What's on Your Mind?

Below, coauthors Melissa Valentine and Michael Bernstein share five key insights from their new book, Flash Teams: Leading the Future of AI-Enhanced, On-Demand Work. Melissa is an associate professor of management science at Stanford University, where she codirects the Center for Work, Technology, and Organization. Michael is an associate professor of computer science at Stanford, where he is a Bass University Fellow. Both have had their work featured in major publications, including The New York Times and Wired. What’s the big idea? Have you ever wished that you could assemble your version of the Avengers at work? That’s basically what it means to build a Flas…

No one wants to be in a bad movie—but imagine a movie studio casting you in new movies after you die, without your consent. That may have once seemed something out of a Black Mirror episode, but it’s becoming a real issue, and many think current legal protections don’t go nearly far enough. In 2024, the late Ian Holm appeared, in digital form, in Alien: Romulus four years after his death, a move some critics decried as “digital necromancy.” Early this year, producers partnered with a British artificial intelligence startup to re-create the voice of Alain Dorval, who spent decades dubbing Sylvester Stallone classics like Rocky and Rambo in French. The plan was scrapped…

AI is transforming how teams work. But it’s not just the tools that matter. It’s what happens to thinking when those tools do the heavy lifting, and whether managers notice before the gap widens. Across industries, there’s a common pattern. AI-supported work looks polished. The reports are clean. The analyses are structured. But when someone asks the team to defend a decision, not summarize one, the room goes quiet. The output is there, but the reasoning isn’t owned. For David, the COO of a midsize financial services firm, the problem surfaced during quarterly planning. Multiple teams presented the same compelling statistic about regulatory timelines, one that tur…

If you’ve been paying attention to AI at all lately, you’ve certainly seen the “Something Big Is Happening” essay by Matt Shumer, or at least some of the reaction to it. In it, Shumer describes how coding, for him, has completely transitioned from manually writing code to simply prompting and approving the near-flawless work done by AI. The piece was meant as a warning to all knowledge workers, essentially saying: AI has taken over my job, and it’s coming for yours next. There have been countless thought pieces on the merits and flaws of Shumer’s argument, and I have no intention of adding to the pile. But journalism is knowledge work, too, and the field had its own, …

Tech giants are making grand promises for the AI age. The technology, we are told, might discover a new generation of medical interventions, and possibly answer some of the most difficult questions facing physics and mathematics. Large language models could soon rival human intellectual abilities, they claim, and artificial superintelligence might even best us. This is exciting, but also scary, they say, since the rise of AGI, or artificial general intelligence, could pose an uncontrollable threat to the human species. U.S. government officials working with AI, including those charged with both implementing and regulating the tech in the government, are taking a diff…

There’s a cat-and-mouse game between those using generative AI chatbots to produce text undetected and those trying to catch them. Many believe they know the telltale signs—though as a journalist fond of the word “delve” and prone to em-dashes, I’m not so sure. Researchers at four U.S. universities, however, have taken a more rigorous approach, identifying linguistic fingerprints that reveal which large language model (LLM) produced a given text. “All these chatbots are coming out every day, and we interact with them, but we don’t really understand the differences between them,” says Mingjie Sun, a researcher at Carnegie Mellon University and lead author of the st…

If there’s an AI application in media that has had a rough road, it’s the chatbot. With the runaway success of ChatGPT, the whole idea that chat might be the next big thing in audience experiences took on new value, and several publications dove in, offering portals or widgets that enable readers to explore their content in a new way. I think it’s fair to say none of these have been home runs, but some are more promising than others. Chatbots from Skift, USA Today, and The Texas Tribune have all seen some quiet success in user engagement, and while “chat” likely won’t save the media industry, it may well play an important role. Beyond the wins of improving site search…

Today, investors are waking up to red on their screens as many tech and AI stocks are dropping in premarket trading. But why are shares in these companies falling? Much of it has to do with the cloud infrastructure company Oracle (NYSE: ORCL) and its latest quarterly earnings results. Here’s what you need to know. Oracle’s Q2 2026 results send ORCL plunging Yesterday, Oracle reported financial results for its second quarter of fiscal 2026. To say investors were disappointed in the results is an understatement, given how poorly ORCL shares are performing in premarket trading this morning. As of the time of this writing, ORCL shares are down over 12% as inve…

AI coaches are everywhere. They’re training marathoners and coaching leaders, and even billionaires Ray Dalio created an AI clone to serve as a digital mentor. In the past few months, searches for “AI coaching” have gone through the roof. And it’s easy to see why. AI coaches are available 24/7, cost less than a gym membership, and can recall every word you’ve ever said. Research even shows they can match human coaches in helping people reach their goals. Ironically, people often tell AI things they’d never tell another person. Studies show chatbots reduce our fear of judgment, making them surprisingly effective at uncovering what’s really going on. And with 94% of…

For years, AI companies gave users unfettered access to the candy store, encouraging them to think of tokens, the chunks of text AI reads and writes, as effectively infinite. Tokens were bundled into subscriptions, hidden behind generous caps, or priced low enough that people stopped counting them. But as the cost of serving models eats into revenue, and as chip shortages, helium disruption, and data center bottlenecks constrain how much compute can come online, the big model makers are starting to ration access more aggressively. All-you-can-eat AI is disappearing. Now companies are in a contest to see who can keep subsidising demand the longest, and whether the last…

Loneliness is no longer just an emotion—it’s a growing public health crisis in the U.S. A 2024 Harvard study found that 21% of U.S. adults regularly experience loneliness, while the American Psychological Association reports that nearly half of young workers feel isolated at work. Capitalizing on the recent tech boom, AI-powered digital companions and digital twin avatars are rapidly emerging as alternatives to human relationships. These AI bots offer a constant sense of connection without judgment and can be hyper-personalized to match user preferences. Platforms including Oh, Replika (whose tagline is “the AI companion who cares”), and Eden AI chat by EVA AI lea…

Black Friday isn’t what it used to be. Less than 15 years ago, it was fairly common for people to wake up at ridiculously early hours to drive to a store, where they would stand in line, waiting for the doors to open in order to grab the best deals. Those people still exist, but not in the numbers they used to, thanks to the convenience of online shopping (and the early start to holiday deals). But as artificial intelligence becomes more entrenched, it could play an outsized role in Black Friday (and Cyber Monday)—and 2025 could be something of a test case for the technology. The average consumer is expected to spend $1,595 on holiday gifts this year, according to…

When ChatGPT burst onto the scene, much of academia reacted not with curiosity but with fear. Not fear of what artificial intelligence might enable students to learn, but fear of losing control over how learning has traditionally been policed. Almost immediately, professors declared generative AI “poison,” warned that it would destroy critical thinking, and demanded outright bans across campuses, a reaction widely documented by Inside Higher Ed. Others rushed to revive oral exams and handwritten assessments, as if rewinding the clock might make the problem disappear. This was never really about pedagogy. It was about authority. The integrity narrative masks a …

The robots won’t be replacing us, but we will increasingly be working side-by-side with artificial intelligence tools that can then learn from our human expertise. That’s one conclusion of researchers and engineers who are applying AI to the physical world in transformative ways, from autonomous vehicles to microscopes for detecting malaria to the design of wholly new materials. And there’s a balance to be struck between automation and human expertise, according to K.T. Ramesh, the Alonzo G. Decker Jr. professor of science of and engineering at Johns Hopkins University and a senior advisor to the university’s president for AI. “We can develop autonomous resea…

Every time you ask ChatGPT to draft an email, or prompt an AI assistant to help you decide which refrigerator to buy—somewhere, a data center hums to life to make it happen. These facilities, which can span the size of a small city, are the unglamorous physical infrastructure behind the AI revolution. They’re cavernous buildings packed with servers, cooled by industrial systems, drawing power at a scale that strains local electrical grids. What almost no one talks about is the human beings building them. To construct a single data center, developers source millions of tons of concrete, steel, copper, lithium, and critical metals from supply chains that stretch across …

As marketing leaders, we don’t wake up thinking about algorithms. We wake up thinking about growth. For CMOs, the job has always been the same: drive real business impact, improve ROI, and prove—repeatedly—that marketing is a growth engine, not a cost center. Long before generative AI entered the conversation, marketing leaders were under pressure to connect activity to revenue, align tightly with sales, and make performance visible. The pressure to quantify value didn’t start with AI. It started when the business demanded proof. What has changed is the speed and precision with which we can now deliver that proof. AI ISN’T REINVENTING MARKETING. IT’S REWIRING …

A few months ago, I walked into the office of one of our customers, a publicly traded vertical software company with tens of thousands of small business customers. I expected to meet a traditional support team with rows of agents on the phones, sitting at computers triaging tickets. Instead, it looked more like a control room. There were specialists monitoring dashboards, tuning AI behavior, debugging API failures, and iterating on knowledge workflows. One team member who had started their career handling customer questions over chat and email (resetting passwords, explaining features, troubleshooting one-off issues, and escalating bugs) was now writing Python scripts…

Layoffs rose sharply in March, and a quarter of these job losses were due to AI. Job cuts rose about 25% in March reaching 60,620 up from 48,307 cuts the month before. The new data comes from outplacement and executive coaching firm Challenger, Gray & Christmas, who released the report on Thursday. While cuts could be seen across industries, more than 52,000 tech jobs have been cut so far this year with 18,720 happening last month. Reductions took place at major technology companies like Meta, Oracle, Block, and more. However, the report explained that the number was driven up significantly by the workforce reduction at Dell Technologies (DELL), making the t…

Daniel Kokotajlo predicted the end of the world would happen in April 2027. In “AI 2027” — a document outlining the impending impacts of AI, published in April 2025 — the former OpenAI employee and several peers announced that by April 2027, unchecked AI development would lead to superintelligence and consequently destroy humanity. The authors, however are going back on their predictions. Now, Kokotajlo forecasts superintelligence will land in 2034, but he doesn’t know if and when AI will destroy humanity. In “AI 2027,” Kokotajlo argued that superintelligence will emerge through “fully autonomous coding,” enabling AI systems to drive their own development. The r…

When David Mesfin was producing his documentary on Black surfing culture, Wade in the Water, back in 2023, he had a problem. Like millions of other people since ChatGPT and other GenAI tools emerged in late 2022, Mesfin was experimenting and using these tools to generate imagery for the film. “But the results were always the same: white surfers with darkened skin,” says Mesfin, a creative director at ad agency Innocean. “It was a clear sign that these systems weren’t built with us in mind. That moment made it impossible to ignore how deeply bias is embedded in the technology.” This week, sparked by that moment, Mesfin and his colleagues have launched “Breaking B…