Is Wall Street’s New MVP… a Chatbot?
By late 2025, the big banks stopped “experimenting” with AI and started using it for real. Forget the hype—AI is now doing actual work across Wall Street, from building code to answering customer calls.
Productivity is up.
At JPMorgan, AI tools have doubled efficiency since launch. Marianne Lake says some teams could eventually get 50% faster once robots fully join the roster.
Goldman Sachs is using an internal system called “OneGS 3.0” to streamline sales, lending, and all those glorious paperwork marathons. Wells Fargo says it hasn’t cut jobs yet, but they’re absolutely “getting more done”—and FYI, they’ve quietly budgeted for higher severance costs in 2026. 👀
PNC’s boss put it bluntly: automation’s been keeping headcount flat for years, and AI will only step on the gas. Meanwhile, Citi’s new CFO says AI copilots are cutting software dev time by 9% and making customer service less painful for everyone involved.
The trick? Keeping the bots in line.
AI in banking isn’t free to run wild. Regulators want strict monitoring, human review, and clear paper trails. Every prompt, output, and “oops” moment gets logged, because, well… it’s banking.
What’s next?
Phase one: humans + AI = more productivity, same headcount.
Phase two: fewer humans, same output. Some banks look ready to cross that line soon.
McKinsey estimates AI could pump up to $340 billion a year into banking profits. The real question now isn’t whether it works—it’s how fast banks can scale it without breaking compliance… or morale.
So yes, Wall Street’s new intern doesn’t sleep, doesn’t take bonuses, and definitely doesn’t complain about PowerPoint.
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