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 span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5071800981
ORCID evidence
No valid ORCID is stored.
Observed aliases (4)
- Hugo Reichardt (openalex, provider refresh)
- Hugo Reichardt (openalex, source metadata)
- Reichardt, Hugo (openalex, provider refresh)
- Reichardt, Hugo (openalex, source metadata)
Topics and outcomes in this view
Assessment themes
- Human Ai Collab: 1 paper
- Inequality: 1 paper
- Labor Markets: 1 paper
- Productivity: 1 paper
- Skills Training: 1 paper
Claim outcomes
- Other: 1 paper
- Inequality: 1 paper
- Skill Acquisition: 1 paper
- Skill Obsolescence: 1 paper
- Task Allocation: 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 |
|---|---|---|---|
| Generative AI could lift average wages by roughly a fifth while compressing the wage distribution; the model attributes this to a new 'simplification' channel where AI reduces the skills needed for tasks, letting lower-skilled workers compete for jobs once reserved for higher-skilled workers.openalex | Reichardt, Hugo provider id |
2026-01-01 | 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.