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 →
2Distinct papers
1Unique collaborators
2/2Semantic Scholar citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Semantic Scholar:
2373587998
ORCID evidence
No valid ORCID is stored.
Observed aliases (1)
- Shuyao Gao (semantic scholar, provider refresh)
Topics and outcomes in this view
Assessment themes
- Adoption: 2 papers
- Labor Markets: 2 papers
- Governance: 1 paper
- Human Ai Collab: 1 paper
- Skills Training: 1 paper
Claim outcomes
- Automation Exposure: 2 papers
- Job Displacement: 1 paper
- Other: 1 paper
- Task Allocation: 1 paper
- Wages: 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 |
|---|---|---|---|
| A granular LLM-driven decomposition of 1,961 O*NET activities uncovers a stable bipolar structure of automation exposure—Tool‑Mediated Physical and Planning & Design sit at opposite poles—but the pole labeled 'high risk' has inverted since the Frey‑Osborne era, implying exposure rankings depend on the prevailing AI capability frontier.arxiv | Shuyao Gao provider id |
2026-06-06 | 0 |
| A granular LLM-and-expert assessment finds data-heavy cognitive occupations unusually exposed to automation while hands-on trades and high-stakes caregiving remain resilient; liability and compliance concerns create an emerging wage 'compliance premium' that could reshape who benefits from AI. The paper provides a diagnostic exposure index for 923 U.S. occupations but does not demonstrate realized employment or wage effects.arxiv | Shuyao Gao provider id |
2026-04-06 | 1 |
Citation observation summary
Semantic Scholar supplied counts for 2 of 2 papers in this view; 0 are missing. The observed paper counts sum to 1 cumulative citations. This is a coverage summary, not an author score or h-index.