JPMorgan, Goldman Sachs Reducing Headcount with AI

Wall Street firms like JPMorgan Chase and Goldman Sachs are strategically integrating AI into their operations, aiming to automate tasks and enhance efficiency. Despite strong financial performance, both companies are adopting a cautious hiring approach, favoring AI implementation over headcount expansion. JPMorgan Chase’s Q3 profit increased 12% while headcount grew only 1%. Goldman Sachs plans to reorganize around AI capabilities and “constrain headcount growth.” These moves mirror tech sector trends, with operational roles being most vulnerable to AI-driven displacement. Both firms emphasize employee retraining.

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JPMorgan, Goldman Sachs Reducing Headcount with AI

Jamie Dimon, chief executive officer of JPMorgan Chase & Co., at the Institute of International Finance (IIF) during the annual meetings of the IMF and World Bank in Washington, DC, US, on Thursday, Oct. 24, 2024.

Kent Nishimura | Bloomberg | Getty Images

Wall Street is entering a new era defined by artificial intelligence, reshaping business models and impacting the workforce. Major players such as JPMorgan Chase and Goldman Sachs are actively developing strategies to integrate AI into their core operations, aiming to leverage the technology’s ability to automate knowledge-based tasks at scale.

Despite a year of robust performance driven by strong trading and investment banking revenues, these firms are exhibiting a cautious approach to hiring. This restraint indicates a strategic shift towards optimizing existing resources through AI implementation rather than expanding headcount.

JPMorgan Chase’s Q3 earnings report highlighted a 12% year-over-year profit increase, reaching $14.4 billion. However, headcount only increased by 1%. CFO Jeremy Barnum emphasized the bank’s focus on utilizing AI solutions to meet business needs, discouraging reflexive hiring practices.

JPMorgan Chase, a dominant force in global finance, is pursuing a comprehensive AI integration strategy. The initiative aims to infuse AI into every facet of the bank’s operations, from client engagement and employee workflows to back-end processes.

As of September, JPMorgan Chase employed 318,153 individuals. CEO Jamie Dimon has acknowledged the potential for AI to displace certain roles but has emphasized the company’s commitment to retraining affected employees. He also suggested that the overall headcount may continue to grow despite AI-driven efficiencies.

‘Constrain Headcount’

Goldman Sachs is similarly embracing AI as a strategic imperative. CEO David Solomon recently outlined the firm’s vision for reorganizing its operations around AI capabilities, following a quarter where profits surged 37% to $4.1 billion.

In a memo to employees, Solomon underscored the importance of agility and speed in leveraging AI effectively. He stated that “To fully benefit from the promise of AI, we need greater speed and agility in all facets of our operations, going beyond simply re-tooling our platforms and extending to the organization of our people, decision-making processes, and approaches to productivity and efficiency.”

The memo indicated that Goldman Sachs intends to “constrain headcount growth” and implement targeted layoffs this year. This move reflects the firm’s effort to optimize its workforce in conjunction with its AI deployment strategy.

Goldman Sachs’ AI project is designed to deliver tangible improvements across key performance indicators, including client experience, profitability, productivity, and employee engagement. The initial focus will be on streamlining processes like client onboarding and sales.

According to bank spokeswoman Jennifer Zuccarelli, despite the plans to constrain growth, the overall headcount has risen. This indicates that the AI strategy will be implemented gradually over the course of several years.

Tech Inspired?

The approaches adopted by JPMorgan Chase and Goldman Sachs are reminiscent of those seen in the technology sector. Companies like Amazon and Microsoft have communicated the potential for AI-related disruptions, including hiring freezes and workforce reductions, to their respective employees.

As AI technology becomes increasingly sophisticated and investors prioritize businesses that are leading the way in AI adoption, firms across different industries are being more transparent about the anticipated impacts of AI on their workforces.

Within the banking industry, the prevailing view is that operational roles, particularly those in the back and middle office, are most susceptible to AI-driven job displacement. The automation possibilities that AI offers, will lead to significant changes in how the banking industry operates.

For example, executives have stated that operational and support staff may decrease by at least 10% within the next five years, even as business volumes expand, thanks automation and process optimization.

CEO David Solomon’s memo suggested that the coming years may present challenges for some of Goldman Sachs’ workforce, as the company adapts and evolves within the industry. The integration of the changes will create both opportunities and challenges for Goldman Sachs’ employees.

“[The] firm has always been successful by not just adapting to change, but anticipating and embracing it.”

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