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
1/1OpenAlex citation coverage
Publication dates unavailable. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5140322073
ORCID evidence
No valid ORCID is stored.
Observed aliases (1)
- Andrew Johnston (openalex, provider refresh)
Topics and outcomes in this view
Assessment themes
- Human Ai Collab: 1 paper
- Labor Markets: 1 paper
- Productivity: 1 paper
Claim outcomes
- Employment: 1 paper
- Other: 1 paper
- Adoption Rate: 1 paper
- Firm Productivity: 1 paper
- Labor Share: 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 |
|---|---|---|---|
| Enterprise AI adoption boosted output substantially after 2021 but had mixed labor effects: a 1 SD rise in occupational AI exposure increased output by roughly 7%, employment rose where AI augments human workers and was unchanged where AI can act independently, while the labor share fell.semantic_scholar | Andrew Johnston provider id |
Fetched 2026-07-13 | 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.