Goldman Sachs Bets Big on AI Programmers—Wall Street Braces for Disruption

Wall Street's old guard just got a silicon-powered wake-up call. Goldman Sachs is doubling down on AI talent, poaching top programmers to rewrite the rules of high finance. The move signals a tectonic shift—banks aren't just using AI, they're becoming tech firms with balance sheets.

The AI Arms Race Heats Up

While rivals still tweak their Excel macros, Goldman's building an algorithmic legion. No numbers disclosed (classic Wall Street opacity), but insiders confirm hiring sprees for machine learning engineers who'd rather code than schmooze golf clients.

Human Traders on Notice?

The writing's on the Bloomberg Terminal: banks that fail to automate risk becoming expensive data centers. One cynical take? This is just Goldman's latest cost-cutting play—replace bonus-hungry bankers with servers that work for electricity.

From chatbots to full developers

Wall Street has already been dipping its toes into AI. Banks like JPMorgan Chase and Morgan Stanley used large language models last year to generate summaries and write emails. But those were just glorified chatbots. This is different. Devin executes multi-step tasks, like building entire apps or migrating internal systems to modern programming languages. It’s doing things that typically require a full team of engineers.

Cognition, the company behind Devin, was barely a year old when its valuation doubled to almost $4 billion in March. It claims that Devin is the first autonomous AI software developer of its kind. While Goldman is now using Devin in live environments, it doesn’t hold a financial stake in Cognition.

What makes this AI different is its ability to handle boring, complex work that engineers tend to hate. “Updating legacy code into modern frameworks” is one of the tasks Marco mentioned specifically. That kind of labor is usually handed to junior devs or consultants. But with Devin, Goldman doesn’t need either.

The bigger picture here is Wall Street’s growing interest in agentic AI. AI that doesn’t just assist, but replaces parts of the workflow entirely. Tech firms like Microsoft and Alphabet have already said that AI now writes 30% of the code in some of their software projects. Marc Benioff, CEO of Salesforce, recently said AI handles 50% of the work inside his company. Now Goldman is pushing that trend into finance.

Marco believes this new AI is miles ahead of earlier tools. He said it could improve developer productivity by 3x to 4x, which explains why the bank’s testing isn’t limited to just a handful of engineers. “Those models are basically just as good as any developer, it’s really cool,” he said.

That last part may sound exciting, but it comes with implications.

Hybrid workforce or headcount cuts?

The inevitable concern is jobs. Goldman Sachs is a first mover, but it’s not going to be the last. Earlier this year, Bloomberg Intelligence predicted that 200,000 banking jobs will be cut in the next three to five years because of AI. With Devin now inside Goldman, other firms may follow suit; not with chatbots, but with AI that can actually replace developers.

Marco doesn’t deny that. Instead, he talks about a “hybrid workforce,” where humans manage AI tools. “Engineers are going to be expected to have the ability to really describe problems in a coherent way and turn it into prompts,” Marco said, adding that developers will need to supervise the AI, not compete with it.

That’s where things get murky. If one AI can do the job of three people, do you keep all three and retrain them to supervise, or do you just keep one human and one Devin? Marco didn’t say. But what’s clear is that Goldman’s vision doesn’t stop at software developers. “So I think that will serve as a proof point also to expand it to other places,” he said. Meaning other job roles might be on the chopping block too.

So far, no other major bank has publicly embraced Devin. If the results come back strong, and if productivity numbers hit the levels Marco suggested, don’t be surprised if thousands of AI coders start popping up across Wall Street faster than HR can file the paperwork.

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