Agentic AI is rapidly becoming a major part of business operations in the United Arab Emirates, with new research identifying the country as a global leader in the deployment of AI agents across enterprises.
The findings come from Dataiku’s “Global AI Confessions” research, conducted by Harris Poll across eight international markets. The study found that UAE organisations have the highest reported proportion of AI agents operating in production, highlighting the country’s rapid adoption of autonomous and semi-autonomous artificial intelligence systems.
According to the research, 62 per cent of UAE chief information officers (CIOs) estimate that their organisations have more than 50 AI agents actively running in production. The scale of deployment becomes even more significant at the upper end, with 15 per cent of UAE respondents reporting that their organisations operate more than 500 AI agents.
That figure represents the highest proportion among the eight markets surveyed and compares with a global average of 9 per cent.
The findings underline the speed at which UAE businesses are moving from experimenting with artificial intelligence to deploying AI agents within everyday business processes. Unlike conventional AI applications that typically provide information or recommendations, agentic AI systems can perform tasks, interact with applications, use data and execute actions according to predefined objectives and permissions.
For UAE enterprises, this expansion is also creating demand for specialised technical expertise capable of developing, managing and governing increasingly complex AI environments.
Investment in AI expertise
The research indicates that UAE organisations are not simply increasing the number of AI agents they deploy. They are also investing in people and specialist capabilities to support the expansion.
Among CIOs whose organisations are creating or planning embedded roles for AI experts or forward engineers, 22 per cent expect to recruit more than 10 people over the coming year. According to the study, this is the highest proportion among the countries and markets included in the research.
The recruitment plans reflect the growing operational requirements associated with agentic AI. As organisations move from individual AI tools towards networks of agents working across multiple systems, companies need employees capable of managing deployment, security, data access, governance, monitoring and performance.
Florian Douetteau, CEO and co-founder of Dataiku, said the research showed that UAE CIOs were deploying AI agents at a scale that relatively few markets had reached.
However, the research also identified an important challenge: the ability of organisations to detect AI-agent activity does not necessarily mean they have the ability to control or stop that activity across their entire technology environment.
The containment challenge
As AI agents become embedded across organisations, they can operate across different applications, platforms and data environments. This creates a more complicated governance environment for CIOs and technology teams.
Dataiku’s research found that only 18 per cent of UAE CIOs reported having a fully unified view of their AI agents across different environments.
At the same time, just 12 per cent said that agent lifecycle management was standardised throughout their organisation.
The gap between detection and control could become increasingly important as businesses expand their use of agentic AI.
An organisation may be able to identify an AI agent operating within one system, for example, but may not have the same visibility into another application or business environment. Without a unified system for monitoring and controlling agents, an AI agent could potentially continue operating in another environment before technology teams are able to intervene.
This makes governance an increasingly important component of enterprise AI strategies.
The challenge is not limited to identifying which agents exist. Organisations also need to establish who created each agent, what data it can access, which systems it can interact with, what actions it is authorised to take and how quickly it can be disabled if necessary.
Dataiku executives have therefore highlighted rapid containment as an important next step for organisations seeking to scale agentic AI safely.
Board pressure for measurable AI returns
The rapid expansion of AI deployment in the UAE is also occurring amid growing pressure from corporate boards to demonstrate measurable returns from artificial intelligence investments.
The Dataiku research found that 100 per cent of UAE CIOs surveyed reported greater board pressure to demonstrate measurable AI return on investment compared with 2025.
The finding illustrates how the conversation around artificial intelligence is moving beyond experimentation and technology adoption towards measurable business outcomes.
Companies are increasingly expected to demonstrate how AI contributes to productivity, efficiency, revenue generation, customer service, cost reduction or other clearly defined business objectives.
For CIOs, this means that simply increasing the number of AI agents within an organisation may not be sufficient. Businesses will increasingly need to understand whether those agents are delivering measurable value while remaining within appropriate operational and security boundaries.
The UAE’s expanding AI ecosystem
The research adds to the UAE’s broader push to establish itself as a major global centre for artificial intelligence, digital infrastructure and emerging technologies.
The country has invested heavily in AI capabilities across government and the private sector, while businesses have increasingly incorporated AI into areas ranging from financial services and logistics to healthcare, customer service and enterprise operations.
The emergence of agentic AI represents another stage in this development.
Rather than relying exclusively on human employees to initiate every step of a digital workflow, AI agents can increasingly be assigned objectives and allowed to execute multiple tasks within defined parameters.
For enterprises, this could create opportunities to automate complex workflows that previously required employees to move between multiple applications and systems.
However, greater autonomy also increases the importance of governance.
As agents gain the ability to take actions rather than simply generate information, mistakes or unauthorised activity could have direct operational consequences. This makes visibility, access controls, monitoring and intervention mechanisms increasingly important.
Building the next stage of agentic AI
Sid Bhatia, Area Vice President and General Manager for the Middle East, Turkey and Africa at Dataiku, said the UAE had established a strong foundation for agentic AI, pointing to the scale of enterprise deployment, investment in specialist expertise and efforts to prevent AI-agent incidents from causing real-world harm.
According to Bhatia, the next stage will involve connecting safeguards across the enterprise.
This includes giving CIOs a unified view of their organisation’s AI-agent population, establishing clear authority over what individual agents are permitted to do and ensuring that organisations can intervene quickly regardless of where an agent was developed or which system it operates within.
Such capabilities could become increasingly important as enterprises move towards larger and more interconnected AI environments.
A unified approach could allow businesses to maintain central oversight while individual departments continue developing AI solutions for specific operational needs.
For example, a financial institution could have separate AI agents supporting customer service, compliance, fraud detection and internal operations. While each agent may have a distinct function, enterprise-level governance would allow the organisation to monitor them collectively and establish common rules for access, security and intervention.
Why the UAE’s lead matters
The UAE’s position in the Dataiku research reflects the country’s rapid transition from AI experimentation towards large-scale enterprise deployment.
The fact that 62 per cent of surveyed UAE CIOs reported more than 50 AI agents in production indicates that autonomous AI is already moving into mainstream business operations for many organisations.
At the same time, the comparatively small proportion of organisations reporting fully unified visibility and standardised lifecycle management highlights the complexity of scaling the technology.
The next phase of AI adoption is therefore likely to focus not only on increasing the number of agents but also on improving how organisations manage them.
For UAE businesses, the challenge will be to maintain the pace of innovation while developing the infrastructure, expertise and governance mechanisms required to support increasingly autonomous systems.
As agentic AI becomes more deeply integrated into business processes, the ability to monitor, manage and rapidly intervene in AI-driven operations could become as important as the ability to deploy the technology itself.
The latest research suggests that the UAE has already established significant momentum in agentic AI deployment. Its next challenge will be ensuring that this rapid expansion is supported by enterprise-wide visibility, specialist talent, clear accountability and effective controls.
With board expectations for measurable AI returns also increasing, UAE organisations are likely to face growing pressure to demonstrate that their expanding AI-agent ecosystems can deliver tangible business value while remaining secure, transparent and controllable.
