Eureka Case 26 min Undergrad

The Robot and the Alpha

You're the director of a wealth management firm in Santiago. Robo-advisors are taking your clients with tiny fees, and your team proposes responding by launching a product promising "AI that beats the market." You suspect you're fighting the wrong battle: the value of a robo-advisor was never alpha. Before investing in marketing, you need to understand what they actually sell.

The situation

A robo-advisor doesn't promise to beat the market. It builds a diversified indexed portfolio, rebalances it, automates tax-loss harvesting, and charges a minimal fee. Its value for the everyday investor isn't alpha (market-beating returns) —which neither they nor most active managers deliver sustainably— but low fees plus discipline: rebalancing, not selling in a panic, tax efficiency.

Here's the trap in evaluating them. If you judge them by "can the AI pick winners?", you're asking the wrong question: that's not what they offer, nor where their value comes from. And if you respond by promising AI-driven alpha, you're selling something that doesn't materialize, while your fee eats into the client's return. The robo threat isn't automated stock-picking; it's fee compression across the mass market. Evaluate them —and compete with them— on cost, access, and discipline, not on an alpha nobody delivers reliably.

Your job in this case: see where the client's net return actually comes from —market, fee, discipline, alpha— and decide how to compete. The question isn't whether your AI beats the market, but what creates value for the client when alpha is elusive.

The decision

How do you compete with robo-advisors?

  • A · Lower fees + discipline for the mass market; charge for human advice only where it adds value
  • B · Promise that your AI beats the market
  • C · Dismiss robos as toys and keep fees high

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