Deloitte AI Institute's "State of AI in the Enterprise 2026" report captures a pivotal moment in enterprise AI adoption. This annual research, conducted between August and September 2025 with over 3,200 executives from 24 countries, documents how organizations are transitioning from the pilot and experimental phase toward scalable AI implementation at the core of their operations.
The document reveals that worker access to AI tools has expanded by 50% in just one year, growing from fewer than 40% to around 60% of the workforce with sanctioned access. However, fewer than 60% of those with access use it daily, indicating untapped potential. Additionally, only 25% of organizations have moved 40% or more of their AI experiments into production, though 54% expect to reach that level in the next three to six months.
The report distinguishes three levels of AI transformation: 34% of companies are using AI to deeply transform their businesses, creating new products and business models; 30% are redesigning key processes while keeping their business models intact; and 37% are using AI superficially with little or no change to underlying processes. Despite high expectations for automation, 84% of companies have not yet redesigned jobs or the nature of work itself around AI capabilities, with insufficient worker skills identified as the main barrier to integrating AI into existing workflows.
Three emerging trends are redefining the future: Sovereign AI, where 77% of companies consider the country of origin of solutions as a key factor; Agentic AI, with 74% of organizations planning to implement it within two years but only 21% having mature governance models; and Physical AI, with 58% already using it and 80% adoption projected within two years.
The document is aimed at business leaders, technology executives, innovation directors, and strategic decision-makers seeking to understand how to capture AI's full value, bridge the gap between experimentation and real transformation, and prepare their organizations for the next waves of innovation in agentic, physical, and sovereign AI.
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