What's on Your Mind?

Immediately, after a keynote speaker I was coaching for a large conference finished her rehearsal I pulled her aside. “How much of your script was written by AI?” I asked. She looked up at me out of the corner of her eye and hesitantly said, “Most of it.” I delicately shared with her that I could hear it. She started several sentences with phrases like: “Here’s the thing,” “The truth is,” and the word “Unlock!” She sounded like a bot and not like a human, and, if I could hear it, I was certain the audience would too. Around the same time, a speechwriter I work with told me her client kept barking orders at her as if she was speaking to her AI assistant. “Delete that.…

As companies ramp up pressure on their workers to embrace AI, a new source of workplace conflict has emerged. A report released this week by background check company Checkr suggests that managers and employees are increasingly at odds over AI use in the workplace. Most employees seem to view AI with skepticism, adopting it largely in response to directives from managers and leadership. For many leaders, however, it has become a business imperative as they scramble to keep up with competitors and assuage shareholder concerns—and managers seem to be absorbing that message. The Checkr report, which surveyed 3,000 workers (half of whom were managers and half of whom were …

Every year, companies and space agencies launch hundreds of rockets into space—and that number is set to grow dramatically with ambitious missions to the Moon, Mars, and beyond. But these dreams hinge on one critical challenge: propulsion—the methods used to push rockets and spacecraft forward. To make interplanetary travel faster, safer, and more efficient, scientists need breakthroughs in propulsion technology. Artificial intelligence is one type of technology that has begun to provide some of these necessary breakthroughs. We’re a team of engineers and graduate students who are studying how AI in general, and a subset of AI called machine learning in particular…

There’s an idea in AI called “liquid content.” It typically refers to the idea of morphing the facts, ideas, and expressions from one medium to another. The most well-known example is a feature within Google’s NotebookLM: Once you’ve filled a folder with various kinds of data, it can whip up a podcast about that data, enlisting a couple of cheery AI-generated voices to give you an overview, analysis, or debate. Taken to its logical extreme, liquid content suggests a future for media companies where what you create is repurposed across any and all formats. Making a podcast? With the right tools and prompting, in mere minutes, it can be reimagined as a series of clips, …

Artificial intelligence is radically changing how healthcare providers tackle vision loss, with tools that can be used from diagnosis to treatment and even follow-up care. One such example is Visilan, which uses smartphone imaging, telemedicine, and AI to screen, diagnose, and monitor patients for vision care. And with this technology, more of the 1 billion-plus patients who live with vision loss can be treated, Jordan Shuff, executive director and founder of Visilan, said at last month’s World Changing Ideas Summit, cohosted by Fast Company and Johns Hopkins University in Washington, D.C. But in this race to expand care, it’s also important to have guardrail…

Not long ago, I was speaking at an event when a recent college graduate approached me. He’d studied neuroscience and, like a lot of STEM generalists, had set his sights on consulting—firms, like Deloitte or Accenture, that have long hired armies of junior associates for data gathering and analysis. He’d earned top grades at a great school. But all of his outreach—his informational interviews, his applications and follow-ups—had come to nothing. His story is not unusual. If entry-level consulting or finance jobs have always been difficult to land, they’re even harder to get now. This generation grew up believing that developing key skills such as coding and data analys…

Egyptian coder Assem Sabry has long wanted an AI model that represents his culture. The problem is he hasn’t been able to find one. “The AI industry in Egypt . . . doesn’t exist,” Sabry says. So he built his own: Horus, named after the ancient Egyptian god of the sky. Sabry says the goal was to stop “relying on other models, like the American or Chinese models,” and instead ask what a more Egyptian-focused model might look like. To make Horus work, he trained it using GPUs from Google Colab and other cloud providers, alongside open-source datasets. The model, released in early April, drew more than 800 downloads in its first week on Hugging Face. Sabry is one of a…

Debate about whether artificial intelligence can replicate the intellectual labor of doctors, lawyers, or PhDs forgoes a deeper concern that’s looming: Entire companies—not just individual jobs—may be rendered obsolete by the accelerating pace of AI adoption. Reports suggesting OpenAI will charge $20,000 per month for agents trained at a PhD level spun up the ongoing debate about whose job is safe from AI and whose job is not. “I’ve not seen it be that impressive yet, but it’s likely not far off,” James Villarrubia, head of digital innovation and AI at NASA CAS, told me. Sean McGregor, the founder of Responsible AI Collaborative who earned a PhD in computer sc…

An increasing number of companies are finding the much-promised financial gains of implementing artificial intelligence in the workplace have been slow to materialize. But that isn’t stopping many CEOs from spending even more on AI in the coming year. A new study from advisory firm Teneo finds that 68% of CEOs will increase their AI spending next year. A growing number, however, are aware that they need to start showing returns on that investment—and an important part of their job is convincing shareholders to remain patient. “As efforts shift from hype to execution, businesses are under pressure to show ROI from rising AI spend,” the company wrote. “Large-cap CEO…

As I said in previous articles, executives like to say they’re “integrating AI.” But most still treat artificial intelligence as a feature, not a foundation. They bolt it onto existing systems without realizing that each automation hides a layer of invisible human work, and a growing set of unseen risks. AI may be transforming productivity, but it’s also changing the very nature of labor, accountability, and even trust inside organizations. The future of work won’t just be about humans and machines collaborating: It will be about managing the invisible partnerships that emerge when machines start working alongside us . . . and sometimes, behind our backs. The ill…

Nearly every company I work with is focused on using AI to drive productivity and efficiency. They are starting to see real gains, and that’s leading to excitement about AI’s future potential. However, AI used to drive efficiency is only the starting line, and there’s real risk if we stop there. In my work with Fortune 500 leaders across the C-suite, from chief HR officers (CHROs) to CTOs and CMOs, I’ve seen that the very best organizations recognize a bigger opportunity: using AI to help managers build connection and trust with their teams. The companies that are able to leverage AI both to drive efficiency gains and to build highly motivated teams will be the ones that …

For nearly four years now, the conversation about generative AI has revolved almost exclusively around productivity, threatened jobs, automatable tasks, efficiency, and competitiveness. But there is a largely underestimated dimension to this revolution: its cultural effects. AI is not just transforming how we work; it is transforming how we are together, how we trust each other, how we communicate, and how we organize ourselves. To measure this, it helps to borrow a framework from Erin Meyer, a professor at INSEAD whose book The Culture Map identifies eight dimensions along which the cultures of the world differ. Applied to artificial intelligence, Meyer’s eight dimen…

AI isn’t eliminating human work. It’s redistributing human judgment, away from routine tasks and into the narrow zones where ambiguity is high, mistakes are costly, and trust actually matters. This shift helps explain a growing disconnect in the AI conversation. On one hand, models are improving at breathtaking speed. On the other, many ambitious AI deployments stall, scale more slowly than expected, or quietly revert to hybrid workflows. The issue isn’t capability. It’s trust. The trust gap most AI strategies overlook AI adoption doesn’t hinge on whether a system can do a task. It hinges on whether humans are willing to rely on its output without checking …

For decades now, we have been told that artificial intelligence systems will soon replace human workers. Sixty years ago, for example, Herbert Simon, who received a Nobel Prize in economics and a Turing Award in computing, predicted that “machines will be capable, within 20 years, of doing any work a man can do.” More recently, we have Daniel Susskind’s 2020 award-winning book with the title that says it all: A World Without Work. Are these bleak predictions finally coming true? ChatGPT turns 3 years old this month, and many think large language models will finally deliver on the promise of AI replacing human workers. LLMs can be used to write emails and reports, summ…

When I was Chief of Staff at CoinDesk, I was in charge of the publication’s approach to AI. One of the earliest debates our internal AI committee had was about whether we should allow AI to index our articles or not. Most of the people on the committee thought we should block AI crawlers. While the fury of media copyright lawsuits had yet to begin, the issue had gotten some traction, and it was easy to make the case that we shouldn’t give our content away to AI companies to summarize unless we were compensated in some way. But one person boldly made the case for the other side: He argued that, if AI becomes the new way people find information, shutting ourselves o…

In 2014, Stephen Hawking voiced grave warnings about the threats of artificial intelligence. His concerns were not based on any anticipated evil intent, though. Instead, it was from the idea of AI achieving “singularity.” This refers to the point when AI surpasses human intelligence and achieves the capacity to evolve beyond its original programming, making it uncontrollable. As Hawking theorized, “a super intelligent AI will be extremely good at accomplishing its goals, and if those goals aren’t aligned with ours, we’re in trouble.” With rapid advances toward artificial general intelligence over the past few years, industry leaders and scientists have express…

For some evangelical Christians, faith is about having a personal relationship with Jesus. At $1.99 per minute, the tech company Just Like Me is taking that concept to a new level. Users of the platform can join video calls with an avatar of Jesus generated by artificial intelligence. Like other religious AI tools on the market, it offers words of prayer and encouragement in various languages. With the occasional glitch, it remembers previous conversations and speaks through not-quite-synced lips. “You do feel a little accountable to the AI,” CEO Chris Breed said. “They’re your friend. You’ve made an attachment.” The rush to create faith-based generative AI is…

Fake accounts have been around as long as social media. So when it was recently revealed that a “hot girl” MAGA personality named Emily Hart was actually a 22-year-old male medical student in India, it might have seemed a little mundane. Just another catfisher, another sock puppet, another scammer—the internet is full of them. Except this one had photos. And videos. And thousands of followers across multiple networks with some posts getting millions of views. Emily Hart was a full-on influencer, not just some anonymous egg. The person who created Emily confessed to Wired that while the account was active, he was making thousands of dollars every month from posting sof…

In April 2025, Lucy Guo became the youngest female self-made billionaire after Meta paid $14.3 billion for a 49% stake in Scale AI, the company she cofounded with Alexandr Wang in 2016. Though Guo had left the company—which builds infrastructure and software to create AI applications—over disagreements with Wang in 2018, she retained her 5% stake in the business, which skyrocketed in value after Meta’s investment. In 2022 she reemerged with Passes, a platform that helps creators monetize their social media followings by selling access to exclusive offerings—from products and merch to pay-by-the-minute private phone calls. As of February, the company has raised a …

Recently, one of us was guest-teaching a humanities class on artificial intelligence. He asked students a simple question. Had they noticed themselves becoming more “attached” to their favorite chatbot? “For example,” he asked, “do you find yourself saying ‘please’ and ‘thank you’ to the chatbot more than you used to?” Nearly every head nodded. “Why?” he asked. One student raised her hand. “So if AI does take over,” she said, “it’ll remember that I was nice to it.” The class laughed—but not entirely. The fear and hype around AI When we see public conversations about AI, they tend to swing wildly between hype and catastrophe. On one end, we see promises …

I work in front of a screen. And I’ve been thinking about how AI will change my work. What does it even mean for my future? It’s completely normal to wonder about this. Most people are convinced artificial intelligence is a threat to their careers. But what they are forgetting is the human value they bring to their work. Aaron Levie, CEO of the enterprise cloud company Box, recently pointed out that when people watch AI at work, they are most likely seeing it take over the first 80% of a task—the heavy lifting of repetitive processing. The last 20% is where you come in. Your domain expertise, judgment, and relationships. That is what makes you irreplaceable. AI can fi…

For years, leaders advanced by outperforming others, knowing more, producing more, delivering more. Performance earned authority. That equation has changed. Artificial intelligence now generates ideas, analyses, and strategies in seconds. What once set strong performers apart, speed, output, and insight, is no longer a differentiator. As AI expands what leaders can produce, something else is becoming clear. The leaders who stand out are not the ones with the most information. They are the ones who project confidence, clarity, and credibility when it matters most. Leaders are no longer evaluated primarily on what they know. They are evaluated on how they lead w…

As businesses race to become AI-ready, job seekers are racing just as quickly to keep up. New data shows that candidates are getting the message: AI skills are showing up more often on resumes. But this change is exposing a deeper disconnect: the labor market increasingly rewards AI fluency, while the education system often discourages it. According to a new report from Monster.com, the number of resumes that mention AI skills has surged in just two years, going from 3.7% in 2023 to 12.8% last year. Per the report, the most notable increase was from 2024 to 2025 when the number of mentions ticked up by 7.6 points. The previous year, it only accelerated by 1.5 poin…

In the movie The Perfect Storm, three large weather events converge, creating a storm bigger than the sum of its parts. As overused as the metaphor might be, it’s a good one for what’s happening to leaders globally right now. This storm involves the widespread integration of mainstream AI tools like ChatGPT, Gemini, and Claude into organizational workflows, and three large, interacting, non-obvious effects of this trend on leaders at all levels. Unchecked, research suggests, artificial intelligence could bring a toxic force to bear on how leaders build and reinforce their cultures. Trend one: Leaders are already overwhelmed and thinking poorly The first trend i…