Enterprise
97% of UAE organizations use AI agents. Why scaling still lags
KPMG's UAE Tech Report 2026 found 97% of UAE organizations embed AI agents in their workflows, the highest rate globally. Yet only 60% expect AI at scale within a year. Here is the gap and how to close it.
KPMG’s UAE Tech Report 2026, based on a global survey of 2,500 technology leaders including 70 from the UAE, produced one headline number: 97% of UAE organizations report embedding AI agents into their workflows, products, and services. The global figure is 87%.
The UAE leads the world on integration depth. But the same report shows something more interesting underneath the headline: only 60% of UAE organizations expect AI to be deployed at scale and delivering ROI within the next twelve months.
The gap between “we use AI” and “AI works at scale” is the real story. Here is what is driving it and what separates the companies that cross it.
The gap in numbers
Three data points frame the situation.
- 97% embed AI agents in workflows, products, services, and value streams. Highest globally.
- 60% expect AI at scale with ROI within 12 months. Behind the global average of 68%.
- 40% cite system and process integration as their top collaboration barrier, well above global norms.
So UAE companies adopt deeply but scale carefully. KPMG’s reading is that this is a strategic choice, not a capability problem. The UAE runs multi-vendor, multi-jurisdictional environments, and integration is genuinely hard there.
The investment is not the constraint. Half of UAE organizations spend between $50 and $100 million a year on digital technology. No respondent reported zero or negative value realization from AI.
Why adoption is not the bottleneck
Adoption is broad because the use cases are obvious. Document review, quotation, customer service, reporting. These are the same workflows everywhere, and the AI tools for them are commodity-level now.
Scaling is a different problem. An assistant that works in one department needs to work with the CRM, the ERP, the document store, and the approval chain of the whole company. That is where the 40% integration barrier shows up. The AI is ready. The plumbing is not.
The report also flags two risk perceptions worth naming: 34% rank AI transparency as a top future concern, the highest level globally, and 32% identify IP exposure through open-source use as a current AI risk. Trust and control are the explicit price of deep integration.
What the leaders do differently
Companies that cross the gap from pilot to scale follow a pattern we see consistently:
They pick one workflow and finish it. A quotation assistant that goes end to end, from CRM to PDF, is worth more than ten half-connected assistants. The ROI that matters is the first complete one.
They fix the data first. The integration barrier is mostly a data barrier. Systems that do not share clean, current data cannot share AI agents. Data quality work is the unglamorous prerequisite.
They build human oversight into the design. The 96% of UAE organizations that say managing AI agents will be a critical workforce skill within five years are anticipating this. Agents need owners, not just operators. People who can audit what the agent did and step in when it fails.
They treat transparency as a feature. In a market where 34% of peers worry about transparency, shipping an AI product that can explain its decisions is a differentiator, not a compliance tax.
What this means for buyers and builders
For technology buyers in the UAE, the message is to resist the 97% temptation. Broad adoption without integration creates cost, not value. The companies that beat the 60% forecast will be the ones that choose one workflow, integrate it properly, and measure it.
For builders, the opportunity is the integration layer. The market is saturated with AI features and hungry for AI that works inside existing systems. Products that ship with connectors, data schemas, and audit trails will outsell products that ship with only a model.
The bottom line
The UAE’s AI adoption is real and the deepest in the world by this measure. The next twelve months will separate the companies that embedded AI agents as experiments from the companies that embedded them as infrastructure.
The pattern is consistent: start with one complete workflow, fix the data, design for human oversight, and measure ROI honestly. That is how you turn 97% adoption into something you can point to on a balance sheet.