Goldman Sachs Beat. JPMorgan Is Reporting Now. Here Is the AI Thread Running Through Both.
Goldman Sachs delivered Q1 results Monday that beat analyst expectations on both earnings per share and revenue, posting EPS of $17.55 against a consensus of $16.30 on revenue of $17.23 billion. But beneath the headline figures, the most interesting element of Goldman's quarter was not the trading revenue or investment banking pipeline. It was the language around AI.
CEO David Solomon has been consistently vocal about Goldman's AI ambitions, and the Q1 results provided the first concrete evidence of what those ambitions are producing. The firm has been deploying AI across its engineering, legal, and research functions, and Solomon indicated that efficiency gains from those deployments are contributing meaningfully to the margin expansion the firm is reporting.
JPMorgan is reporting this morning, and the signals heading into the release are similarly oriented toward AI as a structural rather than tactical theme. JPMorgan now has more than 200 AI use cases in production, a figure Jamie Dimon has cited repeatedly as evidence that the investment is translating into operational advantage. The firm is also one of the largest buyers of cloud and data center services that the AI infrastructure buildout requires, making its technology spending commentary a forward indicator of demand for Nvidia, TSMC, and the hyperscalers.
S&P 500 earnings growth estimates for Q1 2026 have risen to 13.9% year-over-year as of April 10, up from 12.7% before the Iran conflict began. The Finance sector specifically is expected to deliver 19.9% earnings growth on 9.2% higher revenues. Those are not the numbers of a sector struggling with AI transformation costs. They are the numbers of a sector where AI is beginning to show up in the bottom line.
