And so it begins. A Wall Street bank, Morgan Stanley, has officially given financial advisors a generative AI assistant.
AI @ Morgan Stanley Assistant, which allows financial advisors quick access to the bank’s database of about 100,000 research reports and documents, was launched on Monday, CNBC reported based on a company memo.
I contacted Morgan Stanley and a representative confirmed the tool, built from OpenAI’s GPT-4 large language model, is live. Based on materials that Morgan Stanley Wealth Management shared with me, financial advisors use the tool the most for three main buckets of questions:
—Research inquiries. A prompt example: “What is the outlook on the Fed rate hike?”
—Administrative questions like, “How do I open an IRA for a client?”
—Specialized knowledge questions outside the scope of a financial advisor such as “How can I help a client prepare for a marriage?”
“AI @ Morgan Stanley is about helping our advisors service their clients more effectively and to deliver differentiated advice,” Jeff McMillan, head of analytics, data and innovation for Morgan Stanley Wealth Management, said in a LinkedIn post on Tuesday. “In 2023, human engagement remains our most important driver of growth. AI is about helping our advisors do better, not a replacement for them.”
Back in March, McMillan said in a LinkedIn post: “Let’s stop trying to compete with AI and use it to deliver better outcomes for all.” He noted the strategy in place around AI @ Morgan Stanley Assistant was full speed ahead.
When OpenAI’s ChatGPT burst on the scene in November, Wall Street Banks weren’t exactly enthusiastic about the tool, for risk reasons. In early 2023, some were restricting staff from using it.
After almost a year into the proliferation of generative AI, and with continual research that shows it will only increase in influence, more big banks are onboard.
“Overall, the risks of not embracing generative A.I. far outweigh the risks of engaging with it,” Citigroup CEO Jane Fraser wrote in a LinkedIn post in July. Fraser said Citi’s innovation labs have been working on generative models that power ChatGPT for the past three years. Other big banks like Goldman Sachs are exploring use cases for generative AI, and JPMorgan Chase has plans for investment advice.
CFOs are preparing for the opportunities and challenges of generative AI. But they’re all about making sure first that there’s an effective use case for it at their companies. As generative AI continues to become even more sophisticated, the realm of possibilities for its use will expand.
For example, ChatGPT came up with 200 new product ideas in about 15 minutes, completing the task faster, cheaper, and more efficiently than Wharton MBA students, according to an experiment by Wharton professor Christian Terwiesch.
And we’re still in the early innings.
This story was originally featured on Fortune.com
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