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AI · 25 August 2026

UAE among 'most ambitious' AI markets, new report highlights

The UAE's governance and investment in AI have created ripe conditions for businesses to make the most of the technology, a report says. ServiceNow , the enterprise software company, detailed its latest findings about how businesses, organisations and enterprises are using AI in its Enterprise AI Maturity Index. “The UAE remains one of the world’s most ambitious AI markets and the government’s long-term strategy and regulatory leadership have given organisations a genuine head start,” said Saif Mashat, vice president for the Middle East and Africa at ServiceNow. Mr Mashat, however, cautioned that it was not enough for entities to simply invest in AI. "The ones pulling ahead are moving from AI pilots to AI orchestration, connecting legacy systems, data, governance and AI agents in one control tower," he added. The ServiceNow analysis showed that the UAE made a 13-point improvement on its AI maturity score. "The research shows many organisations are still trying to layer AI on to fragmen

Newsdesk
Curated briefing · 3 min read

What happened

Enterprise software firm ServiceNow has published its latest Enterprise AI Maturity Index, identifying the UAE as one of the world's most advanced markets for artificial intelligence adoption. The report finds that the country's AI maturity score has risen by 13 points, a shift ServiceNow attributes to sustained government strategy and regulatory direction on AI over recent years.

Saif Mashat, ServiceNow's vice president for the Middle East and Africa, said the UAE's long-term approach to AI governance and investment has given local organisations a "genuine head start" relative to global peers. However, he cautioned that simply spending on AI tools is not sufficient: the organisations pulling ahead, he said, are those moving beyond isolated pilots toward what he termed "AI orchestration" — linking legacy systems, data and governance frameworks with AI agents under a single control layer.

The index also flags a broader gap in the market: many organisations, according to ServiceNow's research, are still attempting to bolt AI capabilities onto fragmented, siloed technology estates rather than redesigning the underlying architecture to support it.

Why it matters

This is fundamentally a story about the shift from AI experimentation to AI operations. A growing body of evidence — this index among it — suggests that national or organisational AI ambition is no longer measured by how many pilots are running, but by how well disparate systems, data sets and governance rules are stitched together so AI agents can act reliably across an enterprise. That reframes the leadership conversation: the bottleneck to AI value is less about model capability and more about integration, data readiness and control.

For public- and private-sector leaders in the UAE and wider GCC, the finding reinforces that policy and regulatory clarity can compound into a genuine operational advantage — but only if enterprises use that clarity to consolidate rather than multiply their AI initiatives. Digital transformation leaders elsewhere should read the UAE's trajectory as a signal of what "AI maturity" will increasingly mean: orchestration and governance, not just deployment.

By the numbers

  • 13-point improvement in the UAE's AI maturity score, according to ServiceNow's Enterprise AI Maturity Index.

The Renascence take

The detail most likely to be skipped over is the warning buried inside the good news: a favourable regulatory environment creates the conditions for maturity, but it does not manufacture it. Plenty of organisations with strong national tailwinds still end up with AI scattered across departments, disconnected from the data and legacy systems that make it useful in practice.

Ambitious national AI policy is a permission structure, not a strategy — it tells organisations they're allowed to move fast, but says nothing about whether they're moving in a coherent direction. The behavioural risk here is classic pilot-itis: teams chase visible, fundable AI experiments because pilots are easy to greenlight and easy to showcase, while the harder, less glamorous work of unifying data and governance gets deprioritised. A genuinely customer- and employee-obsessed operator should treat this index as a prompt to audit how many AI initiatives currently run in parallel without a shared data or governance backbone, and to consolidate before adding another one.

Sources

This briefing was written by our Newsdesk, synthesising reporting from the outlets below. Follow the links for the original coverage.

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