US bank stocks experienced a broad sell-off on February 23, 2026, declining by low-to-mid single digits as investors reacted to a confluence of macroeconomic concerns. These included uncertainty surrounding recently announced tariffs, fears of potential credit losses linked to artificial intelligence-driven job displacement, and scrutiny over exposure to the private credit market. The downturn reflects a growing sensitivity to risk factors as the economic outlook becomes less certain, particularly regarding the impact of rapidly evolving technologies like AI on employment and financial stability.
The market’s anxieties aren’t necessarily signaling an imminent crisis, according to analysis from Morningstar. While acknowledging the valid concerns, their assessment suggests a recession or substantial rise in unemployment isn’t currently factored into their 2026 base case scenario. They view the level of private credit exposure held by most US banks as manageable. This nuanced perspective highlights the complexity of the situation, where legitimate worries are weighed against underlying financial strength.
Tariffs and Economic Uncertainty
Recent tariff announcements have injected a new layer of uncertainty into the US economic landscape, contributing to the downward pressure on bank stocks. The specific details of these tariffs weren’t detailed in available sources, but their announcement clearly rattled investors. Tariffs can disrupt supply chains, increase costs for businesses, and potentially dampen economic growth, all of which can negatively impact the financial sector. The extent of this impact remains to be seen, but the initial reaction suggests a cautious approach from investors.
The AI Disruption Risk
A significant driver of the recent stock decline is the growing concern that advancements in artificial intelligence could lead to widespread job losses. This, in turn, could trigger an increase in consumer-related credit losses as individuals struggle with unemployment. The fear is that AI-powered automation will displace workers across various industries, leading to a rise in defaults on loans and other forms of credit. However, Morningstar’s current outlook doesn’t anticipate a significant surge in unemployment, suggesting a more measured view of AI’s immediate impact on the labor market.
The potential for AI-related disruption is prompting a broader reassessment of risk within the financial sector. Banks are increasingly focused on understanding and mitigating the potential impact of AI on their loan portfolios and overall financial stability. This includes evaluating the creditworthiness of borrowers in industries vulnerable to automation and developing strategies to manage potential losses.
Private Credit Exposure: A Closer Look
Exposure to the private credit market is another area of concern for investors. Private credit, which involves lending to companies that don’t typically access public capital markets, has grown rapidly in recent years. While it can offer higher returns, it also carries increased risk due to limited transparency and potential liquidity issues.
According to Morningstar’s analysis, the median exposure to non-depository financial institutions (NDFIs) across banks they cover is approximately 11% of total loans. These NDFIs have diversified asset classes, and banks generally maintain internal underwriting limits by industry. A portion of this exposure, estimated at around 20% of total NDFI exposure across the US banking system, is linked to lending related to AI data centers, falling within the broader category of business credit.
Importantly, losses from NDFI lending by US banks have been manageable to date. Subscription line lending and secured real estate lending represent the largest components of this exposure, and both generally carry relatively low risk profiles. This suggests that, while private credit warrants careful monitoring, it doesn’t currently pose an immediate systemic threat to the banking sector.
Bank Capitalization and Fair Value
Despite the recent sell-off, Morningstar maintains its fair value estimates for US banks, viewing the sector as roughly fairly valued following the February 23 decline. On average, the sector is currently trading at around 1.0 times their fair value estimates. This suggests that the market’s reaction, while significant, hasn’t necessarily created a widespread undervaluation.
A key factor supporting this assessment is the strong capitalization of the US banking sector. Most banks are maintaining capital buffers of 150 to 200 basis points or more above their regulatory minimums, providing a cushion to absorb potential future credit losses. This robust capital position is a critical safeguard against economic shocks and helps to maintain the stability of the financial system.
Looking Ahead
The coming weeks will be crucial for assessing the trajectory of bank stocks and the broader economic outlook. Investors will be closely watching for further developments regarding tariff policies, employment data, and the performance of the private credit market. The U.S. Department of the Treasury is also expected to release a series of six resources throughout February, developed in partnership with industry and regulators, to strengthen cybersecurity and risk management for artificial intelligence in the financial services sector, as announced on February 18, 2026. More information on this initiative is available on the Treasury Department’s website.
The software sector is also facing increased borrowing costs and tougher scrutiny related to AI threats, according to Reuters, adding another layer of complexity to the financial landscape.
As the market navigates these challenges, a cautious and data-driven approach will be essential.
Disclaimer: This article is for informational purposes only and should not be considered financial advice. Investing in the stock market involves risks, and past performance is not indicative of future results. Consult with a qualified financial advisor before making any investment decisions.
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