Livemint Weighs Whether AI Can Be Trusted With Your Portfolio

Mumbai-based financial outlet Livemint published a report this week asking a question increasingly common among retail investors: whether artificial intelligence tools can be trusted to manage personal portfolios, and what safeguards investors should expect before handing over that control.

The report, titled "AI for personal finance: Can you trust artificial intelligence to manage your investments? What investors must know," frames the issue as one of growing adoption outpacing investor understanding. AI-driven budgeting apps, robo-advisers and portfolio-screening tools have become more common across retail brokerages and personal-finance platforms, even as the underlying decision logic of those systems often remains opaque to the people using them.

What is Livemint asking investors to consider?

The headline itself doubles as the central question of the piece: "Can you trust artificial intelligence to manage your investments?" That framing puts the burden on investors to evaluate AI tools the way they would any other adviser — by asking what data the system uses, how it is trained, and who is accountable when its recommendations go wrong.

Can AI replace a human financial adviser?

Livemint's report treats that as an open question rather than a settled one. AI systems can process market data and flag patterns faster than a human adviser, but they do not carry the same fiduciary or regulatory obligations that licensed advisers do in most jurisdictions. The report frames this gap — between computational speed and accountability — as the core tension investors must weigh before letting an algorithm make decisions with real money.

What should investors do before using an AI investing tool?

The report's framing suggests investors treat AI recommendations as one input rather than a final answer, verifying any suggested trade or allocation against their own goals and risk tolerance before acting. It also implies investors should understand whether a tool is merely analyzing data or actually executing trades on their behalf, since the stakes differ sharply between the two.

Does distrust of automated financial tools show up elsewhere?

Skepticism toward algorithm-driven financial decisions is not confined to investing. A separate survey covered by HTT News in San Francisco found a negative perception of credit scores among consumers, another automated system that shapes financial outcomes with limited visibility into how its underlying model works. Livemint's report and the credit-score survey point to the same underlying friction: consumers are increasingly asked to rely on systems whose internal logic they cannot inspect.

What is the bottom line for retail investors?

Livemint's report does not conclude that AI tools should be avoided outright. Instead, it urges investors to treat trust in AI-driven investing as something to be earned through transparency and track record, not assumed because a tool is labeled "AI." For now, the report leaves the central question unresolved for each investor to answer individually, based on how much oversight they are willing to retain over their own money.