To The Moon

1️⃣ Hot CPI Meets the Rebound: Another Leg Down, or More Time to Build a Base?

Just as stocks began recovering from last week's sharp sell-off, inflation gave investors another question to answer.

According to Reuters, US headline CPI rose 0.4% month-on-month in October, above the 0.3% consensus forecast. On November 10, the Nasdaq Composite closed 0.74% lower, while the S&P 500 fell 0.38%. [1]

Two comparisons matter here: October's increase was below September's 0.6%, but above expectations for October. Inflation slowed, but not as much as investors had hoped. [1]

For equities, the question is whether that gap means faster rate hikes or higher interest rates, making the recovery in valuations take longer.

That brings us to today's central question: If the bottoming process takes longer, how should we adjust our portfolios to withstand another test of the lows while participating in a subsequent rebound?

There are two levels to consider: whether the equity portfolio is too concentrated in technology, and whether the overall portfolio needs a larger bond allocation. These adjustments serve different purposes and need to be assessed separately.

2️⃣ The Institutional View on Bottoming: The Correction May Be Near Its End, but Rates Remain a Headwind

First: How Much Bad News Has the Market Already Priced In?

In his official November 9 podcast commentary, Morgan Stanley Chief US Equity Strategist Mike Wilson argued that the correction looked "much closer to the end than the beginning." He pointed to the unwinding of crowded trades, lower valuations, and resilient earnings expectations in parts of the market. [2]

His view came with clear conditions. Stocks could test last week's lows again, potentially breaking below them briefly. Positioning and sentiment were closer to capitulation, but not quite there. A more hawkish Federal Reserve could also stretch the bottoming process into December. [2]

Wilson therefore preferred to use weakness over the coming weeks to gradually add risk, rather than waiting for every headline to feel reassuring. He still allowed for another test of last week's lows.

In its official November 10 article, published before the CPI release, UBS CIO also attributed the preceding rebound primarily to dip buying and a reversal of de-risking. It continued to view the AI-related sell-off as a positioning reset, rather than the start of a lasting downturn in the AI investment cycle. [3]

These views suggest that prices may already reflect some of the risks and that the rebound has a foundation. Whether it can continue smoothly still depends on new information about interest rates and earnings.

Second: Why Could Inflation Still Prolong the Process?

In the same article, UBS explicitly identified CPI as the next test of the rebound: a stronger-than-expected reading could lift bond yields and put pressure on equities. [3]

Federal Reserve Governor Christopher Waller provided a more specific policy rationale in his official November 10 speech. Speaking before the CPI release, he said he was inclined to support a 25-basis-point rate hike in December even if October inflation improved from September. Persistently elevated core inflation could warrant a larger policy move. This was his personal policy position. [4]

His concern extended beyond whether oil prices had fallen that week. He also focused on energy costs passing through to other goods and services, and price pressures in high-tech products associated with the AI buildout. Those pressures might not disappear quickly after one week of lower energy prices. [4]

This highlights the gap between "inflation is lower than last month" and "interest-rate pressure has eased." The 0.4% monthly headline CPI increase also cannot substitute for the core inflation measures Waller was discussing.

All of these institutional views preceded this CPI release. They provide a framework and conditions to watch; the latest data are testing those conditions. They do not establish that institutions have confirmed a market bottom or declared their earlier views invalid.

3️⃣ How Institutions Are Selecting Equities: From Crowded Themes to Verifiable Earnings Resilience

With the bottoming process potentially remaining uneven, institutional equity recommendations are becoming more selective.

Quality Cyclicals and Industrials: Have Expectations Fallen Further Than Fundamentals?

In his November 9 commentary, Wilson particularly favored quality cyclicals that had substantially de-rated while retaining strong earnings revisions, with industrials standing out. [2]

His evidence included durable relative earnings revisions in industrials, improving ISM backlog data, and freight volumes turning positive. In his assessment, parts of economic activity were still moving forward while the market had priced in a worse scenario. [2]

The core of this preference is therefore the relationship between prices and earnings expectations: have share prices fallen without a comparable deterioration in orders, demand, and profits? That needs to be checked company by company and subsector by subsector.

UBS approached the issue from a portfolio perspective. Investors whose technology exposure exceeded their intended allocation could broaden across sectors and regions. Its preferred US sectors included industrials and health care, while it continued to retain structural AI exposure. [3]

The emphasis differs: Morgan Stanley is looking for opportunities in the gap between valuations and earnings, while UBS stresses reducing excessive concentration. Both support a broader equity opportunity set, with earnings and portfolio composition remaining central to selection.

AI Adopters: Focus on Operating Benefits, Not Just the Scale of the Buildout

Wilson also identified AI adoption as one of his highest-conviction themes heading into 2027. He argued that more companies were quantifying cost savings and revenue benefits from AI, supporting his interest in adopters while remaining selective about capital-spending beneficiaries such as semiconductors. [2]

UBS also attached conditions to its technology preferences: existing computing capacity, visible AI revenues, strong balance sheets, and the ability to finance investment internally. [3]

These are not identical preferences. AI adopters use the technology to improve their own operations and can span industrials, health care, financial services, and other sectors. The technology platforms favored by UBS place greater emphasis on AI revenues and financing capacity.

Thus, industrials are part of the cyclical universe, while AI adoption is a selection criterion that cuts across sectors. Research can expand from "who builds AI" to "who improves profits with AI," but realized benefits and valuations still matter. Sector labels alone are not a sufficient reason to rotate.

4️⃣ How Institutions Are Using Bonds: Add Income While Managing Maturity and Credit Risk

After rotating within equities, a portfolio may still be driven primarily by equity risk. That is where the second level of adjustment comes in: the allocation between stocks and bonds.

In its November 10 article, UBS suggested that investors with significant bond underweights consider rebuilding strategic allocations, particularly in high-quality short- and intermediate-term bonds. Its rationale was attractive income and the potential to diversify portfolios during periods of equity volatility. [3]

This recommendation needs to be understood in the context of the holding period. For investors prepared to hold for some time, bonds can add interest income. Shorter- and intermediate-maturity bonds are also generally less sensitive to changes in interest rates than long-duration bonds.

But bond prices can still fall if yields keep rising. Credit quality shapes exposure to default and credit-spread risk; duration affects a bond's price sensitivity to interest rates. An inflation shock can put pressure on stocks and bonds at the same time.

The intended role of a larger bond allocation therefore matters: is it to generate relatively steady income, reduce the equity allocation, or bet on falling yields? The first two can help balance a portfolio; the third requires a separate interest-rate call.

5️⃣ Our View: Adjust the Risk Structure Before Deciding How Much Exposure to Add

Our view is that this CPI release increases the risk of an uneven bottoming process, but one upside surprise and one down day are insufficient to establish that a new, sustained decline has begun. We still need to see whether the repricing of interest rates persists and whether corporate earnings can withstand higher rates.

The more useful sequence now is to assess existing positions before deciding where the next dollar should go.

First, address excessive technology concentration. If the portfolio depends heavily on a few AI companies or a single capital-spending thesis, rebounds can provide an opportunity to restore target weights. A portfolio that is already diversified and aligned with its plan does not need to sell mechanically because of one CPI release.

Second, seek equities with stronger earnings evidence. Quality cyclicals, industrials, and AI adopters can enter the research universe, with orders, earnings revisions, cash flow, and valuations guiding selection. Industrial businesses can also be affected by demand and financing costs. AI adopters need to show that savings exceed implementation costs and that the resulting profit gains remain with the business.

It is also worth checking whether new and existing positions depend on the same source of demand. If an industrial company's orders come mainly from the same AI data-center buildout, changing the sector label may do little to diversify the original capital-spending risk.

Third, if total equity risk remains too high, consider rebuilding exposure to high-quality short- and intermediate-term bonds. They can reduce dependence on equity performance and add income. Maturities still need to fit the investor's cash needs and tolerance for volatility.

Together, these steps pursue one objective: reduce dependence on a single technology narrative, retain the ability to participate in a rebound, and leave room to respond to another test of the lows. Sector rotation changes the sources of risk within equities; adjusting the stock-bond mix changes the overall portfolio's dependence on the equity market.

This is a Capital_Insights framework based on the sources discussed in the article. Industrials are part of the cyclical universe, AI adopters can span sectors, and the diversification benefits of bonds depend on maturity and the source of risk.

We will focus on three sets of signals:

• Interest rates: Do subsequent core inflation readings, Federal Reserve communications, and Treasury yields continue to push expectations toward more aggressive rate hikes? Persistent pressure would call for greater caution when adding total equity exposure.

• The market and earnings: During another test of the lows, does weakness spread and do earnings downgrades become more common? During a rebound, do more sectors participate? If only a handful of stocks rise, the quality of the base still needs scrutiny.

• Evidence in the new opportunities: Are industrial orders and earnings expectations holding up? Can AI adopters repeatedly demonstrate operating improvements after implementation costs? If that evidence weakens, the rotation thesis also needs reassessment.

If rates stabilize and earnings remain resilient, gradually adding equities that meet these criteria becomes better supported. If rates keep rising and earnings estimates start falling, controlling total risk should take priority.

6️⃣ Your Turn: If Bottoming Takes Longer, Where Would Your Next Dollar Go?

Which action are you most inclined to take now?

• A. Keep existing technology exposure and wait for greater clarity on rates and whether the previous lows hold before adding.

• B. Reduce excessive technology concentration and add equities backed by evidence in orders, earnings, or operating benefits from AI.

• C. First add high-quality short- and intermediate-term bonds, reducing the overall portfolio's dependence on an equity rebound.

Which signal would most change your choice: stabilizing rates, upward earnings revisions, or companies beginning to deliver net benefits from AI? Share your reasoning in the context of your current portfolio.

Research Sources

[1] Reuters: The CPI Surprise and the November 10 US Market Close. The Yahoo Finance syndicated article displays November 11, 2026, at 5:26 a.m. Beijing time. Used for October headline CPI, the consensus forecast, the September comparison, and US closing returns on November 10.

[2] Morgan Stanley: A Stock Market Bottom in Sight. November 9, 2026; recorded at 11:30 a.m. in New York. Mike Wilson's complete official podcast commentary, covering another test of the lows, quality cyclicals, industrials, and AI adopters.

[3] UBS CIO: Dip Buying Lifts US Stocks After Tech Sell-Off. November 10, 2026. Official public article published before that day's CPI release, covering the positioning reset, inflation risk, equity concentration, and high-quality short- and intermediate-term bonds.

[4] Federal Reserve: Waller's Economic Outlook and Monetary Policy Remarks. November 10, 2026. Official text explicitly delivered before the CPI release. The policy position is Waller's personal view; the larger-hike scenario concerns core inflation.