Goldman Sachs CEO David Solomon said Monday that his outlook for the U.S. economy is "pretty constructive" due to artificial intelligence [1].
This optimism comes as financial leaders weigh the long-term impact of generative AI on labor markets and corporate efficiency. If AI successfully embeds into business operations, it could fundamentally alter the pace of national economic expansion.
Speaking on CNBC’s "Squawk on the Street" program in New York, Solomon said he is a "huge optimist" [2]. He said that artificial intelligence will drive a significant productivity boom as the technology becomes deeply integrated into various business sectors [3].
Solomon said that this shift will allow the economy to grow at a higher rate over the coming years. Specifically, he said that an AI-driven productivity boost could lift U.S. growth over the next five to 10 years [4].
While many economists remain divided on when AI will yield tangible GDP gains, Solomon said he is optimistic about the U.S. economy over the next seven years [5]. He said the technology will not remain a niche tool but will instead become a core component of how businesses operate [3].
The CEO's comments highlight a broader trend among Wall Street executives who view AI as a primary catalyst for efficiency. By automating routine tasks and enhancing decision-making, these tools are expected to reduce operational costs, and increase output across multiple industries [3].
“"pretty constructive"”
The perspective from Goldman Sachs suggests that the financial sector expects AI to move beyond the hype cycle and into a phase of structural economic contribution. By forecasting growth gains over a seven-to-10-year horizon, Solomon is signaling that the real economic value of AI is a long-term play rather than an immediate quarterly spike, contingent on how deeply businesses can integrate these tools into their core workflows.
