What does growing investor trust in AI mean for wealth management?

The FCA’s research points to a significant shift in how younger and less experienced investors research investment decisions. Younger investors are increasingly using general-purpose AI tools to research investments, yet many misunderstand whether that information is regulated or whether compensation would be available if it led to a poor outcome. 

For wealth managers, this creates both a conduct risk and a strategic opportunity: to become the trusted interpreter of information in an AI-enabled market.

AI is reshaping the investment research journey

Clients are arriving better informed, or potentially misinformed 

The FCA found that four in five less experienced investors have used AI for help with investing, while 56% trust AI tools, ahead of television and radio, the press and social media influencers. 

The research also identified significant confusion about regulatory protection. Forty-four per cent mistakenly believe AI-generated financial information is regulated, 38% consider it acceptable to base an investment decision solely on AI output, and 32% wrongly believe they could receive compensation if AI-generated guidance led to a poor outcome. 

The emerging challenge is an understanding gap 

Much industry discussion around AI focuses on operational efficiency, adviser productivity and automation. While these benefits are important, the FCA’s findings point to a different issue. 

An understanding gap is emerging between what consumers believe AI can do and what it is actually designed or authorised to do. Many investors increasingly view AI as a source of guidance. The regulatory framework, however, continues to distinguish clearly between regulated advice and general information. 

This distinction may seem obvious to industry professionals. It is often less obvious to consumers. 

As AI becomes a more common part of the investment journey, firms may find themselves spending more time correcting misunderstandings, challenging assumptions and helping customers distinguish between education, guidance and regulated advice. 

Why does it matter?

AI is moving upstream in the customer journey. Clients may approach an adviser with assumptions, product comparisons or investment ideas generated outside the firm’s control and without the safeguards attached to regulated advice. 

That changes the context in which advice is delivered. Firms must not only explain products and risks; they may also need to identify and correct misconceptions created before the client relationship begins. 

The strategic opportunity

Rather than resisting AI adoption, wealth managers should be exploring how to use AI to their advantage.  

The FCA’s research indicates growing demand for AI-enabled investment information. Forward-looking firms can treat this as an opportunity to strengthen, rather than replace, the client relationship.  

Used appropriately, AI can help firms: 

• Improve financial education 

• Increase customer engagement 

• Simplify complex investment concepts 

• Improve accessibility for all customers 

• Enhance adviser effectiveness 

• Deliver more personalised client experiences 

Actions to take

AI may improve accessibility, engagement and adviser effectiveness, but these benefits depend on appropriate governance, human oversight and clear accountability. 

What can firms do now: 

• Review onboarding, suitability and adviser scripts for prompts that identify external or AI-generated influences on a client’s decision. 

• Make the distinction between general information, guidance and regulated advice clear across digital journeys. 

• Test customer communications with younger and less experienced investors for comprehension, not just disclosure. 

• Set governance expectations for any firm-deployed AI, including approved use cases, human oversight, source checking and escalation. 

• Use complaints, quality assurance and customer-outcome data to monitor emerging signs of AI-related misunderstanding or harm. 

Wider implications

AI is unlikely to remove the need for regulated advice, but it may commoditise basic investment information. This places greater value on the elements AI cannot provide on its own: suitability, accountability, contextual judgement, behavioural support and regulatory protection. 

There is also a wider strategic implication for wealth managers. If investors increasingly use AI tools as a first step in their research journey, firms will need clear, authoritative and well-structured content that can be found, understood and accurately represented in AI-mediated journeys. 

Recommendations

Treat this as a customer-journey and governance issue, not simply a technology trend. Firms should map where AI may influence investor understanding, assess whether existing controls detect resulting misconceptions and clarify the distinctive value of regulated advice. 

The strongest response will combine responsible innovation with visible human accountability: using AI to improve accessibility and education while maintaining robust oversight, clear advice boundaries and evidence of good customer outcomes.