The combined capital expenditures of the Big Four tech firms reached $170 billion in Q2, surging 78% year-over-year. The money has been spent—but how much has been earned back? AWS’s AI-related annualized revenue has surpassed $25 billion, while Azure’s has hit $37 billion, making cloud operations the strongest proof of monetization. Yet, the four companies’ combined free cash flow has plunged to a ten-year low of approximately $7 billion, with Google reporting its first-ever quarterly negative free cash flow. The race between capital spending and AI-driven revenue remains unresolved.
Tech giants are undergoing an unprecedented capital expansion, but market patience for this high-stakes gamble is diverging.
This earnings season has revealed a core contradiction: the scale and pace of AI investments far outstrip the rhythm of revenue monetization. Strong growth in cloud businesses has provided some companies with breathing room, while a collective deterioration in free cash flow has weighed on the share prices of others. The outcome of this battle for narrative dominance will gradually become clear over the next few years.
In this quarter's earnings report, $Amazon (AMZN.US)$ capital expenditures surged 69% year-over-year to approximately $54 billion, $Meta Platforms (META.US)$ capital expenditures jumped 83% year-over-year to $31.1 billion, $Microsoft (MSFT.US)$ capital expenditures also rose by 69%, $Alphabet-C (GOOG.US)$ and announced an increase in its full-year spending target by $15 billion, raising the upper end of its guidance to $205 billion. According to Wall Street estimates compiled by FactSet, the combined capital expenditures of the four companies are projected to reach approximately $1.6 trillion over this year and next. From the launch of the AI race in 2023 through June of this year, the four companies have already committed over $1.1 trillion in cumulative capital investments.
Market reactions have been sharply divided. Amazon’s cloud business posted its fastest growth since early 2022, sending its after-hours stock price up nearly 10%; Microsoft Azure achieved record single-quarter sales, driving its share price up more than 15% the following day. Meta’s stock declined over 7% due to weaker-than-expected revenue prospects coupled with continued spending expansion. Google reported its first-ever quarterly negative free cash flow since going public, causing its stock to fall more than 6% the next day. Combined free cash flow for the four companies dropped to a decade-low of approximately $7 billion—the lowest level on record.
Spending Scale: An Arms Race Without a Finish Line
Looking at single-quarter data, the combined capital expenditures of the four companies reached $170 billion in Q2 this year, an increase of approximately 78% year-over-year.
This figure continues to set new records each quarter, and upward revisions have become routine—Amazon raised its full-year capital expenditure guidance by $20 billion this quarter to approximately $220 billion, primarily due to sharply rising memory chip prices; Google increased its annual target by $15 billion; and Meta raised the lower end of its full-year capital expenditure forecast from $125 billion to $130 billion.
The persistent escalation in spending is partly driven by supply chain pressures.
According to reports, shortages of memory chips have driven up procurement costs. Microsoft disclosed in April that surging chip prices would add an extra $25 billion to its expenses this year. This cost pressure has even affected Apple, which is not directly engaged in the AI race—the company warned that rising costs would compress sales and profit margins, prompting its stock to drop 6.3% immediately thereafter.
RBC Capital analyst Rishi Jaluria stated, "There is essentially no end in sight for the growth in capital expenditures. Investors need these companies to walk a tightrope between AI investment and maintaining competitiveness in their existing businesses."
Cloud Computing: The Core Channel for Monetizing AI
Currently, the accelerated growth of cloud computing businesses provides the strongest support for the narrative of 'effective investment.'
Amazon Web Services (AWS) reported a 37% year-over-year increase in Q2 sales, reaching $42.2 billion, with operating profit rising in tandem; Microsoft Azure surpassed $100 billion in annual sales for the first time, achieving its fastest quarterly growth rate since 2022; Google Cloud added approximately $11 billion in revenue year-over-year.
The cloud businesses of these three companies serve a broad client base ranging from OpenAI and Anthropic to enterprise customers. Backlog driven by AI compute demand has become a key indicator underpinning growth expectations. The combined backlog of committed contracts for Amazon, Google, and Microsoft now stands at nearly $1.7 trillion—more than double the figure from a year ago.
During the earnings call, Amazon CEO Andy Jassy stated that cloud services are 'very likely to become a business generating trillions of dollars in annual revenue for us in the future.' Microsoft CEO Satya Nadella noted that the company opened 31 new data centers across five continents last quarter and expects its total compute capacity to double within two years.
AI Revenue: From Investment Narrative to Monetization Validation
In this quarter’s earnings reports, the four companies addressed the market’s central question—'Money has been spent; how much has actually been earned back?'—with more quantifiable responses than ever before.
Amazon provided the most concrete figures: AWS’s AI business now has an annualized revenue run rate exceeding $25 billion, and its custom-designed chips (Trainium and Graviton) have also surpassed $25 billion in annualized revenue—both representing triple-digit percentage year-over-year growth. Jassy highlighted these metrics as key disclosures during the earnings call, signaling Amazon’s move to isolate AI-related revenue from overall cloud performance for market scrutiny.
Microsoft reported an AI annualized revenue run rate of $37 billion. Combined with over 30 million paid seats for Microsoft 365 Copilot (up from approximately 20 million three months ago, a roughly 50% sequential increase), the company has established a dual monetization model centered on 'Cloud AI + Office AI.' Nadella emphasized, 'We are pushing the cost-efficiency curve across new frontiers to ensure every customer can translate tokens into tangible business outcomes.'
Although Google did not break out AI revenue separately, management confirmed that Vertex AI, the Gemini API, and TPU compute leasing were the primary drivers behind the 82% year-over-year growth in Google Cloud. Token processing volume via the Gemini API surged from 16 billion per minute last quarter to 22 billion per minute. Nearly 90% of Fortune 100 companies have already adopted Gemini Enterprise. Google Cloud’s backlog rose sharply from approximately $460 billion last quarter to $514 billion—an increase of over $50 billion—primarily fueled by enterprise AI demand. The company expects more than 50% of this backlog to convert into revenue within the next 24 months.
Meta’s AI monetization pathway is entirely embedded within its advertising engine.
This quarter, the annualized revenue run rate from AI-driven Advantage+ ad tools stands at approximately $75 billion, while AI-powered value optimization tools exceed $20 billion annually (doubling within a year). Enhancements to recommendation systems and ad conversion rates driven by AI have increased ad prices by 12% year-over-year and boosted ad impressions by 14%, propelling ad revenue across Meta’s family of apps to $59.4 billion, a 27% year-over-year increase. During the earnings call, Zuckerberg stated, 'AI is accelerating our core business today'—yet without a standalone cloud business as a direct monetization channel, Meta’s AI return on investment is harder for the market to price compared to the other three companies.
Free Cash Flow: Pressure Is Consensus; Divergence Lies in Expectation Management
Despite rising revenues, the deterioration in free cash flow was an unavoidable common theme in this quarter’s earnings reports.
Amazon generated $161.4 billion in operating cash flow over the past 12 months, up 33% year-over-year, but after deducting infrastructure investments such as data centers, free cash flow plummeted to negative $7.6 billion. Google reported negative free cash flow for the first time in its more than 20 years as a public company, with a single-quarter shortfall of approximately $6 billion. Combined free cash flow for the four companies fell to around $7 billion—the lowest level in a decade—with only Microsoft and Meta achieving positive figures.
Jassy acknowledged that 'in the short term, we will incur substantial capital expenditures and face free cash flow pressure while simultaneously building multiple data centers, given the roughly two-year lag between project initiation and operational deployment, until these data centers gradually come online.'
Dec Mullarkey, Managing Director at SLC Management, stated, 'For investors, the era of growth at any cost is over. They now expect to see spending translate into tangible results, as demonstrated by Google, Microsoft, and Amazon.' This partly explains why Meta’s stock faced greater downward pressure following its earnings release.
Concentration Risk: The Butterfly Effect of OpenAI and Anthropic
Another risk associated with this wave of capital expenditure is that a portion of the demand is heavily concentrated among a small number of AI startups.
The significant increase in backlog contracts stems largely from multi-year compute capacity purchase commitments by OpenAI and Anthropic. This means the return on investment for tech giants partially hinges on whether these two companies can continue securing financing and fulfilling their contractual obligations, as well as on the successful execution of their respective IPO plans.
According to Moody's, this structure has created "a more cyclical system that could obscure true demand," posing a non-negligible concentration risk.
Meanwhile, companies’ disclosures regarding future financial commitments have also revealed deeper balance sheet entrenchment risks.
According to the Financial Times, Meta, Google, and Microsoft collectively entered into nearly $900 billion in AI-related obligations in Q2 alone, covering data center leases, infrastructure procurement commitments, and new debt. In July, Meta added an additional $68 billion in data center lease commitments. Amazon has not disclosed similar detailed figures.
Diverging Narratives: Who’s Winning and Who’s Waiting
Following this earnings season, market scrutiny of tech giants’ AI investments is becoming more concrete—not just focused on "how much was spent," but increasingly on "how much was earned."
Amazon and Microsoft have temporarily earned market tolerance for their high capital expenditures, thanks to accelerating cloud revenue growth; Google, despite similarly strong cloud revenue, has raised investor concerns due to cash flow issues; Meta’s situation is more complex—AI-driven improvements in ad targeting contributed to a 28% year-over-year increase in total revenue, reaching $61 billion, yet without a direct monetization channel like cloud services, and coupled with CEO Mark Zuckerberg’s comments on leasing out data center computing capacity—which were perceived as lacking clear strategic direction—the market reacted negatively.
Alphabet CFO Ruth Porat stated during last week’s analyst call, "As long as we see these attractive investment opportunities, we will continue to invest." This sentiment reflects the shared stance among the leadership teams of all four companies. However, as RBC’s Jaluria noted, "Investors are being forced to reassess their timelines." The race between capital spending and AI-generated revenue remains unresolved.
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