Goldman Sachs Says AI Infrastructure Build-Out Is Driving Multi-Year Financing Demand

Goldman Sachs said the artificial intelligence (AI) infrastructure build-out is creating a multi-year financing opportunity for the firm, as growing investments in data centers, energy, and enterprise AI fuel demand for advisory, capital markets, and financing services.

The comments came as the investment bank reported record second-quarter results, with revenue rising to $20.34 billion and net earnings reaching $6.63 billion. Diluted earnings per share (EPS) was $20.98, while return on average common shareholders' equity (ROE) reached 23.5%, according to the company's earnings release.

"Our performance reflects the strength of our global franchise, the depth of our relationships, and our ability to harness the power of One Goldman Sachs in a very strong operating environment," Chairman and CEO David Solomon said during the earnings call.

Solomon said the AI investment cycle is expanding capital needs beyond core technology into infrastructure, energy, and data centers, creating opportunities for Goldman Sachs across structuring, financing, risk management, and capital markets execution in both public and private markets.

AI Investment Extends Beyond Technology

Goldman Sachs tied the AI build-out to broader strategic activity across corporate clients rather than limiting its outlook to technology companies. Solomon said businesses are pursuing greater scale while investing in AI, contributing to stronger mergers and acquisitions (M&A) activity and increased demand for financing.

He said the firm's advisory relationships increasingly lead to additional work across financing, capital markets, wealth management, and investment opportunities through its "One Goldman Sachs" operating model.

The bank also said its investment banking backlog reached its highest level in five years despite strong revenue generation during the quarter. Executives cited continued demand for strategic transactions alongside financing tied to AI infrastructure.

The firm's view aligns with its broader outlook that enterprise AI investment is entering a new phase driven by infrastructure deployment rather than experimentation.

Goldman also pointed to continued strength in Asset and Wealth Management, where total assets under supervision reached a record $4 trillion, while alternative fundraising totaled $59 billion during the quarter.

Goldman Expects AI Financing Cycle to Continue

Despite the optimistic outlook, Solomon cautioned that the AI investment cycle is unlikely to progress in a straight line.

He said the firm believes the industry remains in the early stages of AI infrastructure development and expects periods of recalibration over the next several quarters. However, Goldman continues to view the investment cycle as a multi-year opportunity that should support financing, capital formation, and advisory activity.

"We are in the relative early innings of a very, very significant AI build-out cycle," Solomon said during the analyst question-and-answer session. He added that the firm expects the cycle to continue over the next three to five years, even if short-term adjustments occur.

Chief Financial Officer Denis Coleman also discussed AI adoption inside Goldman Sachs, saying the firm is using AI to improve engineering productivity, automate internal processes, and help employees deliver faster insights for clients. He said management is focused on using AI to enhance employee capabilities rather than reduce its workforce.

Goldman's comments come as AI infrastructure investment continues to expand across the industry, including new partnerships to develop dedicated AI data center capacity.

The bank also reported a 25% increase in its quarterly dividend to $5.00 per share and repurchased $4 billion of common stock during the quarter. Management said it plans to continue deploying capital toward client financing opportunities while returning excess capital to shareholders, according to the earnings presentation.