Archive · 23 Aug 2026
AI Can Analyse Investments, But Human Judgment Still Matters
AI can help people study investments and find patterns in financial data.
But it cannot know exactly what markets will do.
Its answers can change when a question is phrased differently.
It may also make up sources or sound confident when it is wrong.
Some research found that AI advice can look similar to expert advice.
However, the advice may change depending on what the user says about themselves.
Experts say investing advice should consider a person’s goals, savings, age and comfort with risk.
People should use AI as a research helper, not as the final decision-maker.
A human should check every important investment choice.
AI-powered tools can analyse investments, identify patterns and monitor portfolios, but they cannot reliably predict markets.
Investor Shubhodeep Pal uses AI to propose trades while personally approving every transaction.
Research from the Massachusetts Institute of Technology and Stanford University found AI advice can resemble expert guidance, but results depend heavily on prompts.
Generic AI tools may give gender-sensitive recommendations, fabricated citations, inconsistent answers or excessive confidence.
Experts recommend using AI for research while relying on personal risk assessment and regulated investment advisers for major decisions.
- Who
- Indian retail investors, AI tools, investment advisers and researchers are involved; quoted experts include Shubhodeep Pal, Rohit Prakash, Akhil Theerthala and Kanan Bahl.
- What
- The article examines whether investors should trust artificial intelligence to analyse investments or provide financial advice.
- When
- The article cites more than 22.9 crore demat accounts as of May 2026 and research discussed as recent; no publication date is provided.
- Where
- The discussion focuses on India, with research from the Massachusetts Institute of Technology and Stanford University.
- Why
- AI is increasingly accessible to retail investors, but its recommendations may lack personal context, contain errors and fail to communicate uncertainty.
AI-Assisted Investing
Human-Led Investing
AI’s usefulness
AI-Assisted Investing
AI can process large amounts of data, identify patterns, personalise analysis and continuously monitor portfolios.
Human-Led Investing
AI lacks complete knowledge of an investor’s changing goals, finances, existing holdings and risk tolerance.
Reliability of recommendations
AI-Assisted Investing
Research cited in the article found that AI advice can resemble expert guidance, particularly when it receives suitable prompts and information.
Human-Led Investing
Recommendations may change with small prompt or context changes, and AI may provide fabricated citations or fail to signal uncertainty.
Role in major decisions
AI-Assisted Investing
Regulated AI platforms with human oversight may help with asset allocation, fund selection and rebalancing.
Human-Led Investing
Experts advise using generic AI mainly for early-stage research and consulting registered investment advisers for significant financial decisions.
- AI’s recommended role
- Research, data analysis, pattern detection and portfolio monitoring—not unquestioned financial advice.
- Pal’s approach
- AI proposes trades, while Shubhodeep Pal approves every trade himself.
- Demat accounts
- More than 22.9 crore Indian demat accounts were reported as of May 2026.
- Investment advisers
- Rohit Prakash said India has fewer than 1,000 registered investment advisers for more than 20 crore investors.
- Research finding
- A Massachusetts Institute of Technology and Stanford University analysis found AI advice could align closely with expert advice, depending on the prompt.
- AI limitations
- Recommendations can change with minor prompt changes, include weak or fabricated citations and fail to disclose uncertainty.
- Recommended safeguard
- Investors should consider their own goals and risk tolerance, avoid unusually attractive return claims and protect sensitive financial information.