Key Takeaways
- • Divya Nettimi, founder of New York-based hedge fund Avala Global, says AI agent "fleets" could within three to five years let a single analyst cover 200 stocks instead of 20, per a Bloomberg report from the Bloomberg Invest conference.
- • Avala Global manages approximately $2bn and has already built a firm-wide proprietary AI model that serves as a core input into its investment framework.
- • Nettimi describes the expected productivity gain as "an order of magnitude" rather than incremental, with AI widening the top of the investment funnel before concentrating portfolios into 15 to 20 high-conviction positions per year.
- • Lone Pine Capital co-CIO Kelly Granat says AI could "commoditise the base layer" of fundamental research, standardising investment vocabulary across teams; Lone Pine manages around $19.5bn in long-short equity.
- • Both investors stress that human judgement remains central, particularly management interpretation, question framing and pattern recognition built over decades.
Summary
Hedge funds may soon deploy fleets of artificial intelligence agents to sharply expand research capacity and stock coverage, according to a Bloomberg report citing Divya Nettimi, founder of New York-based hedge fund Avala Global. Speaking at the Bloomberg Invest conference in New York, Nettimi said that within three to five years, analysts could be supported by AI bots that monitor data flows across hundreds of stocks, filter signal from noise and surface actionable insights for human decision-makers.
Nettimi argued the productivity gains would be transformative rather than incremental. "I could see a world where an analyst who previously covered 20 stocks could cover 200, because they are managing a fleet of agents that tracks and analyses them," she said. AI agents could help funds evaluate a far broader universe of potential investments, expanding the "top of funnel," before narrowing to a concentrated portfolio of 15 to 20 high-conviction positions each year. She added that entirely new workflows are likely to emerge as AI tools become embedded in investment processes.
Avala, which manages approximately $2bn, has already developed a firm-wide proprietary AI model that serves as a core input into its investment framework. Nettimi's former employer, Viking Global Investors, has similarly built an internal chatbot, VikingGPT, to help portfolio managers test and refine trade ideas. Other managers are exploring comparable applications. At Lone Pine Capital, co-chief investment officer Kelly Granat said AI could help "commoditise the base layer" of fundamental analysis, reducing siloed sector research and creating a more standardised investment vocabulary across teams. Lone Pine manages around $19.5bn in long-short equity strategies.
Both investors stressed that human judgement remains central to the investment process. Interpreting management teams, asking the right questions and synthesising quantitative and qualitative information, along with pattern recognition built over decades, are capabilities Nettimi believes will be harder to automate.
Nettimi argued the productivity gains would be transformative rather than incremental. "I could see a world where an analyst who previously covered 20 stocks could cover 200, because they are managing a fleet of agents that tracks and analyses them," she said. AI agents could help funds evaluate a far broader universe of potential investments, expanding the "top of funnel," before narrowing to a concentrated portfolio of 15 to 20 high-conviction positions each year. She added that entirely new workflows are likely to emerge as AI tools become embedded in investment processes.
Avala, which manages approximately $2bn, has already developed a firm-wide proprietary AI model that serves as a core input into its investment framework. Nettimi's former employer, Viking Global Investors, has similarly built an internal chatbot, VikingGPT, to help portfolio managers test and refine trade ideas. Other managers are exploring comparable applications. At Lone Pine Capital, co-chief investment officer Kelly Granat said AI could help "commoditise the base layer" of fundamental analysis, reducing siloed sector research and creating a more standardised investment vocabulary across teams. Lone Pine manages around $19.5bn in long-short equity strategies.
Both investors stressed that human judgement remains central to the investment process. Interpreting management teams, asking the right questions and synthesising quantitative and qualitative information, along with pattern recognition built over decades, are capabilities Nettimi believes will be harder to automate.
Go deeper than the headline
Research every firm in this story, track the ones that matter and get the daily briefing — free for 7 days.