What happened
Deloitte surveyed 3,235 senior executives across 24 countries and six industries to assess enterprise AI adoption and impact. The report's central finding is that "success hinges on the ability to move boldly from ambition to activation." "66% of organizations report gains" in productivity and efficiency from enterprise AI adoption, and agentic AI is expected to have the highest impact in customer support, with supply chain management, R&D, knowledge management, and cybersecurity also seen as high-potential use cases. However, the report reveals a significant activation gap: while AI access is higher than ever, fewer than 60% of workers with access use AI in their daily workflow—a figure that has not changed year over year. The report divides the market into thirds: 34% reimagining, 30% redesigning, and 37% at surface-level adoption, with 84% of companies having not yet redesigned work around AI.
Why it matters
Enterprise AI adoption is broadening faster than enterprise AI integration. This survey quantifies the transformation gap: access does not equal activation, and activation does not equal value realization. Executives can benchmark their own adoption maturity against the three-tier taxonomy (reimagining / redesigning / surface-level) and identify whether governance, work redesign, or use-case selection is their binding constraint.
Action needed
CEOs and CHROs should classify their organization's AI maturity tier (reimagining / redesigning / surface-level) and establish Q3 milestones for moving redesign work beyond pilot status.