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 span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5136235845
ORCID evidence
No valid ORCID is stored.
Observed aliases (1)
- Bianca de Teffé Erb (openalex, provider refresh)
Topics and outcomes in this view
Assessment themes
- Human Ai Collab: 1 paper
- Labor Markets: 1 paper
- Skills Training: 1 paper
Claim outcomes
- Automation Exposure: 1 paper
- Job Displacement: 1 paper
- Firm Productivity: 1 paper
- Governance And Regulation: 1 paper
- Inequality: 1 paper
- Other: 1 paper
- Skill Acquisition: 1 paper
- Task Allocation: 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 |
|---|---|---|---|
| AI is changing the nature of work by automating tasks, not entire occupations: about 9% of jobs are fully automatable, yet almost every role will be affected. Who wins or loses will hinge on firms' training choices and public policy, with displacement concentrated among older and lower-mobility workers.openalex | Bianca de Teffé Erb provider id |
2026-05-15 | 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.