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Bank of America strategists say the familiar trade of buying companies tied to AI investment while betting against white-collar consumer spending may offer less easy relative return than before. Their message is not that AI spending is ending: it is that strong capex expectations may already be reflected in markets, while investors may be underestimating US consumers.
What BofA means by “the end of easy money”
In a report published October 5, 2026, Bloomberg News reported that Bank of America strategists led by Savita Subramanian saw the established AI-spending trade becoming harder to profit from on a relative basis. The trade pairs buying expected beneficiaries of AI-related capital spending with selling themes linked to white-collar consumption.
Subramanian said “alpha from buying AI capex beneficiaries and selling white-collar consumption themes may be harder fought.” Here, “easy money” is descriptive shorthand for a potentially less straightforward source of outsized relative returns; it is not a measurable outcome or a promise about market direction. The argument is that expectations of abundant AI spending, alongside pressure on discretionary spending associated with white-collar job losses, may already be reflected in investor positioning.
What the positioning data says—and does not say
The reported positioning analysis points to a crowded contrast between some AI-related exposures and consumer-linked sectors, but it describes long-only active funds, not every investor or portfolio.
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- Those funds had near-record-low positioning in “AI disruptees,” which the article defines as information-technology services, consumer finance, and software.
- Industrials were near record highs relative to consumer discretionary stocks.
- Fund managers were most overweight electronic equipment, instruments, and components.
These are observations about positioning, not proof that the underlying businesses are weak or that a reversal is imminent. Nor does the report identify individual securities to buy or sell.
Why consumer resilience is part of the call
BofA’s counterpoint is that US consumers may prove more resilient than the prevailing trade assumes. The bank’s prior year-ahead outlook had favored “capex over consumption”; the newer message is a selective adjustment to that emphasis, not evidence that the earlier view was wholly wrong.
Subramanian said, “We think it‘s time to selectively pivot, as it is dangerous to underestimate the appetite of US consumers and capex strength may be more priced in than not.” The wording points to two considerations at once: consumer demand could be underappreciated, and continued strength in AI-related capital spending may already be anticipated by investors. It does not amount to a blanket call to abandon AI exposure or buy consumer stocks.
What the reported performance figures show
AdvisorHub’s October 5, 2026 report, credited to Bloomberg News, gave the following trailing one-year figures. The article did not specify exact start and end dates for the 12-month window or identify the consumer-discretionary gauge by name.
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| Measure | Reported performance | Qualification |
|---|---|---|
| S&P 500 Consumer Staples Index | 4.6% | Past 12 months as reported October 5, 2026; exact window dates not stated. |
| Gauge of consumer discretionary stocks | -3.3% | Past 12 months as reported October 5, 2026; exact window dates and gauge not stated. |
| Lululemon Athletica | About -50% | Reported one-year decline as of the October 5, 2026 article. |
| Nike | About -50% | Reported one-year decline as of the October 5, 2026 article. |
These are dated snapshots, not forecasts or evidence that the same pattern will persist. They also do not, by themselves, establish why any index or company moved.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.How to read the report as an individual investor
The report is a strategist’s market view, not personalized financial advice. It gives no portfolio, investor time horizon, risk model, or named AI-beneficiary securities, and the original BofA strategy note was not available in the reporting. A reader can take the thesis as a prompt to distinguish three questions rather than as a ready-made trade:
- Is an investment exposed to AI-related capital spending, consumer demand, or both?
- Does current positioning suggest that a theme is already widely favored or neglected among the long-only active funds described?
- Could the expected strength already be reflected in the price, even if the underlying business trend remains intact?
Answering those questions requires company- and portfolio-specific analysis. The reported view supports a more selective assessment of the relative trade; it does not establish that any particular security is suitable for an individual investor.
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