From Buzzword to Infrastructure
A few years ago, AI in financial services felt like a marketing claim. Today it is operational infrastructure. According to EY's 2025 GenAI in Wealth and Asset Management Survey, 95% of wealth and asset management firms have now scaled AI adoption to multiple use cases, and 78% are already exploring agentic AI systems that can act autonomously on behalf of advisers. The global AI market in financial planning and wealth management was valued at $20.8 billion in 2024 and is projected to reach $129.6 billion by 2034, according to Insight Ace Analytic.
This is not a future story. It is a present one. And for anyone who manages wealth, either their own or on behalf of others, understanding what AI is actually doing in this space is genuinely useful.
Portfolio Construction and Personalisation at Scale
One of the most significant applications of AI in investment management is the ability to deliver personalised portfolio construction at a scale that was previously impossible.
Traditional financial planning has always been limited by adviser capacity. A skilled human adviser can maintain meaningful relationships with perhaps 50 to 150 clients. AI changes that arithmetic. Sequoia Capital's profile of Nevis, an AI platform for registered investment advisers, describes the core problem it solves precisely: advisers spend roughly 80% of their time on administrative work and only 20% with clients. AI tools that absorb the administrative layer free advisers to focus on the conversations that actually require human judgment. Firms using automation have moved from managing 86 clients per support hire in 2022 to 111 clients by 2024, generating meaningfully higher revenue with the same headcount, according to Wealth Management.
At the portfolio level, AI enables continuous monitoring and rebalancing across large numbers of accounts simultaneously. Factors including tax optimisation, risk tolerance drift, and changing market conditions can be acted upon in near real time rather than at quarterly review cycles. EY's survey found that 62% of wealth managers and 72% of asset managers are prioritising investment in personalised investment strategy functions, with automated and personalised client outreach identified as a priority by 58% of wealth managers.
Fraud Detection and Financial Crime Prevention
The fraud picture globally is serious. Nasdaq's 2024 Global Financial Crime Report estimated that fraud scams and bank fraud schemes contributed to $485.6 billion in losses in 2023. In the United States alone, the FTC reported $12.5 billion in fraud losses in 2024.
AI has become the primary tool in the institutional response to this. Feedzai's 2025 AI Trends in Fraud and Financial Crime Prevention report found that 90% of financial institutions are now using AI to detect fraud and expedite investigations. More than half of fraud now involves AI on the criminal side, including deepfakes, synthetic identities, and AI-powered phishing. The response has required equivalent capability on the defence side.
The results are measurable. The US Department of the Treasury announced that AI-enhanced fraud detection prevented and recovered over $4 billion in fraudulent and improper payments in fiscal year 2024, up from $652.7 million in the prior year. Machine learning models that flag unusual transaction patterns in real time, behavioural analytics that identify account takeovers before they complete, and AI systems that cross-reference transaction data against known fraud signatures are now standard in serious financial institutions globally.
For individual investors, this matters because the institutions safeguarding their assets are operating in an increasingly sophisticated threat environment, and AI is what makes detection possible at the speed and scale required.
Risk Management and Compliance
Compliance is one of the most labour-intensive functions in financial services, and one of the areas where AI is generating the clearest operational gains.
A 2024 survey of senior payment professionals found that AI's most prominent use cases include fraud detection and prevention at 85%, transaction monitoring and compliance management at 55%, and personalised customer experiences at 54%. AI systems can monitor transactions across accounts continuously, flag potential anti-money laundering concerns in real time, generate regulatory reports, and maintain audit trails that would require significant human resource to produce manually.
EY's research found that AI's initial deployment in wealth management has delivered the clearest cost savings in compliance, risk management, and IT infrastructure. As regulatory requirements continue to grow in complexity across jurisdictions, the capacity of AI to monitor and respond to compliance obligations at scale is becoming a competitive and operational necessity rather than an optional enhancement.
RGP's 2025 AI in Financial Services report notes that over 85% of financial firms are now actively applying AI in risk modelling, and that AI spending across financial services is projected to reach $97 billion by 2027. The direction is clear: firms that do not embed AI into their risk and compliance functions will face structural disadvantages in both cost and regulatory responsiveness.
What AI Cannot Replace: The Human Element
Despite its growing capabilities, AI in financial services has a clearly documented ceiling, and it is worth being honest about where that ceiling sits.
Financial Planning magazine's 2024 review of AI in wealth management found that while 87% of financial planners expect AI to have a positive impact on their industry, only 5% of consumers said they would seek AI to help make a financial decision, compared to 63% who said they would seek a human financial professional. Trust, built over time through a genuine relationship, remains something that AI has not and likely cannot replicate.
The SEC's 2024 enforcement action against two advisory firms that falsely claimed to use AI in their investment recommendations underlines a related point: the technology's reputation has outrun its actual deployment in many places. Distinguishing genuine AI capability from marketing is a skill that investors and their advisers increasingly need.
LSEG's October 2024 report on AI in wealth management found that while 62% of wealth management firms acknowledge that AI will significantly transform their operations, the most valued client experiences still centre on human judgement, empathy, and relationship continuity. AI handles what it handles well. The conversations that matter most around life events, complex estate decisions, and long-term planning remain deeply human.
The industry consensus that is emerging, supported by both evidence and practice, is that AI augments the best advisers rather than replacing them. EY's survey found that 97% of wealth and asset management firms report minimal headcount changes from AI adoption so far, though 68% anticipate meaningful workforce transformation in middle and back-office roles over the next five years.
What This Means for You as an Investor
The practical implication of AI's growing role in financial services is largely positive for investors, if understood correctly.
Better technology in the hands of good advisers means more time for the conversations that matter, faster and more accurate portfolio management, stronger fraud protection, and more consistent compliance. It also means that the bar for what constitutes genuinely good financial advice has risen. An adviser who is not using the best available tools is at a structural disadvantage relative to one who is.
For investors choosing between providers, it is worth asking not just whether their adviser uses AI, but how, and to what end. Technology that frees up time for deeper client relationships and better-informed decisions is valuable. Technology deployed primarily as a marketing claim is not.
How Celerey Thinks About AI in Our Work
At Celerey, we believe the most effective use of AI in financial planning is as a tool that sharpens human advice rather than one that replaces it. We use data, analytics, and the best available technology to inform the guidance we give. We also believe that the decisions that matter most in a client's financial life, about risk, legacy, values, and long-term goals, are best made in genuine conversation with someone who understands your specific situation.
If you would like to understand more about how we work, or to have a conversation about your own financial planning, the Celerey team is here to help.