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:
A5033843724
ORCID evidence
No valid ORCID is stored.
Observed aliases (2)
- Kanik, Zafer (openalex, provider refresh)
- Zafer Kanik (openalex, provider refresh)
Topics and outcomes in this view
Assessment themes
- Governance: 1 paper
- Inequality: 1 paper
- Labor Markets: 1 paper
- Productivity: 1 paper
Claim outcomes
- Wages: 1 paper
- Adoption Rate: 1 paper
- Governance And Regulation: 1 paper
- Market Structure: 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 productivity gains lift pay for workers who build AI while lowering pay for those whose tasks are replaced, and monopoly provision of AI curbs deployment and alters optimal redistribution and regulation.openalex | Kanik, Zafer provider id |
2026-07-01 | 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.