Reporting archive
Evidence on AI and work
Reporting archive

Snap’s 8‑K said the quiet part out loud: AI is replacing seats, not just augmenting work—and Wall Street rewarded the math.

Google arrived in DC with pilots, apprenticeships, and a scoreboard for AI at work—labor countered with a simpler metric: who gets to decide.

Stanford’s 2026 AI Index shows output surging while the first rungs of white‑collar work quietly disappear, as models eat boilerplate and managers raise the bar for entry.

The IMF’s chief shifted the AI debate from job counts to career architecture, warning that AI is erasing the practice work that once built the middle and urging us to engineer new rungs now.

Karp’s wager is brutal and specific: scrap the BA filter, hire the hands that can fix things—with AI as their exoskeleton.

AI vendors have moved from pitching the future to auditing the past, turning tokens, APIs, and cloud drift into this quarter’s cash register.

Fortune’s new data shows the biggest AI risk at work isn’t model quality—it’s a quiet refusal to click, turning “adoption” into a consent fight and a mounting friction tax.

ProPublica’s one-day blackout turned readers into leverage, forcing a public test of whether AI guardrails belong in policy—or in a contract.

Older professionals are being paid by the click to make AI safer and sharper—while their own careers are recast into unstable, benefit-light piecework.

Goldman’s new estimate says AI is quietly trimming 16,000 U.S. jobs a month, mostly from the first rungs of routine white‑collar work, reshaping who gets hired and how they learn.