Dubai-Based Gulamaly Hussain on Why GCC Businesses Must Rethink AI Investment Returns

The next test for artificial intelligence is not whether it can impress a boardroom. It is whether the numbers survive the boardroom.

By Gulamaly Hussain | Dubai, UAE

An AI demonstration can be convincing in ten minutes. The investment case is harder. A system that drafts documents in seconds, forecasts demand or handles customer queries may well improve a business. But what happens when the pilot becomes an enterprise-wide contract, the data needs rebuilding and the monthly usage bill arrives? That is when enthusiasm gives way to finance.

This matters to companies in Dubai and across the GCC that are investing in automation while also financing expansion, infrastructure, talent and acquisitions. The question is not whether artificial intelligence belongs in business. It is whether each proposed deployment deserves capital ahead of those alternatives.

The spending boom makes a financial test unavoidable

In September 2026, Gartner forecast worldwide AI expenditure of about $2.7 trillion for the year, up 49.5% from 2025. The estimate covers the global market, including substantial infrastructure spending; it is not a figure for GCC corporate budgets. Still, its scale is a reminder of how rapidly businesses are being asked to commit money to AI-related capabilities.

For an investment committee, a large market is not an investment thesis. Management needs to say which costs will disappear, which revenues might improve and how much of the projected benefit will remain after implementation and ongoing charges. A productivity improvement is not automatically a saving. If a team works faster but headcount, revenue and output remain unchanged, the cash-flow benefit may be limited.

The overlooked bill is rarely the software licence

Consider a bank or service business seeking to automate part of its customer operations. The early calculation might compare the software fee with staff hours saved. A credible calculation also includes data preparation, integration with existing systems, model supervision, cybersecurity, training, escalation to human teams and the cost of correcting errors. It should consider whether usage-based charges rise as adoption grows.

Some benefits cannot be valued precisely at the start. Faster customer responses, better employee capacity or improved risk detection may be commercially important without producing an immediate reduction in expenditure. The answer is to separate evidenced gains from plausible gains, not to present both as cash already earned.

Investors will ask what can go wrong

AI also creates commitments that are less obvious than initial capital spending: dependence on a provider, access to proprietary data, contractual restrictions and the cost of switching platforms later. For UAE and Gulf businesses operating across borders, data handling and regulatory obligations can affect both the implementation timetable and the expected return.

A serious AI proposal should therefore include a downside case. What happens if adoption is slower than forecast? What if the project saves time but does not lift margins? And how quickly can management limit its exposure if the technology or the vendor fails to deliver? Those questions are a sign of investment discipline, not resistance to innovation.

Make the next cheque conditional

One practical change would improve many AI proposals: approve the ambition, but release the money against verifiable stages. Start with a defined process and a baseline. Assign an operating executive responsibility for the result, involve finance before procurement and review the actual economics before expanding to a second use case. A project that fails a test early can still be a valuable experiment; the costly mistake is scaling it without learning why.

For Gulf capital markets and investor-relations discussions, this distinction deserves attention. A company can describe AI as an important part of its strategy without implying that every pilot has already produced a return. Dubai-based finance and investor relations professional Gulamaly Hussain focuses on that wider question of financial accountability: how businesses explain capital commitments, execution risk and the evidence supporting their growth plans.

The strongest AI story in the coming years may be a less dramatic one. Not the company announcing the largest deployment, but the management team able to show what the investment cost, what changed because of it and why the next round of spending is justified.

About Gulamaly Hussain

Gulamaly Hussain is a Dubai-based senior banker, investor relations and finance professional with experience across banking, private equity, capital markets, fundraising and GCC investor coverage. His areas of focus include investor communication, governance, fundraising readiness, private capital and India–GCC investment opportunities.

Website: www.gulamalyhussain.com