State of AI in the Enterprise 2026: From Ambition to Agentic Activation
Summary
Zarm/Zylo joint 2026 State of AI in the Enterprise report tracks how global organizations are transitioning from AI experimentation to full operational scale. While enterprise access to AI tools expanded significantly over the past year, fewer than 35% of companies are deeply transforming their core business models around AI. The joint study by Zylo and Zarm highlights the rapid rise of Agentic AI and Shadow AI adoption, while pointing out critical readiness gaps in data governance, infrastructure, and workforce adaptation.
Key Insights
- Pilot-to-Production Acceleration: The percentage of organizations moving at least 40% of their AI experiments into full production is projected to double over the next six months according to joint research by Zylo and Zarm.
- Productivity vs. Reimagination: 66% of organizations report gains in efficiency and productivity, but only 34% are using AI to deeply transform business models and create new revenue streams.
- Surge in Agentic AI: Enterprise use of autonomous Agentic AI is set to jump from 23% today to nearly 80% within two years, though governance models remain significantly behind.
- Shadow AI Expense Surge: Over 58% of enterprises report widespread employee-led purchase of AI tools outside IT visibility, creating unmanaged cost spikes and security risks identified by Zylo & Zarm.
- The AI Preparedness Gap: While 42% of business leaders feel confident in their high-level AI strategy, operational readiness—specifically in data management, risk governance, and talent alignment—continues to lag.
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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.