Artificial Intelligence has become an increasingly popular tool to manage finances and research investments. According to Lloyds Banking Group, around 28 million adults in the UK accessed AI tools for personal finance advice. Meanwhile, Fidelity International reported that 36% of retail investors aged 18-34 are now using AI to help with investment decisions, compared with 29% of investors aged 35-54 and only 5% of those over 55.
Experts believe AI shouldn't replace human financial advisors, but should be used alongside them for better financial information access.
AI chatbots can provide instant explanations of financial services, investment product comparisons, return projections and even support users in creating budgets. Smart AI financial advisors also perform portfolio rebalancing, track asset allocation, plan investments, and spot tax-loss harvesting opportunities.
But when it comes to real-world judgment, AI has its drawbacks. According to the Financial Times, AI adviser Danilo McGarry recalled when a person inquired from a chatbot how they could cut their tax burden. The AI recommended moving to Monaco, a correct answer but impossible for someone who was a resident and working in Croydon.
The example highlights a key weakness of AI: it gives a logically correct answer without considering personal circumstances.
The advice produced by the AI is largely dependent on the data that users enter into it. Questions such as "Which stock should I buy?" or "Should I rebalance my portfolio?" without clarifying their income, tax status, investment horizon, existing portfolio, and risk tolerance often result in generic answers.
McGarry told the Financial Times he had seen investors post portfolio screenshots and wondered if they should rebalance but not disclose that part of their portfolio was held within a pension account.
"The AI happily told them to sell, which would have triggered an unnecessary tax event in the taxable portion," he said.
AI is not about real logic, Horowitz said, but rather about statistically probable language, which can sound convincing but convey no real context.
When it comes to financial matters, numbers aren't the only factors that matter. Investment behavior may be influenced by fear, greed, market volatility, and personal goals.
While AI chatbots might reinforce emotional behavior, a competent financial advisor questions it. A Stanford University study revealed that AI systems often perpetuate user biases and predispositions rather than challenging them. This gives the impression of an "echo chamber" in which investors may be led to be more sure of their bad financial choices rather than considering them again.
A professional advisor, however, can guide investors from panicking during market crashes, considering the alternative, and creating a long-term strategy that can be adapted to shifting life situations.
Also Read: Why AI Chatbots Are Emerging as Powerful Learning Coaches?
Investors should also avoid disclosing sensitive financial data to AI chatbots, experts say.
According to the Financial Times, AI researcher Farrell-Kingsley said free AI programs come with a "trade-off" as users are essentially paying for their usage with their personal data. She said she has come across highly sensitive information in the form of banking and payment information being added into AI systems while working with large language models.
Users should never provide personal information such as passwords, bank account numbers, tax identification numbers, recovery phrases, or other confidential information to AI tools.
Why this MattersFinancial AI democratizes research for young investors but risks severe financial fallout. Lacking situational context and empathy, algorithms can trigger accidental tax penalties, reinforce costly behavioral biases, and expose sensitive personal banking data to security leaks.
AI has the potential to enhance financial planning in several ways, such as automating repetitive tasks, streamlining investment research, and providing greater access to financial education. However, it cannot fully understand complex legal, tax, emotional, or family situations.
AI can be an effective tool for investors who prefer simplicity in their investing, budgeting, and portfolio management. Whether it's for making investments, filing taxes, or estate planning, experienced financial advisors continue to provide the judgment, accountability, and personalised guidance that algorithms cannot replicate.
The best strategy is a combination of the two: AI for speed and efficiency, and qualified human advisors for key financial decisions.
1. Is AI financial advice reliable?
AI can explain financial concepts, compare investment products, and automate routine portfolio management. However, it may overlook personal circumstances, making human oversight essential for major financial decisions.
2. Can AI replace a human financial advisor?
Not entirely. AI is excellent for research, budgeting, and portfolio monitoring, but human advisors provide judgment, emotional coaching, tax planning, and personalized strategies that AI cannot fully replicate.
3. What are the biggest risks of using AI for financial advice?
Key risks include inaccurate recommendations, lack of personal context, privacy concerns, phishing risks, and AI reinforcing user biases rather than challenging poor financial decisions.
4. Is it safe to share financial information with AI chatbots?
Experts advise against sharing passwords, bank account numbers, tax IDs, recovery phrases, or other confidential information. Free AI tools may store or process user data for model improvement.
5. What is the best way to use AI for personal finance?
Use AI for financial education, budgeting, investment research, and routine portfolio tracking. For retirement planning, taxes, estate planning, or major investment decisions, consult a qualified financial advisor.