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
0Unique collaborators
2/2OpenAlex citation coverage
Publication span: 2025. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5098800482
ORCID evidence
No valid ORCID is stored.
Observed aliases (4)
- Lucas Parmentier (openalex, provider refresh)
- Lucas Parmentier (openalex, source metadata)
- Parmentier, Lucas (openalex, provider refresh)
- Parmentier, Lucas (openalex, source metadata)
Topics and outcomes in this view
Assessment themes
- Adoption: 2 papers
- Governance: 2 papers
- Inequality: 2 papers
- Labor Markets: 2 papers
- Productivity: 2 papers
Claim outcomes
- Wages: 2 papers
- Employment: 2 papers
- Inequality: 2 papers
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 |
|---|---|---|---|
| Automation and AI amplify employment shocks and compress wages across the skill distribution, reaching even many non-routine jobs; a calibrated policy analysis controversially finds that subsidizing AI — which substitutes for high-paid cognitive tasks — can lower income inequality.openalex | Parmentier, Lucas provider id |
2025-12-11 | 0 |
| Automation magnifies technology shocks to cut hours and wages across skill levels, with routine-task exposure lowering pay even for largely non-routine jobs; because AI disproportionately substitutes high-paid cognitive work, subsidizing AI may—counterintuitively—reduce income inequality.openalex | Parmentier, Lucas provider id |
2025-12-11 | 0 |
Citation observation summary
OpenAlex 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.