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
5Unique collaborators
1/1Semantic Scholar citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Semantic Scholar:
2500374437
ORCID evidence
No valid ORCID is stored.
Observed aliases (1)
- Pierre-Alexandre Kamienny (semantic scholar, provider refresh)
Topics and outcomes in this view
Assessment themes
- Adoption: 1 paper
- Governance: 1 paper
- Human Ai Collab: 1 paper
- Org Design: 1 paper
- Productivity: 1 paper
Claim outcomes
- Consumer Welfare: 1 paper
- Market Structure: 1 paper
- Firm Revenue: 1 paper
- Organizational Efficiency: 1 paper
- Task Completion Time: 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 |
|---|---|---|---|
| AI-native brokerage could unlock service for millions of underinsured small firms by cutting per-account service costs from hundreds to a few dollars; Kinro's operational snapshots and a five-year model find human brokerage needs $444–$1,020 in annual commission for typical service while AI-based workflows break even at roughly $31–$41. The paper documents demand, timing, and heterogeneity that make continuous, multilingual, out-of-hours service valuable, but it stops short of validating underwriting or claims outcomes under AI-enabled operations.openalex | Pierre-Alexandre Kamienny provider id |
2026-09-17 | 0 |
Citation observation summary
Semantic Scholar 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.