Emerging evidence
Published recordLaborThe Trace
More
Task-Specific Technical Change and Comparative Advantage
- Truvace record
- TRV-2026-2481raw data (JSON)
- Version
- v2Revised
- First published
- Evidence type
- Benchmark or lab evaluationPreprint, not yet peer reviewed
- Sources
- 1 sourcePeer-reviewed
- sha256
- daa7dfe95f8a…check it
Artificial intelligence (AI) reshapes workers’ comparative advantage by altering the tasks they perform and the skills those tasks require. We develop a dynamic task-based model to quantify the general-equilibrium effects of task-specific technical change. Workers have multidimensional skills, choose occupations, and accumulate skills on the job; occupations combine tasks, and productivity depends on how workers’ skills match task requirements. We develop a computationally efficient procedure to estimate the mod…
58Gain side
How the two sides scoreClose call
58Problem side
The gain
In a model-based projection for the moderate AI scenario, the 90-10 wage ratio falls 24 percent and average wages rise 28 percent, with the largest welfare gains going to the lowest-skill workers.
The problem
In the same model, skill-dependent adoption costs cut the projected average wage gain from 28 percent to 0.3 percent, and AI lowers the returns to skills, with verbal skills losing the most value.
A fixed formula sets both scores from the evidence and its sources. Reader votes don’t move them.
What the scores mean
G is the gain side, out of 100. It goes up when the gain is specific, when it measurably helped people and when the sources behind it are strong.
P is the problem side, out of 100. It goes up when the problem is specific, when it measurably hurt people and when the sources behind it are strong.
What this doesn’t fix
The results come from a structural model run under slow, moderate and rapid scenarios for AI capabilities, which are described as uncertain and evolving; they are projections rather than observed wage changes, and the paper is a working paper not yet peer-reviewed.
Sources
1 on file- NBER Working Paperdoi:10.3386/w35353
Cite this record
v2Truvace Impact Record TRV-2026-2481, v2: “Task-Specific Technical Change and Comparative Advantage.” Truvace, 2026-11-12. /record/TRV-2026-2481 (accessed on the day you copy it). sha256 daa7dfe95f8a40ee…
Change history
2 versionsEvery change made to this record since it was first published, and why.
Refiled from Gain to Trace after a re-read of the full paper: its headline result comes with a stated cost, and the record now carries both.
Certified into the record
Check this record hasn’t been altered
How to check it yourself, without trusting this page
Download any version from /api/record/TRV-2026-2481 and hash its canonical field yourself, for example with shasum -a 256. You should get its content_hash. Each version’s text also ends with prev:and the hash of the version before it (version 1 points to 64 zeros). If anyone had changed a single character of any version after it was saved, those hashes wouldn’t line up.
ace