businessinsider.com · 16 Sep, 09:12 · Artificial Intelligence briefing

Goldman's investment banking chief shares how she uses AI most — and how juniors should use it to get ahead

Goldman Sachs’ investment banking division chief outlines her practical application of artificial intelligence within high-stakes financial environments.

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The briefing

The story
in brief.

What happened, who it affects, and why it landed on our intelligence desk — in plain English, sixty seconds or less.

Goldman Sachs’ investment banking division chief outlines her practical application of artificial intelligence within high-stakes financial environments. She emphasises how senior leaders leverage AI to enhance decision-making and operational efficiency. Crucially, the report details specific strategies for junior associates to utilise these tools effectively. The guidance focuses on using AI to accelerate routine tasks, thereby freeing time for complex analysis and client engagement. This internal perspective offers a rare look at how top-tier finance institutions are integrating technology into daily workflows. The article serves as a benchmark for professionals seeking to understand the evolving expectations around digital literacy in investment banking.

Employer demand for AI in Banking skills — indexed growth since 2019
Indicative index of skill mentions in professional job postings for the field this story moves (2019 = 1)

Your move

What this means
for your career.

Every headline redistributes opportunity. Here is who this one rewards — and how to be on the right side of it.

This development signals that AI proficiency is no longer optional in elite finance; it is a baseline requirement for career progression. Your ability to integrate AI into daily workflows directly impacts your visibility and efficiency. Junior professionals must pivot from viewing AI as a novelty to treating it as a core productivity tool. Focus on mastering prompt engineering and data interpretation to augment, not replace, your analytical skills. Senior leaders should update performance metrics to reward intelligent tool usage. You must proactively learn how to apply AI to financial modeling and client reporting. Ignoring this shift risks professional obsolescence. Start by auditing your current tasks to identify high-volume, low-value activities suitable for automation. Demonstrating this adaptability will distinguish you as a forward-thinking candidate in a competitive market.

For this story, the fields that convert it into pay are AI in Banking, Financial Modeling, Artificial Intelligence and Data Science — exactly the programmes matched below. The chart shows the indicative salary uplift certified professionals report in each of those fields; every one of them is a click away, from £79, finishing in as few as 20 days.

Indicative salary uplift in the fields matched to this story
Indicative ranges from published continuing-education salary studies, by field — each field is a recommended course below

Matched to this story

Enrol in these
to benefit.

These programmes position you for exactly this shift — online, self-paced, and finishing with a verifiable certificate you can share the day you pass.