The State of AI in the Enterprise - 2026 AI report | Deloitte US

The "State of AI in the Enterprise 2026" report by Deloitte's Global AI Institute offers a comprehensive analysis of AI adoption and its scaling within organizations globally. Based on a survey of over 3,200 business and IT leaders across various countries and industries, the report identifies a pivotal moment where companies are shifting from experimental AI projects to more widespread implementation. The research indicates a significant expansion in workforce access to AI tools, growing by approximately 50% in the last year, with around 60% of employees now having sanctioned access. However, a notable finding is that fewer than 60% of these individuals utilize the tools regularly in their daily workflows, suggesting a considerable amount of untapped potential. Only a quarter of organizations have successfully transitioned 40% or more of their AI experiments into production, though a majority anticipate reaching this level within the next three to six months. Regarding the depth of AI transformation, the report categorizes organizations into three groups: 34% are using AI to profoundly transform their businesses, 30% are redesigning key processes, and 37% are employing AI at a more superficial level without significant changes to existing operations. While AI consistently delivers benefits in efficiency and productivity, reported by 66% of organizations, achieving revenue growth through AI initiatives remains an aspiration for 74%, with only 20% currently realizing it. The report also highlights critical challenges, particularly in governance, where only 21% of organizations possess a mature governance model for autonomous agents, despite a projected surge in their adoption. Furthermore, the concept of sovereign AI is gaining importance, with 77% of companies factoring a solution's country of origin into their vendor selection decisions. Ultimately, the report emphasizes that maximizing AI's potential requires more than just access; it demands a proactive approach involving work redesign, robust governance, and strategic alignment of AI with human capabilities.