Alphabet shares fell about 10% in after-hours trading after the Google parent reported weaker-than-expected advertising revenue, missed Wall Street earnings forecasts, and recorded negative free cash flow, intensifying investor concerns that its costly artificial intelligence expansion is beginning to strain a business long regarded as one of the technology industry’s most reliable cash generators.
The results exposed a growing imbalance in Alphabet’s financial performance. Google Cloud revenue more than doubled, reflecting stronger corporate demand for computing and AI infrastructure, but the expansion was not enough to offset weaker advertising growth and a substantial increase in spending on data centers, chips and AI development.
Alphabet reported third-quarter revenue of $127.6 billion, below analysts’ expectations of $128.2 billion, according to LSEG data. Advertising revenue reached $82 billion, missing the $83.4 billion forecast, while adjusted earnings per share of $2.67 fell short of the $3.02 expected by analysts.
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Net income available to common shareholders declined 25% to $26.17 billion.
More concerning for investors was the company’s cash position. Alphabet reported negative free cash flow of $9.1 billion, compared with expectations that it would come close to breaking even. The company’s aggressive spending on AI infrastructure and cloud capacity contributed to a second consecutive quarter of negative free cash flow, marking a significant departure from its historical ability to generate substantial cash from its advertising business.
The combination of slowing growth in search advertising and rising capital expenditure has placed Alphabet at the center of a difficult debate confronting major technology companies: how much cash can they commit to AI infrastructure before investors begin to question the returns?
“In a market worried about AI cannibalizing the franchise, investors need to see search accelerating, not decelerating,” said Dave Wagner, portfolio manager at Aptus Capital Advisors.
“Cloud is carrying the story, but until search shows AI is additive, the stock’s probably going to trade lower.”
Search Advertising Faces Pressure As AI Changes User Behavior
Google’s advertising business remains central to Alphabet’s financial performance, making even a modest shortfall significant when the company is simultaneously increasing investment in AI.
Chief Business Officer Philipp Schindler attributed a larger-than-expected slowdown in search advertising growth to increased use of AI Mode, a conversational interface that allows users to interact with Google Search through AI-generated responses. The company is still experimenting with advertising in the interface, leaving questions about how effectively it can monetize users who increasingly obtain information through conversational exchanges rather than traditional search results.
Google plans to begin rolling out advertisements in AI Mode to international markets, Schindler told analysts during the earnings call.
But the shift has resulted in both an opportunity and a risk. AI-powered search could strengthen Google’s ability to answer complex questions, retain users, and compete with standalone AI assistants. But if the experience changes how users interact with search results, it could also affect the advertising formats and commercial links that have historically generated revenue.
The challenge has gone beyond Google’s ability to build competitive AI models. The company must now demonstrate that those models can preserve or increase the economic value of its search franchise.
AI development comes with substantial computing costs, while advertising monetization depends on user behavior, advertiser demand, and the effectiveness of the formats through which commercial messages are delivered. If AI features require more computing resources without generating proportionately higher advertising revenue, they could put pressure on margins even as the technology improves the product.
Alphabet’s results did not establish that AI Mode was responsible for the entire advertising shortfall. Schindler identified its growing use as a factor in the slowdown, but the broader commercial implications remain uncertain.
For investors, the concern is that Google may have to spend heavily to defend its dominant search position while simultaneously managing a transition that could change how that business makes money.
Google Cloud Growth Comes With a Heavy Infrastructure Bill
Google Cloud provided the strongest counterpoint to the weaker advertising results. Revenue at the unit reached $30.71 billion in the third quarter ended September 30, more than doubling from a year earlier and exceeding analyst expectations.
The performance reflects growing demand from businesses seeking cloud computing capacity, AI models and infrastructure to support deployment of AI applications. Google Cloud has expanded its enterprise commitments through multiyear deals across sectors including cybersecurity, retail and financial services.
Alphabet also highlighted the growing contribution of its tensor processing units, or TPUs, custom-designed chips that compete with Nvidia’s graphics processing units in certain AI workloads.
Google has begun recognizing revenue from direct sales of its “TPU Systems,” which include the chips alongside associated hardware and software. Chief Financial Officer Anat Ashkenazi said those sales had become a meaningful contributor to Google Cloud’s business.
The expansion gives Alphabet another route to monetize its AI investments beyond advertising and subscriptions. By supplying infrastructure to external customers, Google can generate revenue from organizations that need computing capacity without necessarily relying on its own consumer-facing AI products.
However, the infrastructure business also requires substantial upfront investment. Ashkenazi cautioned that building up TPU inventory would place further pressure on free cash flow, while the company expects near-term margin pressure from its use of third-party cloud capacity.
Google Cloud’s backlog had reached $561 billion, with Alphabet expecting to recognize more than 55% of that amount as revenue over the following 24 months, Ashkenazi said.
The backlog offers evidence of substantial contracted demand, but it does not eliminate the risks associated with delivering those commitments. Analysts say Alphabet must continue investing in data centers, chips, networking and power capacity, while managing the costs of fulfilling customer contracts.
The scale of the investment cycle is becoming increasingly important across the technology sector. Alphabet, Microsoft, Amazon and Meta are projected to spend well over $700 billion collectively in 2026 to expand AI data centers, computing capacity and high-performance networking infrastructure.
Supply constraints involving advanced chips and data center electricity have added further complexity. Alphabet’s use of custom TPUs alongside third-party GPUs gives it flexibility in meeting demand, but the strategy also increases the amount of capital tied up in equipment and infrastructure.
Capital Expenditure Raises Questions About Returns
Alphabet’s latest results have intensified scrutiny of its future spending plans. Ashkenazi said the company expects capital expenditure in 2027 to increase significantly from its forecast of $195 billion to $205 billion for 2026, without providing a specific figure for the following year.
The absence of a number has not prevented investors from considering how much larger the spending programme could become. A potential $300 billion capital expenditure figure would represent a substantial increase from the current forecast and could deepen concerns about cash generation.
“A $300-billion (capex) number could potentially scare the market because free cash flow now is finally negative,” said Jeremy Saltsburg, senior investment officer at Check Capital.
The concern is not that Alphabet should stop investing. Underinvestment could leave the company short of the computing resources needed to compete with Microsoft, Amazon and other AI developers. But spending more also increases the pressure to demonstrate that additional capacity will generate sufficient revenue and profits to justify the cost.
Alphabet’s cash-flow deterioration makes that calculation more immediate. Investors who previously viewed the company as a dependable source of excess cash must now account for a business absorbing significant amounts of capital as it builds out AI infrastructure.
The contrast with Microsoft was particularly notable on Wednesday. Microsoft shares rose more than 5% after its results showed positive free cash flow that exceeded analysts’ estimates, giving investors a more reassuring picture of the relationship between AI investment and cash generation.
Alphabet, meanwhile, attempted to counter concerns about its position in the AI race by unveiling its new Gemini 4 Carbon model before the results. Chief Executive Sundar Pichai said the release showed that Google was once again “leading at the frontier.”
But stronger model capabilities do not automatically resolve the financial questions facing the company. Bernstein analysts questioned whether Google had rushed the deployment of its Gemini 4 models to offset weaker financial metrics and whether the models were ready for commercial deployment.
Those questions capture the challenge facing Alphabet as the AI race moves into a more capital-intensive phase. The company must maintain competitive models, expand cloud capacity and protect its advertising business while showing that its investments can generate attractive returns.
Google Cloud’s growth and $561 billion backlog provide evidence that customers are committing to its infrastructure. Yet the advertising shortfall and negative free cash flow show that strong demand in one part of the business does not offset weaker performance or rising costs elsewhere.