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:
A5130988838
ORCID evidence
No valid ORCID is stored.
Observed aliases (2)
- Tushar Chaudhari (openalex, provider refresh)
- Tushar Chaudhari (openalex, source metadata)
Topics and outcomes in this view
Assessment themes
- Adoption: 1 paper
- Human Ai Collab: 1 paper
- Inequality: 1 paper
- Labor Markets: 1 paper
- Org Design: 1 paper
- Productivity: 1 paper
- Skills Training: 1 paper
Claim outcomes
- Task Allocation: 1 paper
- Developer Productivity: 1 paper
- Inequality: 1 paper
- Job Displacement: 1 paper
- Other: 1 paper
- Skill Obsolescence: 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 reworking jobs rather than erasing them: it tends to replace discrete tasks, boost productivity most for junior staff, and create hybrid human–AI roles, with benefits and risks uneven across sectors and countries.openalex | Tushar Chaudhari 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.