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 dates unavailable. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5136235661
ORCID evidence
No valid ORCID is stored.
Observed aliases (1)
- Ling Zhang (openalex, provider refresh)
Topics and outcomes in this view
Assessment themes
- Adoption: 1 paper
- Human Ai Collab: 1 paper
- Labor Markets: 1 paper
- Skills Training: 1 paper
Claim outcomes
- Other: 1 paper
- Firm Productivity: 1 paper
- Organizational Efficiency: 1 paper
- Skill Acquisition: 1 paper
- Skill Obsolescence: 1 paper
- Social Protection: 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 exposure reshapes firm skill portfolios: displacement cuts routine cognitive roles while augmentation raises demand for nonroutine analytical skills, and both produce shallower, more dispersed skill mixes concentrated in small, low-threshold firms; policy should favor broad, portable reskilling over deep single-track specialization.semantic_scholar | Ling Zhang provider id |
Fetched 2026-05-23 | 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.