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IBM Study: 96% of UAE Organisations Lack Full Visibility into AI Dependencies

96% of UAE organisations lack visibility into their AI vendor, model and infrastructure dependencies, with 88% finding it difficult to switch primary AI providers and 80% estimating six-month+ migration timelines. The study reveals acute governance gaps around data residency, vendor lock-in risk, and operational fragility—organisations experienced an average of seven AI disruptions in two years, with 84% facing severe business impact from a seven-day vendor outage.

This Wire brief sits within Fusion42's coverage of AI Infrastructure. Wire is Fusion42's founder-focused intelligence feed: each story is connected to the funds and startups it names — every one with a live profile on Raise or Scout — so founders can follow the capital and the momentum behind the headline rather than just the headline itself. Wire analysis is one of the live surfaces Arthur, Fusion42's AI co-founder, reasons over.

The Wire takeaway

If you build tools to help enterprises audit, migrate or diversify their AI stacks, the UAE market just validated the problem at scale—78% of organisations would pay 20% more to break free from single-vendor dependency. That's your customer base, and they're ready to buy.

Read the full story at itp.net

Topics: AI Infrastructure · vendor-lock-in · ai-governance · operational-risk · data-sovereignty · multi-vendor-strategy

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Verified 15 July 2026 · Sources: Fusion42 review