The New AI Stock Pickers Are Destined to Disappoint

Meet the new stock pickers. They will remind you of the old stock pickers.

One thing to watch for next year is AI-driven investment products. There’s a lot of buzz around Wall Street about artificial intelligence taking over from real-life fund managers, presumably because AI will be better at picking stocks.

It can’t do worse. Twice a year, S&P Global Inc.’s Spiva scorecard shows that most active managers unfailingly lose to a broad stock market index over most time periods. S&P’s report doesn’t extend to hedge funds, but they haven’t fared any better.

Enter AI with hopes of doing what mortal managers can’t. Don’t hold your breath. For starters, in aggregate, stock pickers end up with the market return minus fees, as the late Vanguard Group Inc. founder John Bogle often reminded investors. That applies to humans as well as bots. So, as a group, the bots are destined to lose.

Sure, some will beat the market, but many won’t win by a big enough margin to overcome their fees. The experience of real-life stock pickers is instructive. I counted more than 7,000 actively managed stock mutual funds for which Morningstar calculated risk-adjusted returns relative to the market over the past 10 years. Roughly 45% of them won before fees, but only 27% won after accounting for cost.

Another challenge for AI is competition from other bots. The truth is that human stock pickers are already obsolete. There are numerous low-cost exchange-traded funds that replicate traditional stock-picking strategies, such as value, quality and momentum, often following a rules-based, quantitative approach mostly run by computers. Like human managers, they don’t always beat the market, but the low-cost ones have a much better shot.