---
title: "Can AI Break Even? The Market Provides an Answer Through This Week's Tech Giant Stock Performance"
type: "News"
locale: "en"
url: "https://longbridge.com/en/news/294604823.md"
description: "Wall Street sent a clear signal this week: returns on AI investments are accelerating through cloud computing businesses. Strong revenue growth in the cloud divisions of Microsoft, Amazon, and Alphabet drove significant stock price increases. In contrast, Meta, which lacks mature cloud monetization channels, saw its stock under pressure despite continued heavy AI investment, as it has yet to generate direct profitable returns. The market is re-pricing AI winners, no longer simply rewarding the scale of investment but focusing more on companies' ability to convert AI into revenue, profits, and cash flow"
datetime: "2026-08-02T11:09:31.000Z"
locales:
  - [zh-CN](https://longbridge.com/zh-CN/news/294604823.md)
  - [en](https://longbridge.com/en/news/294604823.md)
  - [zh-HK](https://longbridge.com/zh-HK/news/294604823.md)
---

# Can AI Break Even? The Market Provides an Answer Through This Week's Tech Giant Stock Performance

If you are looking for the most direct signal that AI investments are beginning to yield returns, Wall Street's answer this week is: **look at cloud computing business performance and stock price movements.**

Following Microsoft's earnings release, its stock surged more than 13% in a single day, accumulating a 19% gain for the week and breaking through from $389 to over $460. Amazon rose more than 15% during the same period, climbing from $231 to $271. Alphabet gained 7% this week, with its stock rising from $326 to $356, as the market reassessed the AI commercialization value driven by its accelerating cloud business. Oracle also rose more than 10%, boosted by positive expectations for its cloud computing segment.

**However, the market is not indiscriminately chasing AI.** Meta fell 6% this week, dropping from $593 to $556, because it continues to ramp up AI infrastructure spending while lacking the direct monetization channel provided by cloud computing. Nvidia, the core provider of AI computing power, rose only 2% for the week, with its stock oscillating between $195 and $200, as investors await the validation of the next AI capital expenditure cycle in its earnings report scheduled for August 26 local time.

This market trend is forming a clear divergence: **the market no longer rewards only the scale of AI investment, but rather companies that can prove AI investments are translating into revenue, profits, and cash flow.**

## Cloud Business Boom Clarifies AI Commercialization Path

The Q2 earnings reports from tech giants released a clear signal: AI investments are moving from the capital expenditure phase into the revenue realization phase.

**Revenue from Amazon AWS, Microsoft Azure, and Alphabet's cloud business all significantly exceeded market expectations in Q2.** Among them, AWS revenue grew 37% year-over-year, Azure grew 43%, and the combined cloud revenue of the three companies increased by 48% year-over-year.

**Amid ongoing debates about AI business models, cloud computing has become the easiest path to verify monetization.** Giants build data centers and procure chips and computing equipment, then provide computing resources to enterprise customers through long-term contracts, achieving a conversion from infrastructure investment to cash flow returns.

Amazon AWS achieved an operating profit margin of 39% in Q2. CEO Andy Jassy stated that the average **Payback Period** for computing equipment is less than three years, while most AI computing customer contracts exceed five years, implying a long duration for realizing returns on current investments.

"The resulting revenue, free cash flow, and return on invested capital are very compelling," Jassy said, outlining a long-term vision where AWS could grow into a business with $1 trillion in annual revenue. For comparison, FactSet data shows that analysts currently expect AWS revenue to be approximately $170 billion this year.

**AI demand is becoming the core driver of cloud business growth. The industry bottleneck has shifted from "whether there is demand" to "whether there is sufficient computing power."** AWS's agreement with Anthropic in April, valued at over $100 billion for a ten-year term, is a testament to the explosion in AI computing demand.

## Meta's Dilemma: Heavy Investment, But Lacking a Cloud Outlet

Compared to Microsoft, Amazon, and Alphabet, Meta faces greater market scrutiny.

**This social media giant is also investing heavily in AI infrastructure, but it lacks a mature cloud computing business, preventing it from directly generating revenue by leasing out computing power like AWS, Azure, and Google Cloud.**

Since the release of its Q2 earnings, Meta's stock has fallen by approximately 5%. The company previously raised its capital expenditure outlook for 2026, and CEO Mark Zuckerberg indicated that Meta is considering building its own cloud computing business, though it currently lags far behind the three major cloud providers.

Wall Street is forming an increasingly clear criterion: **the key to AI investment is not the scale of spending, but whether the company possesses a business model that can convert capital expenditures into sustained cash flow.**

Cloud computing has become the most mature answer, and companies lacking this commercialization path are facing stricter scrutiny.

## Earnings Quality Becomes the Core Test for Tech Stocks in the Next Phase

Although tech giants reported strong earnings, market reactions to their reports diverged.

Goldman Sachs data shows that in the TMT sector, companies beating EPS expectations underperformed the S&P 500 by an average of 192 basis points on the day following their earnings announcement. In contrast, similar companies in non-TMT sectors outperformed by an average of 75 basis points.

This indicates that the pricing logic for tech stocks is changing: investors are no longer focused solely on whether short-term results beat expectations, but place greater emphasis on the sustainability and source of earnings growth.

The tracked year-over-year EPS growth rate for the overall S&P 500 in Q2 reached 45%. Of this, approximately 19 percentage points came from roughly $151 billion in "other income" from equity investments by Alphabet and Amazon, with Microsoft contributing another $3 billion. Excluding these factors, core earnings growth still reached 26%, the fastest level since 2021.

Currently, **AI infrastructure-related companies have contributed approximately one-third of the S&P 500's Q2 EPS growth. Analysts predict that by the second half of 2026 and 2027, this proportion could further exceed 50%.**

However, cost pressures remain a risk concern for the market. Over the past few quarters, the net profit margin of the median S&P 500 company has largely stagnated, and profit margin expectations for most industries have been revised down.

Goldman Sachs maintains its year-end target for the S&P 500 at 8,000 points and expects S&P 500 EPS to reach $385 by 2027. **For the AI rally, the market's focus will shift from the speed of capital investment to the sustainability of earnings growth.**

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