AI in Finance

How AI powers robo-advisors

How robo-advisors use algorithms to manage investments automatically, and what that means for cost, control and risk.

How AI powers robo-advisors
Photo: jurvetson · CC BY 2.0 · via Openverse

Robo-advisors promise a simpler way into investing: answer a few questions, and an algorithm builds and manages a portfolio for you. The technology behind them has become more sophisticated, but the core idea is more mechanical than "intelligent" in the way people sometimes assume.

How the algorithm actually builds your portfolio

When you sign up to a robo-advisor, it typically asks about your goals, time horizon and comfort with risk, then uses that information to place you into a pre-built investment strategy, often made up of low-cost funds spread across different asset types. The software then handles ongoing tasks like rebalancing, which means adjusting the mix periodically to keep it in line with the original plan, and often reinvesting dividends automatically along the way rather than leaving cash sitting idle. This is largely rules-based automation rather than the platform making creative predictions about markets.

Where AI genuinely fits in

More recent platforms have started layering in AI techniques for things like personalising communication, flagging unusual account activity, or fine-tuning how portfolios are rebalanced. But the underlying investment principles — diversification, cost control, long-term consistency — are the same ideas that have existed for decades, simply delivered through an app instead of a face-to-face meeting. AI can make the process smoother, but it doesn't change the fact that investment values can fall as well as rise.

What to weigh up before using one

Robo-advisors suit some people better than others, depending on what you're looking for.

Robo-advisors can be a convenient, low-cost way to get invested, but they're not a guarantee of good returns and won't suit every situation. This article explains how the technology works and isn't a recommendation of any specific platform — always research a provider's regulation and fees before using one.

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