Morgan Stanley to Open Wealth Management Platforms to External AI Agents in Industry First
Morgan Stanley will soon allow artificial intelligence agents from thousands of corporate clients to access its key wealth management platforms, marking one of the first instances of a major Wall Street bank opening its systems to external AI tools, CNBC has learned exclusively.
Details of the AI Integration
The move will enable clients’ autonomous agents to pull data and insights directly from the firm’s stock administration platforms, ShareWorks and Equity Edge, bypassing the traditional software interfaces built for human users, according to Mark Mitchell, chief product officer of Morgan Stanley at Work. “The way we see it, in a future state, our corporate clients will not be logging into ShareWorks or Equity Edge,” Mitchell said. Instead, they will be “using agentic AI-powered tools on their desktops within the four walls of their companies, interacting with our platforms in a purely agentic way.” The bank has already granted a handful of clients early agentic access and plans to open it up to the firm’s 3,400 administration clients by next year, Mitchell said.
Strategic Context and Industry Positioning
Morgan Stanley has transformed the business of managing stock compensation plans for corporations into a critical funnel for its wealth management division, the world’s largest with $7.35 trillion in client assets. The firm acquired Solium Capital in 2019 and E-Trade in 2020, creating a business that now caters to almost half of the companies in the S&P 500 and eight of the 10 biggest unicorn startups. In April, Morgan Stanley executives attributed $1.2 trillion in assets gathered to its workplace strategy. The core insight: by administering employee stock plans, the bank can convert workers into advisory clients as their wealth grows. Rivals including JPMorgan Chase and Goldman Sachs have used AI agents internally for tasks like writing code but have not publicly announced steps to allow external agents to connect directly to their systems.
Implications for Corporate Clients and Workforce
Morgan Stanley’s AI pitch to corporate clients is straightforward: fast-growing technology and biotech companies want to administer increasingly complex stock plans without adding headcount in support roles such as human resources, Mitchell said. AI agents can handle aspects of the job without adding human employees, he noted. Internally, the bank sees agentic AI allowing it to scale its own services—customer support, plan administration, and the wealth management funnel—without adding “thousands and thousands” of employees, Mitchell added. For this change, Morgan Stanley is leaning on something called the Model Context Protocol, an open standard for connecting AI agents to external systems.
Market Context
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