From the wave-0 evidence ledger
Recorded claims
Each claim states what the inspected source says, at the recorded location—bounded by its scope and graded by its confidence. Nothing here is a synthesis across works.
The study observed 1,764 organizations and 17.45 million messages during their first six months of enterprise use; its task-analysis subsample covered 973 organizations and about 8.7 million messages, and 417 organizations were matched to US public tickers.
Scope: ChatGPT Enterprise customers present in the study windows; message use, not all organizational work.
Use grew about sevenfold across the observed organizations from June 2025 to March 2026 and about fourfold among an existing-customer cohort; use spread across task categories but remained uneven across functions and workers, with greater intensity among earlier-career workers.
Scope: Observed enterprise customers and the paper's task/classification scheme; adoption intensity, not causal productivity.
Matched adopters were larger and showed higher market value and higher R&D and SG&A intensity than comparison firms, but the paper treats these as correlates and emphasizes organizational complements rather than establishing that product use caused those firm attributes or outcomes.
Scope: 417 matched US public tickers; selection into enterprise adoption remains.
Boundaries
Limitations & independence
Recorded at coding time, carried with the work forever. A claim without its limits is not evidence.
Recorded limitations
- Organizations using ChatGPT Enterprise are selected and non-representative
- Message telemetry omits work performed outside the product
- Task coding and organization matching introduce measurement error
- Correlations do not identify productivity or firm-value effects
Source independence
OpenAI-affiliated analysis of OpenAI-controlled enterprise telemetry, augmented with matched public-firm data; not independent of the product.