Rudy Lai
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AI @ Morgan Stanley

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

Summary

  • Morgan Stanley has demonstrated a strong and increasing adoption of AI from 2023 through 2025, continuously expanding its use of generative AI and large language models (LLMs) including collaborations with OpenAI. Notable products launched include AI @ Morgan Stanley Assistant, Debrief, and AskResearchGPT, significantly improving advisor efficiency and client engagement.
  • The firm reported substantial financial benefits, such as nearly $64 billion in net new assets in Q3 2024 linked to AI deployment, and forecasts potential cost savings of up to $920 billion annually across corporate America by full AI adoption, according to Morgan Stanley’s studies.
  • Key leaders like Adam Jonas (Head of Global Autos & Shared Mobility Research) have articulated AI's transformative role, emphasizing AI as a 'copilot' and productivity enhancer, while Morgan Stanley maintains rigorous evaluation and security frameworks, including leveraging OpenAI’s zero data retention policies for trust and compliance.

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4 AI Use Cases at Morgan Stanley

Research Automation
2025
Traditional
Generative
Agentic
Outcome
Costs
Morgan Stanley deploys generative AI and LLM-based tools such as AskResearchGPT to drastically improve research document retrieval accuracy and speed, reducing advisor effort and accelerating decision-making. [1]
Workflow Streamlining
2024
Traditional
Generative
Agentic
Outcome
Costs
Morgan Stanley integrates AI-powered tools to automate routine tasks, reduce time spent on internal processes, and enhance employee productivity across investment banking and trading divisions. [1][2]
Lead Generation
2024
Traditional
Generative
Agentic
Outcome
Revenue
AI tools are leveraged to identify and generate leads for financial advisors, helping Morgan Stanley to close a record number of new clients and accumulate significant net new asset inflows. [1][2]
Client Engagement
2024
Traditional
Generative
Agentic
Outcome
Revenue
Morgan Stanley uses AI-powered assistants and chatbots (e.g., AI @ Morgan Stanley Assistant and Debrief) to automate note-taking, provide personalized client insights, and enable financial advisors to spend more time building client relationships. [1][2][3]

Timeline

2025 Q4: no updates

2025 Q3

1 updates

Morgan Stanley has fully integrated generative AI, LLMs and machine learning in production at scale, significantly boosting research efficiency (document retrieval effectiveness rising from 20% to 80%) and enabling sophisticated tools like AskResearchGPT accessing 100,000 documents; firm emphasizes strict quality, security, and ROI focus with AI as a co-pilot for employees.

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

1 updates

Expansion of AI-powered efficiency tools to enable advisors to focus more on clients; Morgan Stanley highlights AI's role in streamlining workflows and improving ROI.

2024 Q4

3 updates

Morgan Stanley's AI investments result in significant client growth with the firm reporting nearly $64 billion in net new assets in Q3 alone, and rolling out OpenAI-powered chatbots to investment banking and trading divisions.

2024 Q3

1 updates

Morgan Stanley builds its second generative AI application in-house collaborating with OpenAI, reinforcing the push towards homegrown AI capabilities.

2024 Q2

2 updates

Launch of Morgan Stanley's OpenAI-powered internal AI assistant and the AI @ Morgan Stanley Debrief tool that generates meeting notes on behalf of financial advisors.

2024 Q1: no updates

2023 Q4

1 updates

Morgan Stanley explores generative AI's potential to augment and automate job roles while acknowledging challenges in forecasting labor displacement.

2023 Q3

1 updates

Morgan Stanley begins investment in AI technologies focused on helping financial advisors better understand client needs through data analytics and machine learning.