Google Retains AI Overviews: Analysis of Search Changes and Ways to Bypass the Feature
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IOL
iol.co.za

Google Retains AI Overviews: Analysis of Search Changes and Ways to Bypass the Feature

Despite constant rumors about Google potentially abandoning AI Overviews at the top of search results, the tech giant is firmly sticking to its strategy. For the last two decades, the common advice when searching for information was 'Just search on Google.'

However, by 2026, a noticeable shift in user behavior is occurring. Users are increasingly less likely to say 'Just search on Google,' preferring phrases like 'Just ask ChatGPT,' as generative AI assistants become more deeply integrated into daily workflows and routines.

Instead of retreating from these changes, Google intends to further integrate conversational AI features and AI Overviews into its search architecture. Nevertheless, this strategy presents serious difficulties. Conversational AI formats are constantly criticized for potentially eroding traditional search advertising revenue, which poses a significant financial challenge to Google's core business model.

Concurrently, Google has begun embedding 'Top Stories' carousels directly within AI Overviews, effectively rendering the classic, separate news blocks obsolete on many search result pages.

For users who find the AI summaries useless and wish to completely bypass them, functional workarounds exist. By clicking the 'More' dropdown menu located directly beneath the search bar and selecting the 'Web' tab, users can instantly retrieve clean text results without interference from generated AI summaries. Desktop users can also utilize third-party browser extensions specifically designed to automatically block or hide AI Overviews.

Although AI Overviews are unlikely to disappear anytime soon, users still have practical means to restore a clean, traditional results page when needed.

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Google expands AI Mode ads to ten new countries, including Brazil in 2026
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olhardigital.com.br

Google expands AI Mode ads to ten new countries, including Brazil in 2026

Google announced the expansion of ad display in Search's AI Mode to ten new nations, placing Brazil among the markets that will receive this feature by the fourth quarter of 2026. This measure aims to increase the visibility of advertising in searches conducted through artificial intelligence (AI), keeping pace with the transformation in how users search for products and information on the internet.

Shashi Thakur, Vice President and General Manager of Google Search Ads, detailed that queries made in AI Mode tend to be, on average, three times longer than conventional searches. The company argues that this conversational format aids in a deeper understanding of user needs, allowing for the presentation of relevant offers.

Besides Brazil, the expansion schedule covers Australia, Canada, India, Kenya, Malaysia, New Zealand, Nigeria, Pakistan, the Philippines, and Singapore. Additionally, the company plans to introduce the feature in Mexico and the United Kingdom this quarter.

This expansion coincides with the integration of AI experiences into Google's main search service. Users are no longer solely dependent on short keywords but can now describe scenarios, compare options, and ask sequential questions to refine their searches.

For advertisers, this new pattern of behavior offers the opportunity to display their services and products at more precise points in the buying journey. However, for users themselves, the challenge arises of differentiating advertising recommendations from organic information, even when ads are embedded in an AI-based search experience.

Google assured that it will continue testing different formats to ensure that ads remain relevant and useful. Although the forecast for Brazil is the fourth quarter of 2026, the company did not specify an exact date for the implementation of the feature in the country.

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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