Wall Street CEOs keep getting pressed on AI — here's what banks have said about how they're using it

As major financial institutions dive headfirst into artificial intelligence, they are under increasing scrutiny regarding their hefty investments in this transformative technology. Last week, during quarterly earnings calls, analysts pressed bank executives on the returns of their AI spending, emphasizing the need for productivity improvements and changes in workforce dynamics. Bank of America's CEO, Brian Moynihan, defended his company's proactive approach to AI, framing it as a strategic advantage rather than a challenge. Similarly, Citi's leadership was questioned about their hiring philosophy amidst the rapidly evolving landscape influenced by AI advancements. The recent concerns about cybersecurity, fueled by Anthropic's Mythos model, further heightened the urgency for these CEOs to address safety protocols. The discussions come just days after top Wall Street leaders convened at a Treasury meeting to deliberate on the implications of cutting-edge AI technologies. The pressure to showcase tangible benefits from AI investments isn't new. For instance, JPMorgan Chase's CEO, Jamie Dimon, justified his firm's substantial AI expenditures, which amount to nearly $20 billion annually, asserting the necessity to stay competitive. In contrast, Bank of America has earmarked approximately $13 billion for tech in 2025, with plans for a 10% increase in 2026. As the integration of generative AI becomes widespread across operations—from trading floors to administrative tasks—the implications for workplace culture are profound. This shift is redefining the roles of software engineers and altering junior bankers' career trajectories. JPMorgan Chase is taking significant steps to lead in AI innovation, closely monitoring how its thousands of engineers utilize AI tools. An internal dashboard categorizes developers based on their engagement levels with GitHub Copilot. The bank aims to foster excellence by incorporating AI into its engineers' performance metrics. Recently, JPMorgan reorganized its commercial and investment banking sectors to optimize AI's potential, appointing Guy Halamish as COO to spearhead these efforts. The asset management division has also announced the launch of Proxy IQ, an in-house AI platform designed to streamline shareholder voting, marking a significant departure from traditional practices. Furthermore, the bank rolled out its generative AI platform to over 200,000 employees, demonstrating a commitment to revamping workflows across various roles. Wells Fargo's CEO, Charles Scharf, reported remarkable productivity gains, with engineers utilizing generative AI tools leading to a 35% increase in efficiency. The bank has also appointed former Amazon Web Services executive Faraz Shafiq to head its AI initiatives, signaling a trend of high-profile tech acquisitions in the finance sector. Meanwhile, Bank of America’s virtual assistant, Erica, has been widely adopted, with clients interacting with the tool over 3.2 billion times since its inception. Moynihan highlighted the diverse AI models in use, from daily market reports to automated client meeting preparations. Citi has embraced a grassroots approach to AI integration, training 4,000 employees as AI stewards. With tools now accessible to 182,000 staff members across 84 countries, CEO Jane Fraser announced that generative AI is yielding significant productivity improvements, saving the bank an estimated 100,000 developer hours weekly. Goldman Sachs, while investing $6 billion this year in technology, expressed a desire to increase spending to further leverage AI. The firm has been developing AI agents in collaboration with Anthropic to enhance internal processes like accounting and client onboarding. Morgan Stanley also revealed progress in AI adoption, with tools like DevGen.AI saving developers substantial time. The popularity of ChatGPT among the bank's interns underscores the growing reliance on AI solutions within the industry. As these financial powerhouses adapt to an AI-driven future, the landscape of banking is set for significant evolution.