The wealth management industry has reached a historic inflection point, according to new data released by BridgeWise. In its inaugural State of AI for Wealth in 2026 report, the wealth AI provider found that 78.3% of global investors are already using artificial intelligence for investment-related queries. The study, which surveyed 2,100 respondents across 19 countries, reveals a redrawn global map of wealth intelligence — one in which emerging markets in the Middle East and Latin America are outpacing traditional financial hubs in North America and Europe. The findings point to a rapid transition from experimentation to mainstream reliance, with meaningful implications for institutions, regulators, and retail investors alike.
Key Overview
- 78.3% of surveyed investors globally are already using AI for investment-related queries, and 45.7% qualify as power users consulting AI “always” or “often.”
- The Middle East tops the new Global Wealth AI Optimism Index, with LATAM ranking first worldwide for confidence and perceived strategic edge.
- A “Great Research Migration” is underway: 65.1% of respondents plan to replace manual research with AI tools within the next year.
- A significant gender gap persists — women represent 62.1% of those who have never used AI for investing and 66.7% of those with no confidence in its accuracy.
- An “Untapped Believers” segment — roughly 29.3% of non-users who already trust AI’s accuracy — signals a sizable addressable market for institutions that move quickly.
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The release of BridgeWise’s inaugural State of AI for Wealth in 2026 report marks what the company describes as a “definitive tipping point” in how everyday investors source financial intelligence. Based on responses from 2,100 employed adults across North America, Europe, APAC, LATAM, and the Middle East, the report found that a clear majority of investors are no longer experimenting with AI — they are routinely depending on it for the information that guides their portfolio decisions.
Nearly half of respondents (45.7%) now consult AI “always” or “often” when seeking investment information, while 10.7% use it for every investment query. That level of embedded usage suggests AI has migrated from a curiosity sitting alongside Google and Bloomberg to a primary channel for retail and mass-affluent investment research. For institutions in even the most heavily regulated markets, the data creates a new urgency: either match the investor experience that AI already provides, or watch clients quietly reroute their research — and, eventually, their capital — through tools that were not built with regulatory guardrails in mind.
This picture aligns with broader industry signals. Other recent data indicates that 87% of wealth management firms already use AI for at least one internal function, with large asset managers planning to invest, on average, around $101 million in AI during 2026. What BridgeWise’s study adds is the investor-side view: demand from end-users is now outpacing the pace at which many institutions can safely deploy AI into client-facing workflows.
The Global Wealth AI Optimism Index: Emerging Markets Pull Ahead
Perhaps the most unexpected finding of the report is geographic. The study introduces a proprietary benchmark — the Global Wealth AI Optimism Index — that evaluates the 19 surveyed countries through four weighted pillars: Adoption (AI usage frequency), Confidence (trust in AI accuracy), Edge (perceived competitive advantage from using AI for investing), and Momentum (intent to replace traditional investment research with AI).
On this index, the Middle East emerged as the top-ranked region globally, ranking ahead of APAC, North America, and Europe on both current adoption and future momentum. Latin America followed closely, ranking first in the world for both reported confidence in AI accuracy and the belief that AI provides a definitive strategic edge.
These regional rankings upend the familiar narrative that wealth innovation flows outward from Wall Street and the City of London. They also reflect underlying structural dynamics that have been building for years. In the Gulf, governments have actively linked AI to national economic agendas — the UAE’s National AI Strategy 2031 and Saudi Arabia’s Vision 2030 both identify AI-powered financial services as a cornerstone. In Latin America, more than 70 percent of wealth managers already allocate to alternatives and retail investors have shown a strong appetite for digital platforms, creating fertile ground for AI-driven research tools.
A country-level breakdown shows the UAE ranking second globally on the overall Optimism Index and first in the world on Momentum — meaning UAE investors have the highest stated intent of any country surveyed to replace traditional investment research with AI tools within the next twelve months. For institutions operating across emerging markets, the message is unambiguous: the demand-side appetite for AI-enabled wealth tools is not a future scenario to plan for; it is already a condition of competing.
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The “Untapped Believers”: A Hidden Market Opportunity
One of the most commercially significant findings in the report concerns the 21.7% of respondents who do not currently use AI for investment research. Rather than treating this group as uniform skeptics, the study segments them more finely — and the results are striking.
Approximately 29.3% of non-users told researchers they already trust AI’s accuracy. BridgeWise terms this group the “Untapped Believers,” and it represents a substantial, latent market. For these investors, the primary obstacle is not philosophical resistance to AI but the absence of accessible, trustworthy entry points within their existing wealth ecosystems. Their banks, brokerages, and advisors have simply not surfaced a wealth-native AI experience they feel comfortable using.
That diagnosis matters because it reframes the institutional opportunity. Instead of needing to convert hardened skeptics, firms need only meet an audience that is already willing. The implication is a familiar one in fintech: distribution and user experience matter as much as the underlying model. Institutions that succeed in embedding explainable, regulation-aligned AI into the client journey can capture a segment that their generic competitors — and even general-purpose AI chatbots — are poorly positioned to serve.
This also speaks to a broader concern regulators have begun to voice. In April, the Dutch Authority for the Financial Markets published its analysis on AI use in asset management, surveying 323 institutions and emphasizing that firms must remain transparent about the role AI plays in their investment policies. Purpose-built, auditable systems — as opposed to opaque general-purpose LLMs — are increasingly being framed as a regulatory imperative, not merely a competitive differentiator.
The AI-Powered Investing Gender Divide
Even as AI adoption surges, BridgeWise’s data exposes a widening demographic fault line. Women represent 62.1% of those who have never used AI for investment information and 66.7% of those who express no confidence in its accuracy. On the other side of the ledger, men report confidence in AI at 81.7%, compared with 70.6% among women. Among respondents who believe AI delivers a competitive investing edge, 60% are men and 40% are women.
These numbers do not emerge in a vacuum. A Harvard Business School meta-analysis of 18 studies covering 143,008 individuals across 25 countries found that women had 22 percent lower odds than men of using generative AI, with the gap most pronounced in older cohorts. Research has also found that women report greater caution in financial risk-taking and that men use more confidence-signaling, investment-oriented language when discussing money.
The implications for the wealth industry are significant. As AI becomes the default research tool for global investors, a confidence gap in the technology risks compounding existing disparities in wealth accumulation. If AI-assisted research genuinely produces better outcomes over time — as BridgeWise and its peers argue — then investors who sit out the transition will quietly forgo gains their more AI-fluent counterparts are capturing. Closing this gap will require more than better marketing; it will demand interface design, educational outreach, and trust-building that treats women not as a niche user segment but as a core one.
The Great Research Migration
Looking forward, the report identifies what it calls the “Great Research Migration” — 65.1% of respondents indicate they are likely to replace manual investment research with AI-driven tools within the next year. The shift is particularly steep among younger investors: 57.8% of respondents aged 18 to 35 already identify as frequent AI users, compared with only 26.9% of those over age 50.
This generational divergence echoes signals across the wider industry. Industry observers have described 2026 as the year the wealth sector shifts from generative AI to agentic AI — from tools that summarize to tools that execute multi-step investment workflows. When that transition meets an investor base that is already predisposed to trust and use AI, adoption compounds quickly. Firms that are still in pilot mode risk discovering that their clients have already rewired their research habits around external AI tools.
There is, however, a caveat worth noting. A recent 2026 AI Performance Study from PwC found that a relatively small group of organizations is capturing the vast majority of AI-driven value, with leaders significantly outperforming peers on revenue growth and efficiency. Success, the study argued, depends less on the scale of AI investment and more on how deeply the technology is embedded into core workflows. Raw demand alone will not translate into returns without disciplined execution.
Purpose-Built AI Meets a Regulated Industry
BridgeWise CEO Gaby Diamant framed the findings as a structural reshaping of the wealth landscape. “The competitive divide in the wealth space will no longer run between humans and machines,” Diamant commented. “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.”
That framing is consistent with BridgeWise’s recent strategic moves. In February the company acquired Chicago-based Context Analytics, an AI-powered alternative data processor used by tier-one financial firms including S&P Global Market Intelligence. The combined entity was positioned as the industry’s first fully integrated wealth AI solution, spanning unstructured data processing through to end-user analytics. BridgeWise currently serves more than 50 institutional clients and 25 million end users across more than 15 languages, with offices in markets that mirror the geographic findings of the new study — including Dubai, Singapore, Brazil, and Japan.
What This Means for Institutions
Taken together, the numbers in the State of AI for Wealth in 2026 report sketch a clear strategic picture. The debate over whether investors will adopt AI is effectively settled; the open questions now concern distribution, trust, and governance. Institutions that want to remain in the research loop will need to move decisively on three fronts: deploying explainable, regulation-aligned AI inside their own client experiences; addressing the confidence gap among women and older investors head-on; and designing for emerging markets, where demand is already running ahead of supply.
The wealth sector has a narrow window. Investor expectations have already been reset by consumer AI tools. The firms that translate that expectation into compliant, wealth-native intelligence over the next twelve months will be the ones that define the industry’s next chapter — the rest will spend the decade catching up.
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