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
1/1OpenAlex citation coverage
Publication dates unavailable. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5134027407
ORCID evidence
Observed aliases (1)
- Arthur O'Connor (openalex, provider refresh)
Topics and outcomes in this view
Assessment themes
- Labor Markets: 1 paper
- Org Design: 1 paper
- Productivity: 1 paper
Claim outcomes
- Adoption Rate: 1 paper
- Task Allocation: 1 paper
- Employment: 1 paper
- Other: 1 paper
- Wages: 1 paper
Papers in the OpenAlex view
Latest stored OpenAlex 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 |
|---|---|---|---|
| Early adopters of generative AI in 2022–25 have reorganized knowledge work: firms that integrated AI tools show significant occupational reallocation, task realignment and shifts in pay dynamics compared with matched non-adopters.semantic_scholar | Arthur O'Connor orcid |
Fetched 2026-04-29 | 0 |
Citation observation summary
OpenAlex 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.