2026 Global AI Report: A Playbook for AI Leaders
Why AI strategy is your business strategy: The acceleration toward an AI-native state. Explore executive insights from 500+ AI leaders on transforming organizations.
The State of Enterprise AI in 2026
Strategic Priority
Executives say AI is critical
Economic Impact
Projected by 2030
ROI Advantage
For AI-mature orgs
Executives Surveyed
Global research base
AI Has Become Core Business Strategy
The 2026 Global AI Report reveals that artificial intelligence has moved from experimental technology to core business strategy. Based on surveys with 500+ global executives and in-depth interviews with AI leaders, this report provides a comprehensive playbook for organizations seeking to accelerate their AI journey.
Organizations that treat AI as a strategic imperative—not just a technology initiative—are seeing dramatically better business outcomes across revenue, efficiency, and customer satisfaction.
What the Research Reveals
Five critical insights from our global survey of 500+ executives across industries.
Talent Gap Widening
Organizations are investing heavily in upskilling to close the growing AI talent gap.
3.5x Revenue Growth
AI-native organizations are outperforming peers by 3.5x in revenue growth and profitability.
67% Enterprise Deployment
Two-thirds of companies have moved past pilot projects to enterprise-wide AI deployment.
AI Maturity Framework
Our research identifies four stages of AI maturity. Organizations at higher maturity levels demonstrate significantly better business outcomes, including higher revenue growth, improved operational efficiency, and enhanced customer satisfaction.
Experimenting with AI in isolated use cases
Scaling AI across multiple business units
AI integrated into core business processes
AI at the center of all strategic decisions
Five Actions That Differentiate AI Leaders
Based on our research, here are the key actions that separate AI leaders from laggards.
Treat AI as a Business Strategy
AI should be integrated into your core business strategy, not treated as a standalone technology initiative.
Invest in Data Infrastructure
Build robust data foundations before scaling AI models. Quality data is the fuel for AI success.
Build Organization-Wide AI Literacy
Develop AI understanding across all teams, not just technical staff. Everyone needs AI fluency.
Implement Responsible AI Governance
Establish ethical AI frameworks and governance from the start, not as an afterthought.
Focus on Business Outcomes
Measure success by business impact, not just technical metrics. ROI drives sustainable AI adoption.
Download the Complete 2026 Global AI Report
Access the full report including detailed methodology, industry-specific insights, implementation frameworks, and executive interview highlights.
- Complete survey methodology and data
- Industry-specific AI adoption trends
- Implementation frameworks and checklists
- Executive interview highlights
- ROI calculation templates