Personal Branding for Introverts. Copyright © 2025 by Goldie Chan. Available from Basic Venture, an imprint of Hachette Book Group, Inc. View the full article

When Steve Jobs wanted to motivate his Mac team at Apple, he didn’t give them corporate pep talks or send them to management retreats. Instead, he told them they were “pirates” fighting against the “navy.” The message was clear: stay scrappy, stay rebellious, and don’t let the corporate machine slow you down. That pirate mentality worked. The Mac team moved fast, took risks, and delivered something revolutionary. But here’s the irony: Apple was itself the navy they were once fighting against. Today, with over 160,000 employees and a market cap exceeding $3 trillion, Apple faces the same challenge that confronts every successful company—how do you stay pirates when you’ve become the fleet? The challenge as you grow, is not just survival but scaling the pirate playbook itself. Having built products at Pixar, YouTube, and Google, I’ve learned that startup DNA is not a luxury; it is an essential mechanism to continue to thrive as you grow. I’ve identified five ways to do this, but first, you have to realize this is about more than “thinking like a startup.” The Glacier vs. Snowball Dilemma: The Stakes Have Risen The difference between a small and a large company is not just size, but physics. Small companies are snowballs—fast, gaining unstoppable momentum down the mountain. Big companies are like glaciers—massive, powerful, but moving at a glacial pace. This is the innovation paradox: the big guys have the resources, but the small guys have the speed. Today, with the rise of AI, the stakes have been dramatically raised. A single, AI-empowered nano-startup (a tiny “snowball”) can now deliver an impact that previously required hundreds of engineers. The trick is to stay as nimble as a snowball while deploying the resources of a glacier. So how do you solve this dilemma? You don’t just mimic a startup; you design an internal ecosystem for relentless piracy. Here are five learnings for moving at breakneck speed, even at scale. 1. Headline with a Deadline: The North Star That Cuts Through Noise At Pixar, when we were creating Toy Story, everyone from the animators to the accountants understood our mission. We were making the world’s first full-length computer-animated film, and we were going to prove that this technology could tell stories that would move audiences to tears and laughter. That clarity kept us focused. Trust me, there is nothing like a press release and booked theaters to keep you focussed on delivery. But mission clarity becomes harder as you scale. With thousands of employees working on hundreds of projects, it’s easy to lose sight of the bigger picture. This is where the “headline with a deadline” mentality becomes crucial. Every team, no matter how large the company, should be able to articulate their work as a newspaper headline with a specific deadline. Not “improve user engagement metrics” but “Launch AI-powered personalization that increases daily active users by 30% by Q2.” Not “enhance platform capabilities” but “Enable creators to monetize live streams within 90 days.” Google’s mission to “organize the world’s information and make it universally accessible and useful” has guided everything from search algorithms to YouTube’s creator ecosystem. When we were building Google TV, that mission clarity helped us see that television wasn’t dying—it was just another way to organize and deliver information to users. That north star kept our small team focused, even as we launched the first GoogleTV streamer during Covid! 2. Flatten the Pyramid: Management That Enables (No Dilbert Syndrome) The biggest enemy of startup speed isn’t bureaucracy—it’s the Dilbert manager. You know the type: they think their job is to manage people rather than enable great work. They attend meetings about meetings, create processes that solve yesterday’s problems, and somehow always seem to be the bottleneck in getting things done. At Google, I learned that the best managers don’t just understand what their team is building—they understand why it matters and how it connects to other teams’ work. They can see the 1+1=3 opportunities where collaboration creates exponential value rather than additive effort. They are close to the work and heck, many times roll up their sleeves and do the work themselves. The key is keeping management layers lean and purposeful. Every additional layer doesn’t just slow communication—it slows decision-making exponentially. When I worked on YouTube’s creator tools with just three people, we could make product decisions in a hallway conversation. As the team grew, we had to work deliberately to preserve those short communication paths. The solution isn’t to eliminate management, but to ensure every manager is deeply involved in the product and technology decisions. They need to be translators and connectors, not just people-processors. 3. The Reverse Hierarchy: Bottom-Up Innovation in the AI Era Plot twist: Your best AI innovations aren’t coming from the C-suite. They’re coming from individual contributors who understand their workflows intimately and can see exactly how AI can improve them. These innovations bubble up organically because the people closest to the work have the clearest vision of how to improve it. This is the bottom-up innovation that Google’s famous 20% time was designed to capture. While that specific program has evolved, the principle remains vital: the best ideas often come from unexpected places, and big companies need formal mechanisms to surface and scale them. The challenge is creating systems that can recognize these grassroots innovations and turn them into company-wide capabilities without crushing the entrepreneurial spirit that created them. 4. Permission to Fail: The Failure Budget is Your Growth Capital Startups take risks because they have to—survival depends on finding something that works. Big companies often become risk-averse because they have a fleet to protect. But without intelligent risk-taking, you lose the very innovation that made you successful. When I joined the Google TV team, television was considered antiquated technology. But we believed that TV wasn’t dying; it was transforming. We created a vision for how television could embrace the future of streaming and on-demand content. Today, Google TV is recognized as a leading streaming platform. That success required maintaining a startup-like tolerance for risk even within a company where failure could affect thousands of jobs, and we continue to take risk by bringing TVs (and the company) into the AI era. The solution is the “failure budget”—an explicit acknowledgment that a certain percentage of initiatives must fail. It’s not just acceptable; it’s a necessary investment in your next breakthrough. When your teams know they have the permission to fail intelligently, they are free to take the bold, calculated risks that lead to platform-defining success. 5. The Pirate Code: Direct Lines, Bold Moves Speed is irrelevant if you can’t integrate the results into the main fleet. This is the final paradox: How do you move fast on innovation while maintaining stability in your core products? The challenge is that a scrappy pirate crew can move fast, but if their efforts are not designed to integrate with the enterprise architecture, the snowball melts before it can cause an avalanche. Users become accustomed to process and resist change, requiring a delicate balance. The modern pirate must be an intrapreneur—someone who looks for opportunities where their disruptor mindset can expand existing structures rather than competing with them. This requires building deliberate bridges between the startup-mode teams and the enterprise operations. Maintaining startup DNA at scale requires deliberate choices about structure, culture, and leadership. Pirates need direct communication channels—at Google, we continue to maintain “TGIF”—a forum where everyone in the company is invited to hear what is on executives’ minds and to directly ask questions. Leaders need to think like founders, taking personal ownership of outcomes and making decisions quickly. And successful intrapreneurs learn to pick their fights carefully, looking for opportunities where their disruptor mindset can expand existing structures rather than competing with them. Choosing to Stay Pirates The choice to maintain Startup DNA is not about company size; it is a deliberate design choice about mindset, systems, culture, and leadership practices. The companies that will dominate the next decade won’t be the ones that perfected the corporate playbook. They’ll be the ones that figured out how to scale the pirate playbook. They will be the ones that cracked the code on how to be pirates at navy scale. In a world where change is moving at startup speed, corporate thinking gets left in the wake. Only the modern pirates will keep up. View the full article

Office work is officially back from the dead—if New York is any indication, that is. In Manhattan, businesses are leasing more office space than they have in close to a decade, in a sign that the return-to-office movement is likely to stick around. According to real estate investor CBRE, during the first nine months of 2025, Manhattan businesses leased 23.2 million square feet of office space, the most since 2006. Leasing has already surpassed last year’s total, with 143 leases at more than $100 per square foot. However, as the epicenter of business, New York City is an outlier: Nationally, leasing is still around 11% below the pre-COVID average. Unsurprisingly, financial firms, as well as tech, media, and advertising companies, are driving the surge with major deals. In April, Deloitte signed a lease with Hudson Yards for 800,000 square feet of a 717-foot tower still under construction. Amazon is expanding its NYC office presence, too. In 2020, the tech giant bought the historic Lord & Taylor building. This year, the company bought a building at 522 Fifth Ave. A month earlier, the company leased 330,000 square feet of office space from Israel-based Property & Building Corp. at Bryant Park. The leasing boom is so pronounced that developers have announced more than six new projects to meet the growing demand. This includes a new office building in Grand Central with Ikea as a ground-floor tenant, and JPMorgan Chase’s $3 billion tower at 270 Park Ave. With all the extra office space, New Yorkers are going to be expected to occupy it—particularly given the rise in return-to-office initiatives. Case in point: Last year, Amazon CEO Andy Jassy mandated that nearly all Amazon employees work in the office five days a week, pressing that on-site presence fuels productivity and creativity. “When we look back over the last five years, we continue to believe that the advantages of being together in the office are significant,” Jassy wrote in a memo. “It’s easier for our teammates to learn, model, practice, and strengthen our culture; collaborating, brainstorming, and inventing are simpler and more effective; teaching and learning from one another are more seamless; and, teams tend to be better connected to one another.” In July 2025, New York office visits were 1.3% higher than they were six years ago. But nationally, return-to-office policies have been trending upward, too. A recent Kastle Systems report found that in Class A+ buildings (new, high-quality buildings usually occupied by major companies), office attendance was around 76.3% in the 10 largest U.S. metro areas. The overall average for the same cities was 54.1%. View the full article

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When it pertains to effective onboarding, utilizing the right employee training materials is vital for success. You’ll find that thorough company policy guides provide fundamental information on workplace conduct and benefits. Meanwhile, interactive role-specific training modules engage new hires with customized content. Furthermore, access to online resources supports varied learning styles. Structured checklists and feedback forms likewise play a significant role. Comprehending how these components work together can improve your onboarding process. What comes next? Key Takeaways Comprehensive Company Policy Guides ensure new hires understand workplace expectations and benefits, enhancing their integration into the company culture. Interactive Role-Specific Training Modules offer tailored content and gamified experiences to engage employees and improve knowledge retention. Access to Online Resources and FAQs provides essential support and caters to diverse learning styles, facilitating a smoother onboarding experience. Checklists and Timelines for Progress Tracking help new hires systematically complete tasks and milestones, ensuring a structured onboarding process. Feedback Forms for Continuous Improvement allow for the collection of insights on new hire experiences, fostering ongoing enhancements in the onboarding process. Comprehensive Company Policy Guides Extensive company policy guides act as vital resources for new hires, providing a clear framework for grasping the expectations and regulations that shape your workplace environment. These guides often include critical sections on code of conduct, anti-discrimination policies, workplace safety protocols, and employee benefits. When designing your training manual, consider using training documentation examples that incorporate visuals and real-life scenarios, as this boosts engagement and retention. Creating training materials that are clear and accessible can greatly reduce misunderstandings, promoting adherence to company standards. Regularly updating these guides guarantees they reflect current laws and organizational procedures, keeping all employees informed and compliant. Utilize training guidelines samples to streamline the development of your employee training manual and improve overall onboarding effectiveness. Interactive Role-Specific Training Modules As extensive company policy guides lay a solid foundation for new hires, interactive role-specific training modules take onboarding a step further by honing in on the specific responsibilities and skills required for each position. These modules improve engagement by providing customized content, ensuring employees receive focused training. Utilizing gamification techniques, like points and rewards, can greatly boost participation rates and knowledge retention. Studies indicate that new hires in interactive training are 70% more likely to retain information. Incorporating real-world scenarios and practical exercises allows you to apply your learning immediately, bridging theory and practice. Regular updates and feedback mechanisms keep these training materials relevant, adapting to the evolving needs of both employees and the organization, serving as excellent training manual examples. Access to Online Resources and FAQs To improve the onboarding experience, providing new hires with access to online resources, such as an employee portal or Learning Management System (LMS), is essential. These platforms offer training materials, including training packets and sample training documents, allowing you to learn at your own pace. You can explore training guide examples and video tutorials that cater to various learning styles, making the process more engaging. Furthermore, incorporating an all-encompassing FAQ section helps address common concerns, enabling you to find answers quickly and reducing reliance on supervisors. Regular updates based on employee feedback guarantee that the information remains relevant and accurate, enhancing your confidence as you shift into the organization. This streamlined access ultimately contributes to a smoother onboarding process. Checklists and Timelines for Progress Tracking A structured onboarding checklist is vital for new hires to navigate their initial days effectively. Utilizing checklists and timelines helps guarantee all necessary tasks are systematically completed. Here’s a simple framework you can follow: Complete all paperwork by Day 1. Attend orientation and training sessions within the first week. Review the training manual layout and training notes in your training binder. Set milestones to finish training modules within the first 30 days. Regular check-ins at 30, 60, and 90 days are important for tracking progress. They allow you to assess integration and tackle any challenges. Feedback Forms for Continuous Improvement Gathering feedback from new hires is a key step in refining the onboarding process. Utilizing feedback forms allows you to collect both qualitative and quantitative insights about their experiences. By regularly implementing structured forms, you can make data-driven adjustments to your staff training manual, enhancing overall effectiveness. These surveys measure crucial metrics like new hire confidence and satisfaction, which can lead to improved retention rates. When you create a feedback loop, new hires feel valued, promoting a culture of continuous improvement. Analyzing trends in the feedback can help HR address onboarding challenges proactively. Therefore, making a training manual that incorporates feedback forms will eventually increase employee engagement and productivity in the long term, ensuring a smoother onboarding experience. Frequently Asked Questions What Are the 5 C’s of Effective Onboarding? The 5 C’s of effective onboarding are Compliance, Clarification, Culture, Connection, and Check-back. Compliance guarantees you understand company policies and legal requirements. Clarification defines your job role and performance expectations. Culture immerses you in the organization’s values and mission, promoting belonging. Connection helps you build relationships with peers and managers, enhancing collaboration. Finally, Check-back involves regular follow-ups to assess your progress and address any concerns, guaranteeing a smooth changeover into your new role. What Should Be Included in Onboarding Training? In onboarding training, you should include an overview of company policies and procedures, along with insights into the organizational culture. Tailoring role-specific materials is vital, as it improves job performance. Guarantee access to necessary tools and software from day one to facilitate a smooth changeover. Regular check-ins and feedback sessions help monitor progress, whereas interactive methods, such as e-learning and hands-on activities, engage you and improve retention of fundamental knowledge. What Are the 4 C’s of Effective Onboarding? The 4 C’s of effective onboarding are Compliance, Clarification, Culture, and Connection. Compliance guarantees you understand company policies and legal regulations, minimizing risks. Clarification defines your roles and responsibilities, enhancing job performance. Culture instills the organization’s values and mission, nurturing a sense of belonging. Finally, Connection promotes relationship-building with team members and stakeholders, which is key for collaboration and support, ultimately affecting retention rates and job satisfaction positively. What Are the 6 C’s of Employee Onboarding? The 6 C’s of employee onboarding are Compliance, Clarification, Confidence, Connection, Culture, and Checkback. Compliance guarantees you understand policies and legal requirements. Clarification defines your job role and expectations, so you know how to contribute. Confidence comes from effective training, helping you navigate your role with assurance. Connection builds relationships with colleagues, enhancing teamwork. Culture integrates you into the organization’s values, and Checkback guarantees ongoing support and feedback for your development. Conclusion In conclusion, effective onboarding requires a blend of vital training materials that cater to various learning needs. By utilizing extensive company policy guides, interactive role-specific modules, and accessible online resources, you can improve new hires’ integration. Checklists and timelines help track their progress, whereas feedback forms guarantee continuous improvement in the onboarding process. Implementing these five materials not just encourages a smoother change for employees but additionally contributes to higher retention rates and overall workplace satisfaction. Image Via Envato This article, "5 Essential Employee Training Materials for Effective Onboarding" was first published on Small Business Trends View the full article

When it pertains to effective onboarding, utilizing the right employee training materials is vital for success. You’ll find that thorough company policy guides provide fundamental information on workplace conduct and benefits. Meanwhile, interactive role-specific training modules engage new hires with customized content. Furthermore, access to online resources supports varied learning styles. Structured checklists and feedback forms likewise play a significant role. Comprehending how these components work together can improve your onboarding process. What comes next? Key Takeaways Comprehensive Company Policy Guides ensure new hires understand workplace expectations and benefits, enhancing their integration into the company culture. Interactive Role-Specific Training Modules offer tailored content and gamified experiences to engage employees and improve knowledge retention. Access to Online Resources and FAQs provides essential support and caters to diverse learning styles, facilitating a smoother onboarding experience. Checklists and Timelines for Progress Tracking help new hires systematically complete tasks and milestones, ensuring a structured onboarding process. Feedback Forms for Continuous Improvement allow for the collection of insights on new hire experiences, fostering ongoing enhancements in the onboarding process. Comprehensive Company Policy Guides Extensive company policy guides act as vital resources for new hires, providing a clear framework for grasping the expectations and regulations that shape your workplace environment. These guides often include critical sections on code of conduct, anti-discrimination policies, workplace safety protocols, and employee benefits. When designing your training manual, consider using training documentation examples that incorporate visuals and real-life scenarios, as this boosts engagement and retention. Creating training materials that are clear and accessible can greatly reduce misunderstandings, promoting adherence to company standards. Regularly updating these guides guarantees they reflect current laws and organizational procedures, keeping all employees informed and compliant. Utilize training guidelines samples to streamline the development of your employee training manual and improve overall onboarding effectiveness. Interactive Role-Specific Training Modules As extensive company policy guides lay a solid foundation for new hires, interactive role-specific training modules take onboarding a step further by honing in on the specific responsibilities and skills required for each position. These modules improve engagement by providing customized content, ensuring employees receive focused training. Utilizing gamification techniques, like points and rewards, can greatly boost participation rates and knowledge retention. Studies indicate that new hires in interactive training are 70% more likely to retain information. Incorporating real-world scenarios and practical exercises allows you to apply your learning immediately, bridging theory and practice. Regular updates and feedback mechanisms keep these training materials relevant, adapting to the evolving needs of both employees and the organization, serving as excellent training manual examples. Access to Online Resources and FAQs To improve the onboarding experience, providing new hires with access to online resources, such as an employee portal or Learning Management System (LMS), is essential. These platforms offer training materials, including training packets and sample training documents, allowing you to learn at your own pace. You can explore training guide examples and video tutorials that cater to various learning styles, making the process more engaging. Furthermore, incorporating an all-encompassing FAQ section helps address common concerns, enabling you to find answers quickly and reducing reliance on supervisors. Regular updates based on employee feedback guarantee that the information remains relevant and accurate, enhancing your confidence as you shift into the organization. This streamlined access ultimately contributes to a smoother onboarding process. Checklists and Timelines for Progress Tracking A structured onboarding checklist is vital for new hires to navigate their initial days effectively. Utilizing checklists and timelines helps guarantee all necessary tasks are systematically completed. Here’s a simple framework you can follow: Complete all paperwork by Day 1. Attend orientation and training sessions within the first week. Review the training manual layout and training notes in your training binder. Set milestones to finish training modules within the first 30 days. Regular check-ins at 30, 60, and 90 days are important for tracking progress. They allow you to assess integration and tackle any challenges. Feedback Forms for Continuous Improvement Gathering feedback from new hires is a key step in refining the onboarding process. Utilizing feedback forms allows you to collect both qualitative and quantitative insights about their experiences. By regularly implementing structured forms, you can make data-driven adjustments to your staff training manual, enhancing overall effectiveness. These surveys measure crucial metrics like new hire confidence and satisfaction, which can lead to improved retention rates. When you create a feedback loop, new hires feel valued, promoting a culture of continuous improvement. Analyzing trends in the feedback can help HR address onboarding challenges proactively. Therefore, making a training manual that incorporates feedback forms will eventually increase employee engagement and productivity in the long term, ensuring a smoother onboarding experience. Frequently Asked Questions What Are the 5 C’s of Effective Onboarding? The 5 C’s of effective onboarding are Compliance, Clarification, Culture, Connection, and Check-back. Compliance guarantees you understand company policies and legal requirements. Clarification defines your job role and performance expectations. Culture immerses you in the organization’s values and mission, promoting belonging. Connection helps you build relationships with peers and managers, enhancing collaboration. Finally, Check-back involves regular follow-ups to assess your progress and address any concerns, guaranteeing a smooth changeover into your new role. What Should Be Included in Onboarding Training? In onboarding training, you should include an overview of company policies and procedures, along with insights into the organizational culture. Tailoring role-specific materials is vital, as it improves job performance. Guarantee access to necessary tools and software from day one to facilitate a smooth changeover. Regular check-ins and feedback sessions help monitor progress, whereas interactive methods, such as e-learning and hands-on activities, engage you and improve retention of fundamental knowledge. What Are the 4 C’s of Effective Onboarding? The 4 C’s of effective onboarding are Compliance, Clarification, Culture, and Connection. Compliance guarantees you understand company policies and legal regulations, minimizing risks. Clarification defines your roles and responsibilities, enhancing job performance. Culture instills the organization’s values and mission, nurturing a sense of belonging. Finally, Connection promotes relationship-building with team members and stakeholders, which is key for collaboration and support, ultimately affecting retention rates and job satisfaction positively. What Are the 6 C’s of Employee Onboarding? The 6 C’s of employee onboarding are Compliance, Clarification, Confidence, Connection, Culture, and Checkback. Compliance guarantees you understand policies and legal requirements. Clarification defines your job role and expectations, so you know how to contribute. Confidence comes from effective training, helping you navigate your role with assurance. Connection builds relationships with colleagues, enhancing teamwork. Culture integrates you into the organization’s values, and Checkback guarantees ongoing support and feedback for your development. Conclusion In conclusion, effective onboarding requires a blend of vital training materials that cater to various learning needs. By utilizing extensive company policy guides, interactive role-specific modules, and accessible online resources, you can improve new hires’ integration. Checklists and timelines help track their progress, whereas feedback forms guarantee continuous improvement in the onboarding process. Implementing these five materials not just encourages a smoother change for employees but additionally contributes to higher retention rates and overall workplace satisfaction. Image Via Envato This article, "5 Essential Employee Training Materials for Effective Onboarding" was first published on Small Business Trends View the full article

The next chair is likely to be named to a 14-year Fed governor term which opens up in early 2026. View the full article

The head of the government-sponsored enterprises' oversight agency also asked existing investors to review risk factors as officials eye a new public offering. View the full article

In the context of optimizing your supply chain, selecting the right software is essential. Tools like SAP Integrated Business Planning and Oracle Fusion Cloud SCM offer advanced analytics and real-time forecasting capabilities. Kinaxis RapidResponse enables concurrent planning, whereas Coupa Supply Chain Design & Planning stands out in scenario planning. Each tool presents unique features that can improve efficiency and decision-making. Comprehending these options is key to enhancing your supply chain performance. So, which tool fits your needs best? Key Takeaways SAP Integrated Business Planning offers real-time data access and scenario planning, enhancing decision-making for supply chain optimization. Oracle Fusion Cloud SCM harnesses AI-driven analytics for predictive planning and real-time visibility across the supply chain. Kinaxis RapidResponse features a centralized command center with live data, enabling real-time decision-making and collaboration among stakeholders. Coupa Supply Chain Design & Planning utilizes advanced network optimization and scenario planning to create efficient supply networks. Anaplan for Supply Chain provides connected planning with advanced scenario modeling and interactive dashboards for enhanced visibility across departments. SAP Integrated Business Planning (SAP IBP) SAP Integrated Business Planning (SAP IBP) is a robust cloud-based tool that facilitates demand forecasting, supply planning, and scenario simulation, offering extensive visibility across the supply chain. It functions as an AI supply chain platform, enabling real-time data access for prompt decision-making, which helps you respond quickly to shifting market conditions and customer demands. With SAP IBP, you can engage in scenario planning to identify and mitigate potential risks, enhancing resilience and stability. Trusted by both Fortune 500 companies and midsize firms, this supply chain optimization software integrates seamlessly with other SAP solutions, such as SAP S/4HANA. Oracle Fusion Cloud SCM Oracle Fusion Cloud SCM stands out as an extensive cloud-based suite that greatly boosts supply chain management through the use of AI-driven analytics and real-time visibility. This potent supply chain management software online integrates seamlessly with other Oracle applications, enabling you to streamline operations from product design to delivery. You’ll benefit from predictive planning capabilities supported by machine learning, allowing you to anticipate demand fluctuations and optimize inventory levels effectively. The platform features a real-time visibility dashboard that improves collaboration among supply chain participants, facilitating quicker decision-making. Nonetheless, keep in mind that organizations may encounter a steep learning curve and high implementation costs, so evaluating compatibility with existing systems is essential before adoption of this artificial intelligence supply chain software. Kinaxis RapidResponse Kinaxis RapidResponse stands out as a robust cloud-based supply chain management platform that empowers organizations to make real-time decisions and engage in concurrent planning across various supply chain functions. This cloud-based supply chain software provides a centralized command center with custom dashboards featuring live data, allowing you to swiftly respond to disruptions and fluctuations in demand. Its advanced scenario simulation capabilities enable you to test different supply chain strategies, evaluating potential impacts before implementation. Particularly beneficial for industries like electronics, automotive, and health products, RapidResponse improves collaboration among stakeholders, promoting transparency and alignment. With its integration of supply chain AI solutions, you can optimize decision-making, ensuring you stay ahead in today’s fast-paced market environment. Coupa Supply Chain Design & Planning Coupa Supply Chain Design & Planning empowers you to create efficient supply networks through advanced integrated scenario planning. By utilizing real-time data, you can make data-driven decisions that improve supply chain responsiveness and efficiency, helping you identify potential savings before making significant investments. This platform additionally promotes collaboration among purchasing, operations, and finance teams, allowing you to navigate trade-offs effectively and streamline your supply chain management. Integrated Scenario Planning Integrated scenario planning tools are essential for businesses looking to optimize their supply chain configurations before committing to significant investments. Coupa Supply Chain Design & Planning offers advanced network optimization software that allows you to model and simulate various supply chain designs. This feature helps forecast costs and identify potential savings. With Coupa’s user-friendly interface, you can easily conduct scenario analyses, ensuring that your team makes informed decisions based on real-time data. Collaboration across departments is seamless, aligning all stakeholders during the planning process. By leveraging Coupa’s optimization toolkit, you can improve efficiency and responsiveness, eventually reducing operational costs. Scenario Type Cost Forecasting Potential Savings Current Design $100,000 $10,000 Alternative A $90,000 $20,000 Alternative B $85,000 $30,000 Data-Driven Decision Making Effective supply chain management relies heavily on data-driven decision-making to optimize operations and improve efficiency. Coupa Supply Chain Design & Planning leverages advanced modeling and simulation tools, allowing you to forecast costs and identify potential savings before making significant investments. This ai supply chain software enables scenario testing, helping you evaluate various routing and supplier mix options. By integrating seamlessly with existing enterprise systems, Coupa guarantees data flows smoothly across departments, promoting unified decision-making. Companies using this supply chain intelligence software have reported improved agility and responsiveness, leading to reduced operational costs and enhanced customer satisfaction. In the end, Coupa empowers you to make informed decisions that drive overall operational effectiveness in your supply chain. Collaboration and Trade-offs When organizations prioritize collaboration in their supply chain design, they can greatly improve decision-making processes and streamline operations. Coupa Supply Chain Design & Planning emphasizes the importance of collaboration and trade-offs, enabling businesses to: Model and forecast costs effectively, identifying potential savings before major investments. Use advanced network modeling and simulation tools to visualize trade-offs in different design scenarios. Balance cost, service levels, and inventory management. Manhattan Active Supply Chain Manhattan Active Supply Chain offers a complete suite that integrates warehouse operations, transportation, and order fulfillment to streamline your entire supply chain process. Its cloud-based platform provides real-time order orchestration, advanced analytics, and automation, making it easier for you to adapt to changing market conditions. Key Features Overview Offering a thorough suite for warehouse operations, the Active Supply Chain platform allows businesses to manage transportation and order fulfillment processes seamlessly. This robust supply chain software is designed for scalability, making it suitable for companies of all sizes. Key features include: Real-time order orchestration: Track and manage orders from initiation to delivery with improved visibility. Advanced analytics integration: Optimize inventory levels, improving overall supply chain responsiveness. Collaboration facilitation: Guarantee all stakeholders have access to real-time data and insights for informed decision-making. With Manhattan Active Supply Chain’s supply chain logistics software, you can streamline operations, boost efficiency, and adapt to changing demands, guaranteeing your business remains competitive in today’s fast-paced market. Integration Capabilities Integration capabilities are crucial for the effectiveness of any supply chain management solution, and this is where Manhattan Active Supply Chain shines. The platform offers robust integration with various enterprise systems like ERP, TMS, and WMS, ensuring seamless data flow across all functions. You’ll benefit from real-time data synchronization, allowing you to make informed decisions based on the latest operational insights. Furthermore, Manhattan Active supports easy connectivity to third-party applications via APIs, enhancing flexibility and customization for your unique business needs. Its modular architecture facilitates customized integrations, enabling you to adopt specific functionalities without overhauling existing systems. This unified interface reduces the complexity of managing multiple integrations, finally enhancing operational efficiency for businesses, including those among ai supply chain companies and supply chain artificial intelligence companies. Performance Metrics Analysis Effective performance metrics analysis is essential for organizations looking to optimize their supply chain operations. With Manhattan Active Supply Chain, you can leverage real-time insights to improve decision-making. Here are key features that benefit your organization: Custom Dashboards: Track specific performance metrics like inventory levels and order fulfillment rates designed to your needs. Advanced Analytics: Identify inefficiencies using machine learning supply chain software, enabling continuous improvement in operations. Scenario Modeling: Assess potential changes in supply chain strategies, ensuring you’re prepared for market fluctuations. Blue Yonder (formerly JDA Software) Blue Yonder, previously known as JDA Software, stands at the forefront of AI-driven supply chain planning and execution solutions, streamlining operations and enhancing responsiveness across various industries. This intelligent supply chain platform shines in predictive capabilities, utilizing machine learning to boost forecasting accuracy and synchronize inventory with real-time sales data. With modules like Intelligent Fulfillment and Demand Planning, you gain end-to-end visibility and unified decision-making. Furthermore, Blue Yonder offers advanced supply chain simulation software, allowing you to test various scenarios and optimize your strategies effectively. Recognized for reducing inventory costs and improving service levels, it’s particularly favored in the retail and consumer goods sectors, helping businesses adapt to complex supply chain challenges efficiently. Anaplan for Supply Chain Anaplan for Supply Chain serves as a strong connected planning platform that boosts collaboration across various departments, including supply chain, finance, HR, and sales, ensuring alignment during periods of rapid change. This supply chain modeling software offers advanced scenario modeling capabilities, allowing you to simulate different supply chain scenarios and make informed decisions based on real-time data. Key features include: Interactive dashboards for improved visibility. Cloud-based architecture for quick deployment and scalability. Customization flexibility to tailor the platform to specific needs. With Anaplan, you can effectively manage complex supply chains and utilize its advanced reporting tools, making it a robust option for organizations seeking an all-encompassing solution or even free supply chain management software alternatives. Frequently Asked Questions What Is a Common Tool Used for Supply Chain Network Optimization? A common tool for supply chain network optimization is Llamasoft. This software uses AI-driven optimization engines to improve supply networks by testing various routing and supplier mix options. It allows you to analyze different scenarios, helping you identify the most efficient paths and partnerships. Furthermore, Coupa Supply Chain Design & Planning is another effective tool, focusing on modeling supply networks and forecasting costs, which can lead to significant savings before making major investments. What Are the 7 C’s of SCM? The 7 C’s of Supply Chain Management are vital for optimizing performance. Customer emphasizes comprehension and meeting needs to boost satisfaction. Cost involves managing expenses to improve profitability. Communication guarantees clear information exchange among stakeholders, promoting transparency. Collaboration focuses on partnerships to increase efficiency. Capability highlights developing necessary skills and technology. Compliance guarantees adherence to regulations, whereas Continuity addresses planning for disruptions, maintaining smooth operations, and securing supply chain resilience. Each element is significant for success. Which Software Is Best for Supply Chain Management? When choosing software for supply chain management, consider platforms like SAP Integrated Business Planning for real-time data and scenario planning, or Oracle Fusion Cloud SCM for its efficiency in logistics. Kinaxis RapidResponse offers real-time insights and concurrent planning, whereas Coupa focuses on optimizing supply network designs. Each option has unique features, so assess your specific needs, such as demand forecasting or logistics management, to find the best fit for your organization. What Are the 7 Major Elements of Supply Chain Management? The seven major elements of supply chain management include planning, sourcing, manufacturing, delivery, returns, and facilitating processes. Planning involves forecasting demand and managing inventory. Sourcing focuses on selecting suppliers and negotiating contracts to secure quality materials. Manufacturing converts raw materials into finished products. Delivery guarantees timely transportation to customers. Returns manage product returns effectively. Facilitating processes streamline operations and promote communication across these elements, enhancing overall efficiency and performance in the supply chain. Conclusion Ultimately, selecting the right supply chain optimization software is essential for enhancing efficiency and decision-making in your organization. Tools like SAP Integrated Business Planning and Oracle Fusion Cloud SCM offer strong analytics and forecasting capabilities, whereas Kinaxis RapidResponse supports real-time planning. Coupa and Anaplan focus on collaboration, and Manhattan Active Supply Chain stands out in integration. By leveraging these advanced solutions, you can streamline operations and adapt to market changes effectively, ensuring better overall performance in your supply chain. Image Via Envato This article, "Top 7 Supply Chain Optimization Software Tools" was first published on Small Business Trends View the full article

In the context of optimizing your supply chain, selecting the right software is essential. Tools like SAP Integrated Business Planning and Oracle Fusion Cloud SCM offer advanced analytics and real-time forecasting capabilities. Kinaxis RapidResponse enables concurrent planning, whereas Coupa Supply Chain Design & Planning stands out in scenario planning. Each tool presents unique features that can improve efficiency and decision-making. Comprehending these options is key to enhancing your supply chain performance. So, which tool fits your needs best? Key Takeaways SAP Integrated Business Planning offers real-time data access and scenario planning, enhancing decision-making for supply chain optimization. Oracle Fusion Cloud SCM harnesses AI-driven analytics for predictive planning and real-time visibility across the supply chain. Kinaxis RapidResponse features a centralized command center with live data, enabling real-time decision-making and collaboration among stakeholders. Coupa Supply Chain Design & Planning utilizes advanced network optimization and scenario planning to create efficient supply networks. Anaplan for Supply Chain provides connected planning with advanced scenario modeling and interactive dashboards for enhanced visibility across departments. SAP Integrated Business Planning (SAP IBP) SAP Integrated Business Planning (SAP IBP) is a robust cloud-based tool that facilitates demand forecasting, supply planning, and scenario simulation, offering extensive visibility across the supply chain. It functions as an AI supply chain platform, enabling real-time data access for prompt decision-making, which helps you respond quickly to shifting market conditions and customer demands. With SAP IBP, you can engage in scenario planning to identify and mitigate potential risks, enhancing resilience and stability. Trusted by both Fortune 500 companies and midsize firms, this supply chain optimization software integrates seamlessly with other SAP solutions, such as SAP S/4HANA. Oracle Fusion Cloud SCM Oracle Fusion Cloud SCM stands out as an extensive cloud-based suite that greatly boosts supply chain management through the use of AI-driven analytics and real-time visibility. This potent supply chain management software online integrates seamlessly with other Oracle applications, enabling you to streamline operations from product design to delivery. You’ll benefit from predictive planning capabilities supported by machine learning, allowing you to anticipate demand fluctuations and optimize inventory levels effectively. The platform features a real-time visibility dashboard that improves collaboration among supply chain participants, facilitating quicker decision-making. Nonetheless, keep in mind that organizations may encounter a steep learning curve and high implementation costs, so evaluating compatibility with existing systems is essential before adoption of this artificial intelligence supply chain software. Kinaxis RapidResponse Kinaxis RapidResponse stands out as a robust cloud-based supply chain management platform that empowers organizations to make real-time decisions and engage in concurrent planning across various supply chain functions. This cloud-based supply chain software provides a centralized command center with custom dashboards featuring live data, allowing you to swiftly respond to disruptions and fluctuations in demand. Its advanced scenario simulation capabilities enable you to test different supply chain strategies, evaluating potential impacts before implementation. Particularly beneficial for industries like electronics, automotive, and health products, RapidResponse improves collaboration among stakeholders, promoting transparency and alignment. With its integration of supply chain AI solutions, you can optimize decision-making, ensuring you stay ahead in today’s fast-paced market environment. Coupa Supply Chain Design & Planning Coupa Supply Chain Design & Planning empowers you to create efficient supply networks through advanced integrated scenario planning. By utilizing real-time data, you can make data-driven decisions that improve supply chain responsiveness and efficiency, helping you identify potential savings before making significant investments. This platform additionally promotes collaboration among purchasing, operations, and finance teams, allowing you to navigate trade-offs effectively and streamline your supply chain management. Integrated Scenario Planning Integrated scenario planning tools are essential for businesses looking to optimize their supply chain configurations before committing to significant investments. Coupa Supply Chain Design & Planning offers advanced network optimization software that allows you to model and simulate various supply chain designs. This feature helps forecast costs and identify potential savings. With Coupa’s user-friendly interface, you can easily conduct scenario analyses, ensuring that your team makes informed decisions based on real-time data. Collaboration across departments is seamless, aligning all stakeholders during the planning process. By leveraging Coupa’s optimization toolkit, you can improve efficiency and responsiveness, eventually reducing operational costs. Scenario Type Cost Forecasting Potential Savings Current Design $100,000 $10,000 Alternative A $90,000 $20,000 Alternative B $85,000 $30,000 Data-Driven Decision Making Effective supply chain management relies heavily on data-driven decision-making to optimize operations and improve efficiency. Coupa Supply Chain Design & Planning leverages advanced modeling and simulation tools, allowing you to forecast costs and identify potential savings before making significant investments. This ai supply chain software enables scenario testing, helping you evaluate various routing and supplier mix options. By integrating seamlessly with existing enterprise systems, Coupa guarantees data flows smoothly across departments, promoting unified decision-making. Companies using this supply chain intelligence software have reported improved agility and responsiveness, leading to reduced operational costs and enhanced customer satisfaction. In the end, Coupa empowers you to make informed decisions that drive overall operational effectiveness in your supply chain. Collaboration and Trade-offs When organizations prioritize collaboration in their supply chain design, they can greatly improve decision-making processes and streamline operations. Coupa Supply Chain Design & Planning emphasizes the importance of collaboration and trade-offs, enabling businesses to: Model and forecast costs effectively, identifying potential savings before major investments. Use advanced network modeling and simulation tools to visualize trade-offs in different design scenarios. Balance cost, service levels, and inventory management. Manhattan Active Supply Chain Manhattan Active Supply Chain offers a complete suite that integrates warehouse operations, transportation, and order fulfillment to streamline your entire supply chain process. Its cloud-based platform provides real-time order orchestration, advanced analytics, and automation, making it easier for you to adapt to changing market conditions. Key Features Overview Offering a thorough suite for warehouse operations, the Active Supply Chain platform allows businesses to manage transportation and order fulfillment processes seamlessly. This robust supply chain software is designed for scalability, making it suitable for companies of all sizes. Key features include: Real-time order orchestration: Track and manage orders from initiation to delivery with improved visibility. Advanced analytics integration: Optimize inventory levels, improving overall supply chain responsiveness. Collaboration facilitation: Guarantee all stakeholders have access to real-time data and insights for informed decision-making. With Manhattan Active Supply Chain’s supply chain logistics software, you can streamline operations, boost efficiency, and adapt to changing demands, guaranteeing your business remains competitive in today’s fast-paced market. Integration Capabilities Integration capabilities are crucial for the effectiveness of any supply chain management solution, and this is where Manhattan Active Supply Chain shines. The platform offers robust integration with various enterprise systems like ERP, TMS, and WMS, ensuring seamless data flow across all functions. You’ll benefit from real-time data synchronization, allowing you to make informed decisions based on the latest operational insights. Furthermore, Manhattan Active supports easy connectivity to third-party applications via APIs, enhancing flexibility and customization for your unique business needs. Its modular architecture facilitates customized integrations, enabling you to adopt specific functionalities without overhauling existing systems. This unified interface reduces the complexity of managing multiple integrations, finally enhancing operational efficiency for businesses, including those among ai supply chain companies and supply chain artificial intelligence companies. Performance Metrics Analysis Effective performance metrics analysis is essential for organizations looking to optimize their supply chain operations. With Manhattan Active Supply Chain, you can leverage real-time insights to improve decision-making. Here are key features that benefit your organization: Custom Dashboards: Track specific performance metrics like inventory levels and order fulfillment rates designed to your needs. Advanced Analytics: Identify inefficiencies using machine learning supply chain software, enabling continuous improvement in operations. Scenario Modeling: Assess potential changes in supply chain strategies, ensuring you’re prepared for market fluctuations. Blue Yonder (formerly JDA Software) Blue Yonder, previously known as JDA Software, stands at the forefront of AI-driven supply chain planning and execution solutions, streamlining operations and enhancing responsiveness across various industries. This intelligent supply chain platform shines in predictive capabilities, utilizing machine learning to boost forecasting accuracy and synchronize inventory with real-time sales data. With modules like Intelligent Fulfillment and Demand Planning, you gain end-to-end visibility and unified decision-making. Furthermore, Blue Yonder offers advanced supply chain simulation software, allowing you to test various scenarios and optimize your strategies effectively. Recognized for reducing inventory costs and improving service levels, it’s particularly favored in the retail and consumer goods sectors, helping businesses adapt to complex supply chain challenges efficiently. Anaplan for Supply Chain Anaplan for Supply Chain serves as a strong connected planning platform that boosts collaboration across various departments, including supply chain, finance, HR, and sales, ensuring alignment during periods of rapid change. This supply chain modeling software offers advanced scenario modeling capabilities, allowing you to simulate different supply chain scenarios and make informed decisions based on real-time data. Key features include: Interactive dashboards for improved visibility. Cloud-based architecture for quick deployment and scalability. Customization flexibility to tailor the platform to specific needs. With Anaplan, you can effectively manage complex supply chains and utilize its advanced reporting tools, making it a robust option for organizations seeking an all-encompassing solution or even free supply chain management software alternatives. Frequently Asked Questions What Is a Common Tool Used for Supply Chain Network Optimization? A common tool for supply chain network optimization is Llamasoft. This software uses AI-driven optimization engines to improve supply networks by testing various routing and supplier mix options. It allows you to analyze different scenarios, helping you identify the most efficient paths and partnerships. Furthermore, Coupa Supply Chain Design & Planning is another effective tool, focusing on modeling supply networks and forecasting costs, which can lead to significant savings before making major investments. What Are the 7 C’s of SCM? The 7 C’s of Supply Chain Management are vital for optimizing performance. Customer emphasizes comprehension and meeting needs to boost satisfaction. Cost involves managing expenses to improve profitability. Communication guarantees clear information exchange among stakeholders, promoting transparency. Collaboration focuses on partnerships to increase efficiency. Capability highlights developing necessary skills and technology. Compliance guarantees adherence to regulations, whereas Continuity addresses planning for disruptions, maintaining smooth operations, and securing supply chain resilience. Each element is significant for success. Which Software Is Best for Supply Chain Management? When choosing software for supply chain management, consider platforms like SAP Integrated Business Planning for real-time data and scenario planning, or Oracle Fusion Cloud SCM for its efficiency in logistics. Kinaxis RapidResponse offers real-time insights and concurrent planning, whereas Coupa focuses on optimizing supply network designs. Each option has unique features, so assess your specific needs, such as demand forecasting or logistics management, to find the best fit for your organization. What Are the 7 Major Elements of Supply Chain Management? The seven major elements of supply chain management include planning, sourcing, manufacturing, delivery, returns, and facilitating processes. Planning involves forecasting demand and managing inventory. Sourcing focuses on selecting suppliers and negotiating contracts to secure quality materials. Manufacturing converts raw materials into finished products. Delivery guarantees timely transportation to customers. Returns manage product returns effectively. Facilitating processes streamline operations and promote communication across these elements, enhancing overall efficiency and performance in the supply chain. Conclusion Ultimately, selecting the right supply chain optimization software is essential for enhancing efficiency and decision-making in your organization. Tools like SAP Integrated Business Planning and Oracle Fusion Cloud SCM offer strong analytics and forecasting capabilities, whereas Kinaxis RapidResponse supports real-time planning. Coupa and Anaplan focus on collaboration, and Manhattan Active Supply Chain stands out in integration. By leveraging these advanced solutions, you can streamline operations and adapt to market changes effectively, ensuring better overall performance in your supply chain. Image Via Envato This article, "Top 7 Supply Chain Optimization Software Tools" was first published on Small Business Trends View the full article