This article first appeared on GuruFocus.
Wall Street’s AI race is moving beyond experimentation and into the core of how finance professionals protect their edge. Wall Street Prompt, founded in July 2025 by former SoftBank fund managers Felipe Sinisterra and Dave Wang, is charging $25,000 a day to train bankers, investors and fund clients on AI workflows, with a two-month backlog already forming. In a New York session for a venture fund, Wang showed how Alphabet’s Google Gemini could analyze founder pitch videos, while Sinisterra demonstrated how ChatGPT and Anthropic’s Claude could scan earnings-call transcripts, run sentiment analysis and turn management commentary into spreadsheet inputs for financial forecasts.
The pressure is building as major banks look to expand AI capabilities while reducing traditional support roles. Standard Chartered is preparing to cut thousands of support positions over the next four years, while Citigroup (NYSE:C), Wells Fargo (NYSE:WFC) and Bank of America (NYSE:BAC) collectively cut more than 5,000 jobs in the first quarter of 2026 despite a record earnings season. At the same time, JPMorgan has rolled out its LLM Suite to most employees, Goldman Sachs is working with Anthropic to develop AI agents, and Bank of America says its 18,000 developers are 20% to 25% more productive after using AI. This could point to a new operating model for Wall Street, where AI does not just speed up basic tasks, but possibly reshapes how banks staff research, analysis and support functions.
The broader investment signal is that AI training and workflow automation are becoming their own high-demand corner of financial infrastructure. Wall Street Prompt has worked with T. Rowe Price Group (NASDAQ:TROW), Citigroup and Bank of America, according to people familiar with the matter, while the company is also building a live-webinar product for finance professionals willing to pay around $1,500 each. Competition is forming quickly, with Multiverse committing to train 15,000 AI apprentices over two years and Rogo Technologies raising $160 million in a Series D round this year at a $2 billion valuation for software that automates research and diligence work. For investors, the story is not just about job cuts or productivity gains; it could be about a new AI layer forming across finance, where the firms that train faster, automate deeper and preserve judgment may have a stronger path to defending margins.
