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
4Unique collaborators
1/1Semantic Scholar citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Semantic Scholar:
2457026135
ORCID evidence
No valid ORCID is stored.
Observed aliases (1)
- Neel Rakholia (semantic scholar, provider refresh)
Topics and outcomes in this view
Assessment themes
- Adoption: 1 paper
- Org Design: 1 paper
Claim outcomes
- Adoption Rate: 1 paper
- Task Allocation: 1 paper
- Employment: 1 paper
- Firm Revenue: 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 |
|---|---|---|---|
| ChatGPT Enterprise adoption has surged: aggregate output tokens rose about sevenfold between June 2025 and March 2026, driven by both new firm sign-ups and deeper use within existing adopters; uptake is concentrated in larger, R&D- and SG&A-intensive firms, while active use is widespread across job functions and tasks — particularly among early-career staff.arxiv | Neel Rakholia provider id |
2026-08-12 | 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.