Intuit's badge readers went dark for three thousand people this week, and the memo blamed "AI." We ask how many of 2026's layoff headlines are real causation and how many are Just So Stories - tidy explanations built to end the questions, not answer them.

Along the way: Sam Altman's own admission that companies are "AI washing" their cuts, a European rule on algorithmic firing decisions that got quietly postponed one day before it was due to bind, and a fresh PwC report showing where the real shift is happening - judgment-heavy work pulling away from everything a model can commoditize.

Two Nobel-winning economists spent years telling everyone to stop panicking about "AI" and jobs. This week they signed a joint statement, alongside 200+ economists and 16 Nobel laureates, warning it could reshape the economy faster than the Industrial Revolution. We dig into what actually changed their minds: Verizon's 16,600 job cuts, a hiring freeze two-thirds of CEOs can't yet justify with data, a quiet insurance-sector layoff filing, and a generation of young software developers whose employment just fell 20%. Plus: the regulatory patchwork racing to catch up, and why "new AI jobs will replace the old ones" is still mostly a hope dressed up as a forecast.

After a way too long break, we're back with the story that made silence impossible: companies that laid off workers for AI are quietly, expensively rehiring them, and a new survey of 2,000 hiring managers puts a real number on it. We trace the "AI boomerang" back thirty years to a nearly identical management fad, sit inside a discrimination lawsuit alleging an algorithm targeted employees on medical and parental leave, and ask what it means that the last 40% of almost every job turns out to be the part no one figured out how to automate.