The State of AI in the Enterprise — 2026
Summary
Deloitte's 2026 global survey of 3,235 senior leaders across 24 countries reveals that while organizations are seeing measurable productivity gains from AI, governance and talent remain the biggest barriers to enterprise-scale adoption. The report evaluates AI readiness across technical infrastructure, data management, governance, and workforce capabilities, highlighting the need for balanced investment beyond technology alone.
Key Insights
- Survey covers 3,235 senior leaders across 24 countries.
- AI readiness is measured across four dimensions: technical infrastructure, data management, governance, and talent.
- Technical infrastructure: 43% of organizations report readiness.
- Data management: 40% report readiness.
- Governance: 30% report readiness, showing oversight continues to lag technology adoption.
- Talent: 20% report readiness, making workforce capability the weakest area.
- 66% of organizations report productivity gains from AI initiatives.
- Only 34% say they are fundamentally rethinking how their business operates because of AI.
About the Author
Dr. Aliya Nur Balisani
Chief AI Officer and former NVIDIA AI Consultant specializing in enterprise AI strategy and digital transformation.
Dr. Aliya Nur Balisani is an AI leader focused on helping organizations adopt artificial intelligence in practical and profitable ways. With experience in enterprise AI strategy, automation, and emerging technologies, she provides insights on generative AI, autonomous systems, business transformation, and the future of intelligent enterprises.