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 dates unavailable. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Semantic Scholar:
14082802
ORCID evidence
No valid ORCID is stored.
Observed aliases (1)
- Tina Highfill (semantic scholar, provider refresh)
Topics and outcomes in this view
Assessment themes
- Productivity: 2 papers
- Adoption: 1 paper
- Labor Markets: 1 paper
Claim outcomes
- Labor Share: 2 papers
- Governance And Regulation: 1 paper
- Employment: 1 paper
- Consumer Welfare: 1 paper
- Firm Productivity: 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 |
|---|---|---|---|
| Industry-level national-account analysis suggests AI adoption raises measured productivity and reduces input and labor intensity while tilting employment toward younger, less-educated workers; however, estimates depend importantly on how and when AI pervasiveness is dated, highlighting substantial measurement uncertainty.semantic_scholar | Tina Highfill provider id |
Fetched 2026-04-22 | 0 |
| Industries with greater AI intensity charge lower prices, and the fall in prices is partly driven by reduced labor and materials costs; however, the result is correlational rather than strictly causal.semantic_scholar | Tina Highfill provider id |
Fetched 2026-04-11 | 0 |
Citation observation summary
Semantic Scholar supplied counts for 2 of 2 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.