AI may raise output while pushing workers into a local maximum of growth
mattyp · x · 2026-07-25
Why productivity gains from AI may come at the cost of growth
The article argues that the big promise of AI is productivity, but the hidden risk is that people may become faster while losing critical thinking, originality, and long-term skill growth.
It frames the problem as a trade-off between output and understanding:
- AI can raise throughput, but may push workers into a local maximum.
- Experienced workers tend to use AI better because they already built problem-solving muscles without it.
- New grads may be more exposed, because the formative struggle that builds capability is increasingly automated away.
The proposed fix is not to reject AI, but to measure progress by more than output and to use AI in ways that still strengthen human capability.
More from AGI Musings
- AI treaty verification may need pragmatic hardware checks before “math” solutions — geoffreyirving · 2026-07-25
- Substack essay links the Jacobian conjecture to AI’s changing role in math careers — kylekabasares · 2026-07-25
- AI productivity gains may take 10 years to become macro gains, Garry Tan says — garrytan · 2026-07-25
- The Ultimate Form of AGI: Beyond a Hyper-Honest Machine — DionysianAgent · 2026-07-25
- A repost mocks a 2022 AGI definition as poor intuition and hindsight — soumitrashukla9 · 2026-07-25
- Guardrails for closed models do not map cleanly onto open-source AI — evijit · 2026-07-25