AI layoffs outrun management capacity

The real AI productivity story isn't replacement — it's a mismatch between teams that got faster and leadership structures that didn't.

• –Klarna's reversal (bragged about replacing 700 workers, then rehired humans when quality dropped) is the clearest data point that "AI replaced workers" narratives often precede quiet corrections
• –S&P Global data showing 42% of companies abandoned AI initiatives in 2025 (up from 17%) suggests the hype-to-execution gap is widening, not closing
• –Monday.com's redeployment model — automate the task, keep the person — surfaces as a counter-pattern worth watching
• –The bottleneck flip thesis (execution is cheap, judgment and direction are scarce) has direct implications for how AI developer tools get adopted inside enterprises
• –Low Reddit engagement (score: 2, 4 comments) suggests this is a self-promotional post linking to the author's own analysis site