Morgan Stanley is preparing to allow external artificial intelligence agents to directly connect with its stock administration platforms, a move that will integrate AI into a crucial component of its wealth management operations. This development, exclusively reported by CNBC, marks one of the earliest instances of a major Wall Street bank opening its core platforms to external AI tools.
Mark Mitchell, chief product officer of Morgan Stanley at Work, informed CNBC that AI agents are poised to assist corporate clients in managing increasingly intricate stock plans without the need to expand their human workforce. This strategic shift will enable clients' autonomous agents to extract data and insights directly from the firm's ShareWorks and Equity Edge stock administration platforms, thereby bypassing the conventional software interfaces designed for human users, according to Mitchell.
Mitchell elaborated on the future vision, stating, "The way we see it, in a future state, our corporate clients will not be logging into ShareWorks or Equity Edge." Instead, he anticipates clients 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 provided a select group of clients with early agentic access and intends to extend this capability to its 3,400 administration clients by next year. This initiative underscores a broader trend on Wall Street, where firms are increasingly exploring how AI agents can handle tasks traditionally performed by human software users. While rivals such as JPMorgan Chase and Goldman Sachs are utilizing AI agents internally for functions like code writing, they have not yet publicly announced similar steps to allow external agents direct access to their systems.
Strategic Integration of AI
Morgan Stanley has strategically transformed the administration of corporate stock compensation plans into a vital conduit for its wealth management division, which stands as the world's largest with $7.35 trillion in client assets. The firm's workplace strategy was credited with gathering $1.2 trillion in assets in April. This business was significantly bolstered by the acquisitions of Solium Capital in 2019 and E-Trade in 2020, creating a service that, according to the firm, serves nearly half of the companies in the S&P 500 and eight of the ten largest unicorn startups.
The core insight behind this strategy is Morgan Stanley's ability to convert employees, whose stock plans it administers, into advisory clients as their wealth accumulates. Mitchell explained that the bank's proposition to corporate clients is straightforward: rapidly growing technology and biotech companies seek to manage complex stock plans efficiently without increasing headcount in support roles like human resources. In these scenarios, AI agents can manage various aspects of the job without requiring additional human employees, he said.
Internally, Morgan Stanley applies a similar rationale, viewing agentic AI as a means to scale its own services—including customer support, plan administration, and the wealth management funnel—without needing to add "thousands and thousands" of employees, Mitchell stated. To facilitate this transformation, Morgan Stanley is leveraging the Model Context Protocol, an open-source standard designed to enable AI models to connect with data sources.
Mitchell emphasized that software is currently "at an inflection point, clearly." He further asserted that "The companies that are going to survive in the future are the ones who have proprietary data and business logic, which is the foundation of our offering." Despite the shift away from direct website logins, Mitchell conveyed confidence, saying, "The fact that they won't be logging into" the websites "doesn't scare us at all." Morgan Stanley initiated its partnership with OpenAI in 2022, reflecting its belief that direct platform logins become less critical in a future where AI agents serve as the primary interface.
