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
2Unique collaborators
1/1OpenAlex citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5136495153
ORCID evidence
No valid ORCID is stored.
Observed aliases (2)
- Garg, Prashant (openalex, provider refresh)
- Prashant Garg (openalex, provider refresh)
Topics and outcomes in this view
Assessment themes
- Adoption: 1 paper
- Labor Markets: 1 paper
Claim outcomes
- Adoption Rate: 1 paper
- Other: 1 paper
- Inequality: 1 paper
- Job Displacement: 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 |
|---|---|---|---|
| A new task-level atlas finds automation exposure ranges from about 3% of tasks in the poorest countries to over 60% in China, rising strongly with income; low-income countries face relatively more labour-substituting and low-tech automation, whereas AI is more prevalent and more often labour-augmenting in richer economies.openalex | Garg, Prashant provider id |
2026-05-16 | 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.