The Batch n°352 — "There Will Be No AI Jobpocalypse" (Andrew Ng)
Editorial by Andrew Ng in The Batch n°352 of May 8, 2026 — **"There Will Be No AI Jobpocalypse"** — which dismantles the narrative of mass unemployment caused by AI, drawing on the **healthy 4.3%** US unemployment rate and robust tech hiring. Ng identifies **three drivers** of the jobpocalypse narrative: **(1) tech incentives** — AI labs benefit from presenting themselves as transformative-disruptive (funding rounds, valuations, talent); **(2) pricing power** — vendors charge **$10,000+/year** to enterprise clients by **anchoring their pricing on the salary of the replaced employee**, rather than on traditional SaaS pricing (per seat / per usage); **(3) corporate messaging** — companies reframe their layoffs as *"AI efficiency"* rather than acknowledging the **pandemic-era overhiring** of 2020-2022. Honest acknowledgment: *"AI disrupts work"*. But Ng flips this into **"AI jobapalooza"** (a play on Lollapalooza) — job creation in AI engineering and adjacent fields with evolving skill sets. Implicit tension with **Amodei** (50% of white-collar jobs eliminated by 2030) — Ng points out, without naming him, that **Anthropic benefits from promoting this narrative** (tech incentives). Published **the same day** as **Wallace-Wells's "AI Populism" NYT Magazine** piece: a perfect mirror reading — Ng = cold economic analysis / Wallace-Wells = popular panic. Pricing-power convergence with **Bain's "$100B cross-system labor"** (same thesis: pricing anchored on salaries).
Andrew Ng (fondateur DeepLearning.AI, Stanford, ex-Google Brain, ex-Baidu, ex-Coursera)