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: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5125690001
ORCID evidence
No valid ORCID is stored.
Observed aliases (2)
- Satyadhar Joshi (openalex, provider refresh)
- Satyadhar Joshi (openalex, source metadata)
Topics and outcomes in this view
Assessment themes
- Adoption: 1 paper
- Governance: 1 paper
- Org Design: 1 paper
- Productivity: 1 paper
Claim outcomes
- Firm Productivity: 1 paper
- Organizational Efficiency: 1 paper
- Task Allocation: 1 paper
- Consumer Welfare: 1 paper
- Decision Quality: 1 paper
- Governance And Regulation: 1 paper
- Market Structure: 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 |
|---|---|---|---|
| Autonomous AI agents could let three-person advisers run institutional-grade investing by automating analysis, compliance and operations and cutting costs by 50–70%. The claim rests on a detailed technical and regulatory blueprint but lacks real-world deployment evidence, making economic gains conditional on data access, model reliability and regulatory acceptance.openalex | Satyadhar Joshi provider id |
2026-02-12 | 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.