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 progressively expanded its AI initiatives from Q3 2023 through Q3 2025, deploying multiple generative AI tools (notably in partnership with OpenAI's GPT-4 technology) to enhance advisory services, client engagement, and internal research efficiency.
  • Significant financial impact includes acquiring nearly 100,000 new clients and adding approximately $64 billion in net new assets in Q4 2024, with AI-driven operational efficiencies estimated to contribute to potential annual savings of up to $920 billion according to Morgan Stanley data.
  • The firm emphasizes responsible AI use, implementing evaluation and security frameworks such as OpenAI's zero data retention policy, and positioning AI as an augmentative 'copilot' in workflows, highlighting trends toward agentic and generative AI maturity targeting revenue growth, cost reduction, and improved client experience.

VIBE METER

More AI announcements = more VIBE
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3 AI Use Cases at Morgan Stanley

Research Efficiency
2025
Traditional
Generative
Agentic
Outcome
Revenue
AI-powered platforms allow Morgan Stanley advisors and analysts to rapidly search and summarize documents (improving information retrieval from 20% to 80%) and generate insights from large data corpora, enabling faster, more accurate financial research and recommendations. [1][2]
Operational Automation
2025
Traditional
Generative
Agentic
Outcome
Costs
Morgan Stanley employs AI and machine learning to automate routine tasks, streamline advisor workflows, and optimize product development, reducing manual effort and operational costs while enhancing client experience. [1][2][3]
Client Engagement
2024
Customer Facing
Traditional
Generative
Agentic
Outcome
Revenue
Morgan Stanley uses AI tools, such as AI @ Morgan Stanley Debrief and AI Assistant, to generate meeting notes, analyze client data, and personalize financial advice, increasing lead generation and improving client acquisition and retention. [1][2][3]

Timeline

2025 Q4: no updates

2025 Q3

2 updates

Morgan Stanley establishes leadership in AI-driven financial services with multiple generative AI tools powered by OpenAI GPT-4; reports potential corporate cost savings near $920 billion annually; advances AI strategy focusing on efficiency, security, and ROI.

2025 Q2

1 updates

Morgan Stanley extensively uses AI and machine learning to streamline workflows, automate tasks, generate insights, and enhance product development.

2025 Q1

3 updates

Morgan Stanley highlights AI trends and monetization strategies, expanding AI-powered tools to optimize client growth and research efficiency.

2024 Q4

3 updates

Rollout of OpenAI-powered chatbot to investment banking and trading division; AI tools credited with helping close 100,000 new clients and acquiring $64 billion in net new assets in Q3 alone.

2024 Q3

1 updates

Morgan Stanley develops second generative AI application in-house with OpenAI collaboration, promoting AI as disruptive force in financial services.

2024 Q2

2 updates

Launch of Morgan Stanley's internal AI assistant powered by OpenAI's ChatGPT; debut of AI @ Morgan Stanley Debrief tool generating client meeting notes with consent.

2024 Q1: no updates

2023 Q4

1 updates

Morgan Stanley publishes perspectives on generative AI's potential to augment or automate job roles and tasks within the company.

2023 Q3

1 updates

Morgan Stanley introduces AI use to assist financial advisors in understanding client needs using data analytics and machine learning.