Goldman Sachs CEO David Solomon says the rapid adoption of artificial intelligence (AI) across the firm will not reduce the need for employees but rather change the kind of talent the bank seeks.
Speaking to Axios ahead of the company’s 10,000 Small Businesses Summit in Washington, DC, Solomon said the technology would enhance productivity and create more opportunities for skilled professionals.
“We need more high-value people,” Solomon said. “We can afford more high-value people to expand our footprint and continue to grow and broaden our business.”
According to Solomon, AI will transform how analysts, associates, and investment bankers perform their duties, helping “productive people become even more productive.” He added that rather than shrinking its workforce, Goldman Sachs expects to grow its headcount over the next decade as the technology reshapes operations.
The bank is already implementing an AI-driven internal restructuring under its OneGS 3.0 initiative. In a memo to employees earlier this month, Goldman said it would introduce a “limited reduction in roles” as part of the transition, while also placing temporary limits on headcount growth through the end of the year.
A Goldman Sachs spokesperson told Business Insider that the firm still expects to end the year with a net increase in staff, noting that its global workforce expanded by 5% to around 48,000 employees in the third quarter.
Solomon explained that while AI will make some positions redundant, particularly in repetitive or back-office tasks, it will also allow the bank to expand into higher-value areas such as client engagement, strategic advisory, and software development.
“There are obviously things where we’re going to have a lot fewer people — but I’d love to have the capacity to go get more people to spend time with clients,” he said at a recent conference, emphasizing that automation will enable more human focus on relationship-building and innovation.
Investing in the AI Future
Goldman Sachs has spent $6 billion on technology this year, according to Solomon, who described the bank as evolving into “a much bigger enterprise.” The firm currently employs around 12,000 technologists, many of whom are working on integrating AI into functions such as risk management, compliance, trading, and software engineering.
Solomon said he expects AI to have the most immediate and visible impact in software development, where automation and large language models are already accelerating code writing and testing.
Speaking on CNBC’s Squawk Box last week, Solomon cautioned that the speed of AI adoption could introduce “volatility” across some job functions.
“The mix of engineers with this technology will again shift and change,” he said, adding that adaptability and technical fluency will become key traits for success in the firm’s next growth phase.
AI’s Expanding Role on Wall Street
Goldman Sachs is among several major Wall Street institutions aggressively deploying AI tools to streamline operations and enhance profitability. Banks, hedge funds, and asset managers are racing to incorporate machine learning into trading algorithms, market analytics, and customer relations, seeing the technology as central to future competitiveness.
Within the firm, executives view AI not as a cost-cutting measure but as a productivity multiplier that could help Goldman broaden its reach across global markets.
Solomon’s comments reinforce his broader message that AI will redefine, not replace, human capital at Goldman Sachs. He seems to believe that AI doesn’t mean fewer people, but rather means better people — people who can use these tools to drive growth.
As the bank heads into 2026, its challenge will be to balance short-term efficiency gains from automation with long-term investment in skilled personnel, a shift that could determine whether Goldman’s AI transformation strengthens its global dominance or simply reshuffles its workforce.






