AI Unlikely to Replace Investment Bankers Entirely

Automation may streamline technical tasks, but judgment and relationships remain key to the profession

Apr. 3, 2026 at 8:06am

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An extreme close-up of the intricate gears and mechanisms of a high-tech financial trading console, conveying the complex infrastructure of modern investment banking that blends technical work with human expertise.As AI automates more technical tasks in investment banking, the industry's true value lies in the human judgment and client relationships that machines cannot easily replicate.NYC Today

While AI can automate certain technical tasks in investment banking, such as financial modeling and presentation creation, the core value of investment bankers lies in their judgment under uncertainty and ability to cultivate trusted client relationships. Industry veteran Scott Bok explains why the threat of AI replacing investment bankers is more complicated than headlines suggest, as the most critical aspects of the job cannot be easily replicated by machines.

Why it matters

As AI continues to advance, there are concerns that it could disrupt white-collar professions like investment banking. However, understanding the day-to-day realities of the job reveals that the most valuable skills of investment bankers, such as strategic decision-making and relationship management, are not easily automated. This has implications for how firms adapt their talent development and the competitive landscape in the industry.

The details

Investment banking compensation has long drawn scrutiny, with junior analysts at top firms earning total packages approaching $200,000 in their first year. While the technical components of the job, such as financial modeling and presentation creation, are susceptible to automation by AI tools, the core revenue-generating activities in investment banking center on judgment under uncertainty and relationship management. When advising clients on major decisions like mergers and acquisitions, investment bankers are not simply running calculations, but leveraging decades of pattern recognition, negotiation experience, and an understanding of how regulators and shareholders will react. These skills, which take years to develop, cannot be easily replicated by AI models trained on public data.

  • In 2023, global M&A deal volume fell roughly 30% from 2021 peaks, according to Refinitiv figures.
  • The rebound in M&A activity through 2024 has been uneven.

The players

Scott Bok

The longtime former CEO of Greenhill & Co., an independent investment bank, who authored a book on the industry.

Goldman Sachs

A major investment bank that deployed its own internal AI assistant to thousands of employees in 2024.

DeckRobot

A platform that has automated portions of presentation creation for financial services firms.

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What they’re saying

“When a board of directors decides whether to sell a company for $3 billion or hold out for $3.5 billion, they are not hiring a bank to run arithmetic. They are paying for counsel shaped by decades of pattern recognition across market cycles, negotiations with specific counterparters, and an understanding of how regulators and shareholders will react.”

— Scott Bok, Former CEO, Greenhill & Co.

What’s next

As AI continues to automate more technical tasks in investment banking, firms will need to focus on accelerating the development of judgment and relationship skills in their younger professionals to maintain a competitive edge.

The takeaway

While AI can streamline certain analytical tasks in investment banking, the core value of investment bankers lies in their strategic decision-making abilities and trusted client relationships, which are not easily replicated by machines. Firms that can adapt their talent development to this new landscape will be better positioned to thrive in the face of technological disruption.