The panic over AI destroying white-collar jobs has found a new target: investment banking. But understanding what these professionals actually do reveals why the threat is more complicated than headlines suggest.
Artificial intelligence is coming for white-collar work. That is the narrative dominating boardrooms and newsrooms alike, and investment bankers have surfaced as a seemingly obvious target. The logic feels sound enough: bankers move numbers, draft documents, and build financial models, all tasks that large language models handle with increasing competence. If a machine can produce a discounted cash flow analysis in seconds, why pay an analyst six figures to do it over a weekend?
As Bloomberg Markets recently explored in a conversation with Scott Bok, the longtime former CEO of Greenhill & Co., answering whether AI can disrupt a profession requires first understanding what that profession actually demands day to day. Bok, who led the independent investment bank for roughly two decades and authored a book on the industry, offers a perspective grounded in the actual mechanics of dealmaking rather than theoretical speculation about automation.
Investment banking compensation has long attracted scrutiny. Junior analysts at major firms like Goldman Sachs and Morgan Stanley can earn total packages approaching $200,000 in their first year, while senior managing directors routinely pull in seven figures. That kind of pay draws sharp questions during technological upheaval. The uncomfortable reality for AI evangelists, however, is that the bulk of a banker's value has never rested in spreadsheet construction.
The technical components of the job, building models, drafting pitch books, preparing confidential information memorandums, are undeniably susceptible to automation. Tools powered by AI are already making inroads here. Goldman Sachs deployed its own internal AI assistant to thousands of employees in 2024, and platforms like DeckRobot have automated portions of presentation creation for financial services firms. The productivity gains are real, and they will compress timelines for routine analytical work.
But the core revenue-generating activity in investment banking centers on judgment under uncertainty and relationship management. 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. That counsel is delivered through trusted personal relationships that take years to cultivate and cannot be replicated by a model trained on public data.
Mergers and acquisitions activity dropped sharply in 2023, with global deal volume falling roughly 30 percent from 2021 peaks according to Refinitiv figures. The rebound through 2024 has been uneven, which makes trusted advisory more valuable, not less. Uncertain markets reward experience and calm decision-making precisely because the stakes are higher and the margin for error thinner.
What Changes and What Stays
The banking industry has absorbed technological disruption before. Electronic trading largely eliminated floor traders in equities, and algorithmic market-making transformed fixed income. Those changes were brutal for specific roles but expanded overall market activity. A similar pattern is likely here. Junior analysts will spend less time formatting cells and more time interpreting output. The total headcount at major banks may not shrink dramatically, but the skill composition will shift toward strategic thinking and client interaction earlier in a banker's career.
For entrepreneurs and investors watching this space, the implication is straightforward. AI will not kill investment banking, but it will compress the technical training ground that junior roles have historically provided. Firms that figure out how to accelerate the development of judgment and relationship skills in their younger professionals will gain a durable edge. The rest will find themselves with faster spreadsheets and weaker advice, which is not a competitive position anyone wants to occupy.
