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Scam calls are turning the world on its head. The Global Anti-Scam Alliance estimates that scammers stole a staggering $1.03 trillion globally in 2023, including losses from online fraud and scam calls. Robocalls and phone scams have long been a frustrating—and often dangerous—problem for consumers. Now, artificial intelligence is elevating the threat, making scams more deceptive, efficient, and harder to detect. While Eric Priezkalns, an analyst and editor at Commsrisk, believes the impact of AI on scam calls is currently exaggerated, he notes that the use of AI by scammers is focused on producing fake content, which looks real or on varying the content in messages d…

Some places are simply nicer to walk through than others. Compare a tree-lined path along the Seine in Paris to the side of a six-lane highway in Tallahassee, Florida, and the differences are obvious. But what exactly makes a place walkable is a matter of some debate. Those of the urbanist persuasion might point to a place’s density or mix of land uses. Platforms like Walk Score might favor accessibility, proximity, and travel times. One person might want to have a café within walking distance, while another might want the safety of working streetlights. Conditions are varied, and uneven. To better understand what exactly makes a place walkable, the architecture …

Sometimes, you need to shake things up in your career. Maybe the job isn’t as fulfilling anymore. Maybe changing circumstances are pushing you toward a new path. Either way, figuring out what to do next can be a challenge. Increasingly, artificial intelligence is helping people explore their next steps—even when they’re unsure themselves. Chatbots like ChatGPT can offer some guidance, provided you know how to phrase your questions. But several companies have developed specialized tools that focus specifically on this issue. Google is leading the pack with its Career Dreamer. Described as “a playful way to explore career possibilities with AI,” it’s a tool that any…

Most immersive experiences today may feel stale in retrospect. Brands have invested heavily in creating spaces meant to captivate, yet these experiences all replicate the same visual and audio cues, making it increasingly difficult for brands to differentiate. The underlying issue is a technological design constraint: You can either create something highly personalized or something that scales to hundreds of people simultaneously, but rarely both. A seismic change is afoot that will dwarf the previous chasm, like the shift from black and white film to color cinema. Multimodal AI is poised to eliminate the joint scaling and personalization limitation, enabling truly mu…

As Hurricane Melissa battered the Caribbean this week, social media became awash with AI-generated content that blurs the line between reality and fiction. Described by CBS News as “one of the strongest hurricanes ever recorded in the Atlantic,” Melissa reached Category 5 intensity as it made landfall in Jamaica on Tuesday. CNN reports that it has already caused seven deaths in the northern Caribbean, and is the most powerful storm to hit the basin since 2019’s Hurricane Dorian. Amid a crisis, social media is flooded Over the last few days, major social media platforms have been saturated with AI-generated videos—depicting a wide range of content supposedly re…

Imagine two interns. The first follows instructions to the letter—compiling research, scheduling social media posts, and managing your calendar. The second completes the same tasks but takes it a step further—finding additional research sources, streamlining the social media workflow, and proactively suggesting optimal meeting times based on past interactions and behaviors. These two interns, with their overlapping but distinct capabilities, capture the essence of automation versus AI. Both liberate users from tedious manual work, but only one, with its built-in autonomy, is changing the nature of how we interact with technology. At Jotform, we’ve incorporat…

Artificial intelligence is everywhere. It fuels boardroom debates, guides priorities, defines access to information, and nudges consumer experiences. But while AI promises sharper insights and faster action, it also accelerates blind spots leaders already struggle with. The paradox is this: AI can widen vision, but if used without the right insight, it narrows it. And when those blind spots meet the speed of AI adoption, the consequences multiply. I’ve seen this play out across industries—through my leadership roles at Google, Maersk, and Diageo, and in advising executives shaping some of the world’s largest organizations. The pattern is clear: technology does not…

Imagine this: One day, you won’t have to waste hours of your life doing your most arduous, least favorite forms of shopping. You know what I’m talking about—buying Christmas presents for distant aunts, getting supplies for your kid’s birthday, ordering groceries for dinner. In the near future, you’ll empower your AI agent to tackle the task, then off it will go, identifying the right items, comparing prices and—most impressively—making the purchase for you. Within hours, a tin of your aunt’s favorite biscuits, the correct number of Peppa Pig plates, and a bag of groceries will arrive at your doorstep. We’re not quite there yet, but experts say that this future is …

Since our return from Davos, Switzerland, earlier this year, we have been dissecting the World Economic Forum’s Future of Jobs Report 2025. The WEF surveyed more than 1,000 companies from 22 different industries across 55 countries to attempt to predict and paint a picture of what work will look like in 2030. The encouraging news is that there are projected to be 170 million new jobs globally by 2030; however, 92 million jobs are expected to be eliminated due to AI automation. That is a net gain of 78 million jobs by 2030. To get a true understanding of why and how this shift will occur, here is a look at the story beneath the story. 4 factors reshaping the glo…

The Fast Company Impact Council is an invitation-only membership community of leaders, experts, executives, and entrepreneurs who share their insights with our audience. Members pay annual dues for access to peer learning, thought leadership opportunities, events and more. Imagine a world where marketing managers oversee AI copywriters, sales leaders direct AI-powered CRM systems, and engineers supervise code-generating agents. This is already starting to happen. By 2030, AI is projected to displace 92 million jobs while creating 170 million new ones, according to the World Economic Forum. Rather than replacing humans, AI is redefining their roles. In the near…

If you work in an office, your next coworker might not be human at all. Workers are already well-acquainted with artificial intelligence in the office, using AI tools to take notes, automate tasks, and assist with workflow. Now, Microsoft is working on a new kind of AI agent that doesn’t just assist, but acts as an employee. These “Agentic Users” will soon have their own email, Teams account, and company ID, just like a regular coworker. “Each embodied agent has its own identity, dedicated access to organizational systems and applications, and the ability to collaborate with humans and other agents,” states a Microsoft product roadmap document. “These agents ca…

When AI systems started spitting out working code, many teams welcomed them as productivity boosters. Developers turned to AI to speed up routine tasks. Leaders celebrated productivity gains. But weeks later, companies faced security breaches traced back to that code. The question is: Who should be held responsible? This isn’t hypothetical. In a survey of 450 security leaders, engineers, and developers across the U.S. and Europe, 1 in 5 organizations said they had already suffered a serious cybersecurity incident tied to AI-generated code, and more than two-thirds (69%) had uncovered flaws created by AI. Mistakes made by a machine, rather than by a human, are directl…

As a kid of the 1970s, I was fascinated by a short-lived art movement known as photorealism. The painters who practiced it created works that weren’t merely realistic. They were borderline indistinguishable from photographs—an extraordinary feat to pull off with oil on canvas. If the genre hadn’t involved so much painstaking effort, it might have gained more momentum. Thanks to generative AI tools such as DALL-E and Midjourney, which can turn a written prompt into a photo-like image in seconds, we now live in an era of point-and-click photorealism. The results often don’t amount to anything more than internet chum. I certainly didn’t consider any of it to be art—until…

When teachers rely on commonly used artificial intelligence chatbots to devise lesson plans, it does not result in more engaging, immersive, or effective learning experiences compared with existing techniques, we found in our recent study. The AI-generated civics lesson plans we analyzed also left out opportunities for students to explore the stories and experiences of traditionally marginalized people. The allure of generative AI as a teaching aid has caught the attention of educators. A Gallup survey from September 2025 found that 60% of K-12 teachers are already using AI in their work, with the most common reported use being teaching preparation and lesson planning…

Health tech gadgets displayed at the annual CES trade show make a lot of promises. A smart scale promoted a healthier lifestyle by scanning your feet to track your heart health, and an egg-shaped hormone tracker uses AI to help you figure out the best time to conceive. Tech and health experts, however, question the accuracy of products like these and warn of data privacy issues — especially as the federal government eases up on regulation. The Food and Drug Administration announced during the show in Las Vegas that it will relax regulations on “low-risk” general wellness products such as heart monitors and wheelchairs. It’s the latest step President Donald The President…

​​​​​The Fast Company Impact Council is an invitation-only membership community of leaders, experts, executives, and entrepreneurs who share their insights with our audience. Members pay annual dues for access to peer learning, thought leadership opportunities, events and more. More people will require surgery this year than ever before. ​​​​And next year, that number will rise again. By 2030, more than 313 million surgical procedures will done annually. This is a demand the current healthcare system can’t keep up with. The result will be longer wait times, more complications, and a system stretched far beyond its limits. For decades, surgical innovation has …

In 2025, employers cited artificial intelligence as the rationale for nearly 55,000 layoffs at companies like Amazon and Microsoft. And with the new year barely underway, we’re already seeing a new crop of AI-related job cuts. Citigroup is cutting over a thousand jobs, according to Bloomberg, and in a memo this week, CEO Jane Fraser warned of more layoffs later this year. “Over time, we can expect automation, AI and further process simplification to reshape how work gets done,” she added. Meanwhile, Meta is conducting more layoffs in its virtual reality division, cutting about 1,500 jobs as part of a broader strategic shift to invest further in AI. Given these r…

In theory, AI should have transformed manufacturing by now. From predictive maintenance and fatigue detection to real-time quality control, the promise has always been smarter, faster, and safer operations. But in practice, the factory floor is still a place where AI ambitions often run into real-world limitations. That’s a huge problem, especially because the size and weight of this industry are hard to ignore. U.S. manufacturing alone contributes $2.9 trillion to the economy, accounting for over 10% of total output and supporting nearly 13 million workers, according to the National Association of Manufacturers. Globally, manufacturing represents 16% of world GDP and…

The flap of a butterfly’s wings in South America can famously lead to a tornado in the Caribbean. The so-called butterfly effect—or “sensitive dependence on initial conditions,” as it is more technically known—is of profound relevance for organizations seeking to deploy AI solutions. As systems become more and more interconnected by AI capabilities that sit across and reach into an increasing number of critical functions, the risk of cascade failures—localized glitches that ripple outward into organization-wide disruptions—grows substantially. It is natural to focus AI risk management efforts on individual systems where distinct risks are easy to identify. A senior ex…

The rise of artificial intelligence is transforming every industry, but it also creates enormous demand for digital infrastructure and natural resources. Data centers, the engines of this transformation, consume vast amounts of water and energy. A single hyperscale data center consumes up to 5 million gallons of potable water every day. In Phoenix, 58 centers together demand more than 170 million gallons daily, enough to ​​serve up to several hundred thousand households. This is the internet’s hidden water footprint, amplified by AI, cloud computing, and data-heavy services. Training a single large AI model in a Microsoft data center can require about 185,000 ga…

If you’re in charge of an editorial team, you’re used to objections from the rank and file about using AI. “It gets things wrong.” “I don’t know what it’s doing with my data.” “Chatbots only say what you want to hear.” Those are all valid concerns, and I bring them up often in my introduction to AI classes. Each one opens a discussion about what you can do about them, and it turns out to be quite a bit. AI hallucinations require careful thought about where to apply fact-checking and “human in the loop.” Enterprise tools, APIs, and privacy settings can go a long way to protecting your data. And you can prompt the default sycophancy out of AI by telling it to give you c…

In 2026 (and beyond) the best benchmark for large language models won’t be MMLU or AgentBench or GAIA. It will be trust—something AI will have to rebuild before it can be broadly useful and valuable to both consumers and businesses. Researchers identify several different kinds of AI trust. In people who use chatbots as companions or confidants, they measure a feeling that the AI is benevolent or has integrity. In people who use AI for productivity or business, they measure something called “competence trust,” or the belief that the AI is accurate and doesn’t hallucinate facts. I’ll focus on that second kind. Competence trust can grow or shrink. An AI tool user, qu…

The Fast Company Impact Council is an invitation-only membership community of leaders, experts, executives, and entrepreneurs who share their insights with our audience. Members pay annual dues for access to peer learning, thought leadership opportunities, events and more. Have you ever wanted to break up with your doctor—not because of the practitioner, but because of the difficulty in engaging with their practice? You’re not alone. I’ve left doctors for that reason and McKinsey has found that nearly 25% of consumers have delayed care because they hate everything about the process. System complexity is not doctors’ fault, but making the care experience easier for…