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What's on Your Mind?

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  1. In a perfect world, my job wouldn’t exist. I’m a consumer privacy advocate, which means I spend my days fighting for something that should be automatic: your right to control and protect your own personal information. Unfortunately, we dropped the ball. In the era of social media and hyper-targeted ads, we didn’t build the right privacy infrastructure to protect ourselves. Instead, we let tech companies sell us the story that knowledge is power and data is the price. Yes, knowledge is power. But data—a dry, emotionless word for who and what we are as humans—should be our super power. It should be ours to control and use to improve our lives, not just something co…

  2. AI is becoming a big part of online commerce. Referral traffic to retailers on Black Friday from AI chatbots and search engines jumped 800% over the same period last year, according to Adobe, meaning a lot more people are now using AI to help them with buying decisions. But where does that leave review sites who, in years past, would have been the guide for many of those purchases? If there’s a category of media that’s most spooked by AI, it’s publishers who specialize in product recommendations, which have traditionally been reliant on search traffic. The nature of the content means it’s often purely informational, with most articles being designed to answer a questi…

  3. The European Union’s law enforcement agency cautioned Tuesday that artificial intelligence is turbocharging organized crime that is eroding the foundations of societies across the 27-nation bloc as it becomes intertwined with state-sponsored destabilization campaigns. The grim warning came at the launch of the latest edition of a report on organized crime published every four years by Europol that is compiled using data from police across the EU and will help shape law enforcement policy in the bloc in coming years. “Cybercrime is evolving into a digital arms race targeting governments, businesses and individuals. AI-driven attacks are becoming more precise and de…

  4. Like many people, I use AI for quick, practical tasks. But two recent interactions made me pay closer attention to how easily these systems slip into emotional validation. In both cases, the model praised, affirmed, and echoed back feelings that weren’t actually there. I uploaded photos of my living room for holiday decorating tips, including a close-up of the ceramic stockings my late mother hand painted. The model praised the stockings and thanked me for sharing something “so meaningful,” as if it understood the weight of them. A few days later, something similar happened at work. I finished a long run, came home with an idea, and dropped it into ChatGPT to pres…

  5. As AI takes on a greater role in our media ecosystem, many journalists look at it like a farmer sees an invasive species: as a force that threatens to slowly choke, kill, and replace their work, potentially threatening their livelihood. There’s good reason for this: For reporters and editors, AI represents an assault on multiple fronts. Not only can large language models (LLMs) take over many tasks within journalistic work—research, writing, editing—AI systems also threaten to substitute media publications entirely. The more readers get their information from AI, the less reason they have to engage with publishers or journalists directly. Ask a journalist how it…

  6. SpaceX owns 98% of global rocket launches, a monopoly with virtually no competition. Only China is competing with Elon Musk at this point in number of launches and, while the country is getting closer to mass-producing reusable rockets, it appears far from making that happen. The world needs to scramble. We can’t let a single company dominate the future of humanity—and much less one that is owned by Musk. “If you copy SpaceX, it’ll take you 10 years to get where they are today,” Lin Kayser, cofounder of Dubai-based engineering AI firm Leap 71, tells me in a video interview. “But in 10 years, SpaceX won’t be where they are today. The game will be over.” Startups and na…

  7. For a while now, we’ve been hearing warnings about AI eliminating jobs. First, it was only at the fringes. But now it’s starting to bite into roles once thought untouchable. It isn’t just administrative work, copywriting, or design anymore; even advisory roles, data analytics, and coding are being reshaped by automation. But history teaches us that technological disruption doesn’t eliminate work, it reshapes it. The industrial revolution, for example, didn’t end human contribution, it simply redefined the places where humans bring the most value. AI is doing the same thing today. While it does, in fact, take (or reduce the need for) some jobs, it can, and will, p…

  8. As autonomous AI agents increasingly browse, compare prices, and complete purchases on behalf of consumers, one challenge is becoming unavoidable for merchants: trust. On Wednesday, Akamai Technologies announced a strategic collaboration with Visa aimed at addressing that problem. The partnership integrates Visa’s Trusted Agent Protocol with Akamai’s behavioral intelligence, allowing merchants to authenticate AI agents, link them to real consumers, and block malicious bot traffic before it ever reaches sensitive systems. The move comes as agent-driven traffic floods the internet. According to Akamai’s 2025 Digital Fraud and Abuse Report, AI-powered bot traffic sur…

  9. 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…

  10. 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…

  11. 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…

  12. 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…

  13. 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…

  14. 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 …

  15. 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…

  16. 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…

  17. 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…

  18. 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 …

  19. 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…

  20. 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 …

  21. 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…

  22. 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…

  23. 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…





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