Artificial intelligence is increasingly playing a role in helping with investment decisions at top asset managers, and that includes the biggest bank by market cap.
Later this year, JPMorgan will expand the use of a generative AI tool known as “Moneyball” to help portfolio managers avoid bad calls, such as potentially selling hot stocks too soon, according to the Financial Times.
The tool is designed to show users “how they and the market have behaved in similar circumstances and helps them correct for bias and improve their process,” Kristian West, head of investment platform at JPMorgan Asset Management, told the FT.
Moneyball is a pilot program still being developed and is part of JPMorgan’s Spectrum portfolio management platform that draws on 40 years of data, according to the report.
The effort is part of a trend in the financial sector where the use of AI is evolving from more routine tasks, like those related to compliance or marketing, toward roles that can aid in decision-making.
Meanwhile, Voya Investment Management has been using a virtual analyst that flags potential risks in stocks to help its human researchers, the FT added.
For its part, JPMorgan is already regarded as a leader on Wall Street when it comes to new technologies.
Top bank analyst Mike Mayo pointed out last month that JPMorgan plans to spend $17 billion this year on tech alone, adding that the unprecedented investment is turning JPMorgan into “the Nvidia of banking.”
“They’re spending it on AI; they’re spending it on digital banking; they’re modernizing the back office; they’re trying to be the preeminent digital bank 2.0, which is the next version of banking,” he said.
And at the Fortune Brainstorm AI conference in London in April, Evident Insights cofounder and CEO Alexandra Mousavizadeh said her company’s AI index on the approaches big banks are taking toward AI showed that JPMorgan earned the top spot, followed by Captial One, and Royal Bank of Canada.
JPMorgan has had a long-term AI focus, supported by CEO Jamie Dimon, along with investment into AI innovation, talent, and transparency of responsible AI, according to the report.
