OpenAI’s 2025 look at how AI is changing work
OpenAI’s December 8, 2025 report examines how AI is being integrated into large organizations and what that integration means for productivity, workflows, and competitive gaps. The analysis combines deidentified, aggregated real‑world usage data from enterprise customers with an OpenAI survey of 9,000 workers across almost 100 enterprises, producing a set of benchmarks for adoption and impact.
Adoption is expanding in breadth and depth
Enterprise use of ChatGPT Enterprise has climbed sharply: weekly messages are up roughly 8× year‑over‑year, while the average worker sends about 30% more messages. Interaction patterns show a shift away from ad‑hoc queries toward repeatable processes—Projects and Custom GPTs usage increased 19× year‑to‑date. Most striking is the rise in analytic and model-driven activity: reasoning token consumption per organization rose roughly 320× in the past 12 months, indicating deeper integration of intelligent models into products and services.
Growth across industries and geographies
AI adoption is broad: technology, healthcare, and manufacturing lead in growth rate, while professional services, finance, and technology operate at the largest scale. Several international markets posted rapid expansion—Australia, Brazil, the Netherlands, and France each recorded more than 140% year‑over‑year customer growth. On the API side, international customer growth exceeded 70% over six months, and Japan has the largest number of corporate API customers outside the U.S.
Reported worker impact and time savings
Workers report measurable benefits from workplace AI: 75% of surveyed employees say AI improved either the speed or quality of their output. Reported time savings cluster in the 40–60 minutes per day range on average, with heavy users saving over 10 hours per week. Departmental outcomes include:
- 87% of IT workers report faster IT issue resolution.
- 85% of marketing and product users report faster campaign execution.
- 75% of HR professionals report improved employee engagement.
- 73% of engineers report faster code delivery.
The data also shows that AI is enabling new activities: 75% of users report being able to complete tasks they previously could not, and coding‑related messages rose 36% among workers outside technical roles.
Frontier users and firms are pulling ahead
The report highlights a widening gap between high‑usage “frontier” actors and the median. Frontier workers (95th percentile) send about 6× more messages than the median, while frontier firms send roughly 2× more messages per seat and integrate AI more deeply across teams. Time savings grow as users consume more advanced intelligence and apply it across diverse tasks.
Implementation and outlook
Feature cadence is rapid—OpenAI introduces new features roughly every three days—so the chief barriers for organizations are increasingly about organizational readiness and implementation, rather than raw model capability. The full report provides benchmarks and practical observations aimed at helping organizations move from experimentation to broader, durable deployment.
Read the full report (PDF): https://cdn.openai.com/pdf/7ef17d82-96bf-4dd1-9df2-228f7f377a29/the-state-of-enterprise-ai_2025-report.pdf
Original source: https://openai.com/index/the-state-of-enterprise-ai-2025-report/
