Wall Street sent a clear signal this week: returns on AI investments are accelerating, driven by cloud computing businesses. Strong revenue growth in the cloud divisions of Microsoft, Amazon, and Google fueled significant stock price gains. In contrast, Meta, lacking a mature cloud-based monetization channel, continued to ramp up AI spending without generating direct profit returns, leaving its shares under pressure. The market is repricing AI winners, no longer simply rewarding the scale of investment, but focusing more on a company's ability to convert AI into revenue, profit, and cash flow.
If you're looking for the most direct signal of whether AI investments are starting to yield returns, Wall Street's answer this week is: look at cloud computing performance and stock prices.
After Microsoft's earnings release, its shares surged over 13% in a single day and climbed 19% for the week, breaking through from $389 to $460. Amazon rose over 15% in the same period, from $231 to $271. Alphabet rose 7% this week, with its stock price moving from $326 to $356, as the market reassessed the AI commercialization value brought by its accelerating cloud business. Oracle also benefited from cloud computing expectations, rising over 10% during the same period.
But the market is not indiscriminately chasing AI. Meta fell 6% this week, dropping from $593 to $556, due to its continued heavy investment in AI infrastructure without a direct monetization channel like cloud computing. Nvidia, the core of AI computing power, only rose 2% for the week, with its stock price fluctuating between $195 and $200. Investors are awaiting its earnings report on August 26 to validate the next cycle of AI capital expenditure.
This market movement is forming a clear divergence: The market no longer simply rewards the scale of AI investment, but rewards companies that can demonstrate that AI investments are translating into revenue, profit, and cash flow.
Cloud Business Takes Off, AI Commercialization Path Becomes Clearer
The second-quarter earnings reports from tech giants sent a clear signal: AI investments are transitioning from the capital expenditure phase to the revenue realization phase.
Amazon AWS, Microsoft Azure, and Alphabet's cloud business all significantly exceeded market expectations in the second quarter. AWS revenue grew 37% year-over-year, Azure grew 43%, and the combined cloud revenue of the three companies grew 48% year-over-year.
Against the backdrop of ongoing debate over AI business models, cloud computing has become the most easily verifiable monetization path. The giants build data centers, procure chips and computing equipment, and then provide computing power resources to enterprise customers through long-term contracts, converting infrastructure investment into cash flow returns.
Amazon's AWS achieved an operating margin of 39% in the second quarter. CEO Andy Jassy stated that the average payback period for computing equipment is less than three years, while the contract terms for most AI computing customers exceed five years, meaning the current investments have a long revenue realization cycle.
"The resulting revenue, free cash flow, and return on invested capital are very compelling," Jassy said, and proposed a long-term vision that AWS could potentially grow into a $1 trillion annual revenue business. In comparison, FactSet data shows analysts currently expect AWS to generate approximately $170 billion in revenue this year.
AI demand is becoming the core driver of cloud business growth. The current industry bottleneck has shifted from "Is there demand?" to "Is computing power sufficient?" AWS's agreement with Anthropic in April this year for a ten-year cooperation worth over $100 billion is a testament to the explosion in AI computing power demand.
Meta's Dilemma: Heavy Investment, Lacking Cloud Exit
Compared to Microsoft, Amazon, and Google, Meta faces a greater market test.
This social media giant is also investing heavily in AI infrastructure, but it lacks a mature cloud computing business and cannot directly generate revenue by renting out computing power like AWS, Azure, and Google Cloud.
Since the release of its second-quarter earnings, Meta's stock price has fallen about 5%. The company previously raised its 2026 capital expenditure guidance, and CEO Mark Zuckerberg said Meta is considering building its own cloud computing business, but it still lags far behind the three major cloud providers.
Wall Street is forming an increasingly clear judgment standard: The key to AI investment is not the scale of spending, but whether a company has a business model that can convert capital expenditure into sustainable cash flow.
Cloud computing has become the most mature answer currently, and companies lacking this commercialization path are facing more stringent scrutiny.
Earnings Quality Becomes the Next Core Test for Tech Stocks
Despite the strong earnings performance of tech giants, the market's reaction to the earnings reports has diverged.
Goldman Sachs data shows that in the TMT sector, companies that beat EPS expectations underperformed the S&P 500 by an average of about 192 basis points on the day following the announcement. In contrast, comparable companies in non-TMT sectors outperformed by an average of about 75 basis points.
This indicates that the market's pricing logic for tech stocks is changing: investors are no longer just focusing on whether short-term results beat expectations, but are placing greater importance on the sustainability and sources of earnings growth.
The tracking growth rate for S&P 500 aggregate EPS in the second quarter reached 45%. Of this, about 19 percentage points came from "other income" totaling approximately $151 billion in equity investments from Alphabet and Amazon, with Microsoft contributing another $3 billion. Excluding these factors, core earnings growth still reached 26%, the fastest pace since 2021.
Currently, AI infrastructure-related companies have contributed about one-third of the S&P 500's second-quarter EPS growth. Analysts expect this proportion could exceed 50% by the second half of 2026 and 2027.
However, cost pressures remain a risk that the market is watching. Over the past few quarters, the net profit margin of the median S&P 500 company has largely stagnated, and future margin expectations for most industries have been revised downward.
Goldman Sachs maintains its year-end S&P 500 target of 8,000 points and expects S&P 500 EPS to reach $385 in 2027. For the AI trade, the market's focus in the future will shift from the pace of capital investment to the sustainability of earnings growth.
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