Tech layoffs in 2024 have already surpassed 60,000 globally per Layoffs.fyi. Google cut 1,000 roles in April after 12,000 in January. Meta axed 10,000 in 2023 and another 5,000 this year. Amazon’s 27,000 cuts since 2022 continue via stealth reductions. Microsoft trimmed 1,900 in January and 1,000 more in May. The pattern is clear: cyclical downsizing is now structural. AI adoption accelerates this. Goldman Sachs estimates 300 million jobs could be automated by AI globally with 25% of tasks at risk in the US and Europe.

This is not a demand shock. It’s a productivity shock. AI tools like GitHub Copilot and Amazon CodeWhisperer are boosting developer output by 30-50% per McKinsey. Companies are reallocating headcount to AI-focused roles while shedding legacy functions. The forever layoff is the flip side of the productivity J-curve: short-term pain for long-term margins. The second-order effect is a bifurcated labor market. High-skill AI engineers command $500,000+ TC at FAANG while mid-tier roles in content moderation and basic coding vanish. This exacerbates inequality and hollows out the middle class of tech labor.

Winners: NVIDIA up 200% YoY on $80B AI chip demand, Microsoft Azure’s $10B AI revenue run rate, Google Cloud’s $9B AI bet. Losers: Mid-level engineers at FAANG, content moderators at Meta, recruiters at LinkedIn. Countries: US and China lead in AI reskilling; EU lags with rigid labor laws.

Expect 2025 layoffs to target non-engineering roles first. Salesforce’s $800M cost-cutting plan hints at this. Watch for unionization attempts at Google and Amazon as white-collar precarity rises. Regulatory backlash in EU could slow US AI adoption if layoffs spark political pushback.