Google risks search revenue by implementing AI features to win the artificial intelligence race
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IOL
iol.co.za

Google risks search revenue by implementing AI features to win the artificial intelligence race

The phrase 'just search on Google' has lost its former meaning. As AI-powered search gains popularity, the tech giant risks losing a significant portion of its search advertising revenue.

This behavioral shift is observable even within Google's own digital ecosystem: users are increasingly preferring conversational assistants like Google Gemini over traditional internet search engines.

In a sense, Google itself has accelerated this trend. When users enter a query in web browsers, AI-generated summaries are now displayed directly at the top of the results page, providing answers before the user clicks on any link.

The vulnerability of revenue is compounded by the fact that users can completely bypass Google by choosing standalone generative tools, such as ChatGPT or Claude.

Commenting on how these AI-generated summaries reduce traditional search revenue, Kim Scott, former head of Google's advertising division, told the BBC's Today programme that the tech company 'is better off eating its own lunch than letting someone else do it.' She noted that management is intentionally accepting short-term setbacks for a large, defensive long-term bet on artificial intelligence.

However, this strategic maneuver has brought enormous market costs. Alphabet's shares have fallen by more than 12% in the last six months amid growing investor anxiety.

From a real valuation perspective, Google's total market capitalization dropped from $3.97 trillion to $3.46 trillion in just one 24-hour trading period, serving as a stark reminder of the intense market volatility faced even by the world's most dominant corporations as AI takes control.

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Google's AI Mode generates less revenue per query than traditional search, despite increasing search volume
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tecnoblog.net

Google's AI Mode generates less revenue per query than traditional search, despite increasing search volume

Although AI Mode is encouraging users to perform more searches on Google, it still results in lower revenue per query compared to conventional search. Alphabet confirmed that queries made through the artificial intelligence-based tool have a lower monetization rate than traditional searches.

This information was disclosed during the presentation of third-quarter results. Revenue from searches and other ads grew by 12% year-over-year, reaching US$ 63.3 billion (approximately R$ 338.7 billion in direct conversion). However, this growth rate was slower compared to the 17% recorded in the second quarter.

Philipp Schindler, Chief Business Officer, clarified that part of this disparity lies in the format of the queries themselves. Many of these interactions occur in preliminary stages of the consumer decision-making process, implying that not all of them have a strictly commercial objective.

According to Google data, a search conducted in AI Mode contains, on average, three times more words than a standard search. This feature is capable of processing complex questions and allows the user to maintain a continuous dialogue with new requests.

AI Mode is available in Portuguese and provides an experience similar to chatbots like Gemini and ChatGPT. Unlike a simple list of links, this tool breaks down questions into multiple searches and constructs an answer using information collected from the internet.

The strategy to improve revenue involves inserting more advertising into the tool. Google began testing advertising in AI Mode in May 2025, presenting sponsored links that can be displayed within or below the answers generated by artificial intelligence. The company plans to expand these ads to Australia, Canada, India, and seven other markets this week. Furthermore, Brazil, Mexico, and the United Kingdom are expected to be included in this expansion by the fourth quarter of 2026. In the United States, Google has also begun testing ads displayed during questions within the same conversation.

Search remains one of Alphabet's main revenue sources. Although the segment showed quarterly advancement, the 12% growth fell short of the 17% in the second quarter and the 19% in the first quarter. The lower monetization of AI Mode is an additional point of concern, given that Google is investing more resources to maintain its artificial intelligence strategy.

Alphabet's infrastructure spending reached US$ 51.4 billion in the quarter, equivalent to over R$ 275 billion in direct conversion. This amount intensifies the need for new AI products to help sustain the company's advertising business.

Nevertheless, Google shows no intention of slowing down. The company assures that AI tools are already increasing search volume and plans to further increase its technology investments in 2027. The main current challenge is making these new searches as profitable as previous modalities.

Google's Financial Results: Cloud Segment Growth Contrasts with Search Revenue Slowdown Due to AI Investments
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techcentral.co.za

Google's Financial Results: Cloud Segment Growth Contrasts with Search Revenue Slowdown Due to AI Investments

Alphabet, Google's parent company, reported disappointing financial results in its core search advertising business, alongside a sharp increase in cash burn rates amid massive investments in artificial intelligence development.

Despite this, Google Cloud revenue more than doubled, indicating that enterprise clients are actively adopting the technology. However, investors, concerned about significant expenditures and the slowing growth of the dominant search engine, reduced the company's stock value by 10% after trading closed on Wednesday.

Dave Wagner, portfolio manager at Aptus Capital Advisors, noted that 'in a market worried that AI will displace the franchise, investors need to see acceleration in search, not deceleration.' He added that 'Cloud supports the history, but until search demonstrates that AI is an additive element, shares are likely to trade lower.'

According to LSEG data, the company reported a negative free cash flow of $9.1 billion, which was below analysts' expectations that projected near break-even. This marks the second consecutive quarter for Alphabet with negative free cash flow. In the previous quarter, aggressive spending on cloud capacity and AI development led to a burn of $5.9 billion, the first negative figure in 22 years for a public company.

Total revenue for the third quarter reached $127.6 billion, falling short of the analyst estimate of $128.2 billion. Although Google Cloud exceeded expectations, this was not enough to offset the $1.4 billion shortfall in the advertising sector; ad revenue reached $82 billion against an expected $83.4 billion. Net income available to Alphabet shareholders dropped by 25% to $26.17 billion, and adjusted earnings per share came in at $2.67, missing Wall Street's target of $3.02.

AI Mode

Chief Business Officer Philipp Schindler explained the stronger-than-expected slowdown in search advertising growth due to the broader use of the AI mode—the search engine's chat interface, which the company is still experimenting with for advertising. He informed analysts during the conference call that Google will begin implementing advertising in the AI mode in international markets.

CFO Anat Ashkenazi informed analysts that Alphabet still plans to significantly increase capital expenditures in 2027—from the current year's forecast of $195 billion to $205 billion. The executives did not provide a figure for next year, but investors expressed concern over such a large jump in spending.

Jeremy Salzburg, Senior Investment Analyst at Check Capital, stated that 'a capital expenditure figure of $300 billion could potentially scare the market, as free cash flow is now finally negative.' Ashkenazi also warned of potential short-term margin pressure due to the use of third-party cloud capacity.

These results reflect enormous expenses in building AI infrastructure, causing investors to worry both about potential overspending and the risk of falling behind competitors due to insufficient investment.

In contrast, competitor Microsoft, which also released its results on Wednesday, saw its shares rise by more than 5%, supported by positive free cash flow that exceeded analyst forecasts.

Alphabet attempted to compensate for the unsatisfactory advertising figures by highlighting its cloud computing division, notably by having Thomas Kurian, CEO of Google Cloud, speak on the earnings call for the first time.

Google Cloud revenue more than doubled to $30.71 billion in the third quarter ending September 30th, beating forecasts. Kurian noted that sales of Google's Tensor Processing Units (TPUs), which compete with Nvidia GPUs, have become a significant contribution to the business. In the previous quarter, Alphabet began recognizing revenue from direct sales of what it calls 'TPU systems,' which include chips and associated hardware and software.

However, Ashkenazi cautioned that increasing TPU inventory will put additional pressure on free cash flow. She reported that Google Cloud's order backlog grew to $561 billion, and Alphabet expects to recognize over 55% of it as revenue within the next 24 months.

Google Cloud, the third-largest cloud service provider globally after Amazon Web Services and Microsoft Azure, has expanded its enterprise commitments through multi-year agreements for cloud technology and AI infrastructure in cybersecurity, retail, and financial services.

It is projected that Alphabet, Microsoft, Amazon, and Meta combined will spend over $700 billion in 2026 to expand their data centers for AI, chips, and high-performance networking. Since cutting-edge chips and data center capacity are scarce, Alphabet's investments in proprietary TPUs alongside third-party GPUs have helped expand its capacity.

Gemini 4 Carbon

Earlier on Wednesday, Google attempted to preempt the earnings release and refute the notion that it is losing the AI race by introducing its new Gemini 4 Carbon model. CEO Sundar Pichai stated during the call that this means the company is once again 'at the forefront.'

Following this, Bernstein analysts asked in their note: 'Has Google rushed the deployment of Gemini 4 models to compensate for softer financial results? And are the models ready for commercial implementation?' - Akesh Sriram and Kenrick Kai.

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