The mental fog and decision paralysis that come from overseeing too many AI tools at once. Coined by researchers at Boston Consulting Group in a January 2026 study of 1,488 U.S. workers. The culprits are AI oversight and workload creep. The sweet spot for parallel tools is three, after that, self-reported productivity drops. Bedard, Julie...
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Time put “The People vs. AI” on its cover and profiled nine Americans fighting data centers, chatbot harms, and AI in hospitals. A companion essay argues AI policy has left the wonk phase and entered kitchen-table politics, but neither party in the U.S. knows what to say about it yet. (Andrew R. Chow / Rebecca Lissner)
“In 2026, it’s a scary time to work for a living.” That’s how the Guardian launches Reworked, a yearlong series on AI and the future of the job. The same technology that’s making software engineers nervous is making them realize they have more in common with warehouse workers than with their CEOs. (Samantha Oltman)
Reinforcing competence: AI companies are paying thousands of lawyers, consultants, and other professionals through startups like Mercor and Surge to write out in detail what counts as a job well done in every conceivable context. (Josh Dzieza and Hayden Field, The Verge)
Sci-fi author and digital activist Cory Doctorow on the AI bubble: “The promise AI companies make to investors is that there will be AIs that can do your job, and when your boss fires you and replaces you with AI, he will keep half of your salary for himself, and give the other half to the AI company. (…) But AI can’t do your job.”
In left-leaning media outlets like n+1, resistance against AI is taking shape: “When we use generative AI, we consent to the appropriation of our intellectual property by data scrapers. We stuff the pockets of oligarchs with even more money. (…) There’s still time to disenchant AI, provincialize it, make it uncompelling and uncool.”
Make this your weekend read: Designer Frank Chimero talks about AI and specifically vibe coding. “Time saved is not strength gained,” he says, and gets into how Brian Eno works with machines for his music. And then there is a nice riff on the Ghibli movie “Spirited Away”. Recommended!
Channel4 had a segment about AI-driven job loss presented by an AI host—and the Guardian published a hilarious (if not predictably) takedown. (Stuart Heritage, The Guardian)
What if we let ChatGPT, Claude, and Gemini cosplay as famous authors? Would anyone notice? Would critics swoon? Would readers care? Spoiler alert: finetuning works really good, a new study finds. (Rosalia Anna D’Agostino, LinkedIn)
Former Wondery exec Jeanine Wright launches Inception Point AI, flooding the zone with 5,000 AI-generated podcasts at $1 per episode. Her take: calling AI content “slop” makes you a “lazy luddite.” Sure. When your business model requires only 50 listeners per episode to turn a profit, maybe the bar isn’t exactly set at Pulitzer Prize level. (Caitlin Huston, Hollywood Reporter)
How thousands of ‘overworked, underpaid’ humans train Google’s AI to seem smart: Contracted AI raters describe grueling deadlines, poor pay and opacity around work to make chatbots intelligent. (Varsha Bansal, The Guardian)
The catastrophe of knowledge work waits to be beautiful again, and interesting, and modern: From “Mad Men” to the AI era, the problems of underconsumption. (Matt Pearce, Substack)
$200+ monthly fees: Welcome to the two-tier AI landscape favoring the well-off. (Reece Rogers, Wired)
