NYTimes: “For decades, two kinds of scarcity kept the internet safe — or safe enough. Writing software was hard, so the people who did it were trained, careful and few. Finding bugs was also hard, so the worst flaws stayed hidden, sometimes for decades. It wasn’t a great system. But the difficulty on both sides created a kind of détente that held. Now, thanks to new A.I. tools, anyone can write code. Soon, bad actors could use those same tools to find out what’s wrong with code. The détente is over.”
Akash Prakash on the FPI narrative on India: “While we are probably at peak negative India sentiment, and this sentiment has some element of cyclicality, with the AI trade front-loading earnings traction in North Asia, it is not entirely wrong. We need to regain the growth narrative. Today most investors see no compelling reason to look at India. Not cheap enough, not growing fast enough, not a global leader in any technology, why be here?”
FT: “Can humans still flourish in a near-future jobs market dominated by AI? Yes we can, says the theoretical neuroscientist and social entrepreneur Vivienne Ming. But first, she argues in her new book Robot-Proof, we must change the way we educate and hire the next generation of students and graduates. Equal parts self-help book and corporate manual, Robot-Proof is aimed at the home and the C-suite, its arguments dispatched with a Bay Area confidence that its readers inhabit both (in one section Ming advises parents to move “from a model of knowledge transmission to one of capacity building”). Will the world we’re preparing our children for exist by the time they have completed their education? No, argues Ming: AI will “deprofessionalize” once high-skill careers, opening up the law, medicine and finance to lower-skill, lower-paid workers and transforming the day-to-day of those jobs into something resembling a production line.”
Stanford’s 2026 AI Index report. “AI capability is not plateauing. It is accelerating and reaching more people than ever. Industry produced over 90% of notable frontier models in 2025, and several of those models now meet or exceed human baselines on PhD-level science questions, multimodal reasoning, and competition mathematics. On a key coding benchmark—SWE-bench Verified—performance rose from 60% to near 100% in a single year. Organizational adoption reached 88%, and 4 in 5 university students now use generative AI.”
