Rudy Lai

AI @ Morgan Stanley

Wealth management leader
Industry
Last updated
July 3, 2025 at 10:44 AM

Summary

  • Morgan Stanley has shown a strong and increasing adoption of AI technologies from Q3 2023 through Q3 2025, evolving from initial AI-driven financial advisor support to advanced generative AI tools integrated deeply across client-facing and internal workflows.
  • Key AI products such as AI @ Morgan Stanley Assistant, Debrief, and AskResearchGPT, powered by OpenAI's GPT-4, have significantly improved efficiency (document retrieval up from 20% to 80%), facilitated closing over 100,000 new clients in 2024, and contributed to nearly $64 billion in net new assets in Q3 2024 alone.
  • Morgan Stanley continues to advance AI by building proprietary generative AI applications in-house, emphasizing trust, security, ROI, and quality controls, with leadership highlighting AI as a critical 'copilot' technology, driving substantial cost savings—projected at nearly $1 trillion annually for corporate America—with ongoing innovation and AI diffusion at the forefront of their business strategy.

VIBE METER

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4 AI Use Cases at Morgan Stanley

Research Assistance
2025
Traditional
Generative
Agentic
Outcome
Costs
The firm employs generative AI applications powered by OpenAI's GPT-4 to accelerate document retrieval and answer complex client questions across a vast corpus, boosting advisor research productivity significantly. [1]
Lead Generation
2024
Customer Facing
Traditional
Generative
Agentic
Outcome
Revenue
Morgan Stanley uses AI-driven lead generation tools that have helped the firm acquire nearly 100,000 new clients and $64 billion in net new assets in 2024, amplifying growth in competitive markets. [1][2]
Meeting Automation
2024
Traditional
Generative
Agentic
Outcome
Costs
AI @ Morgan Stanley Debrief generates meeting notes with client consent on behalf of financial advisors, improving documentation efficiency and freeing advisors to focus on client interaction. [1]
Client Insights
2023
Customer Facing
Traditional
Generative
Agentic
Outcome
Morgan Stanley uses AI tools to better understand client needs and personalize financial advice, enhancing advisor effectiveness and tailoring services to individual clients. [1]

Timeline

2025 Q3

2 updates

Morgan Stanley deployed multiple generative AI and large language model powered tools (AI @ Morgan Stanley Assistant, Debrief, AskResearchGPT) powered by GPT-4, vastly improving research efficiency (document retrieval from 20% to 80%) and supporting large document corpus queries; executives described AI as a 'copilot' and efficiency enabler while emphasizing quality, security, and zero data retention policies; studies showed full AI adoption could save corporate America up to $920 billion annually.

2025 Q2

1 updates

Discussions on AI's investment impact and second-order effects on business landscape continued, though no new direct AI product developments were mentioned this quarter.

2025 Q1

4 updates

Morgan Stanley expanded AI-powered efficiency tools enabling financial advisors to spend more time with clients; the firm emphasized AI monetization and ROI, positioning AI as a key driver of workflow streamlining and innovation.

2024 Q4

4 updates

The firm's AI investments began yielding significant business results, including acquisition of almost 100,000 new clients and nearly $64 billion in net new assets, aided by expanded OpenAI-powered chatbot tools in investment banking and trading.

2024 Q3

1 updates

Morgan Stanley built its second generative AI application in-house in collaboration with OpenAI, indicating a ramp-up in proprietary AI development.

2024 Q2

2 updates

Morgan Stanley launched an internal AI assistant based on OpenAI's ChatGPT technology, named AI @ Morgan Stanley Debrief, to generate meeting notes for financial advisors, enhancing advisor productivity.

2024 Q1: no updates

2023 Q4

1 updates

Morgan Stanley highlighted generative AI's potential to augment or automate job roles and tasks, with the caution that forecasting labor displacement remains difficult.

2023 Q3

1 updates

Morgan Stanley began AI adoption focusing on helping financial advisors understand client needs using data analytics and machine learning to personalize experiences.