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
1Unique collaborators
1/1Semantic Scholar citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Semantic Scholar:
2456996747
ORCID evidence
No valid ORCID is stored.
Observed aliases (2)
- Jim Caron (semantic scholar, provider refresh)
- Jim Caron (semantic scholar, source metadata)
Topics and outcomes in this view
Assessment themes
- Governance: 1 paper
- Human Ai Collab: 1 paper
- Labor Markets: 1 paper
- Org Design: 1 paper
- Skills Training: 1 paper
Claim outcomes
- Task Allocation: 1 paper
- Organizational Efficiency: 1 paper
- Skill Acquisition: 1 paper
- Adoption Rate: 1 paper
- Employment: 1 paper
- Job Displacement: 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 |
|---|---|---|---|
| Generative AI won't mechanically eliminate work — its economic impact depends on institutions: adoption, verification, apprenticeship and bargaining shape who benefits and whether expertise endures. Policymakers and firms must treat AI deployment as governance and workflow design, not plug-and-play automation.semantic_scholar | Jim Caron provider id |
2026-08-11 | 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.