Morgan Stanley vs Adept AI

Side-by-side comparison of AI visibility scores, market position, and capabilities

Morgan Stanley

LeaderFinance

Investment Banking

Global investment bank and wealth manager with $61.9B FY2024 revenue; $7.5T client assets; E*Trade ($13B, 2020) and Eaton Vance ($7B, 2021) acquisitions anchored shift to 55% fee-based wealth revenue.

AI VisibilityBeta
Overall Score
A89
Category Rank
#2 of 3
AI Consensus
65%
Trend
stable
Per Platform
ChatGPT
84
Perplexity
95
Gemini
89

About

Morgan Stanley is a leading global financial services firm providing investment banking, securities, wealth management, and investment management services, founded in 1935 by Henry Sturgis Morgan (grandson of J.P. Morgan) and Harold Stanley after breaking away from J.P. Morgan & Co. following the Glass-Steagall Act separation of commercial and investment banking. Headquartered in New York City and trading on NYSE (MS), the company reported approximately $61.9 billion in net revenues for FY2024 under CEO Ted Pick, who succeeded the transformative James Gorman as CEO in January 2024. Gorman's decade-long strategy—shifting Morgan Stanley's revenue mix from volatile investment banking and trading toward stable fee-based wealth management—has resulted in the Wealth Management segment representing approximately 55% of net revenues, with $7.5 trillion in total client assets managed across 15,000+ financial advisors.

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Adept AI

EmergingAI Infra

AI Agents

Adept AI raised $415M to pioneer computer-use AI agents; its core research and agent team moved to Amazon in 2024 in a landmark talent acquisition while the company continues developing ACT-1 for enterprise automation.

About

Adept AI was founded in 2022 by a team of former OpenAI, DeepMind, and Google Brain researchers to build AI that can take actions on computers — navigating software interfaces, filling forms, and executing multi-step workflows in any application. Its ACT-1 model demonstrated the ability to control web browsers and desktop applications through natural language instructions, pioneering the computer-use agent paradigm that Anthropic later commercialized with Claude's computer use feature.

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