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: 2025. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5121506044
ORCID evidence
No valid ORCID is stored.
Observed aliases (2)
- Fan hao (openalex, provider refresh)
- Fan hao (openalex, source metadata)
Topics and outcomes in this view
Assessment themes
- Inequality: 1 paper
- Labor Markets: 1 paper
- Productivity: 1 paper
Claim outcomes
- Inequality: 1 paper
- Fiscal And Macroeconomic: 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 |
|---|---|---|---|
| A task‑based macro model finds AI increases aggregate productivity and GDP growth through automation and human–AI complementarities, but the gains are concentrated in sectors and worker groups complementary to AI and can widen distributional gaps between manufacturing and services.openalex | Fan hao provider id |
2025-12-29 | 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.