Reading / 2026-05/2026-05-02t155432-cognitive-offloading-and-ai-how-reliance-on-llms-affects
The AI Layoff Trap
This economics theory paper argues that firms face a structural trap when adopting AI: laying off workers to cut costs erodes the human capital needed to oversee and correct AI systems, creating long-run productivity and quality risks.
May 02, 2026 · tech · Brett Hemenway Falk; Gerry Tsoukalas, arXiv
Topics
- ai-labor-economics
- automation
- llm-engineering
- human-capital
- future-of-work
Cited by
- Automation
Automation, particularly AI-driven automation, promises long-run productivity gains while creating near-term disruption: firms risk eroding the human oversight capacity they need, and entire job categories may disappear faster than workers can adapt.
- Future of work
AI and automation are reshaping labor markets in ways that differ from prior technological waves, with near-term job displacement risks compounded by a structural trap where cutting human workers undermines the oversight capacity firms need to run AI safely.
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