Lazard CEO Peter Orszag has predicted that artificial intelligence will fundamentally reshape investment banking, leading to leaner deal teams with a higher proportion of managing directors. In an interview, Orszag stated that AI will automate many tasks traditionally performed by junior bankers, such as data gathering and financial modeling, allowing firms to operate with smaller teams while increasing the senior-level oversight on deals.
AI's Impact on Deal Team Structure
Orszag explained that the traditional hierarchy of investment banking teams, with a pyramid structure of analysts, associates, and managing directors, will flatten. As AI takes over repetitive tasks, the need for large numbers of junior staff will diminish. Instead, teams will consist of fewer, more experienced bankers who can leverage AI tools to execute deals more efficiently. “You’ll have smaller teams, but with more managing directors relative to the total,” Orszag said.
Implications for Talent and Training
The shift raises questions about the future pipeline of bankers, as junior roles have historically been the training ground for future leaders. Orszag acknowledged that firms will need to rethink how they develop talent, possibly by focusing on skills that AI cannot replicate, such as client relationships, strategic judgment, and negotiation. He emphasized that AI will not replace the human elements of dealmaking but will augment them.
Lazard's Adoption of AI
Lazard has already begun integrating AI into its operations. The firm has developed proprietary AI tools to assist with market analysis, deal sourcing, and due diligence. Orszag noted that these tools are designed to enhance, not replace, the expertise of Lazard’s bankers. “We’re using AI to make our bankers more productive and to allow them to focus on the highest-value activities,” he said.
Industry-Wide Trends
Orszag’s comments reflect a broader trend across Wall Street, where banks are investing heavily in AI to cut costs and improve efficiency. According to a recent report from McKinsey, AI could potentially replace up to 30% of the work hours in banking by 2030. However, Orszag cautioned that the transition would be gradual and that the human touch would remain critical in advisory roles.
