Key Takeaways
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- Bank of America expects US economic growth of 2.4% in 2026, up from roughly 2% in 2025, with AI becoming a growing contributor.
- AI investment is starting to show tangible economic impact, shifting from hype to measurable productivity gains.
- BofA sees limited systemic risk if AI spending cools, as exposure is concentrated among a relatively small group of firms.
- Banks remain cautious lenders, focusing on leverage, contract duration, and demand certainty in AI-related projects.
What Happened?
Bank of America CEO Brian Moynihan said artificial intelligence is beginning to have a more visible and material impact on the US economy. Speaking in a Bloomberg Television interview, he noted that AI investment has been building throughout the year and is expected to contribute more meaningfully to growth in 2026 and beyond. BofA now forecasts US GDP growth of 2.4% next year, compared with about 2% in 2025, even as the labor market shows signs of normalization.
Why It Matters?
Moynihan’s comments signal a shift in how large financial institutions view AI—from a speculative investment theme to a real economic driver. For investors, this suggests AI spending is increasingly translating into productivity gains rather than remaining confined to capital-intensive hype. Importantly, BofA believes the broader economy is insulated from a potential AI pullback, since investment and leverage are concentrated in a narrow segment of companies. That reduces downside risk to consumers, employment, and credit markets if valuations or spending reset.
What’s Next?
Investors should watch whether AI-driven productivity gains continue to offset a cooling labor market in 2026. Lending standards around data centers and AI infrastructure will be a key signal of financial discipline in the sector. At the corporate level, broader adoption of AI tools—similar to Bank of America’s expansion of its Erica assistant—will help determine whether AI’s economic impact scales beyond technology leaders into the wider economy.
