Direction, evidence grade, and study type are AI-generated labels (gpt-5-mini), not human-verified. Syntheses are LLM-written. "Tensions" are machine-detected candidates, not confirmed contradictions. A research-acceleration tool, not peer review.
How this is built →
1Distinct papers
0Unique collaborators
1/1Semantic Scholar citation coverage
Publication dates unavailable. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Semantic Scholar:
2348407069
ORCID evidence
No valid ORCID is stored.
Observed aliases (1)
- Siqi Zhu (semantic scholar, provider refresh)
Topics and outcomes in this view
Assessment themes
- Labor Markets: 1 paper
- Productivity: 1 paper
Claim outcomes
- Wages: 1 paper
- Automation Exposure: 1 paper
- Labor Share: 1 paper
- Skill Obsolescence: 1 paper
Papers in the Semantic Scholar view
Latest stored Semantic Scholar author observations only. Citation counts below are from the same provider and are not combined with other services.
Scroll the table horizontally to see every column.
| Paper | Author evidence | Date | Provider citations |
|---|---|---|---|
| AI agents don't make wages vanish — compute prices do. In tasks where human and agent labor substitute, human cognitive wages are capped by the cost of rented compute (scaled by agents' compute intensity and relative productivity), moving the key price-setting margin from labor to compute.semantic_scholar | Siqi Zhu provider id |
Fetched 2026-05-08 | 0 |
Citation observation summary
Semantic Scholar supplied counts for 1 of 1 papers in this view; 0 are missing. The observed paper counts sum to 0 cumulative citations. This is a coverage summary, not an author score or h-index.