the-state-of-enterprise-ai_2025-report

Core Insights - The report highlights the rapid scaling and deepening integration of enterprise AI, with over 1 million business customers utilizing OpenAI's tools, indicating a significant shift towards AI as core infrastructure within organizations [6][10][90] - The findings suggest that organizations leveraging AI are experiencing measurable productivity gains, with users reporting time savings of 40-60 minutes per day and improvements in various operational outcomes [10][27][28] Group 1: Enterprise AI Usage and Integration - Enterprise AI usage is accelerating, with ChatGPT message volume growing 8x and API reasoning token consumption per organization increasing 320x year-over-year, reflecting deeper workflow integration [10][17] - Custom GPTs and Projects have seen a 19x increase in weekly users year-to-date, with 20% of all enterprise messages processed via these tools, indicating a trend towards tailored, multi-step task execution [20][21] - The average reasoning token consumption per organization has increased significantly, suggesting that more intelligent models are being integrated into products and services [22][23] Group 2: Productivity and Business Impact - Seventy-five percent of surveyed workers report improved speed or quality of output due to AI, with significant time savings reported across various functions, particularly in data science, engineering, and communications [27][28] - AI is enabling workers to perform tasks they previously could not, with 75% of users reporting the ability to complete new tasks, including programming and data analysis [29][34] - The report indicates that productivity gains are materializing across core enterprise functions, with notable improvements in IT issue resolution, marketing campaign execution, and HR engagement [28][30] Group 3: Global Growth and Industry Trends - Enterprise AI growth is global, with international adoption surging, particularly in Australia, Brazil, the Netherlands, and France, which are growing faster than the global average [46][48] - The technology sector leads in growth, expanding 11x year-over-year, while healthcare and manufacturing are also rapidly closing the gap [40][39] - The report notes that the median sector has grown more than 6x year-over-year, indicating broad-based adoption across industries [36][39] Group 4: Adoption Gaps and Future Opportunities - A widening gap is emerging between organizations that effectively leverage AI and those that do not, with frontier workers generating 6x more messages than median workers [10][50] - Firms that invest in AI infrastructure and operating models are seeing deeper integration and greater organizational capability, suggesting that there is significant headroom for firms to increase their AI maturity [62][89] - The report emphasizes that as enterprise AI matures, organizations will increasingly translate AI capabilities into market-facing products and services, driving revenue growth and competitive advantage [93]