As planned investment rises, organizations are looking at what AI at scale demands. The question is whether organizations can govern where their models come from, secure what those models can reach, orchestrate how they are used and account for what they cost.
KPMG’s Q3 Global AI Pulse is based on a survey of more than 2,100 senior leaders across 20 countries, territories and jurisdictions, points to how the competitive advantage is shifting from adoption to running AI effectively.
Among organizations reporting established ROI, 86 percent operate either a formal cross-functional or enterprise-wide AI management layer, including 65 percent that have deployed it across the enterprise. By comparison, 31 percent of organizations at the experimentation stage report a formal cross-functional or enterprise-wide layer, including 10 percent operating enterprise-wide.
Learn how organizations are successfully managing AI at scale.
The KPMG Global AI Pulse is a quarterly global study capturing perspectives from 2,131 senior leaders representing organizations across 20 countries, territories and jurisdictions. The research examines AI adoption, maturity, governance, investment, challenges and business impact, providing timely insights to help senior leaders understand how AI is evolving across industries and regions. Findings for Q3 2026 were collected between 23 July and 26 August 2026.
Global Head of aIQ, KPMG International, AI Lead for the Americas region, and Principal
KPMG in the U.S.
