What's on Your Mind?

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…

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 …

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…

It’s almost become cliche for employers to express concern about Gen Z’s lack of training in the social skills necessary for life in the office. Employers want new recruits with a certain level of professionalism—the ability to casually converse with office higher-ups, or negotiate with their own managers—that they just haven’t had the ability to practice, especially after coming of age during pandemic restrictions and widespread remote work, says Tigran Sloyan, CEO of worker assessment and learning platform CodeSignal. “When you’ve just come out of college, you’ve never really worked anywhere, so it’s very hard,” he says. To help fill that gap, CodeSignal on…

AI companies love to make bold claims about healthcare. Alphabet’s Isomorphic tells us that “frontier AI can unlock deeper scientific insights, faster breakthroughs, and life-changing medicines.” Lila confidently markets its AI as a tool for “faster discovery for every field where breakthrough science matters.” And they’re spending as though they believe the hype. Anthropic recently acquired stealth startup Coefficient Bio for $400 million. But there’s only one true test of any healthcare AI: Did it work in humans? Did it create a medicine that saved someone’s life? And bluntly, most companies have not achieved that. Let’s look at the number of treatments brought …

The line between human and machine authorship is blurring, particularly as it’s become increasingly difficult to tell whether something was written by a person or AI. Now, in what may seem like a tipping point, the digital marketing firm Graphite recently published a study showing that more than 50% of articles on the web are being generated by artificial intelligence. As a scholar who explores how AI is built, how people are using it in their everyday lives, and how it’s affecting culture, I’ve thought a lot about what this technology can do and where it falls short. If you’re more likely to read something written by AI than by a human on the internet, is it …

Becoming a chartered financial analyst (CFA)—a certification that requires thousands of hours of professional experience, as well as taking a very rigorous exam; Investopedia calls it “one of the most respected designations in finance”—is no easy feat. That is, until now. Two years ago, AI models could only pass the first two sections of the prestigious, three-part exam. The essay section, however, had it stumped. And yet, in a new study from New York University’s Stern School of Business and GoodFin, an AI-powered wealth management platform, advanced AI like Gemini 2.5 Pro and Claude Opus passed the exam with flying colors. What would’ve taken a human 1,000 hour…

Teaching machines in the way that animal trainers mold the behavior of dogs or horses has been an important method for developing artificial intelligence and one that was recognized Wednesday with the top computer science award. Two pioneers in the field of reinforcement learning, Andrew Barto and Richard Sutton, are the winners of this year’s A.M. Turing Award, the tech world’s equivalent of the Nobel Prize. Research that Barto, 76, and Sutton, 67, began in the late 1970s paved the way for some of the past decade’s AI breakthroughs. At the heart of their work was channeling so-called “hedonistic” machines that could continuously adapt their behavior in response to posi…

When film cameras were invented, people didn’t become filmmakers overnight. We pointed cameras at theater stages, digitizing what already existed. It took us a while to reimagine what film cameras could unlock. The real opportunity wasn’t recording theater plays. It was stepping outside and inventing cinema. That’s where many nonprofits are with AI today. Most still layer it on top of existing processes, not because they don’t care about innovation, but because they lack both the frameworks to identify the right use cases and the capacity to act on them. True innovation starts when organizations have the space, skills, and confidence to reimagine how impact itse…

Ask any C-suite leader if AI is a priority in their organization. The answer is yes. The numbers back it up. Menlo Ventures reports that companies spent $37 billion in 2025 on AI. But spending does not guarantee success, and many companies are now coming out of major rollouts with little to show for it. Adoption is low, productivity hasn’t increased, and ROI is still an idea on a slide because organizations handed AI to their IT team like it was new software to install and called it a rollout. Deploying AI is a workforce strategy that demands behavior change and a new operating model. It’s not a technology rollout. It’s a workforce and culture transformation. …

OpenAI, Meta, and Elon Musk’s xAI are not accidentally drifting into romance and sex. They are deliberately inviting it. In recent months, major AI companies have opened the door to romantic and sexual relationships between humans and machines: flirtatious chatbots, erotic roleplay, AI “girlfriends,” and emotionally dependent companions. These systems are designed not merely to assist or inform, but to bond—to simulate intimacy, desire, and belonging. This is not a novelty feature. It’s a strategic choice. And at scale, it represents something far more dangerous than a questionable product decision. WHY AI COMPANIES ARE ENCOURAGING INTIMACY Romance is the m…

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…

For publishers, one of the observations that’s often cited about AI search is that the people who click through are more intentional than those who come from traditional search. In other words, sure, AI might be nuking your referral traffic, but at least the people coming from there are more likely to engage, and potentially become loyal readers. And that’s true—the stats show it. But it’s an oversimplification of a more interesting reality. It turns out that the audience in AI search isn’t just a blob of traffic that you need to work extra hard to get the attention of. People who ask AI portals for information about something can have wildly different intentions…

Nearly two out of three American adults have used an AI-powered search tool in the past six months. But here’s the stat that should keep every product builder up at night: only 15% say they trust the results “a lot.” That gap between adoption and trust is the defining challenge for the next era of AI search. Consumers are showing up, but they are questioning the results. As product builders, we have to ask ourselves an uncomfortable question: Are we building experiences that earn and deserve consumer trust? The Walled Garden Problem Yelp partnered with Morning Consult to survey more than 2,200 U.S. adults on how they use and perceive AI-powered search. The fin…

Thousands of AI startups are fighting for the VC funding needed to win a slice of the enterprise market. But according to Scott Stevenson, cofounder and CEO of the legal AI startup Spellbook, many are inflating their real revenues to get it. In a viral tweet on April 17, Stevenson called out these fledgling companies for perpetuating a “huge scam” in their metric reporting. It’s time to expose a huge scam in AI startups: Contracted ARR The reason many AI startups are crushing revenue records is because they are using a dishonest metric The biggest funds in the world are supporting this and misleading journalists for PR coverage. The setup:… pic.twitter.com/NQ0qFSn…

As a consultancy owner, I’ve been experimenting heavily with the headline AI applications for the better part of two years now. Our teams have tested it across dozens of products and use cases. Some experiments worked immediately. Others failed at first but succeeded six months later when the models improved. Some we’re still figuring out. The results keep evolving. A lot of leaders are obsessing over AI strategies right now. Detailed roadmaps, implementation plans, and resource allocation. I get it. Leadership wants clarity, stakeholders want commitments, and everyone wants to know the plan. But here’s the issue. Technology is moving way faster than tradition…

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 …