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 →
2Distinct papers
1Unique collaborators
2/2Semantic Scholar citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Semantic Scholar:
2346066010
ORCID evidence
No valid ORCID is stored.
Observed aliases (1)
- Yukun Zhang (semantic scholar, provider refresh)
Topics and outcomes in this view
Assessment themes
- Innovation: 2 papers
- Adoption: 1 paper
- Governance: 1 paper
- Human Ai Collab: 1 paper
- Labor Markets: 1 paper
- Productivity: 1 paper
Claim outcomes
- Market Structure: 2 papers
- Firm Productivity: 2 papers
- Governance And Regulation: 2 papers
- Consumer Welfare: 1 paper
- Adoption Rate: 1 paper
- Employment: 1 paper
- Innovation Output: 1 paper
- Skill Acquisition: 1 paper
Papers in the Semantic Scholar view
Latest stored Semantic Scholar 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 |
|---|---|---|---|
| Generative AI's near-zero marginal costs can hollow out the middle of content producers and trigger volatile transitions that briefly collapse parts of the market; when AI-generated information creates strong congestion, further AI expansion can reduce total welfare, arguing for output-focused congestion management rather than laissez-faire input adoption.arxiv | Yukun Zhang provider id |
2026-01-18 | 0 |
| Modeling LLMs as a distinct form of capital shows that competitive dynamics intensify as firms race to improve relative capability, cheaper inference paradoxically increases aggregate compute demand, and user-feedback data flywheels can push markets toward winner-takes-all outcomes.arxiv | Yukun Zhang provider id |
2026-01-18 | 0 |
Citation observation summary
Semantic Scholar supplied counts for 2 of 2 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.