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      Scaling AI value: Why capability is defining the next phase

      AI investment is rapidly increasing, but its benefits are not evenly realized across organizations. The key challenge is not ambition but the ability to effectively implement AI at scale. Companies need to align their operating models, governance, and workforce readiness to succeed.

      According to KPMG’s Global AI Pulse (based on 2,100+ leaders across 20 regions), organizations must focus on integrating systems, coordinating workflows, and enabling enterprise-wide execution. The report provides both general insights and sector-specific strategies for leveraging AI effectively.

      Key highlights from our global research

      Value is emerging but not uniform

      AI pulse metric

      Organizations with established AI ROI.

      Execution remains the bottleneck

      54%

      remain in the early stages of their AI journey.

      26%

      Organizations advancing toward multi-agent or coordinated AI systems.

      Performance is concentrated

      How far along are Tunisian companies in their AI transformation journey?

      Tunisian companies are at an early-to-intermediate stage in their AI transformation journey—showing strong interest and growing experimentation, but still limited large-scale, mature adoption.

      • Although 86% of firms see technology as a driver of innovation, only 19% actually innovate, highlighting a major implementation gap.
      • Many firms lack the capabilities to move from experimentation to scalable AI deployment.

      Explore what executives are saying about orchestrating AI at scale

      The Global AI Pulse: Q1 2026 report examines a critical shift underway, toward AI orchestration, offering early insight into how leading organizations are moving from fragmented AI use cases to orchestrated, enterprise-wide capability.

      In the full report, you’ll discover: 

      • The gap between AI investment and enterprise value, and why impact remains uneven across organizations 
      • What leading organizations do differently, and how they are beginning to operationalize AI at scale 
      • The shift from isolated use cases to coordinated, agent-driven systems across the enterprise 
      • The role of governance and trust in enabling AI to scale responsibly 
      • The workforce capabilities required to embed AI into day-to-day decision-making and execution 
      • What it takes to orchestrate AI across systems, workflows, and functions to deliver repeatable, enterprise-level outcomes
      • The sector and regional realities of scaling AI

      Global AI Pulse: Q1 2026 report

      Discover how organizations move beyond AI deployment to orchestration, seamlessly integrating it into their operations.

      Download the report

      About the research

      The KPMG Global AI Pulse is a quarterly global study capturing the perspectives from 2,110 C-suite and business leaders representing organizations in 20 countries, territories and jurisdictions. The research looks at AI adoption, challenges, and impact, providing timely insights to help leaders track how AI is evolving across industries and regions.

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