Morgan Stanley logo

Morgan Stanley AI Adoption Tracker

Last updated: August 18, 2026

4.0 Excellent

Overview

Morgan Stanley has emerged as a leader in AI integration within financial services, building its strategy around human-centered AI that enhances rather than replaces human expertise. Beginning with the 2023 launch of the AI@MS Assistant for its 16,000 financial advisors in partnership with OpenAI, the firm has achieved remarkable adoption with 98.5% of advisor teams using AI tools [1]. The initiative started in wealth management where AI tools improved document retrieval efficiency from 20% to 80% and enabled advisors to access over 100,000 proprietary documents instantly [2]. Building on this success, Morgan Stanley expanded AI capabilities with AI@MS Debrief for meeting summaries and AskResearchGPT for institutional securities, serving its investment banking, sales, and trading divisions [3]. CEO Ted Pick has positioned AI as 'potentially really game-changing,' estimating it could save financial advisors 10-15 hours per week while driving the firm's broader digital transformation [4]. The firm appointed Jeff McMillan as its first Head of Firmwide Artificial Intelligence in March 2024 to coordinate AI strategy across all business units and ensure responsible innovation [5]. Beyond internal tools, Morgan Stanley has filed for cryptocurrency ETPs including Bitcoin and Solana trusts, signaling its expansion into digital assets alongside AI infrastructure [6].

AI Maturity Index

4.0 /5 Leader

Evidence high

  • 98.5% of advisor teams use AI tools weekly across wealth management [news]
  • AI deployed across wealth management, institutional securities, and research divisions [corporate]
  • Named Head of Firmwide AI with dedicated steering committee [news]

Missing Evidence

  • Specific AI governance policy details not publicly available

Evidence high

  • CEO positioned AI as 'potentially really game-changing' with specific time savings projections [news]
  • Strategic partnership with OpenAI as exclusive wealth management partner [news]
  • Comprehensive AI evaluation framework and human-in-the-loop oversight [news]

Missing Evidence

  • Specific workforce AI training programs not detailed publicly

Evidence high

  • Document retrieval efficiency improved from 20% to 80% [news]
  • 10-15 hours per week time savings potential cited by CEO [news]
  • 30 minutes saved per meeting with AI Debrief tool [corporate]

Missing Evidence

  • All evidence present

Radar Comparison

Company Sector Avg

Peer Comparison: Morgan Stanley vs financials

Based on 77 companies in sector

Dimension Morgan Stanley Sector Avg Diff
Adoption 4.0 3.7 +0.3
Proficiency 4.0 3.6 +0.4
Impact 4.0 3.6 +0.4
Overall 4.0 3.7 +0.3

Key Metrics

98.5% of teams use AI tools weekly
Advisor Team Adoption Rate
Source: https://www.businessinsider.com/morgan-stanley-ai-chatgpt-used-nearly-all-wealth-management-teams-2024-4
Improved from 20% to 80%
Document Retrieval Efficiency
Source: https://www.businessinsider.com/morgan-stanley-ai-chatgpt-used-nearly-all-wealth-management-teams-2024-4
10-15 hours per week per financial advisor
Time Savings Potential
Source: https://www.reuters.com/technology/morgan-stanley-ceo-says-ai-could-save-financial-advisers-10-15-hours-week-2024-06-10/
5
AI Initiatives
Source: Larridin Analysis

AI Initiatives

1

Digital Wallet for Tokenized Assets

January 2026

Active

Blockchain-based wallet supporting tokenized securities and private equity

Planned launch in second half of 2026 to support traditional securities, private equity, and cryptocurrency trading on E*TRADE platform

2

Cryptocurrency ETPs

January 2026

Active

Exchange-traded products for Bitcoin, Ethereum, and Solana

Filed registration statements with SEC for passive investment vehicles tracking cryptocurrency performance

3

AskResearchGPT

October 2024

Active

AI-powered research synthesis tool for institutional securities division

Synthesizes unstructured data from 70,000+ annual research reports, enables complex query handling for investment banking, sales & trading teams

LLM
4

AI@MS Debrief

2024

Active

Meeting summary and note-taking tool for client interactions

Automatically transcribes and summarizes client meetings, generates follow-up emails, and integrates notes into CRM systems. Saves advisors approximately 30 minutes per meeting

5

AI@MS Assistant

September 2023

Active

OpenAI-powered chatbot providing financial advisors instant access to Morgan Stanley's proprietary knowledge base

Launched as custom encyclopedia for 16,000 financial advisors, accessing 100,000+ internal documents with 98.5% team adoption rate. Improved document retrieval efficiency from 20% to 80%

LLM

Frequently Asked Questions

Morgan Stanley provides three main AI tools: AI@MS Assistant for accessing proprietary documents, AI@MS Debrief for meeting summaries, and AskResearchGPT for research synthesis. These tools have achieved 98.5% adoption among advisor teams.

According to CEO Ted Pick, AI tools could save financial advisors between 10-15 hours per week. The AI Debrief tool alone saves approximately 30 minutes per client meeting.

No, Morgan Stanley emphasizes a human-centered approach where AI enhances rather than replaces human expertise. The goal is to free up advisors' time for more meaningful client engagement and relationship building.

Morgan Stanley has filed for Bitcoin, Ethereum, and Solana ETPs and plans to launch cryptocurrency trading on E*TRADE in 2026, along with a digital wallet for tokenized assets.

Morgan Stanley hosts OpenAI models on its own infrastructure with a zero data retention policy, implements robust governance frameworks, and has dedicated teams for AI oversight and compliance.

Related Companies

About AI Tracker

AI Tracker is a research project by Larridin, the AI execution intelligence platform.

Methodology: We analyze earnings calls, press releases, partnership announcements, and product documentation. All assessments are based solely on publicly available information—no private customer data is used.

Maturity Scoring: Each dimension is rated on a 4-tier scale (Nascent → Emerging → Scaling → Leading) based on evidence from public sources. Industry averages are computed as the median across all tracked companies in the sector.

Update cadence: Every 2-3 weeks
Last updated: August 18, 2026