Artificial intelligence has integrated into banks, investment platforms and various financial institutions. Modern systems now process large volumes of economic and financial data in a much shorter timeframe than human analysts require.
London Stock Exchange Group (LSEG) describes this transition as a shift from merely gathering information to interpreting and coordinating insights. Research from MIT Sloan indicates that AI provides practical guidance on spending, saving and investing.
MIT Sloan researchers also identified specific areas where the technology shows weaknesses, including managing retirement drawdowns, rebalancing portfolios and responding to income shocks. The UK's Financial Conduct Authority notes in its 2026 wealth-management research that AI can improve efficiency, reduce friction and help bridge the advice gap.
However, the Financial Conduct Authority also warns of risks related to cybersecurity, fraud and harm to consumers. The Financial Stability Board has listed cyber risks associated with AI as a primary concern for financial stability.
Data quality, privacy, bias and cybersecurity were flagged by the US Government Accountability Office as key risks of AI in financial services. Around 10,000 affluent and high-net-worth investors across ten markets participated in a 2026 HSBC survey, which found that 73 per cent use AI for finance and investment.
Only 12 per cent of those surveyed said AI was the most influential factor in their latest investment decision, while 62 per cent named financial professionals and institutions as their main source of ideas.
