Gen Z Uses AI to Invest—Experts Warn Against Full Reliance — SkimNews

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- Gen Z investors are increasingly turning to AI tools to research stocks, mutual funds and SIPs, though experts caution that AI should complement—not replace—investor judgement, discipline and financial planning.
- In one example, a Gen Z investor who already held a Flexi Cap Fund received an AI recommendation for another fund in the same category, with the tool failing to account for portfolio overlap.
- Amitha A. Jayan, Wealth Manager at Scripbox, warned that AI summaries can carry outdated fund NAVs, expense ratios or financial metrics, and that every choice must still match the investor's specific risk capacity, tax bracket, time horizon and liquidity needs.
- Jayan added that algorithms tracking online sentiment can lean toward volatile or viral assets, and that historical data models don't always predict macroeconomic shifts, interest-rate changes or market downturns.
- Ashwiinii Deshpande, Director at Hitachintak Investservices, said AI can calculate but experience decides which variables and weights are appropriate, and that AI also misses information investors never provide—such as future family responsibilities or financial emergencies that can reshape asset allocation.
- Deshpande raised an explicit accountability question: if AI recommends a fund switch, who considers the resulting taxes and exit loads, and who is accountable if the call goes wrong?
- Experts also flagged a data-privacy risk, advising Gen Z investors against entering sensitive financial details—bank statements, account numbers and personal tax IDs—into unverified AI tools or prompt windows.
Why it matters: Deshpande explicitly puts accountability on the table: if an AI tool recommends a fund switch, no one absorbs the resulting tax and exit-load consequences. For Gen Z investors leaning on algorithmic picks, the material risk is acting on generic or outdated outputs—and overlooking life-stage factors like income volatility and future family costs that reshape asset allocation, as both Jayan and Deshpande stress.
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