AI Warnings Add to Oil, Bond and Fed Risks as Stocks Face a Rougher...

A sudden shift in the artificial intelligence narrative is adding to a volatile mix of macroeconomic pressures threatening to unsettle U.S. stocks, with investors confronting renewed oil inflation, rising Treasury yields and the growing prospect of a Federal Reserve rate hike this week.

Warnings from Anthropic CEO Dario Amodei and OpenAI CEO Sam Altman that the industry may need to slow the development of powerful AI models have struck the market at an uncomfortable moment. For years, investors have rewarded companies pouring money into AI infrastructure on the assumption that rapidly rising computing demand will translate into years of earnings growth.

That trade is now facing a more complicated test.

The latest safety warnings have introduced a new question into an already expensive AI investment cycle: whether the industry can continue increasing spending at its current pace while policymakers, researchers and even leading executives become more concerned about the risks of pushing frontier models too quickly.

The reaction was particularly severe among chipmakers, which are among the biggest financial beneficiaries of the AI boom. South Korea's SK Hynix and Samsung fell about 6% and 5%, respectively, in Asian trading, while the weakness extended into U.S. markets.

Shortly after Monday's opening bell, the S&P 500 was down 0.55% at 7,615.16, the Dow Jones Industrial Average had fallen 0.28%, or 148.91 points, to 52,424.38, while the Nasdaq 100 was down 1.27% at 28,996.28.

Among major technology companies, SK Hynix ADRs fell about 7%, Intel dropped 6%, Micron lost 6%, AMD declined 5%, Samsung fell 5%, Broadcom was down 4%, and Nvidia slipped 2%.

The selling suggests investors are becoming less willing to treat every increase in AI spending as automatically positive for technology valuations.

AI Trade Meets a Much Tougher Macro Environment

The latest AI concerns began gaining momentum last week after Anthropic researcher Jacob Coxon announced his resignation and warned that AI researchers were "gambling with our lives," reflecting broader concerns that more sophisticated systems could pose serious risks to humanity later this decade.

Other researchers subsequently raised similar concerns, prompting Amodei to call for a slower pace of development over the weekend. Altman agreed in a post on X, saying, "We need to pace the frontier."

Altman also said an OpenAI IPO this year would now be "ill-advised," adding another layer to the debate because a public listing would expose the company's enormous AI spending and development decisions to substantially greater shareholder scrutiny.

Microsoft appeared to move in a similar direction Monday by publishing a provisional code of conduct that would establish guardrails around the development of future AI models.

For markets, however, the timing may be more important than the individual announcements.

Technology stocks are confronting the AI debate while investors are already dealing with three major macroeconomic pressures.

Oil prices have surged as fighting in the Middle East threatens energy supplies. Brent crude rose another 4% Monday to above $109 a barrel, while West Texas Intermediate climbed 4% to about $104. The latest move followed new fighting and Saudi Arabia's decision to shut a pipeline designed to bypass the Strait of Hormuz.

Higher crude prices threaten to revive inflation precisely when investors had been hoping for monetary-policy relief. A prolonged energy shock could raise transportation, manufacturing and consumer costs while squeezing corporate margins.

The second pressure is the bond market.

The benchmark 10-year U.S. Treasury yield was around 4.98% Monday, approaching the psychologically important 5% level. Rising energy prices have contributed to expectations for higher interest rates, while persistent concerns over the U.S. government's fiscal position have also encouraged investors to demand greater compensation for holding long-dated debt.

A $6 billion Treasury buyback of long-dated securities failed to stop the sell-off.

Higher yields are important for technology stocks because they increase the discount rate applied to future earnings. That can put pressure on companies whose valuations depend heavily on profits expected years into the future, even when their underlying businesses continue to grow.

That makes the current market environment uncomfortable for the AI trade. Investors are simultaneously questioning the pace of AI spending and facing a higher cost of capital.

The third pressure is the Federal Reserve.

Markets are now pricing in roughly a 90% probability of a 25-basis-point rate increase at this week's policy meeting, up sharply from about 33% a month ago, according to CME FedWatch.

Investors will therefore be watching Wednesday's decision and Fed Chair Kevin Warsh's remarks for indications of how the central bank intends to respond to the combination of stronger energy prices, inflation risks and financial-market stress.

The result is a potentially self-reinforcing cycle. Higher oil prices push inflation expectations higher, higher inflation raises the prospect of tighter monetary policy, tighter policy supports higher bond yields, and higher yields put pressure on equity valuations. But simultaneously, AI safety concerns are challenging the growth assumptions supporting some of the market's most heavily valued technology companies.

Economist David Rosenberg said the deterioration is already becoming visible. The S&P 500 has lost about 1% over the past month, while the Dow and Russell 2000 are trading below their 50-day moving averages, suggesting weaker near-term momentum.

He also pointed to deteriorating market breadth, meaning fewer stocks are participating in the market's gains.

"In any event, we have reached a new chapter in this story," Rosenberg wrote of the AI trade, explaining that higher bond yields could cause the previously broad bullish narrative to reverse.

The concentration of the market's gains makes that risk more significant. If technology stocks weaken materially, the impact may not remain confined to the technology sector because many areas of the S&P 500 have become increasingly correlated with the performance of large technology companies.

Jefferies analysts also noted that the semiconductor sector was already under pressure before the latest AI warnings. The iShares Semiconductor ETF had fallen about 20% from its recent high and was down another 5% Monday morning.

Bank of America, meanwhile, raised its year-end S&P 500 target slightly to 7,400 but still saw that level as representing about 3% downside from current prices.

"There will likely be a better entry point for S&P 500," the analysts wrote, drawing comparisons with the 1970s, when markets faced inflationary pressure, currency concerns, Federal Reserve tightening and an oil embargo.

That historical comparison carries an important warning. BofA noted that the bear market of that period produced a decline of more than 40% and a sharp compression in price-to-earnings multiples. The present market is not a repeat of the 1970s, but the comparison illustrates why investors are becoming more sensitive to the interaction between inflation, interest rates and valuations.

The AI debate could ultimately prove to be temporary if companies continue producing strong earnings from their investments in computing infrastructure and AI applications. But the market no longer has the luxury of evaluating AI spending in isolation.

Investors are now asking whether enormous capital expenditures will generate sufficient returns while the cost of capital is rising and regulators and technology executives are becoming more cautious about the pace of development. That makes Wednesday's Fed decision particularly important. A hawkish message could reinforce pressure from oil and bonds, while any indication that policymakers remain concerned about growth could provide some relief.

Either way, the market enters the week with several sources of risk pointing in the same direction. The AI boom has not necessarily ended, but the assumption that it can continue driving valuations higher regardless of the macroeconomic backdrop is facing a much tougher test.