The generative AI-powered assistant for Investment Banking, Sales & Trading and Research supports staff in efficiently surfacing and distilling high-quality insights from the expansive body of Morgan Stanley Research
New York -
Morgan Stanley (NYSE: MS) Research today announced the launch of AskResearchGPT, a unique generative AI-based assistant that addresses the needs of the bank’s Investment Banking, Sales & Trading and Research staff. AskResearchGPT can be leveraged to look for data, obtain insights and summarize information from the firm’s expansive body of Research – more than 70,000 proprietary reports published annually. With convenient, one-click access within their day-to-day workflow, the generative AI tool gives staff a more comprehensive, in-depth view of the most current Research information, so they can provide the firm’s institutional clients with higher quality service in a more effective manner.
“AskResearchGPT is emblematic of our tech-forward philosophy in Institutional Securities,” said Katy Huberty, Global Director of Research and Co-Chair of the Morgan Stanley AI Steering Committee. “Our most important objective is to provide our clients with world class analysis and information to help them generate alpha. AskResearchGPT boosts our employees’ ability to support our clients with just that – better and at scale.”
AskResearchGPT is a generative AI-based augmentation to the already popular AskResearch application, a chatbot that helps pinpoint data, key findings and analyst ratings from the vast library of Morgan Stanley Research reports. In AskResearchGPT, OpenAI’s GPT-4 model is supercharging the capabilities of the original tool by synthesizing unstructured data, empowering users to address more complex questions by drawing comprehensive insights and summaries from multiple research products. AskResearchGPT is conveniently accessible across the suite of productivity and communication tools used every day, facilitating seamless access to research whenever needed.
Additionally, the assistant is paired with a workflow solution, patented by Morgan Stanley, which gives staff a single-click option to transfer findings of their queries into an email draft ready to be modified and customized before sharing with their clients. Findings include hyperlinks to citations of relevant research materials providing staff and clients with the ability to dive deeper into the original research.
“AskResearchGPT gives our client-facing teams a leg up, freeing capacity to more deeply engage with clients while providing better than ever service. It is an important step in delivering a firmwide Research platform that is not only omnipresent across our tools but will ultimately extend its capabilities with other information sources, skills and languages,” said Eden Kidner, Head of Technology Strategy for Morgan Stanley Research. “We continue to experiment with the most recent generative AI improvements, identifying other opportunities to enhance our employee and client engagement.”
Morgan Stanley has leveraged AI and machine learning for over a decade to boost productivity and client service. The firm pioneered the use of generative AI on Wall Street with its unique partnership with Open AI, which was announced in spring of 2023. AskResearchGPT is the first use case in the Institutional Securities arena, joining a continuously growing suite of generative AI powered tools including the AI @ Morgan Stanley Assistant and AI @ Morgan Stanley Debrief, which were successfully rolled out to the firm’s Wealth Management financial advisors and staff over the course of the past year.
About Morgan Stanley
Morgan Stanley (NYSE: MS) is a leading global financial services firm providing a wide range of investment banking, securities, wealth management and investment management services. With offices in 42 countries, the Firm’s employees serve clients worldwide including corporations, governments, institutions and individuals. For further information about Morgan Stanley, please visit www.morganstanley.com.
Contacts
Media Relations Contact: Azar Boehm, azar.boehm@morganstanley.com