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
0Unique collaborators
2/2Semantic Scholar citation coverage
Publication dates unavailable. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Semantic Scholar:
2095547
ORCID evidence
No valid ORCID is stored.
Observed aliases (1)
- Satyadhar Joshi (semantic scholar, provider refresh)
Topics and outcomes in this view
Assessment themes
- Adoption: 2 papers
- Governance: 2 papers
- Productivity: 2 papers
- Human Ai Collab: 1 paper
- Inequality: 1 paper
- Labor Markets: 1 paper
- Org Design: 1 paper
- Skills Training: 1 paper
Claim outcomes
- Firm Productivity: 2 papers
- Governance And Regulation: 2 papers
- Ai Safety And Ethics: 1 paper
- Organizational Efficiency: 1 paper
- Inequality: 1 paper
- Skill Acquisition: 1 paper
- Adoption Rate: 1 paper
- Automation Exposure: 1 paper
- Job Displacement: 1 paper
- Market Structure: 1 paper
- Output Quality: 1 paper
- Regulatory Compliance: 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 |
|---|---|---|---|
| Agentic AI could halve investment-management costs and threaten large-scale displacement among financial planners; the authors propose mandatory AI literacy, specialized degree tracks, federal retraining and income support, and regulatory incentives to steer a 5–15 year workforce transition.semantic_scholar | Satyadhar Joshi provider id |
Fetched 2026-03-30 | 0 |
| Open-source AI offers transparency, customization and privacy advantages while proprietary systems dominate on reliability and vendor support; policymakers should adopt a hybrid, tiered governance and certification regime to capture complementary benefits without entrenching inequities or market concentration.semantic_scholar | Satyadhar Joshi provider id |
Fetched 2026-03-12 | 7 |
Citation observation summary
Semantic Scholar supplied counts for 2 of 2 papers in this view; 0 are missing. The observed paper counts sum to 7 cumulative citations. This is a coverage summary, not an author score or h-index.