
The stock market was volatile in November as the Federal Reserve managed investor expectations for a December rate cut. The volatility started after the Fed’s late-October meeting, when Chair Powell said a December rate cut was “not a foregone conclusion”. Market-implied odds for a third consecutive rate cut fell from 98% in late October to around 40% in mid-November, as multiple Fed officials questioned the need for another rate cut. The uncertainty weighed on the stock market, with the S&P 500 trading lower and eventually bottoming on November 20th. Sentiment then shifted again late in the month as comments from influential Fed members, rising unemployment, and favorable inflation data pushed the odds of a December cut back above 80%.
The market’s reaction wasn’t just about a -0.25% rate cut, but rather what the Fed’s decision signaled about the future. A December cut would affirm the bullish narrative that the Fed was pulling off a “soft landing”, whereby the central bank proactively lowers interest rates to reduce the risk of recession. When the odds of a December cut initially fell, the market sold off as investors reassessed that optimistic outlook. Leaving rates unchanged would keep financial conditions tighter for longer, potentially slowing the economy and earnings growth. The late month rebound, fueled by rising expectations of a December cut, reflected increased clarity and confidence about the path ahead.
Artificial intelligence remains a key market driver with 7 of the 10 largest S&P 500 companies, or nearly 30% of the index, tied to the AI industry. In November, there was a noticeable shift in investor sentiment toward AI stocks, moving from broad enthusiasm to increased scrutiny and selectivity. The month began with concerns over the expensive valuations of the Magnificent 7 tech giants, particularly those most reliant on the AI infrastructure buildout. Questions emerged about whether the massive capital spending on data centers and cloud infrastructure will translate into profits strong enough to justify the companies’ high valuations. This skepticism around AI’s economics led to a sell-off across the AI industry. Given the S&P 500’s extreme concentration in mega-cap technology stocks, the focused weakness was a major factor dragging down the index.
The AI investment cycle is maturing, with investors’ focus shifting from pure infrastructure spending to real-world application and monetization. Signs of AI fatigue have emerged as investors weigh the steep upfront costs against uncertain long-term economics and productivity gains. While AI remains a central theme in most 2026 market outlooks, investors are becoming more selective toward AI stocks, looking for tangible evidence of revenue growth and productivity improvements across the broader economy.
Source: Bloomberg as of 11/28/25
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