A sweeping global study of 2,100 investors across 19 countries reveals that the UAE and Saudi Arabia aren't just adopting AI for wealth management — they're leading it. Here's what that tells us about the next phase of global finance.

by Kasun Illankoon, Editor in Chief at Tech Revolt

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There's a version of the AI-in-finance story that gets told almost exclusively through the lens of Wall Street, Silicon Valley, and the occasional London fintech district. It's a story about hedge funds running large language models on earnings transcripts, about robo-advisors displacing junior analysts, about Bloomberg terminals facing their first serious existential competition in decades.

It's also, according to a major new global study, an incomplete story - and possibly the wrong one entirely.

BridgeWise, a wealth-focused AI provider, released the inaugural State of AI for Wealth in 2026 report: a survey of 2,100 investors across 19 countries examining how people around the world are actually integrating artificial intelligence into investment research and financial decision-making. The findings upend some comfortable assumptions about where AI adoption in finance is happening fastest - and who is most likely to shape the industry's next decade.

The short version: the Middle East is first. The UAE isn't just keeping pace with the world's financial capitals. It's outrunning them.

What the Index Actually Measures

To map global AI adoption in wealth management, BridgeWise developed what it calls the Global Wealth AI Optimism Index - a proprietary benchmark that evaluates 19 countries across four weighted dimensions.

Adoption measures how frequently investors are already using AI for research and decision-making. Confidence captures trust in AI's accuracy and reliability. Edge reflects how strongly investors believe AI gives them a competitive advantage over those who don't use it. And Momentum - arguably the most forward-looking and consequential pillar - measures stated intent to replace traditional investment research with AI tools within the next twelve months.

Across all four pillars combined, the Middle East ranks first globally, ahead of Asia-Pacific, North America, and Europe. Saudi Arabia ranks first worldwide on the overall index. The UAE ranks second. And on the Momentum pillar specifically - the indicator of where adoption is heading, not just where it is - the UAE ranks first in the world.

Read that again. Not first in the region. First in the world. Out of 19 countries surveyed, investors in the UAE expressed the highest stated intent of any nationality to replace conventional investment research with AI-driven tools in the coming year.

Why the UAE, and Why Now?

To treat this as a surprise would be to ignore the last several years of deliberate national policy. The UAE has spent the better part of a decade building the regulatory, infrastructural, and institutional conditions necessary to become a global technology hub - and has been unusually explicit about AI as a priority within that strategy. The country has a dedicated Minister of AI, a national AI strategy that targets economic transformation by 2031, and a financial services ecosystem in Dubai and Abu Dhabi that has actively courted global fintech investment with regulatory sandboxes and licensing frameworks designed for innovation.

BridgeWise's findings are, in this context, less a revelation than a confirmation. The infrastructure that was built to attract AI-native financial services companies has also shaped the expectations and behaviors of the investors operating within that environment. When your financial regulators are actively building frameworks for AI-powered investment tools, and your national strategy explicitly positions AI as an economic priority, it's perhaps unsurprising that investors in your country are more willing - and more eager - to let AI drive their research process.

What is notable is the magnitude of that willingness, and the gap it reveals between the UAE's position and that of markets that have historically considered themselves at the frontier of financial innovation.

The 78 Percent Problem (and Opportunity)

The UAE figures don't exist in isolation. They sit atop a global baseline that is itself more advanced than many financial incumbents may be comfortable acknowledging.

Across all 19 countries surveyed, 78.3% of respondents already use AI for investment research. That is not a niche behavior. That is a majority practice. And it is happening with or without the blessing of the traditional financial research industry.

The generational divide within that number is particularly sharp. Among investors aged 18 to 35, 57.8% already identify as frequent AI users for investment purposes. Among those over 50, that figure drops to 26.9%. The implication is that the industry is not debating whether AI will become central to investment research - it already has for a majority of investors - but rather how quickly that shift will accelerate as younger investors accumulate more assets and move into higher-value client segments.

Looking ahead twelve months, 65.1% of respondents globally say they are likely to replace manual investment research with AI-driven tools. That is the Great Research Migration, and it appears to be underway regardless of whether the financial services industry has formally prepared for it.

The "Untapped Believers" Are the Real Story

Perhaps the most strategically significant finding in the entire report isn't about who is already using AI - it's about who isn't, and why.

BridgeWise identifies a cohort it calls the "Untapped Believers": approximately 29.3% of respondents who don't currently use AI for investment research but already say they trust its accuracy. These are not skeptics waiting to be convinced. They are converts waiting for the right door to open.

The barrier keeping them out isn't doubt. It's access. Specifically, it's the absence of purpose-built, regulation-aligned AI tools within the wealth management platforms they actually use. They believe in the technology. They simply can't find it in a form that fits their workflow, their regulatory environment, or their risk appetite.

This is a significant market gap - and a direct indictment of the current state of AI integration in mainstream financial services. Generic AI tools built for broad consumer use cases are not the same as AI designed with the specific evidentiary and compliance demands of investment research in mind. The Untapped Believers aren't being held back by technology's limitations. They're being held back by the industry's failure to deliver the right product.

Gaby Diamant, CEO of BridgeWise, framed the stakes plainly: "The competitive divide in wealth management will no longer run between humans and machines. It will run between those who have access to specialized, wealth-native intelligence that surfaces opportunities invisible to generic AI engines, and those still navigating an increasingly complex global market with tools that were not built for it. The data from this study confirms the demand is already there. The mandate now is to meet it with AI that is explainable, accurate, and purpose-built for finance from the ground up."

What the Financial Industry Still Gets Wrong About This Shift

The traditional financial research industry has spent several years trying to position AI as a supplement - a tool that enhances what analysts do rather than a potential replacement for the research function itself. That framing has been useful for managing internal resistance to change and for navigating conversations with regulators still developing their frameworks for AI-generated financial advice.

The BridgeWise data suggests that framing is losing ground with actual investors. When 65% of the people your clients are talking to at dinner parties say they're planning to replace manual research with AI within the year, "AI as a helpful assistant" becomes a harder product pitch to sustain.

This does not mean the traditional research function is facing immediate extinction. What it means is that the financial firms best positioned for the next decade are almost certainly those treating AI integration as an infrastructure question rather than a feature question - building it into the architecture of how research is produced and delivered, not layering it on top of existing processes as an optional enhancement.

The Middle East, and the UAE in particular, appear to have internalized this logic faster than most. The rest of the world's financial hubs are catching up. But the data suggests the gap is wider than they might prefer to believe.

The Bigger Implications

At its core, the State of AI for Wealth in 2026 report is a document about the redistribution of financial sophistication. The tools that once gave institutional investors and elite private banks their information advantage - proprietary research, dedicated analyst teams, expensive data feeds - are being democratized and, in some cases, outpaced by AI systems that can process vastly more information in vastly less time.

That redistribution is happening fastest in places that combine high AI optimism, supportive regulatory environments, and younger investor demographics. The Middle East, by this analysis, ticks all three boxes more decisively than any other region in the study.

The question for the rest of the world's financial centers isn't whether this shift is coming. It's whether they're building for the world that's arriving, or still optimizing for the one that's already leaving.