Measuring AI Productivity: Is GDP Better Than Real Output Growth?
herbiebradley · x · 2026-07-27
Questioning the focus on "real output growth" as the ultimate metric for AI productivity, the author argues that for purely economic reasons, GDP might be a better tracker for AI-induced productivity in the services sector, despite its own flaws.
The primary reason to care about real output growth is its potential correlation with power. However, the author notes a lack of detailed arguments spelling out this correlation or suggesting better alternative metrics.
More from AGI Musings
- OpenAI and data quality keep compounding while the ‘agentic AI’ buzz cools — YvesMulkers · 2026-07-28
- UK Biobank policy could bar sharing foundation-model weights as data-equivalent — anshulkundaje · 2026-07-27
- As top models get distilled everywhere, one post asks why frontier training still pays — 0xsachi · 2026-07-27
- UBI as pre-distribution could help people retrain, start businesses and have kids — cccalum · 2026-07-27
- "The security debt collector is coming": one post says AI will expose the industry's backlog — wunderwuzzi23 · 2026-07-27
- AI Speeds Up Output 10x, But Why Do Outcomes Remain Unchanged? The AI Productivity Paradox — rseroter · 2026-07-27