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Believing that digital transformation is about changing technology is like thinking firefighting is about riding in a fire truck. Firefighting is about putting out fires to save lives and property. Digital transformation is about changing how your organization functions and creates value using data, systems, skills, and processes. That might mean building dashboards that give executives real-time visibility across thousands of staff, training hundreds in new ways of working like Agile or DevOps, or automating back-office processes to free up time for higher-value work. The common thread is that technology becomes a catalyst for organisational change in strategy, peopl…

The next frontier of consumer tech isn’t just about adding more screens to your life or boosting your devices’ processing power. Instead, it’s empowering users to accomplish more, from powerful new maker tools to more efficient skincare solutions. On the home front, assistive robots are suddenly in reach, and AI cameras are learning to provide better pet care instead of just surveilling humans. Of course, there’s cool screen-related stuff too, including wildly thin foldable phones and increasingly immersive AR glasses. Anker For 3D printing onto pretty much anything Printing 3D textures onto materials such as wood and metal usually requires industrial-grade tools, but A…

Pricing is one of the most powerful growth levers a business has, yet it is still one of the most overlooked. While teams spend months refining product and brand, pricing decisions are too often rushed, emotionally charged, or guided by instinct rather than insight. Under the pressure of rising costs and competitive pressures, many leadership teams resort to the fastest fix: promotions to meet short-term targets or price increases to plug a margin leak. The companies that consistently outperform take a different approach. They treat pricing as a strategic, evidence-led discipline. They ground pricing in how customers perceive value and make decisions to deliver gr…

We used to argue whether design was about aesthetics or about functionality. But in 2025, those conversations seemed downright quaint. Simpler debates for a simpler time. Now we’re wondering if craft can survive the age of AI, and if we’ll ever escape the politicization of every brand and object again. For the December episode of our podcast By Design, I discussed these trends and more with Fast Company senior editor Liz Stinson. We were joined by some of our brightest friends in the industry who shared their biggest own moments in design for the year, including Paola Antonelli (senior curator at MoMA), Cliff Kuang (FC Design’s first editor and senior staff d…

When you open Microsoft Excel to review quarterly results or check Waze to optimize your route to the office, you’re tapping into technologies born not in corporate boardrooms, but in university labs. Thinking of innovation, our minds often jump to the titans of tech: Jobs, Musk, Altman, Gates, Bezos. But behind everyday tech innovations and healthcare breakthroughs are academic researchers whose work catalyzed billion-dollar industries. The unsung heroes of the lab and lecture hall have laid the groundwork for some of the most transformative technologies of our time. A few make celebrity status as Nobel prize winners, but the glory of most academics is poorly underst…

We are living through a fundamental shift in what work is for. As AI takes on more routine cognitive tasks, the uniquely human capacity to imagine, connect, and create meaning becomes the primary source of organizational value. Yet most companies are still measuring performance metrics prioritized for a different era: inventory turnover, cost per lead, and utilization rates. These metrics were designed to optimize extraction. They are poorly equipped to cultivate imagination. The organizations that will win in the Imagination Era are those that build new measurement systems to match their new ambitions. Not because metrics are magic, but because what a company ch…

We live in an era of rapid technological change, where the rise of AI presents both opportunities and risks. While AI can drive efficiency and innovation, it also increases the temptation for leaders to prioritize short-term gains—automating decisions for immediate profit, optimizing for productivity at the cost of employee well-being, and sidelining long-term sustainability. Organizations that focus solely on AI-driven efficiency risk creating burnt out workforces, extractive systems, and fragile organizations that cannot withstand economic, social, or environmental disruptions. To build resilient organizations that can weather the future, leaders must embrace regene…

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. Data is everywhere, but insights are rare. I know this firsthand from years working agency-side in digital marketing and analytics for global brands—optimizing billions in media spend, tracking behaviors across platforms, and measuring every available data point across the customer journey. We operated inside complex martech platforms, developed and owned by big tech companies, designed …

Every industry eventually reaches its productivity era. Manufacturing had automation. Finance had algorithmic trading. Today, real estate is stepping into its own transformation: the age of intelligent decision making. I’ve seen firsthand how investors are reimagining their operations. For decades, property investment was managed with clipboards, paper checks, and late-night phone calls. It left investors buried in minutiae. Now, just as modern supply chains run on smart logistics, real estate is running on smart systems that streamline everything from payments to tenant communications. The result? A shift away from chasing down tasks and toward making wise, fu…

We’re only two months in, but 2026 is already shaping up to be the year of agents. The current surge began with Claude Code, which achieved critical mass over the holidays. That led to all kinds of lobster-themed software names (long story), which culminated in OpenClaw, an open-source agent creation and management system. It might also be a stealth marketing campaign for Apple to sell a ton of Mac Minis, but that’s neither here nor there. It’s too early to say what kind of productivity gains the current wave of agents will create, but the push to agents is undeniable. It’s also very exclusive. For all the talk of, “the only coding language you need to know is English…

In the world of earnings reports and pitch decks, the ultimate goal of our current AI boom is usually called something like artificial general intelligence (AGI), superintelligence, or—if you’re really nerdy—recursive self-improving AI. But in the real world, we’re all just looking for the Enterprise computer: a digital assistant you can talk to that doesn’t just fully understand you, but can do things for you instantly. The last couple of months have seen a lot of progress on this front. While I was at CES, I attended Lenovo’s keynote, which unveiled Qira, an always-on AI that will be built into its devices going forward. As I wrote about at The Media Copilot, the in…

Every technological revolution has its awkward adolescence. We’re living through AI’s right now. Recent research from Stanford and BetterUp has given this moment a name: “workslop.” It’s the flood of hastily AI-generated content that clogs inboxes, clutters presentations, and quietly erodes productivity. The email that reads like it was written by a committee of robots. The strategy document with oddly formal phrasing and zero original insight. The presentation deck that says nothing new. If this sounds familiar, you’re not imagining it. And if you’re a manager watching your team’s output simultaneously increase in volume and decrease in quality, you’re not alone. …

We are facing our generation’s digital divide: the AI Acumen Gap. According to our latest Brand Expectations Index, trust in AI is not a baseline; it’s a spectrum defined by professional proximity and generational sentiment. On one side, you have knowledge workers and younger generations who use these tools daily and largely trust the trajectory of big tech and AI startups. Within the general population and older generations, however, only a small fraction trusts AI companies, while nearly half view the technology as a harbinger of a more dangerous future. This divide creates a communication paradox. If you speak to everyone, you resonate with no one. To survive this …

Artificial intelligence and diversity, equity, and inclusion (DEI) are rapidly becoming two of the most challenging and consequential communication arenas for modern companies. According to Mission North’s 2025 Brand Expectations Index (BEx), public sentiment is evolving in ways that require corporate leaders to rethink how they communicate about these issues, balancing transparency with strategic messaging to maintain trust and relevance. We conducted BEx 2025 in November 2024, surveying 1,000 members of the general population adults and 500 knowledge workers. The goal was to provide practical and positive guidance for how executives such as CEOs, CCOs, and CMOs can …

For all the industries that are facing existential crises from the emergence of artificial intelligence, one is seeing a happily profitable outcome. Architects are increasingly being commissioned to design the brick-and-mortar infrastructure supporting the AI boom. These data centers—big warehouse-like buildings stuffed with whirring servers sucking up hundreds of megawatts of power—are becoming a major, and majorly lucrative, part of the architecture industry’s bottom line. “We’ve got about 200 people working strictly on data center projects,” says Joy Hughes, a design manager at the architecture and design firm Gensler. It’s a subset of the architecture business tha…

Earlier this week, I had AI handle all of my grocery shopping. Using Perplexity’s Comet browser, I provided a link to my shopping list on Google Keep, then asked it to put everything in my cart for a Kroger pick-up order, making sure to select previous purchase items when multiple options are available. Within a few minutes, Comet had picked out all the correct items—including the taco shells and fake meat we usually get for taco night—and plopped me onto the check-out page. This kind of scenario explains why so many AI companies are now trying to build their own browsers. Perplexity’s Comet and The Browser Company’s Dia both became widely available without an…

If you listen to the brightest minds in tech right now, you might think human disease is just a software bug waiting for a patch. ​At the 2025 World Economic Forum in Davos, Anthropic CEO Dario Amodei—drawing on his background in biophysics—predicted that AI could condense a century of biological progress into a single decade, potentially doubling human lifespans. Demis Hassabis, the Nobel laureate behind Google DeepMind, recently floated a similarly audacious timeline, suggesting that AI could help eliminate all diseases within 10 years. Hassabis aims to shrink the decade-long drug design process down to mere months. ​I’ve spent my career straddling the mathemati…

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. AI is no longer a side project. It now sits at the heart of how companies grow, compete, and make decisions. Yet many leaders still struggle to separate hype from value and wonder how to invest wisely without wasting time or resources. A key challenge lies at the top: a lack of AI literacy among executive teams. Research covering nearly 7,000 executives across 645 firms shows a clear patter…

The day John Lennon was shot, on Dec. 8, 1980, he and Yoko Ono gave an interview to a San Francisco radio crew from their home in New York’s Dakota Apartments. They were promoting their new album “Double Fantasy,” but the two-hour conversation was wide ranging. Though the interviewers had been warned “no Beatles questions,” Lennon and Ono were thrillingly open. That day, Annie Leibovitz also shot the famous portrait of a clothes-less Lennon wrapped around Ono. The interview is similarly naked. The two, particularly Lennon, riff on love, their relationship, creativity, life after the Beatles, raising their toddler son, writing songs in bed and much more. At the age of 40…

The AI industry has a quiet addiction problem: It is addicted to tokens. Every new generation of agentic AI seems to assume that the answer to complexity is to throw more context at the model, keep longer histories, spawn more calls, loop over more tools, and let the token meter run wild. The rise of agentic systems, and now projects like OpenClaw, makes that temptation even stronger. Once you give models more autonomy, they do not just consume tokens to answer questions. They consume them to plan, reflect, retry, summarize, call tools, inspect outputs, and keep themselves on track. OpenClaw itself describes the product as an “agent-native” gateway with sessions…

Welcome to AI Decoded, Fast Company’s weekly newsletter that breaks down the most important news in the world of AI. You can sign up to receive this newsletter every week via email here. Are the biggest AI labs betting on the wrong horse? Big AI companies are betting nearly all of their R&D and capital expenditure on the idea that pre-trained transformer models can deliver AI with human-level general intelligence. This approach relies heavily on backpropagation, the standard algorithm used to train deep neural networks. Ben Goertzel, who coined the term “AGI” with his 2005 book Artificial General Intelligence (co-written with DeepMind founder Shane Legg), i…

Artificial intelligence is the most exhaustively covered technology since the dawn of the internet. As any tech editor will tell you, it can be challenging to find stories about AI that are not merely new but big. So when our editorial director, Jill Bernstein, forwarded me a pitch from journalist John Pavlus, who wanted to write about a “mad scientist” attempting to “stomp out hallucinations and other gen-AI nonsense from Amazon’s cloud security/ chatbots/robots/agents,” I said yes in seconds. (He actually used a more pungent term than “nonsense,” but for decorum’s sake, I’m keeping that to myself.) And then I braced myself. The pitch promised to explain t…

Fast Company’s global tech editor Harry McCracken and tech writer Jared Newman cut through the AI hype to walk you through the tools and techniques that are making a difference in the way they work. In this conversation, they break down the trends behind 2026’s most forward-thinking organizations and share the practical, steal‑worthy strategies that leaders at all levels can apply right now. Whether you’re refining your road map or scanning the horizon for what’s next, their overview will provide you with actionable insights and valuable new perspectives. View the full article

AI doesn’t float in the cloud. It runs on concrete, steel, and electricity in massive physical infrastructure. It is powered by local electricity grids and located in cities across the country. Residents who live and work nearby have a direct stake in how and where that infrastructure is built. That makes community consent the deciding factor in the AI race. Technology alone won’t determine the outcome—trust will. Companies that scale fastest will treat sustainable engineering and trust-building as a core business strategy. The AI race won’t be won in the cloud. It will be won at the fence line. As an official partner of UNESCO’s World Engineering Day for Su…

If you’re planning on buying a PC, laptop, or cell phone in the coming months, a word of advice for you before Christmas: Buy now, not later. Prices are likely set to spike in the new year—due to a shortage of memory chips. Memory and storage for DRAM and NAND, two major types of computer memory, have seen costs rise between 30 and 40%, year-on-year—in some cases, they’re even doubling. This impacts the bill of materials (BOMs), or the cost of individual items to make, PCs, and especially low-end smartphones, where margins are thin and the proportional cost increase is more severe. The sudden spike in memory prices is part of a decades-long pattern of semiconducto…