After the Corporate AI Training, She Stopped on the Way Home for Hard Seltzers

A woman at an unnamed company sat through her employer's mandatory AI training session and walked out saying "well, we're screwed." Her coworker, who posted about it on Bluesky, stopped at a convenience store on the way home and bought two hard seltzer pounders. She described going out to sit in the yard with her friends and consciously deciding not to think about being replaced by 2030. The post got 45 likes — a modest number, but the replies read like a group text between people who'd had the same afternoon.

That moment — the corporate training that functions less as upskilling and more as a formal announcement — keeps appearing at the edges of the AI job displacement conversation. It sits awkwardly alongside the official narrative. Anthropic's own research, cited in another post that circulated this week, found AI isn't replacing jobs yet. But the same research flagged growing inequality between workers who've mastered the tools and those who haven't — a finding that reads very differently depending on which side of that divide you're standing on. The researchers frame it as a future risk. The woman in the yard is treating it as a present fact.

The macro picture isn't reassuring context. Meta announced another round of layoffs this week — hundreds of workers across Reality Labs, global operations, recruiting, and sales — while simultaneously accelerating AI spending. The pattern is consistent enough that a Forrester analyst quoted in a Wall Street Journal piece called it directly: "AI washing is pervasive right now." Companies invoking AI to explain cuts that would have happened regardless. A Resume.org survey found 59% of hiring managers admit they use the AI explanation because it plays better with stakeholders than admitting slower sales or overcorrected pandemic hiring. That gap between the stated reason and the actual reason is doing something to workers — teaching them that when the company schedules a training session about AI productivity tools, the subtext may be a severance timeline.

Senator Mark Warner's proposal to tax data centers and redirect the revenue toward displaced workers surfaced in this same conversation, framed as mitigation for a transition already underway. It may be — but the Bluesky post making the most pointed argument about economic structure this week came from a UBI advocate who noted the policy justification for universal basic income has existed since the 1970s and predates any AI deployment. Every year of delay, the argument goes, is another year the economic dividend flows to capital rather than labor. The woman in the yard probably isn't reading UBI manifestos. She's just doing the math on what her employer's training session was actually telling her.