Wacksman also pointed to Zillow’s professional footprint, saying agents who use one of Zillow’s products touch 80% of U.S. transactions, and Zillow helps fill more than 60% of rental listings. He highlighted Zillow’s integrated product set, including ShowingTime, Follow Up Boss and dotloop, and said connecting touring, CRM, financing and transaction data creates differentiated context for AI.He stressed Zillow’s direct relationship with users, citing 235 million unique visitors to Zillow Group sites and app ...

Zillow Group (NasdaqGS:Z) Update / briefing March 24, 2026 09:00 AM ET Company ParticipantsBrad Berning - VP of Investor RelationsCameron Swiggett - VP of Product ManagementCynthia Taylor - SVP of Agent Software and AdvertisingDae Lee - VP of Equity ResearchDavid Beitel - CTOJeremy Hofmann - CFOJeremy Wacksman - CEOJohn Colantuoni - Managing DirectorLloyd Frink - Co-founder and Co-Executive ChairmanMary Ellen D'Amico - Director of Investor RelationsMatt Cost - Executive DirectorMichael Sherman - SVP of Zill ...

Artificial intelligence (AI) has been a game-changer for many companies. For example, Alphabet experienced record-high Google search usage in the fourth quarter of 2025, and much of that growth was a result of the company adding AI Mode and AI Overviews to its search engine.The AI tailwind could persist across the tech sector for years. Consider that, according to a forecast from Statista, the artificial intelligence market will expand from nearly $350 billion in 2026 to a whopping $1.7 trillion by 2031. It ...

Group 1 - Alibaba Group is enhancing its artificial intelligence capabilities by hiring Zhou Hao from Google DeepMind to lead post-training research for its Qwen AI team [1][2] - Zhou Hao replaces Yu Bowen, who also left the company recently, while Alibaba has not yet announced a successor for Lin Junyang, the former technical lead of Qwen AI [3][4] - Lin Junyang's unexpected departure has caused significant reactions within the developer community, and he announced his exit without providing further details [4] Group 2 - Alibaba's stock has decreased nearly 5% over the past 12 months, underperforming the Nasdaq Composite Index, which gained approximately 23% during the same period [5] - The decline in Alibaba's shares is part of a broader trend affecting U.S.-listed Chinese tech stocks, which fell following Beijing's announcement of a 2026 GDP growth target of 4.5%–5%, the lowest since the early 1990s [5]

Core Viewpoint - Alphabet is positioned as a leading company in the artificial intelligence sector, boasting the most comprehensive AI technology stack globally [1] Group 1: AI Technology and Products - Alphabet's Gemini large language model (LLM) is highly rated and integrated across its various businesses, enhancing functionalities in cloud computing and search [2][3] - The incorporation of AI features like Lens and Circle to Search in its search functionality is driving increased search queries and revenue growth [3] Group 2: Market Position and Competitive Advantage - Alphabet controls significant market share with over 70% in both the Chrome web browser and Android operating system, establishing a wide moat in the search engine market [3] - The company has a revenue-sharing agreement with Apple, further extending its reach as the default search engine [3] Group 3: AI Infrastructure and Cost Efficiency - Alphabet has developed custom AI chips known as Tensor Processing Units (TPUs), which provide a structural cost advantage over competitors like Nvidia [5] - The company plans to invest between $175 billion to $185 billion in data center infrastructure this year to enhance its AI capabilities and cloud computing business [5] Group 4: Revenue Growth Opportunities - Alphabet is beginning to offer its TPUs to customers, which could generate significant revenue, with estimates of $13 billion for every 500,000 TPUs deployed [6] - The company is in discussions with neocloud companies to expand TPU usage beyond Google Cloud, creating additional revenue streams [6] Group 5: Overall Importance in AI Sector - As the only company with both a leading LLM and proprietary AI chips, Alphabet is recognized as one of the most significant players in the AI industry [7]

Core Insights - Google has launched Nano Banana 2, an upgraded version of its AI image generation model, aiming to enhance user engagement and compete effectively in the AI market [1] Group 1: Product Launch and Features - The new model, Nano Banana 2, is being integrated into various Google products, including the Gemini app, AI Mode, Lens features on Search, and Flow, an AI-powered video tool [1] - Nano Banana 2 utilizes Gemini's Flash models, which provide faster and more cost-effective image generation and editing capabilities, along with improved instruction-following and sharper image details [1] Group 2: Market Impact and User Engagement - The original Nano Banana AI image editor gained significant traction, attracting 13 million first-time users to the Gemini app within four days of its launch in September [1] - By mid-October, the original model had generated over 5 billion images, indicating strong user engagement [1] - The Gemini app has seen a substantial increase in monthly active users, reaching over 750 million by the end of December, largely due to the success of the Gemini 3 AI model [1] Group 3: Competitive Landscape - The advancements in Google's AI tools have positioned the company favorably against competitors like OpenAI, which has responded to Google's success by accelerating its own development efforts [1]

Core Insights - Alphabet's fourth-quarter 2025 results are anticipated to show strong performance driven by growth in Search and Cloud businesses, with AI enhancements playing a significant role [2][9] Search Business - Google Search revenues are estimated at $61.27 billion, reflecting a 15.2% increase year-over-year, supported by AI-driven experiences and commercial query growth [3][6] - The adoption of AI Mode has led to a doubling of query volumes sequentially, attracting over 75 million daily active users across 40 languages, which is contributing to additional advertising inventory and monetization opportunities [5][9] Cloud Business - Google Cloud revenues are projected at $16.25 billion, indicating a 33.9% growth from the previous year, benefiting from the increasing demand for AI infrastructure and an expanding enterprise customer base [3][10] - The cloud segment is leveraging partnerships, particularly with NVIDIA, to enhance growth, with Google Cloud crossing 2 million Gemini Enterprise subscribers across 700 companies [8][9] Overall Financial Performance - The total revenue estimate for Alphabet in Q4 is $94.7 billion, suggesting a 16.02% growth compared to the same quarter last year, driven by both Search and Cloud segments [3][9]

Core Insights - Alphabet (GOOGL) is expected to report fourth-quarter 2025 results on February 4, with earnings estimated at $2.58 per share, reflecting a 20% year-over-year growth, and revenues projected at $94.7 billion, indicating a 16.02% increase from the previous year [1][8]. Group 1: Earnings and Revenue Estimates - The Zacks Consensus Estimate for fourth-quarter 2025 earnings is $2.58 per share, down by a penny over the past 30 days, indicating a 20% year-over-year growth [1]. - The consensus for fourth-quarter revenues is pegged at $94.7 billion, reflecting a 16.02% growth compared to the same quarter last year [1]. - The expected revenue from Search and other services is estimated at $61.27 billion, indicating a 13.39% increase year-over-year [4]. Group 2: AI and Search Business Growth - Alphabet's Search business is benefiting from the integration of AI, enhancing user experience and ad performance [2]. - AI-powered features like AI Overviews and AI Mode are transforming user interactions, with AI Overviews reaching over 2 billion users and AI Mode attracting over 75 million daily active users, doubling queries in the last quarter [3]. - The growth in AI usage is expected to positively impact Alphabet's performance in the upcoming quarter [4]. Group 3: Cloud Computing Performance - Google Cloud is experiencing significant growth, with revenues from generative AI products increasing over 200% year-over-year [6]. - The cloud backlog increased by $49 billion sequentially, reaching $155 billion, indicating strong demand for Google Cloud services [7]. - Google Cloud revenues for the fourth quarter are projected at $16.25 billion, reflecting a 35.9% growth compared to the previous year [9]. Group 4: Competitive Landscape and Challenges - Alphabet faces competition in the cloud and generative AI sectors from Amazon and Microsoft, which are making significant advancements in their respective offerings [20]. - Despite strong demand, Alphabet anticipates challenges in meeting customer demand due to a tight demand-supply environment [9]. - Rising costs and advertising pressures, particularly from the impact of U.S. elections on YouTube's ad performance, may weigh on results [18].

Core Insights - Grokipedia, an AI-generated encyclopedia by Elon Musk's xAI, is gaining traction as a source for various AI tools, raising concerns about misinformation and accuracy [1][4][6] Grokipedia Citation Analysis - Since its launch in late October 2022, Grokipedia has been referenced in over 263,000 ChatGPT responses, covering approximately 95,000 unique pages, compared to 2.9 million references to English Wikipedia [1] - Grokipedia accounts for about 0.01% to 0.02% of all ChatGPT citations, showing steady growth since mid-November [2] - In December, Grokipedia's visibility in AI answers increased, but it remains a secondary source compared to established platforms like Wikipedia [2] Comparison of Citation Across Platforms - Grokipedia has more citations in ChatGPT than other platforms, but its presence in Google's AI products like Gemini and AI Overviews has also seen growth [2] - Specific citation counts include approximately 8,600 in Gemini, 567 in AI Overviews, 7,700 in Copilot, and 2 in Perplexity, with notable decreases in Gemini and Perplexity compared to the previous month [2] Usage Context of Grokipedia - AI tools tend to use Grokipedia for niche or specific factual queries, primarily for non-sensitive inquiries [3] - When cited by ChatGPT, Grokipedia is often presented as a primary source, while in AI Overviews, it appears alongside multiple sources as a supplementary reference [3][4] Concerns About Reliability and Accuracy - Experts warn that using Grokipedia as a source poses risks of spreading misinformation and partisan viewpoints due to its lack of human oversight and reliance on unverifiable materials [4][6] - Grokipedia's content has been criticized for containing biased perspectives, including racism and transphobia, and for potentially reinforcing various biases and inaccuracies [4][6] Responses from AI Companies - OpenAI emphasizes that ChatGPT aims to extract information from a wide range of public sources and allows users to evaluate the reliability of cited sources [5] - Perplexity focuses on accuracy as a core advantage but did not comment on the risks associated with AI-generated materials like Grokipedia [5] Summary of Grokipedia - Grokipedia is an AI-generated replica of Wikipedia, lacking human oversight and often containing biased content, making it unreliable as a reference source [7]

Core Insights - Alphabet's diversified revenue streams and advancements in AI monetization position it as a strong investment ahead of its upcoming earnings report on February 4, 2026 [1] - The company's shares have increased by over 68% in the past year, indicating strong market performance [1] Online Search Dominance - Google Search revenue grew nearly 15% year-over-year to approximately $56.6 billion in Q3 2025, alleviating concerns about AI chatbots affecting its market share [2][3] - AI features like AI Overviews and AI Mode are enhancing user engagement, particularly among younger demographics, with AI Mode achieving over 75 million daily active users [2][3] AI Monetization - Alphabet is rapidly monetizing its Gemini large language models, which are integrated into Google Workspace and Google Cloud, and has secured a multiyear deal with Apple for its Siri assistant [4] - This partnership is expected to generate new licensing revenue from Apple's extensive user base of over 2 billion devices [4] Google Cloud and YouTube Growth - Google Cloud reported a 34% year-over-year revenue increase to $15.2 billion in Q3 2025, with a backlog growth of 82% to $155 billion, indicating strong revenue visibility [5] - YouTube continues to dominate the U.S. streaming market and has expanded its content offerings through a partnership with the BBC, while also achieving significant viewership milestones [6] Financial Strength - Alphabet maintains a robust balance sheet with approximately $98.5 billion in cash at the end of Q3 2025, providing financial flexibility for future investments [7] Valuation Considerations - The company is trading at 30 times forward earnings estimates, which may seem high, but is justified by its strong performance across search, cloud, and video segments [10] - Despite potential risks, the outlook for strong earnings results suggests that investors may benefit from acquiring a small stake in the stock ahead of the earnings report [10]