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Some investors believe Google's AI search problem is already reflected in its financial results

Google's third-quarter search revenue grew about 12%, below analysts' expectation of 15%, and some investors believe the problem of AI search queries growing fast but having low monetization capacity is beginning to show. Executive Philipp Schindler said on the earnings call that the strong growth of AI Mode queries affected revenue due to the lower level of monetization. In the same period, cloud business revenue grew 103% year over year to $30.7 billion, and the Gemini app reached 1 billion users.

Google stock plunges over 11% after earnings: AI spending devours cash flow, search monetization under pressure

After Alphabet released its earnings, its stock plunged more than 11% in a single day, wiping out about $500 billion in market value, because AI spending continues to devour cash flow, share buybacks fell to zero in the first nine months of 2026, and revenue growth in the core search business slowed from 16.8% in the second quarter to 12%. Google Cloud revenue doubled year over year to $30.7 billion, with its profit margin rising to 36.2%, but the shared AI research and development loss widened from $4.5 billion to $7.7 billion, and about half of the cloud business's profit increment was consumed before consolidation. JPMorgan called this earnings report a setback for the re-ignition of the AI/tech trade, while Goldman Sachs trader Thales Arruda said the market is shifting from rewarding capital expenditure growth to demanding evidence of returns.

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Meta's quarterly ad revenue gap with Google Search narrows to about $4 billion

Meta's advertising business is narrowing its revenue gap with Google Search, with quarterly revenue now differing by only about $4 billion. AI has increased Meta's ad delivery volume by 14% and raised prices by 12%, because it can better predict users' needs before they search.

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Day 130 of Xiaowei's gray release: WeChat breaks mini programs into parts and hands them to AI

It has been 130 days since WeChat's native AI assistant "Xiaowei" launched. Its entry points have expanded from the 16 officially disclosed to 28 measured by third parties, covering chat, search, official accounts, Channels, and PC. Through the developer integration guide released on June 8, WeChat requires developers to break mini programs into atomic interfaces and atomic components and write SKILL documentation; mini programs that have not integrated will be unable to be recommended and invoked by WeChat AI. The article also mentions that the development model must pass platform evaluation (80 points or above in the three items of service delivery, interaction experience, and performance quality, and 60 points or above in scenario coverage) to be eligible for invocation, while the invocation ranking rules have not yet been made public.

The agents helping users snag iPhone foldables are shaping the future of e-commerce in the AI era

Shopping agents such as Meta's Muse and xAI's Grok Bot snapped up inventory during the iPhone Duo pre-order; Amazon banned external agents on the grounds of violating its terms of use, while Shopify chose deep collaboration with Muse. Shopify disclosed that in the first quarter of this year, orders driven by AI search grew nearly 13-fold year over year and AI-driven store traffic grew 8-fold, but in the second quarter these two multiples fell back to 3-fold, and agentic commerce transaction volume remains very small relative to the platform's GMV. The article argues that Amazon guarding its advertising shelves and Shopify building an open pipeline are the most rational choices for each of the two business models, and outlines the position of the UCP protocol, Shopify Catalog and Shop Pay in agent transactions.

Baidu Dazi reaches 9.77 million MAU as the AI office flanking battle faces a phased major test

The QuestMobile Q3 2026 report shows that Baidu Dazi reached a combined 9.77 million MAU and 83.81 million total multi-device usage sessions, up 5,810% from June, ranking second on the AI office Agent list, behind only Tencent WorkBuddy's 32.353 million. The author traces its three-stage leap over half a year: in March it entered as a desktop agent, in August it launched 96 professional skills and 15 industry suites, and in September it launched an enterprise edition and integrated with Xiaodu hardware. The article argues that Baidu avoids head-on competition at the IM entrance and bets on the delivery standard DuMateBench, the data context of search and cloud storage, more than 30 expert suites, and the Xinchuang channel, but whether retention, renewals, and the rankings can become a general benchmark remains an open question.

When Meta Muse Collides with Amazon: AI Is Leaving the Chatbox to Contest the New Internet Gateway

Meta launched its personal AI Agent Muse last month. It has an independent virtual computer and browser and can send emails, book travel, and shop on behalf of users. It reached about 2.8 million downloads within two weeks of launch, and at the October 21 earnings call it was announced that more than 10 million people had activated it. Less than two weeks after launch, Muse was blocked by Amazon from accessing its shopping site. Amazon said AI Agents should identify themselves and respect whether the service provider permits entry. The article argues that the two sides are fighting over who controls the subsequent search, comparison, decision-making, and payment after consumers form purchase intent, while Google keeps intent-to-execution within its own system through its own ecosystem such as Universal Cart.

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Airbnb CTO Ahmad Al-Dahle on How to Transform Airbnb into an AI-Native Company

Ahmad Al-Dahle, former head of generative AI at Meta and now CTO of Airbnb, told Latent Space about Airbnb's AI-native transformation: currently 60% of code is written by AI, feature delivery volume has increased nearly 80% year over year, and per-engineer PR throughput has risen about 1.6x. Customer support was the first user-facing deployment scenario, with about half of tickets resolved by AI, which the company says is consistent with the nearly 45% figure in its Q2 earnings report. The internal organizational context graph Everest enabled two services—grocery delivery and airport pickup—to launch quickly, with the latter taking about six weeks to develop. Airbnb adopts a multi-model strategy, deploying at least 10 custom models and selecting models for different scenarios along the Pareto frontier of cost, performance, and latency: the strongest frontier models for coding, and smaller, faster post-trained models for search. The internal agent AirChat is already connected to MCP organizational context, and the team is advancing event-triggered asynchronous agents to automatically handle on-call.

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