As 2027 approaches, most conversations about artificial intelligence in investment banking have moved beyond simple questions of productivity.

For the past two years, discussions have largely centered on whether AI will automate financial modeling, reduce analyst hiring, or fundamentally change how banking work gets done. Those are important questions. But they may not be the most interesting ones.

As executive search professionals focused on investment banking talent, we are increasingly hearing a different set of questions from industry leaders. Some believe AI will reduce portions of traditional junior banker workloads. Others believe it will increase demand for advisory services. Still others see an opportunity to rethink how future bankers are recruited, developed, and prepared for leadership.

Rather than attempting to predict a single future for investment banking, this two-part series examines six questions that are surfacing most frequently in conversations across the industry. Part one focuses on the near-term market: what makes this technology different, what it may mean for advisory demand, and how it could reshape the competition for talent.

The three questions explored in this article

·       Is AI different from previous efficiency waves?

·       Will AI expand or reduce demand for advisory services?

·       Will AI compete with banks for talent?

Question 1: Is AI Different From Previous Efficiency Waves?

Skeptics may reasonably argue that investment banking has experienced technological disruption before. One of the closest historical comparisons is the rise of outsourcing and offshoring capabilities in the early 2000s. Firms invested heavily in offshore analytical and production teams, and some observers expected those resources to materially reduce junior hiring or fundamentally alter banking career paths.

The results were mixed. Outsourcing added efficiency and lowered costs, but it rarely changed the industry's underlying talent model. The scope was generally narrow, with offshore teams often handling comparable company analyses, profile pages, research gathering, and presentation support. Quality could be very good, acceptable, or require substantial rework. Delivery was commonly overnight or measured in days rather than minutes.

As a result, outsourcing supplemented Analysts and Associates far more than it replaced them. Work moved between people and locations, but onshore bankers still reviewed, revised, integrated, and ultimately took responsibility for the final product.

AI may prove different because it combines three characteristics at once: increasingly strong output, a broader range of capabilities, and near-instant delivery. AI-assisted workflows can support research, writing, presentation development, information synthesis, financial analysis, and portions of modeling. Outsourcing changed where work was performed. AI may change how much work requires human involvement in the first place.

Question 2: Will AI Expand or Reduce Demand for Advisory Services?

Much of the current discussion assumes a straightforward outcome: higher productivity will require fewer people. History suggests the relationship may be less direct. Excel did not eliminate financial analysis. Bloomberg did not reduce information demands. PowerPoint did not reduce presentations. These tools raised expectations for volume, speed, depth, and customization.

AI may create a similar effect. As research and analysis become faster, clients may request more scenarios, more diligence, faster responses, and more tailored work. Productivity gains could become the industry's new baseline rather than a source of excess capacity.

There is also a second-order possibility. If AI helps companies develop products, scale operations, and reach meaningful revenue thresholds faster, more businesses could arrive sooner at points where capital raising, M&A, strategic advice, or IPO preparation become relevant. AI could therefore reduce the effort required per engagement while increasing the number of potential engagements.

Whether these forces offset one another remains unclear. That uncertainty is precisely why the impact on banking headcount cannot be evaluated solely by counting the hours AI saves on individual tasks.

Question 3: Will AI Compete With Banks for Talent?

The discussion is not only about banking jobs. It is also about who chooses to become, or remain, a banker.

For decades, investment banking competed with private equity, hedge funds, corporate development, consulting, and technology companies for ambitious analytical talent. AI-focused businesses are now joining that competitive set. Banking leaders are hearing about many junior and mid-level professionals exploring AI-related roles, much as earlier generations left for traditional technology businesses, startups, or the buy side.

This is a particularly acute challenge today. As deal flow has rebounded during the last 12 to 18 months, the post-COVID talent imbalance left investment banks with shortages of Associates and Vice Presidents. With additional competition from AI companies, firms across the industry are struggling to find experienced mid-level bankers capable of executing transactions.

Potentially more consequential over the long term is what happens before candidates ever enter banking. Some students and young professionals who might once have viewed investment banking as a premier first career are considering AI-oriented opportunities from the outset. The appeal includes intellectually stimulating work, innovation, competitive pay, potential equity upside, and proximity to a rapidly changing industry.

The concern is not that AI companies will attract every potential banker. It is whether they will disproportionately attract the most intellectually curious, technically inclined, and analytically gifted individuals whom banks increasingly need themselves. This remains an evolving signal rather than a settled market conclusion, but it is appearing more frequently in industry conversations.

Next in Part 2: What AI could mean for apprenticeship, organizational structure, and the future Managing Director.