Financial stocks fall as AI tools spark disruption concerns

Charles Schwab shares fell 6.1 percent on Tuesday, September 22, 2026. The S&P 500 Financial index closed down 2 percent, the S&P 500 bank index finished 3 percent lower, and Ameriprise Financial dropped 4.4 percent. Money managers ranked among the biggest decliners. Macrae Sykes, a portfolio manager at Gabelli Funds who manages investments in the financial industry, said the session reflected investor worry that artificial intelligence tools could undercut traditional financial businesses.

"There's worries about AI disruption to traditional businesses," Sykes said. "Clearly there's going to be some arguments both around the benefits and the disruption of AI tools and what it all means for the incumbents, but I think today is another sell-without-regard reaction."

That worry now had a ranking attached to it. Meta Platforms' AI agent Muse recently surpassed ChatGPT as the most-downloaded free iPhone app and rose to No. 1 on the U.S. Apple App Store. The ranking became the spark for fears that consumer AI tools could disrupt wealth management, the advisory service that helps clients from the affluent through high-net-worth and ultra-high-net-worth individuals and families structure, grow, preserve, and transfer assets. The work brings together portfolio advice with tax planning, estate planning, succession planning, and family governance. In the 2020s the field shifted toward digital and robo-advisory platforms that automate portfolio management once limited to high-net-worth accounts. An agent able to optimize customer funds around the clock could compete with traditional human advice and shrink the idle cash balances that sit in brokerage accounts, balances from which many institutions earn substantial income.

LPL Financial dropped more than 6 percent, Asia Business Daily reported. JPMorgan and Bank of America each fell more than 3 percent. Raymond James lost 3.5 percent. Money managers and large banks moved together.

Three pressures arrived together. Concern over AI competition with established firms ran alongside a flatter Treasury yield curve that can narrow the gap between what banks earn on longer loans and pay on shorter funding, and alongside uncertainty from delayed initial public offerings tied to AI infrastructure.

The second pressure was already visible in the bond market. The spread between two-year and 10-year Treasury yields briefly touched 17.90 basis points, the flattest level since March 2025. On August 18, 2026, the same gap had stood at 55.5 basis points. The curve flattened steadily after that date as traders raised their bets on Federal Reserve rate hikes. A yield curve shows the relationship between yields and time to maturity for a set of comparable debt securities. In practice the curve is usually built from one issuer, such as U.S. Treasuries, so that credit quality and other features stay as similar as possible from the short end to the long end. Analysts summarize the shape with a term spread—the simple difference between two maturities on that curve. The two-year to 10-year gap is one of the pairs used most often. A wider spread means a steeper slope; a narrower spread means the curve has flattened across those points.

"There's a tipping point between raising rates reflecting a strong economy and raising rates and having the effect of slowing the economy," said Rick Meckler, a partner at Cherry Lane Investments, a family investment office in New Vernon, New Jersey.

Concerns about the IPO market for companies tied to AI infrastructure moved through the same session. SB Energy, a SoftBank subsidiary and data-centre developer tied to AI infrastructure, had filed paperwork for a U.S. IPO. The firm originally planned to launch its investor roadshow in September, the stretch of meetings used to market an offering before shares are priced. It postponed that launch. A source familiar with the matter described the delay. SB Energy declined to comment. Nuclear-services firm Holtec suspended its planned U.S. IPO the prior week. The New York Times had reported on Monday on delays among companies tied to the data centers supporting AI. Both setbacks fed anxiety about the listing cycle for AI and data-centre names.

Investors continued to see longer-term support for the banking sector from the broader economic backdrop. Market participants pointed to solid employment and economic fundamentals as the factors that still supported the outlook for financial stocks. Those conditions had not shifted with the selling. The short-term forces had moved the indexes; the employment picture and the growth backdrop remained the slower reference points underneath the banks.

"The short-term noise does not affect our appreciation for the long-term outlook," Sykes said. "The outlook in general for banks is pretty good. There's a good economy and good employment. The fundamentals are good."

The two-year to 10-year Treasury yield spread later sat around 21 basis points as the session settled.