Alliancebernstein Healthcare analysts took an afternoon to analyze what would have taken a month. President Donald Trump's “large and beautiful bill” had a potential impact on certain drugs and insurance plans across state lines.
Andrew Chin, the company's head of artificial intelligence, said analysts can use one of the $790 billion asset manager's internal tools to quickly interpret legislation, identify which companies will be affected, and make quick, confident investment calls.
“She was able to do that, so she was able to make money much faster for our client's portfolio,” Chin said, adding that the analysts were “confined to a part of the alpha” in a previously impossible way.
Basic investors take a slow, systematic approach to investment decisions. Whether you review your financial statements or talk to vendors or company executives, it can take months for a basic investor to come to a conclusion about what to invest, and what to invest at what price.
There's no more. Artificial intelligence is changing the slow-paced investment game that is popularised by investors such as Warren Buffett of Berkshire Hathaway and Peter Lynch of Fidelity.
While asset managers have long used machine learning to crunch spreadsheets and detect trading signals, particularly with systematic strategies, these tools can also quickly digest and analyze vast areas of unstructured information, such as calling revenue, transcripts, regulatory submissions, and even email. This allows large asset managers to make basic investment decisions faster than ever before.
Below are three companies using AI to transform their investment processes:
JPMorgan Asset Management
Two and a half years ago, Dillon Edwards, an AI strategist at JPMorgan Asset Management, sat down to understand what he needed over 50 portfolio managers. He asked them about the screens they use, the questions they ask themselves all day long, and the common thread was “just attract our attention at the right time, at the right place, at the right place.”
That request led to the creation of Smart Monitor, which Edwards described as “Spotify for investors.” It scans a mountain of data to express timely and relevant insights to the company's portfolio managers and analysts.
Smart Monitor is part of JPMorgan's wider AI buildout, a $3.7 trillion asset management division hosted on a platform called Spectrum. Another tool within this platform is Moneyball. This helps portfolio managers identify and correct potential biases in investment decisions by analyzing historical data and market behavior.
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Rather than building something new for investors to learn, Edwards and his team have focused directly on AI, and have spent perfection over the years by investors.
The bottom-up approach helped minimize AI skeptics. During development, I worked closely with my engineers to become an informal sales representative who sold it to my team.
“No one wants another tool, no one wants another. What AI teams think that they can help investors in some way will help them without empathy with what they are doing today,” he said.
Kristian West, head of investment platforms at JPMorgan Asset Management, said the company is developing similar tools by checking whether it can continue to expand its quantitative processes or systematic data-driven investments.
“That's an area we think is pretty obvious, but these two worlds clash even further, while technology and data capabilities increase,” he said.
Alliance Bernstein
For basic investors, this represents a turning point for portfolio managers and analysts who make long-term decisions based on a deep understanding of the individual company.
Chin calls this evolution the rise of the “Iron Man.” A human investor enhanced by AI armor. It's not a replacement, it's an upgrade.
AB has developed an internal chatbot called AB AI and developed several tools to extract from internal data, prepare for company meetings, or conduct research tailored to the manager's investment philosophy.
Chin said many AB analysts use CHATGPT or Microsoft Copilot to develop their own AI agents using specific prompts, and often perform analysis on companies in the sector after a revenue call, for example.
“They can then analyze the companies the way they want, so they get a more tailored or customized version of what the tools can offer them,” he said.
Chin said about 75% of the company's over 500 investment experts use the tool.
People sharing stories such as “It takes a day rather than a month to do something, or I was able to get this insight I didn't get before,” have tried others.
For the remaining 25% who haven't picked up AI, he thinks “it's going to come naturally when the counterparts perform better.”
Black Rock
The big reveal from last month's BlackRock Investor Day shows how fast the field is moving. The $11 trillion investment giant has launched Asimov, the agent AI platform for the basic equity business. Agent AI doesn't just answer questions following the prompt. It can take action on its own.
“We have these virtual AI agents while everyone else sleeps at night. They scan research notes, company submissions and emails to generate portfolio insights,” said Robert Goldstein, the company's chief operating officer.
He hopes Asimov will be deployed throughout the company by the next investor day, providing strong teammates to investors in the world's largest asset managers.
Raffaele Savi, global head of Systemic Investing, highlights how much AI is impacting the world of investment.
The speed and power of “creating situational awareness with millions of real-time stimuli and developing millions of real-time stimuli” that helps to ensure that the portfolio reflects the manager's intent, making manager's intent “deep.”
“The world has changed dramatically,” he said.
