Ex-Bankers Charge Wall Street Firms $25,000 a Day for AI Workflow Fixes
*Global banks continue to spend heavily on artificial intelligence while turning to outside specialists to close the gap between investment and usable automation.*
The engagement
Two former bankers now operate as independent trainers who command $25,000 per day from major Wall Street institutions. Their brief is to move internal teams from pilot projects to production-grade agentic systems that handle real workflows.
Banks have already allocated billions to AI infrastructure and models. Progress on day-to-day automation remains limited, prompting firms to bring in external help for targeted training sessions.
Prior state
Most large banks built sizable internal AI groups and licensed foundation models from major providers. The resulting tools often stayed confined to narrow tasks or required constant human oversight, leaving broader process changes unrealized.
The two ex-bankers position their work as direct intervention aimed at that shortfall. They focus on practical implementation rather than additional model development or platform purchases.
Why it matters
High daily rates signal that technical capability inside banks has not yet matched the scale of capital deployed. When institutions pay outside trainers at this level, it indicates persistent execution risk in turning AI spend into measurable operating changes.
The pattern also shows that knowledge transfer, not just access to models, remains a scarce resource on trading floors and back offices.
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Sources:
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