The tech jobs bust is real. Don't blame AI (yet)

Article Summary

The Economist argues that the current tech employment downturn is real and significant, but attributes it primarily to a correction from over-hiring during the 2021 boom rather than AI-driven displacement. Developer job postings are reportedly up roughly 11% year-over-year and the BLS projects 15% long-term growth for software roles, suggesting a rebound from 2024-25 lows is underway. The piece cautions against prematurely crediting AI as the cause, while acknowledging the question will need revisiting as AI capabilities advance.

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Discussion Summary

• Big tech insiders report that H-1B hiring from India/China dominates their orgs (95% in some teams), with American graduate resumes rarely reaching hiring managers — suggesting the job bust has an immigration-policy dimension the article ignores
• Counter-narrative on AI impact: “LLMs didn’t replace devs directly, but they made the ‘guy who wrote it’ replaceable — because now LLMs can dig into legacy code better than the original author,” eroding individual pricing power
• Data-driven pushback: developer postings are up ~11% YoY, tech workforce projected +1.9% for 2026, BLS projects 15% long-term growth — some invoke Jevons paradox (AI making dev work cheaper will increase demand)
• Downstream effects beyond layoffs: smaller employers cite big-tech layoffs as justification for “abysmal, unlivable salaries,” poisoning the well for the entire market
• Only 28% of San Francisco firms use AI regularly in day-to-day operations per the Census Bureau — suggesting it’s too early for AI to be the primary driver of job losses