High-precision automation replaces big agents
Companies' dreams of universal AI agents fade as reality approaches. An MIT study found that 95% of widespread AI deployments deliver no real value, prompting a course correction. In 2026, there will be a focus on narrowly focused automation of tasks such as finance, procurement, and support.
Targeted agents integrate into existing systems and provide faster returns than large-scale rebuilds. This pragmatic shift prioritizes defensible impacts and allows businesses to automate pain points without disrupting operations.
Business takes control of AI
Regional research supports this shift, with 69% of Middle Eastern companies planning to increase their AI spending next year. Confidence increases when people who understand the day-to-day challenges drive adoption and ensure tools fit operational realities.
Data professionals embrace realism
Chief data and analytics officers are redefining their mission. The quest for the perfect data ecosystem is over. 2026 will require progress using available resources. Leaders prioritize rapid insight over perfect preparation, moving from “fix first” to “deliver now.”
This evolution accelerates testing and scaling, allowing business units to unlock value without endless cleanup. Practical CDAO closes data gaps to drive decision-making and proves that results matter more than architecture.
Mission-driven squads take the lead
Large AI teams will be replaced by compact specialized units tackling high-impact incidents. These teams bring together business experts, data experts, and engineers to work on agent and complex AI projects tied to core needs.
According to data from Alteryx, 9 out of 10 respondents in the Middle East believe that AI has helped transform work in the last year, and 94% of global analysts are developing strategy. UAE initiatives such as the 1 Million AI Talent Program will build talent pools for these agile groups and enable rapid execution.
Execution is better than experimentation
Next year, accuracy will be more important than promises. Empowered departments, pragmatic data strategies, and focused teams will enable organizations to harness the full potential of AI as global adoption accelerates.
