NEW YORK / SINGAPORE — October 30, 2026. One of the research firms that warned about the slowing artificial intelligence stock-market rally has issued a fresh message to investors: if the AI boom turns into a major correction, traditional defensive sectors could offer better protection than some of the industries that performed well during earlier technology selloffs.
Capital Economics, the independent global research consultancy, said in an October 29 asset-allocation note that investors should consider the relative resilience of defensive equities as questions grow about expensive technology valuations and the enormous amounts being committed to AI infrastructure.
The firm’s view arrives during a turbulent week for global markets.
Technology shares have fallen sharply as investors reassess whether spending on data centers, advanced processors and cloud computing will generate sufficient returns.
Capital Economics has also projected that the S&P 500 could decline toward 6,500 by the end of 2027 if the AI-led equity boom unwinds.
But the prediction does not mean an immediate crash is inevitable.
The bigger question is whether investors can prepare for a potential AI correction without abandoning the stock market entirely—and whether the sectors considered safe today will remain resilient if the selloff becomes widespread.
Capital Economics identifies the sectors that could weather an AI downturn
The key research note was published on October 29 by Capital Economics senior markets economist James Reilly.
The analysis examines how different stock-market sectors might perform if the artificial-intelligence investment boom turns into a broader market decline.
Capital Economics observed that energy and financial stocks had performed relatively well during some recent periods of technology weakness.
However, the firm cautioned against assuming that those results would necessarily repeat during a full-scale AI downturn.
Its central conclusion was that traditional defensive sectors would likely provide a better relative shelter.
Independent coverage of the research identified consumer staples and real estate as particularly relevant categories.
Consumer staples include businesses selling products that households generally continue buying even when economic conditions deteriorate.
These can include food, beverages, hygiene products and other household necessities.
Such companies may experience more stable demand than businesses dependent on discretionary spending.
Real estate, meanwhile, presents a more complicated proposition because property-related businesses can face significant interest-rate and financing risks.
The strategy therefore concerns relative positioning in a potential correction—not protection from every possible loss.
Why the firm believes the AI rally may be approaching its final stage
Capital Economics has taken an increasingly cautious view of technology-led equity markets.
In its September 30 asset-allocation outlook, the firm argued that the AI rally appeared to be reaching its final stages.
It also identified stretched valuations and growing financial-market vulnerabilities.
The concern is not that artificial intelligence has no economic value.
Rather, investors may have assigned exceptionally high valuations to companies whose future earnings depend on the continued expansion of AI investment.
Technology businesses are spending heavily on processors, data centers, cloud infrastructure and electricity.
Those investments may eventually produce substantial revenue and productivity gains.
But the timing and size of the returns remain uncertain.
When share prices already reflect optimistic forecasts, even strong earnings can disappoint investors if they fall below elevated expectations.
That creates a situation in which a commercially successful technology can coexist with falling technology-stock valuations.
S&P 500 at 6,500: What the forecast actually means
Capital Economics’ broader market outlook includes a projected decline in the S&P 500 toward 6,500 by the end of 2027.
The forecast represents an economic and market scenario, not a price target guaranteed to be reached.
The index could decline gradually if investors steadily reduce the valuations they assign to technology companies.
Alternatively, a sharp reversal in sentiment could produce a faster downturn.
A forecast of 6,500 also does not establish how every stock or sector would perform.
Some companies might continue increasing earnings even as the index falls.
Others could experience losses substantially greater than the market average.
The outcome will depend on interest rates, corporate profits, the pace of AI investment and the wider economy.
Capital Economics’ central warning is that investors should not assume the extraordinary gains associated with the AI boom can continue indefinitely.
Consumer staples emerge as a potential defensive refuge
Consumer staples are traditionally considered defensive because spending on essential household products tends to be relatively stable.
People continue purchasing food, basic beverages, cleaning supplies and personal-care products through most phases of the economic cycle.
This can support corporate revenue even when consumers reduce discretionary purchases.
But a defensive business is not necessarily a risk-free investment.
Shares can decline if investors have already pushed valuations too high.
Companies may face rising costs, weaker margins or competitive pressure.
Consumer spending can also shift toward cheaper alternatives during periods of economic strain.
A defensive allocation therefore requires attention to profitability, balance sheets and valuations.
Capital Economics’ preference for traditional defensive sectors is best understood as a relative risk-management approach, not an assurance that such stocks cannot lose value.
Why real estate is a more complicated choice
Independent reporting on Capital Economics’ strategy also identified real estate as a possible relative shelter from an AI-led correction.
But property-related shares have different risks from consumer-staples companies.
Real estate investment trusts and other property businesses may depend heavily on debt financing.
Higher interest rates can increase borrowing costs and place pressure on property valuations.
Occupancy, rental income and tenant creditworthiness also matter.
The sector may perform better when borrowing costs decline and economic activity remains reasonably stable.
But real estate could struggle if an AI downturn also triggers a credit crunch, recession or persistent inflation.
Investors should therefore avoid interpreting the sector’s inclusion as a prediction that property prices will automatically rise during a technology selloff.
The investment case depends on the type of property, its financing arrangements and prevailing economic conditions.
Energy stocks may not remain a reliable refuge
Energy companies have sometimes outperformed technology stocks during periods of market stress.
In 2026, elevated oil prices linked to the Middle East conflict have created additional support for some producers.
However, Capital Economics doubts that energy-sector resilience would necessarily continue during a broader AI bust.
The reason is that a severe market downturn could also weaken the outlook for global economic growth.
Slower industrial activity and transportation demand may eventually affect petroleum consumption.
Energy producers can benefit from higher oil prices, but those prices may not remain elevated under every scenario.
The sector also faces operational, regulatory and geopolitical risks.
In short, its recent performance does not guarantee future defensive characteristics.
Financial stocks could face risks beyond technology
Banks and other financial institutions have also performed relatively well during certain technology selloffs.
But a wider AI correction could affect them through several channels.
Corporate borrowers might reduce investment or experience weaker cash flows.
Loan defaults could increase if highly indebted technology infrastructure projects fail to meet expectations.
Falling asset prices could also influence investment portfolios, trading activity and market confidence.
This does not mean Capital Economics predicts that every bank would suffer major losses.
Financial institutions have different capital positions, lending exposures and business models.
However, the firm’s caution reflects the possibility that a major technology investment reversal could spread beyond share prices into credit and financing conditions.
That would make financial stocks less dependable as a defensive shelter than their performance during narrower technology corrections might suggest.
The AI financing boom is becoming a major investor concern
A central risk is the unprecedented amount of capital being directed toward AI infrastructure.
Research cited by WWC ONE MEDIA suggests that worldwide data-center investment could reach approximately $2.1 trillion by 2028.
The projection reflects demand for computing equipment, electricity systems, cooling, networks and the buildings required to operate advanced AI services.
WWC ONE MEDIA previously examined the forecast in Bank of America Predicts $2.1-Trillion AI Data Center Explosion by 2028 — But Could a Global Power Shortage Bring the Entire Boom Crashing Down?.
That $2.1-trillion figure is a forecast rather than money already spent or financing guaranteed to materialize.
The economic challenge is that the industry must eventually generate enough revenue to justify the investment.
If businesses adopt AI services more slowly than expected, some infrastructure projects may produce disappointing returns.
This could pressure companies and investors that assumed years of exceptionally rapid growth.
HSBC has warned that not every AI data center will be profitable
Concerns about AI investment quality are no longer limited to stock-market strategists.
HSBC Chief Executive Georges Elhedery has warned that investors and lenders should carefully examine the financial economics of data-center projects.
WWC ONE MEDIA analyzed that warning in HSBC Sounds Alarm Over $4.1-Trillion AI Debt Boom as Data Center Investments Soar — But Not Every Project May Survive.
The report discussed the importance of reliable customer contracts, sustainable pricing and manageable borrowing costs.
A data center can possess advanced processors and still fail to generate enough cash to service its financing obligations.
HSBC’s warning does not mean the bank believes artificial intelligence will fail.
It illustrates the difference between the technological usefulness of AI and the financial viability of individual investments.
That distinction is also central to Capital Economics’ cautious equity-market outlook.
AI companies’ interconnected financing arrangements add another layer of risk
The financing structure behind the AI industry has become increasingly complex.
Some technology companies invest in AI developers that purchase computing services or hardware from their investors or commercial partners.
Such relationships can support legitimate business expansion.
However, they may also make companies more financially dependent on the same network of customers and suppliers.
WWC ONE MEDIA previously investigated the issue in AI Giants Are Funding Each Other in a Trillion-Dollar Money Loop — But Global Financial Watchdogs Warn the Boom Could Unravel.
The article examined warnings from the Bank for International Settlements and the International Monetary Fund about concentrated exposure and interconnected investment arrangements.
Circular financing is not automatically fraudulent or improper.
But if underlying demand develops more slowly than expected, financial stress may affect multiple companies at once.
That possibility helps explain why investors are increasingly evaluating the quality of AI-related revenue and cash flows instead of focusing only on growth announcements.
Wall Street is already showing signs of sector rotation
Recent market performance offers evidence that investors have been moving away from some technology-related exposures.
A Weiss Ratings analysis published October 29 examined the six weeks between September 11 and October 23.
Over that period, the market-capitalization-weighted S&P 500 declined approximately 0.6%.
But the equal-weighted S&P 500 gained 1.2%.
Healthcare shares led the major sectors with a gain of approximately 9.6%, while consumer staples advanced 5.5%.
The difference suggests that weakness in large technology companies was having an outsized effect on the headline market index.
It also indicates that gains were becoming more widespread outside the largest technology shares.
However, six weeks of sector performance do not establish which investments will lead over the next year.
The figures provide evidence of recent rotation, not proof that a prolonged AI bear market has begun.
Asian technology stocks are feeling the pressure
The latest technology selloff is also affecting Asian markets.
Reuters reported on October 30 that renewed concerns over technology spending pushed major Asian indexes lower.
Shares in semiconductor and electronics companies weakened as investors reassessed future demand for AI infrastructure.
Japan’s Nikkei fell, while South Korean stocks also experienced substantial selling pressure.
The concerns are important because Asian manufacturers produce many of the components used in AI data centers.
Processors, high-bandwidth memory, networking equipment and semiconductor manufacturing tools are supplied through international production chains.
If AI infrastructure investment slows, demand expectations for those businesses could weaken.
WWC ONE MEDIA examined the regional market reaction in Asian Chip Stocks Plunge as Amazon’s AI Spending Sparks Funding Fears — But Could the $2.1-Trillion Data Center Boom Be at Risk?.
The article reported declines in Asian chipmakers and concerns about the financing of large technology investments.
The market reaction does not prove that semiconductor demand will collapse.
It shows that investors have become more sensitive to the possibility of slower future growth.
Government bonds are attracting renewed interest
The recent decline in technology stocks has coincided with increased demand for government bonds.
Reuters reported that US Treasury prices rose strongly on October 30 as investors sought more defensive assets.
The US 10-year Treasury yield was on course for a decline of approximately 37 basis points during October.
Bond prices generally rise when market yields fall.
This can make high-quality government bonds an effective diversifier during some equity-market downturns.
Capital Economics has separately argued that Treasuries could provide protection during a major AI bust, even though rising oil prices may complicate their performance during shorter market disruptions.
However, bonds also carry risks.
Long-duration bonds can decline significantly if inflation or interest rates rise.
Credit risk, currency movements and the timing of purchases can also affect returns.
Investors therefore need to distinguish government securities from riskier corporate debt and consider the maturity structure of their holdings.
A major AI correction would not mean artificial intelligence has failed
The history of financial markets shows that groundbreaking technologies and investment bubbles can exist simultaneously.
The internet transformed the global economy despite the collapse of many technology stocks after the dot-com boom.
Similarly, artificial intelligence could deliver important productivity improvements even if some companies prove to be overvalued.
A market correction could reflect excessive expectations rather than the failure of the technology itself.
The relevant questions are whether companies can earn enough money from customers, whether infrastructure capacity matches real demand and whether valuations adequately reflect risk.
Not every company associated with AI faces the same financial exposure.
Large businesses with diversified revenues and strong balance sheets may respond differently from highly leveraged infrastructure developers.
A broad label such as “AI stock” can therefore hide substantial differences in business quality and financial resilience.
What does the warning mean for investors in the Philippines?
Filipino investors with exposure to US stocks, international funds or technology-focused investments may be affected by changes in global market sentiment.
The performance of the Nasdaq and S&P 500 can influence the valuation of international equity portfolios.
Currency movements can also change returns when overseas investments are measured in pesos.
However, a US market forecast does not automatically predict the direction of the Philippine Stock Exchange index.
The Philippine economy and listed companies have different sector exposures and domestic economic drivers.
For individual investors, the broader lesson is concentration risk.
A portfolio heavily dependent on a small number of technology companies may be particularly vulnerable if AI-related valuations weaken.
Diversification can reduce exposure to specific companies or sectors, but it cannot guarantee positive returns.
The appropriate balance depends on investment objectives, time horizon, liquidity needs and risk tolerance.
What indicators should investors watch next?
Several developments could help determine whether the AI rally recovers or weakens further.
Corporate earnings will be especially important.
Companies need to demonstrate that demand for AI products and services is translating into sustainable revenue and cash generation.
Investors will also monitor capital expenditure plans.
Large technology companies may continue investing, but changes in projected spending could affect suppliers and infrastructure developers.
Credit conditions are another important signal.
If financing costs rise sharply for AI-related businesses, projects may be delayed or canceled.
Finally, market breadth can provide useful information.
If defensive sectors continue outperforming while technology shares weaken, that may indicate a broader change in investor preferences.
But none of these indicators should be treated as a guaranteed timing signal for a market crash.
The bigger question: Can investors find shelter if the AI boom unwinds?
Capital Economics’ October 29 warning reflects a significant shift in the market debate.
For much of the AI boom, investors focused on which companies would benefit most from rising demand for processors, data centers and digital services.
Now the question is increasingly about what happens if expectations are too optimistic.
The firm believes traditional defensive sectors could provide better relative protection than areas such as energy and financials during a severe AI correction.
Its broader forecast of an S&P 500 decline toward 6,500 by the end of 2027 reinforces that caution.
But the projection remains uncertain.
AI spending could continue supporting economic growth, corporate profits could exceed expectations, and markets could rebound.
Equally, a disappointing return on massive infrastructure investments could trigger deeper valuation declines.
Capital Economics has identified where investors might find relative shelter if the AI rally turns into a broader market downturn. But with trillions of dollars in projected investment and increasingly interconnected financial risks, the bigger question is whether today’s defensive positioning will be enough if the AI boom suffers a much more serious reversal.
