Deloitte has released its 2026 State of AI in the Enterprise report, revealing that organizations across the Middle East are rapidly moving beyond AI experimentation and into enterprise-scale deployment. However, many still face significant challenges around governance, infrastructure, and workforce readiness.
Drawing insights from more than 3,200 business and IT leaders across 24 countries, with specific findings reflecting the rapidly shifting AI landscape in the Middle East, the report explores how AI is evolving from a productivity tool into a transformative business capability in the region, while also highlighting the widening gap between organizations experimenting with AI and those fundamentally redesigning their businesses around it.
According to the report, enterprise AI access in the region expanded by 50% over the past year, with sanctioned AI tool access growing from fewer than 40% of workers to nearly 60%. At the same time, organizations are increasingly moving AI initiatives from pilot phase into production, with 54% expecting to have at least 40% of AI experiments deployed into production environments within the next three to six months.
The findings suggest that Middle East organizations are entering a new phase of AI maturity that is increasingly focused on scale, operational integration, and long-term business value creation.
“Across the Middle East, organizations are moving decisively from AI curiosity into enterprise-wide activation,” said Aditi Nitin, AI & Data Leader at Deloitte Middle East. “What we are now seeing is a shift from isolated pilots toward embedding AI into the core fabric of business operations, decision-making, and customer experience. The organizations that will lead the next phase of AI adoption will not necessarily be those experimenting the fastest, but those building the right foundations around governance, talent, trust, and scalable infrastructure.”
Among Middle East respondents, the report finds that while AI is already delivering significant efficiency and productivity gains, relatively few organizations are currently using it to fundamentally reinvent their businesses. While 66% of organizations report improved efficiency and productivity from AI today, only 20% say they are currently achieving revenue growth through AI initiatives, despite 74% expecting AI-driven revenue growth in the future.
More significantly, only 34% of organizations say they are using AI to deeply transform products, processes, or business models, while 37% remain focused on surface-level productivity improvements with minimal operational redesign.
The report argues that many organizations remain trapped in a “proof-of-concept cycle,” continuously launching pilots without successfully scaling them into enterprise-wide deployment due to integration challenges, governance complexity, and infrastructure limitations.
Workforce readiness also emerged as one of the most pressing challenges facing organizations across the Middle East. Despite growing expectations around automation, 84% of organizations have not yet redesigned jobs or workflows around AI capabilities.
Instead, most organizations remain focused primarily on improving general AI literacy and employee education rather than fundamentally redesigning operating models, roles, or career pathways to support AI-enabled work environments. The report notes that insufficient workforce skills are now considered the single biggest barrier to integrating AI effectively into day-to-day business operations.
“AI transformation is ultimately a human transformation,” added Aditi Nitin. “Technology alone will not create competitive advantage. Organizations must rethink how work gets done, how teams are structured, and how employees collaborate with increasingly intelligent systems. The future belongs to organizations that combine human judgment, creativity, and leadership with AI-enabled scale and speed.”
One of the report’s most significant Middle East findings centers around the rise of sovereign AI and the growing emphasis on ensuring AI systems, data, and infrastructure operate within national or regional control frameworks. According to the research, 77% of organizations now consider the location where AI technologies are developed as an important factor when selecting vendors and platforms.
The findings highlight growing concerns around data sovereignty, infrastructure dependence, and geopolitical risk, particularly as governments and enterprises seek greater control over critical digital capabilities.
The report also identifies rapid acceleration in the adoption of agentic AI and advanced AI systems capable of autonomous reasoning, decision-making, and task execution. While only 23% of organizations currently use agentic AI to a moderate extent or greater, adoption is expected to rise dramatically over the next two years, with nearly three in four organizations expected to deploy the technology at scale.
However, governance frameworks are struggling to keep pace. Only 21% of organizations report having mature governance models for autonomous AI systems, raising concerns around oversight, accountability, and operational risk as deployment accelerates.
Data privacy and security continue to rank as the top AI-related concern among organizations globally, cited by 73% of respondents, followed by legal and regulatory compliance, governance oversight, and model reliability.
Globally, the report further highlights growing momentum around physical AI technologies including robotics, autonomous systems, and intelligent monitoring solutions. Today, 58% of organizations worldwide report using physical AI in some capacity, with adoption projected to rise to 80% within two years.
Despite growing confidence in AI’s long-term strategic value, many organizations acknowledge they remain underprepared operationally. While 42% of Middle East respondents believe their AI strategy is highly prepared for adoption, preparedness levels declined around technical infrastructure, data management, and talent readiness.
The report concludes that the next phase of enterprise AI success in the Middle East will depend less on experimentation and more on an organization’s ability to scale responsibly, redesign workflows, modernize infrastructure, and build governance frameworks capable of supporting increasingly autonomous AI systems.
You can access the full Deloitte State of AI in the Enterprise 2026 report here.
