Career Development

AI hiring dilemma puts Goldman Sachs junior training under pressure

Goldman’s AI push is stripping out junior rote work just as the bank says apprenticeship still builds rainmakers, forcing a rethink of analyst and associate training.

Lauren Xu··2 min read
Published
Listen to this article0:00 min
AI hiring dilemma puts Goldman Sachs junior training under pressure
AI-generated illustration

The work that used to teach junior bankers how to become rainmakers is exactly the work AI is starting to swallow. At Goldman Sachs, that matters because the firm’s future leaders have long learned by grinding through repetitive tasks before they earned real client exposure. If the easy work goes away first, the harder question is what is left for analysts and associates to learn on the job.

A June 18 Dow Jones headline captured the stakes in plain English: executives do not want to slash junior jobs when the next generation of top producers often starts out doing rote work. For Goldman, that turns AI from a productivity story into a pipeline story. The early-career tasks most at risk are the ones that used to fill the apprenticeship years, including summarizing and proofreading emails, translating code, and other desk-bound chores that once helped juniors build speed and accuracy.

Goldman still publicly says, “We choose excellence and champion apprenticeship.” Its students page says exceptional talent benefits from “hands-on experience and early exposure to leaders, clients, and business challenges,” while its investment-banking careers page says the firm “emphasize[s] an apprenticeship culture in which our junior team members learn by working closely with seasoned professionals.” That language now sits beside a harder reality: AI can absorb more of the junior execution, but it cannot easily replace client judgment, relationship-building, or the ability to shape a persuasive narrative under pressure.

The firm has already put the technology into circulation. Marco Argenti said in January 2025 that Goldman had rolled out its GS AI Assistant to about 10,000 employees, with an eventual goal of reaching all knowledge workers in 2025. The assistant later expanded firmwide, putting it directly into the day-to-day workflow of people who once learned by drafting, checking, and reworking material themselves. Goldman’s 2024 annual report said the bank had 46,500 employees as of December 2024 and offices in more than 40 countries, underscoring how much of the firm’s operating model depends on a steady junior pipeline.

That is why the pressure is not just on headcount. Goldman’s New Associate Program is aimed at people with two to five years of experience and an advanced degree, and the firm still recruits for New Analyst and New Associate roles across regions. The question is whether those jobs will keep enough of the old training ground intact if more of the work is automated. Goldman has adjusted junior banker promotion and mobility policies before to keep talent from leaving, and Reuters reported that post-2008 cutbacks compressed analyst classes across Wall Street. AI could bring a similar squeeze, this time by changing not just how many juniors banks hire, but what those juniors are actually there to learn.

This article was produced by Prism’s automated news system from verified source data, official records, and press releases, then run through automated quality and moderation checks before publishing. The system is built and supervised by the people who set the standards it runs under. Read our full AI policy.

Know something we missed? Have a correction or additional information?

Submit a Tip

Never miss a story.

Get Goldman Sachs updates weekly. The top stories delivered to your inbox.

Free forever · Unsubscribe anytime

Discussion

More Goldman Sachs News