What happened
KPMG's inaugural Global AI Pulse surveyed 2,110 C-suite and business leaders across 20 countries to understand how organizations are navigating AI's next phase. The central finding: "AI investment is accelerating but enterprise value remains uneven." The report identifies a critical shift from fragmented AI use cases to enterprise-wide orchestration—integrating systems, aligning workflows, and enabling coordinated execution at scale. What emerges is not a question of ambition, but of capability. Organizations that align operating models, governance, and workforce readiness are pulling ahead, while many others are investing without commensurate performance impact.
Why it matters
This is the first quarterly baseline for tracking AI maturity at the enterprise level globally. The orchestration gap—between adoption and performance at scale—mirrors what KPMG found in its 2026 Global AI in Finance report and signals a structural challenge for boards and C-suites: how to translate AI capability into measurable business outcomes across the organization.
Action needed
Compare your AI governance, operating model, and workforce readiness against the orchestration benchmarks. If your organization has deployed multiple AI use cases but performance remains uneven, the report's framework can help diagnose whether the constraint is integration, workflow alignment, or total workforce design.