Capital markets firms enter the agentic AI era with a structural advantage their wealth management counterparts lack. A decade of regulatory compulsion (SR 11-7, MiFID II, FINRA supervisory obligations) forced the build-out of a model governance infrastructure that agentic AI requires. Wealth management firms are constructing that infrastructure now. Capital markets firms are extending what already exists. The difference in deployment speed, cost, and risk is substantial.
This report draws from Datos Insights proprietary survey data and extends the analytical frameworks developed across the firm’s three-part agentic AI series—Managed Autonomy, The Infrastructure Reality, and Three Pathways to Agentic AI—into the capital markets context. It identifies three sequenced implementation pathways for capital markets firms ready to move from mandate to deployment.
Clients of Datos Insights’ Capital Markets service can download this report.
This report mentions Accenture, AWS, BlackRock, Bloomberg, Capgemini, CGI, Cognizant, Deloitte, EY, FactSet, FIS, Fiserv, Google, HCL, IBM, Infosys, KPMG, Microsoft, Moody’s, MSCI, PwC, S&P Global, SimCorp, SmartStream, SS&C, State Street, TCS, and Wipro.
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