One of the most intense earnings weeks in history has arrived, presenting a crucial stress test for the AI capital expenditure narrative. This Wednesday, Alphabet, Microsoft, Amazon, and Meta are scheduled to release their first-quarter results simultaneously, followed by Apple's report on Thursday. Current consensus estimates have already fully priced in the collective capital expenditure of over $600 billion projected for these four companies by 2026. Rich Privorotsky, Head of Goldman Sachs Delta One, noted that the core market question is not the strength of demand—which is clearly robust—but whether capital expenditure can increase further. If capital expenditure plateaus, against a backdrop of rising input costs, it would effectively signal a slowdown, directly challenging the current AI market narrative. In this market structure dominated by AI capital expenditure logic, the semiconductor sector has emerged as the most direct beneficiary, with a year-to-date surge of 42%, far exceeding the Mag 7's overall gain of approximately 2%. Excluding Nvidia, the Mag 7's year-to-date increase is a mere 0.2%. However, Goldman Sachs also warns that positive surprises from AI spending are "almost the entire game," with semiconductor sector valuations reaching a price-to-earnings ratio of 60x, indicating a worsening risk-reward profile as technical momentum shifts from a tailwind to a headwind.
Capital Expenditure Expectations: Consensus is Fully Priced
The current race for computing power within the tech industry is fueling what Goldman Sachs terms a "Token Maxing" effect: engineering teams at major companies are competing to consume as much computing resources as possible. The perception that "under-spending equates to career risk" has created a perverse incentive, driving firms to spend aggressively even if inefficiently. Leading tech stocks have committed to a collective AI capital expenditure exceeding $7.4 trillion by 2026. The current consensus has already incorporated the combined capex of over $600 billion for Amazon, Microsoft, Meta, and Alphabet for 2026 into their models. Simultaneously, constraints have spread across multiple areas: shortages are evident in power supply, CPUs, GPUs, copper materials, and even engineering talent. Goldman Sachs stated that, from a fundamental perspective, it's difficult to argue currently: "Supply is constrained across multiple verticals, EPS growth is accelerating, and the market narrative (rightly or wrongly) is that we are on the cusp of the most important technological breakthrough in decades." However, the market is extrapolating the upside indefinitely—more computing power, higher intelligence, until eventually achieving Artificial General Intelligence (AGI)—this week's earnings will provide a crucial reference point for these expectations.
Semiconductors: Rally Reaches a Critical Zone
The semiconductor sector's rally has evolved into a self-reinforcing cycle: expectations and prices fuel each other, transforming the uptrend from "fundamentally supported" to "self-fulfilling." The sector's P/E ratio has climbed to 60x, with panicked chasing accumulating. Goldman Sachs believes this is the zone where "convexity risks begin to manifest"—parabolic rises always have an endpoint. Within the sector, leadership has subtly shifted. CPUs and analog chips are now leading the gains, while typically leading GPUs are expected to lag relatively. Goldman Sachs judges the current breakout "looks like an upward breakout, but trades more like a short squeeze"—positioning, fund flows, and forced buying are collectively pushing the market to chase right-tail risks. From an earnings contribution perspective, Micron Technology alone accounted for over half of the recent upward revisions to S&P 500 EPS. Its quarterly results and guidance significantly surpassed consensus expectations, with market anticipation of "infinitely extending" demand for AI memory chips pushing consensus valuations nearly double. The breadth of S&P 500 earnings revisions is narrowing, with median company consensus estimates barely changing, highlighting the extreme concentration of earnings momentum.
Hyperscale Cloud Providers: Divergent Shareholder Logic
Semiconductor stocks and hyperscale cloud provider stocks are exhibiting starkly different market reactions to the same capital expenditure wave, revealing a misalignment of interests between the two investor groups. Rich Privorotsky stated plainly that semiconductor stocks exhibit strong enthusiasm for capex growth—after all, that spending flows directly into their coffers; however, shareholders of hyperscale cloud providers have historically not been rewarded for increases in capital expenditure. "Last week we heard from the suppliers [semiconductor companies], this week it's the spenders' [hyperscale cloud providers] turn. The narrative for the latter is far more complex," Rich Privorotsky articulated. This divergence is clearly reflected in year-to-date performance: the Mag 7's overall gain is only about 2%, nearly flat when excluding Nvidia, creating a sharp contrast with the semiconductor sector's 42% surge. Hyperscale cloud providers are undertaking massive capital investments in the AI era, but significant uncertainty remains regarding when and how these investments will translate into shareholder returns.
Corporate Buybacks: Structural Demand Provides a Floor
As market sentiment faces a test, corporate stock buybacks in the US are providing a structural buffer for the equity market. Authorized buyback volumes have hit record levels, quiet periods are concluding, and total corporate buyback demand for the year is projected to exceed $1 trillion. This buying is price-insensitive, representing pure structural demand—companies are repurchasing shares aggressively at historic highs, continuously reducing the float and mechanically boosting earnings per share. For the currently high-flying market, this constitutes a significant source of passive support.
Market Landscape: Either in the AI Supply Chain or an Outsider
Rich Privorotsky's assessment of the overall market's risk-reward has turned cautious: "It's hard not to respect the strength of the AI money flow, but the velocity of this move is extreme. Relative to expectations, the upside surprise is almost entirely from AI spend—that's the whole game." Outside the main AI narrative, crude oil and refined product prices are capturing market attention, European equities are lagging, and market divergence is reaching extremes. Goldman Sachs concluded: "You are either in the AI supply chain, or you are not participating in this move. From current levels, the risk-reward has deteriorated, and the technical setup is shifting from a tailwind to a headwind." This concentration trend also extends to emerging markets: semiconductor-driven earnings growth is reshaping the entire EM structure, making it more concentrated rather than more diversified. For global investors, regardless of market, being inside or outside the AI supply chain is increasingly becoming the most critical determinant of returns.
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