When 92% of organizations signal plans to deploy AI agents, the question is no longer whether AI will scale in the UAE, but how quickly enterprise systems will adapt to support it. Cisco’s latest UAE findings in its ‘AI Readiness Index 2025‘ show that 41% of organizations expect those agents to begin operating alongside human employees within the next year.
Taken together, the numbers describe more than early experimentation. They point to a market preparing to normalize autonomous systems within core business workflows, moving beyond trial adoption into operational integration.
This shift is showing up directly in investment priorities. Eighty-six percent of respondents report growing urgency to prove AI’s return on investment, a pressure that is translating into real budget alignment: 74% of organizations now rank AI among their top IT spending priorities. AI is no longer competing for discretionary innovation funding; it is drawing from the same capital pool reserved for critical enterprise systems.
Cisco Gulf and Levant Managing Director Abdelilah Nejjari describes the moment as a move away from basic interfaces toward agentic systems capable of independently executing complex tasks. That evolution is being supported at the organizational level: 64% of companies now report having defined AI strategies in place, signaling structured commitment rather than exploratory deployment.
Ambition, however, is driving parallel demands on physical infrastructure. More than half of UAE organizations (51%) are planning investments in new data-center capacity within the next 12 months. The signal mirrors a broader global reality: adopting AI software delivers little value without sufficient compute behind it. Enterprise readiness is increasingly shaped by power availability, cooling capacity, secure networking, and deployment density, considerations now carrying as much strategic weight as model selection itself.
Despite this progress, operational maturity remains uneven. While 23% of organizations report that their AI use cases are finalized, only 17% say they operate under a mature, repeatable innovation process. The gap highlights a familiar challenge: pilots may be widespread, but institutional systems capable of sustaining continuous rollout are still under development.
Where AI has reached everyday use, the impact is tangible. Fifty-five percent of firms are applying AI to operational efficiency, including predictive maintenance, intelligent automation, energy management, supply-chain optimization, and quality control. These deployments are producing measurable gains, with 69% reporting improvements across productivity, profitability, and innovation. AI, in effect, is shifting from a strategic aspiration to a documented performance driver.
Security preparedness is advancing alongside deployment. Fifty-four percent of organizations report high awareness of AI-specific threats, while 31% now integrate AI directly into security and identity systems. Forty-two percent say they are equipped to control and secure AI agents, and 47% actively use AI to support threat detection, response, and recovery. These responses reflect growing recognition that scaled autonomy expands the threat surface, making embedded security foundational rather than optional.
Workforce readiness remains a constraining factor. Only 38% of organizations believe they possess sufficient in-house AI talent to support long-term deployment, a skills gap that could slow implementation even as capital investment accelerates.
Cisco’s introduction of the concept of “AI Infrastructure Debt” sharpens this tension. Most organizations expect AI workloads to grow by more than 30% within three years, yet many acknowledge limitations in data centralization and AI-threat detection. Deferred upgrades and underfunded architecture may enable short-term scaling, but they also accumulate systemic risk, vulnerabilities that often surface only when operational complexity rises.
Viewed collectively, Cisco’s UAE findings depict a market at an inflection point. Adoption is broad, infrastructure investment is gathering pace, and real returns are already emerging, yet organizational readiness remains uneven. The sustainability of UAE AI growth will be determined by whether workforce development and infrastructure modernization receive the same priority as software deployment.
