US Programming Job Growth Halved, Costing 500,000 Roles After ChatGPT
Updated
Updated · Crypto Briefing · Jul 20
US Programming Job Growth Halved, Costing 500,000 Roles After ChatGPT
3 articles · Updated · Crypto Briefing · Jul 20
Summary
500,000 fewer US programming jobs are now expected over three years after job growth nearly halved following ChatGPT’s 2022 launch, according to a Federal Reserve report cited in new Stanford analysis.
Stanford found the hit was concentrated among young developers: software employment for 22-to-25-year-olds was down nearly 20% by September 2025 versus late 2022, with AI-exposed roles shrinking faster than less-exposed ones.
4.2% year-over-year contraction in AI-exposed occupations for that age group compared with 1.7% in less-exposed fields points to an occupation-specific shock rather than a broad tech downturn.
10% workforce growth at high-AI-spending companies, alongside 12% entry-level hiring growth in Ramp and Revelio data from 21,500 firms, suggests AI investment can expand hiring even as aggregate early-career demand weakens.
The combined picture is a bifurcated tech labor market: senior and specialized roles have held up better, while the bottom rung where new programmers gain experience has taken the brunt.
Why are the most AI-savvy firms hiring more junior staff while the overall youth job market collapses?
Is a six-figure trade school job now a smarter bet than a computer science degree for young Americans?
If AI is the world's new intern, how will the next generation of human experts ever be trained?
The AI Revolution in US Programming: Fewer Entry-Level Jobs, Higher Skill Demands, and Policy Gaps (2022–2026)
Overview
From late 2022 to mid-2026, the US programming job market experienced significant change as rapid advancements in generative AI fueled speculation about its disruptive potential. However, the immediate impact of AI on programming jobs was more nuanced and subtle than expected. Evidence suggests that AI was probably not the main cause of recent job losses in software development or other white-collar roles. Researchers, including those from the Stanford Digital Economy Lab, found similar patterns across computer occupations, indicating that while AI's influence is growing, its effect on labor outcomes has so far remained subtle and complex.