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      Scaling AI value: Why capability is defining the next phase

      AI investment is accelerating but enterprise value remains uneven. How organizations align operating models, governance and workforce readiness will define the next phase of advantage.

      KPMG’s inaugural Global AI Pulse draws on insights from more than 2,100 senior leaders across 20 countries, territories and jurisdictions, to understand how organizations are navigating AI’s next phase. What’s emerging is not a question of ambition, but of capability. For many organizations, the challenge lies in orchestrating AI across the enterprise, integrating systems, aligning workflows and enabling coordinated execution at scale.

      From ambition to execution across Middle East organizations

      Organizations in the Middle East are moving in step with a global shift where artificial intelligence is no longer viewed as a standalone innovation initiative, but as a core enterprise capability. The AI Pulse highlights that the defining challenge is now execution, embedding AI into day-to-day operations, aligning it with business priorities, and enabling it to function across workflows. This reflects a broader transition from experimentation toward operationalization, where success depends on how effectively AI is integrated into the organization’s operating model.

      The shift toward orchestrated and agent-driven AI systems

      A key trend shaping AI adoption across markets is the move toward orchestrated, agent-driven systems that operate across functions rather than within silos. Middle East organizations are part of this shift, where scaling AI requires connecting technologies, integrating decision-making processes, and enabling AI to work across end-to-end business activities. This evolution signals a more mature phase of AI adoption, where organizations are rethinking how work is structured and delivered to unlock sustained performance and long-term value.


      The real AI divide is no longer between those experimenting and those not. It is between those redesigning how the enterprise works and those still layering AI onto broken ways of working. Meaningful value will come only when AI is embedded into decision-making, execution and governance throughout the enterprise.

      Mazhar Hussain

      Partner, Technology

      KPMG Middle East

      Maz

      Key highlights





      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.

      Executive summary

      Learn what leading organizations are doing to effectively embed AI enterprise-wide.

      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.

      Our people

      Robert Ptaszynski

      Partner, Head of Digital and Innovation

      KPMG Middle East

      Mazhar Hussain

      Partner, Technology

      KPMG Middle East

      Shane Groeger

      Partner, Technology

      KPMG Middle East

      Maher Kilani
      Maher Kilani

      Partner - Data analytics and AI

      KPMG Middle East