The State of Enterprise AI 2025 report shows that organisations worldwide are moving past siloed AI trials and embedding AI into core operations.
Enterprise AI has moved past its trial phase and into a period of decisive adoption. According to The State of Enterprise AI 2025 report, organizations worldwide are no longer treating AI as a set of isolated pilots or productivity experiments. Instead, AI is increasingly embedded into daily workflows, products, and decision-making systems, signaling a fundamental shift in how enterprises operate.
The evidence is clear: usage is scaling rapidly, productivity gains are measurable, and firms that integrate AI more deeply are pulling ahead. At the same time, the report highlights a widening gap between enterprises that have operationalised AI effectively and those still struggling to move beyond surface-level adoption. For CIOs and business leaders, the findings point to an urgent need to focus on execution, integration, and organizational readiness.
Usage Is Scaling and Getting Deeper
Enterprise AI adoption is accelerating rapidly in both scale and intensity. Chat-based AI usage has grown eightfold year-on-year, while API-driven reasoning workloads per organization have increased more than 300 times. The growing adoption of Custom GPTs, Projects, and API integrations signals a clear transition toward repeatable, multi-step workflows where AI functions as a persistent, embedded capability rather than an occasional assistant.
Productivity Gains Are Real and Expanding Capabilities
AI is already delivering measurable business impact. Nearly 75% of enterprise users report improvements in speed or quality of work, saving an average of 40–60 minutes per active day. More significantly, AI is reshaping who performs technical work. Employees in non-technical roles are increasingly handling tasks such as data analysis, coding support, and workflow automation—blurring traditional skill boundaries across the enterprise.
Adoption Is Global, but the Gap Is Widening
AI adoption is accelerating across regions and industries. Technology, finance, and professional services continue to lead in scale, while healthcare and manufacturing are emerging as the fastest-growing adopters. At the same time, a widening divide is becoming apparent. “Frontier” workers and organizations use AI far more intensively and derive disproportionately higher returns, highlighting significant untapped potential for less mature enterprises.
The True Constraint Is Organizational Readiness
The report underscores a critical reality: AI’s primary bottleneck is no longer technology, but execution. Organizations that invest in integration, governance, leadership alignment, and change management are successfully translating AI into sustained productivity gains and competitive advantage. Those that fail to do so risk falling irreversibly behind in an increasingly AI-first economy.