Alphabet Inc. offers various products and platforms in the United States, Europe, the Middle East, Africa, the Asia-Pacific, Canada, and Latin America. It operates through Google Services, Google Cloud, and Other Bets segments. The Google Services segment provides products and services, including ads, Android, Chrome, devices, Gmail, Google Drive, Google Maps, Google Photos, Google Play, Search, and YouTube. It is also involved in the sale of apps and in-app purchases and digital content in Google Play and YouTube; and devices, as well as the provision of YouTube consumer subscription services, such as YouTube TV, YouTube Music and Premium, NFL Sunday Ticket, and Google One. The Google Cloud segment offers consumption-based fees and subscriptions for AI solutions, including AI infrastructure, Vertex AI platform, and Gemini enterprise. It also provides cybersecurity, and data and analytics services; Google Workspace that include cloud-based communication and collaboration tools for enterprises, such as Calendar, Gmail, Docs, Drive, and Meet; and other enterprise services. The Other Bets segment sells transportation and internet services. Alphabet Inc. was incorporated in 1998 and is headquartered in Mountain View, California.
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Thinking Machines Lab co-founder Barret Zoph joins Google DeepMind
Barret Zoph, co-founder of Thinking Machines Lab, is joining Alphabet-owned Google DeepMind as a vice president of research, according to media reports. Zoph, who previously served as chief technology officer at Thinking Machines and led OpenAI's push to sell AI products to businesses, made a brief return to OpenAI earlier this year after leaving the startup. He spent six years at Google as a research scientist in Google Brain, which merged with DeepMind in 2023 to form Google DeepMind.
Nvidia, the major U.S. AI chip maker, announced its latest quarterly results (May-July 2026) with revenue reaching $96.2 billion, up 106% year-over-year and above analyst expectations of about $92 billion. Net income surged to $59.7 billion, or $2.46 per share, up 126% from the same period last year. The data center business, a key revenue driver, brought in $89 billion, more than doubling. Meanwhile, the edge computing business generated $7.2 billion, up 27%. Nvidia forecasts current-quarter revenue (August-October 2026) of $108 billion, above market expectations, and expects next fiscal year's revenue to grow another 70%, citing supply chain constraints as a limiting factor on sales, not weakening demand. Major customers such as Amazon, Microsoft, Alphabet, and Meta are expected to invest nearly $800 billion this year to develop data centers and AI infrastructure.
Zacks Investment Research reports that S&P 500 earnings for 2026 Q3 are expected to rise 22.6% year-over-year on 10.9% higher revenues, with 14 of 16 sectors projected to see positive growth and five sectors achieving double-digit gains. This marks the most broad-based earnings growth in recent times, with positive revisions continuing for a year. Alphabet, Micron, and Nvidia are major contributors to the Tech sector's growth; excluding them, Tech earnings would grow 18.9% versus 39.3% otherwise. The favorable revisions trend also extends to Q4 estimates, with similar sectors seeing upward adjustments.
Nvidia beats Q2 estimates as AI demand drives record revenue
Nvidia reported stronger-than-expected second-quarter results on Wednesday after the market close, with adjusted earnings per share of $2.22 beating analyst estimates of $2.09, and revenue of $96.2 billion surpassing the expected $92.38 billion. Data center revenue reached $89 billion, ahead of the $85.86 billion forecast, while the company guided third-quarter revenue to $108 billion, above the consensus of $105.16 billion. Gross margin improved to 75% from 72.7% a year earlier. The company also noted that its Vera Rubin platform is now in full production. Despite the strong numbers, analysts are focused on concerns about competition from major customers like Alphabet and Amazon, as well as questions about circular financing in the AI sector.
Berkshire Hathaway's second-quarter 13F filing revealed a net purchase of nearly $19.8 billion in stocks, its first net-buying quarter in 14 quarters, driven largely by an 83% increase in its Alphabet stake to about 106 million shares worth $37.8 billion, making it the conglomerate's third-largest holding behind Apple and American Express. Roughly $10 billion of the increase came from a June private placement Alphabet arranged to fund its AI buildout, and Warren Buffett told CNBC, "I initiated it," while noting CEO Greg Abel "has the last word." The purchase marks a shift in Berkshire's strategy, deploying part of its cash pile that had reached $397.4 billion, though it still holds about $365.5 billion in cash. The move adds concentration in mega-cap tech stocks, and future decisions on the stake now rest with Abel, who has less of a public track record than Buffett.
Alphabet's $84.75B Raise Includes $40B ATM for Tax
Alphabet priced an $84.75 billion capital package in June, but Wednesday's stock drop of 1.7% to $341.22 highlights investor concerns about valuation, with shares trading 34.53% above the $253.64 GF Value estimate. The package includes $18 billion of common stock, $16.75 billion of mandatory convertible preferred securities, and a $10 billion Berkshire Hathaway placement, while the remaining $40 billion at-the-market program is primarily for covering tax obligations on employee equity awards, not AI infrastructure. This means nearly half of the total package is not a direct bet on AI, even as Alphabet's second-quarter revenue surged 24% to $119.8 billion. The key test is whether Alphabet can convert its AI spending into returns quickly enough to offset dilution and justify its premium valuation.
Google Unveils Gemini 3.5 Transcribe Speech-to-Text Model
Google has unveiled Gemini 3.5 Transcribe, its most precise speech-to-text model to date, which converts raw audio directly into accurate, polished, formatted text. The model is designed for developer workflows, enabling voice agents, real-time captioning, and post-call analytics, and is available for real-time streaming via the Live API and for pre-recorded audio via the Interactions API. It supports over 85 languages, can identify up to three speakers, and features a word error rate of 4% for streaming and 2.6% for non-streaming use cases, outperforming OpenAI's GPT Live Transcribe on the FLEURS benchmark. The model is now available in public preview for developers and enterprises, and in the Gemini app on macOS and Android in select countries, with Chrome support coming soon. This release follows Google's earlier launch of Gemini 3.7 Flash and the Gemini app surpassing 1 billion users, while the next frontier model, Gemini 3.5 Pro, remains unreleased.
Apple has introduced the M6 and M5 Ultra chips, strengthening its silicon portfolio for compute-intensive AI workloads. The M6, debuting in the new Mac mini, is Apple's first 2-nanometer chip with a 12-core CPU, 12-core GPU, Dual 16-core Neural Engine, and up to 170GB/s of unified memory bandwidth, while the M5 Ultra, powering the Mac Studio, offers up to a 36-core CPU, 80-core GPU, and 1.2TB/s bandwidth. The M6's Neural Engine delivers up to twice the peak compute of previous generations, and GPU AI compute improves nearly 30% over M5, supporting up to 32GB of memory for on-device LLMs. The M5 Ultra's GPU provides up to 4.5 times the peak AI compute of M3 Ultra, and configurations with up to 512GB of memory can run LLMs with hundreds of billions of parameters locally. These launches come as Mac revenues climbed 29% year over year to $10.4 billion in fiscal Q3 2026, with Apple reporting an installed base of over 2.5 billion devices and R&D spending up to $11.73 billion. Apple faces stiff competition from Alphabet and Microsoft, which are building broader AI ecosystems; Alphabet's Gemini app has 950 million monthly active users, and Microsoft 365 Copilot has surpassed 30 million paid seats. Apple shares have returned 14% year to date, underperforming the sector's 14.4%, and trade at a forward P/E of 32.77X versus the sector's 20.66X, with a Zacks Rank #3 (Hold).
Marvell Technology heads into its fiscal second-quarter earnings report on August 27 with high market expectations, as the stock has become a bellwether for the AI ecosystem. For the quarter ended August 1, analysts expect revenue of $2.71 billion and earnings per share of $0.93. The bigger catalyst is likely to be management's guidance for fiscal 2027 and 2028, especially after the company announced a $12.2 billion deal with Google on August 19 to develop custom AI chips, which analysts at Stiefel estimate could generate $120 billion in revenue over seven years. The average price target from 44 Wall Street analysts is $266, representing an 11% upside. However, the stock trades at a trailing P/E of nearly 83 and over 24 times sales, leaving little room for error, and the Google deal includes a warrant for nearly 59 million shares, potentially diluting shareholders by nearly 7%.
Meta's $16.7B Settlement Sets Precedent for Social Media Sector
Meta has reached a settlement in its social media trial, agreeing to pay up to $16.7 billion, according to Reuters. Bloomberg Intelligence's Mandeep Singh says the payout is not a huge dent for Meta, which generates over $40 billion in free cash flow, but it sets a precedent that could impact the entire social media sector. The settlement may force platforms to change algorithms and feed displays, potentially affecting ad impressions and growth. While giants like Alphabet can absorb such costs, smaller platforms like Snapchat and Roblox, which cater to younger demographics, could face significant blows. The focus on users under 16 and engagement remedies could negatively impact ad growth across the industry.
Meta has agreed to pay $16.68 billion to settle a social media addiction case brought by a group of state attorneys general, a move that removes a significant overhang on the company's valuation. The stock ticked up on the news but pared gains, trading around $571, well below its 52-week high of over $800. Analysts remain cautious, with Sevens Report Research's Tom Essaye questioning how Meta will monetize AI, unlike Alphabet's clearer path through Gemini and cloud services. Edward Jones' Angelo Kourkafas notes the settlement removes a headwind and maintains an overweight on communication services, seeing potential for sentiment to shift from semiconductors to hyperscalers.
KBRA released a report on the credit implications of AI infrastructure expansion among the AI-7 companies—Meta, Amazon, Alphabet, Microsoft, NVIDIA, Broadcom, and Oracle—finding that their gross disclosed contractual commitments and contingent support have surged to approximately $3.2 trillion from $575 billion at the end of 2024. The report highlights that these off-balance sheet commitments, including long-term leases, purchase and construction commitments, and cloud capacity agreements, are reshaping the companies' financial risk profiles and reducing future flexibility, despite generally strong balance sheets. Six of the AI-7 maintain traditional lease-adjusted leverage below 1.5x, but the rapid growth in commitments is a concern. KBRA emphasizes that commitments are not economically uniform and should be analyzed separately based on timing, utilization, demand, cancellability, and counterparty performance.
BenchSci Partners with Google Cloud to Power EMET Platform
BenchSci announced a strategic, multi-year initiative establishing Google Cloud as the primary infrastructure platform for EMET, its agentic research environment for preclinical drug discovery. The combined solution gives pharmaceutical scientists unified access to BenchSci's proprietary biological knowledge graph—858 million nodes, 2.2 billion relationship edges, and legal access to 16 million closed-access scientific papers—alongside Google's frontier life sciences AI models, including AlphaGenome and AlphaFold 3, within a single environment. BenchSci reports that 70% of drugs fail in the clinic due to fragmented data, and scientists spend half their time manually integrating disparate sources. The majority of the top 20 pharmaceutical companies by revenue are existing BenchSci customers, with 80% of users reporting 60% efficiency gains and some teams achieving up to 50x time savings. BenchSci is also working to integrate EMET into the Google Cloud Marketplace for simplified access and billing.
Nvidia's AI data center market share may drop to 70%
Moor Insights & Strategy founder Patrick Moorhead predicts Nvidia's AI data center market share could fall from 90% to roughly 70% over the next two years, as the market more than doubles annually. Moorhead identifies Google's TPU as the top taker of unit share, benefiting companies like Broadcom and Marvell, followed by Amazon's Trainium, which underpinned Anthropic's model development. He also expects AMD to gain unit share with its new scale-up architecture, which is more similar to Nvidia's than previous designs. Regarding Bloomberg's report that OpenAI's custom chips with Broadcom outperformed Nvidia's current lineup in testing, Moorhead says he is not surprised, noting the power and performance of non-GPU architectures, but he emphasizes that GPUs offer more flexibility and longevity, while custom designs require frequent updates and cost between 200 and 500 million dollars each. Despite these challenges, Moorhead believes Nvidia's revenue won't be significantly impacted because the market is growing so fast, and in the long term, it will remain primarily a GPU world with custom inference chips for those who roll their own software.
Moonshot AI in talks with US cloud giants over revenue-sharing deal
Chinese AI startup Moonshot AI is in talks to provide its popular model Kimi K3 to major US cloud providers in exchange for a share of revenue from related services, according to three people familiar with the matter. The discussions involve Microsoft, Amazon.com, and Google, and if a deal is reached, it could mark the first major revenue-sharing agreement between a Chinese AI company and a US cloud provider. Moonshot is seeking up to 30% of revenue from Kimi K3-related services offered on Microsoft's Azure, Amazon Web Services (AWS), and Google Cloud. This is said to be in line with the terms offered to large customers using Kimi K3. The talks are at an early stage, and there is no guarantee a deal will be reached. The US government has banned exports of AI semiconductors to China over national security concerns, and senior officials have criticized Moonshot, but powerful Chinese AI models are often significantly cheaper than Western counterparts, and their use is growing in the US. Unresolved issues in the discussions include how revenue will be split, access to data, and auditing of token usage.
Google Unveils New Generative AI Features for the Legal Industry
Google, a subsidiary of US-based Alphabet, announced on the 25th that it has added new features for the legal industry to its enterprise generative AI platform, Gemini Enterprise. The newly offered 'Gemini Enterprise for Legal' is designed to help law firms handle routine and advanced legal tasks, allowing lawyers to focus on higher-value work while ensuring data security and confidentiality. In addition to integration with legal software and legal data platforms, it includes multiple AI agents that can process specialized legal tasks without human intervention. Alphabet began offering Gemini Enterprise in October 2025, and its Google Cloud business has become one of its high-growth divisions. The company also announced tools for the financial services industry and plans to roll out services for other industries in the future. Competitors such as Anthropic are also strengthening their services in the legal field, and Thomson Reuters announced its own large language model, 'Thomson 1.0,' on the 24th. According to Google, the new platform can securely connect with legal technology platforms such as Thomson Reuters, Harvey, and Legora.
Moody's Embeds Credit Data in Google Cloud's Gemini Enterprise
Moody's is embedding its credit ratings and risk intelligence directly into Google Cloud's Gemini Enterprise for Financial Services, expanding a partnership that could make the ratings provider's data more valuable inside AI-driven workflows. The integration gives Gemini Enterprise users access to Moody's credit ratings, research and curated intelligence through Moody's Credit Model Context Protocol, or MCP. By grounding Gemini outputs directly in Moody's proprietary content, Google can offer financial professionals AI-generated analysis based on established credit data rather than relying solely on general-purpose models. The agreement fits Moody's broader strategy of putting its intelligence inside the software and workflows customers already use, potentially deepening engagement and defending the value of its proprietary datasets as generative AI changes how financial research is consumed. For Alphabet, the deal strengthens Gemini Enterprise's credibility in regulated financial workflows, with the bigger test being whether specialized integrations help Google Cloud win more enterprise workloads from Microsoft and Amazon.
Google Cloud Launches Gemini Enterprise for Financial Services
Alphabet's Google Cloud launched Gemini Enterprise for Financial Services in preview on Tuesday, a specialized AI platform for banks and capital-markets firms. The platform combines purpose-built financial skills, secure Model Context Protocol connectors, a Google-managed research agent, and an open partner ecosystem, allowing Gemini to pull from trusted financial systems and execute complex research workflows. Google developed the offering with Deutsche Bank and CME Group, and the ecosystem includes data providers such as Moody's, FactSet, MSCI, PitchBook, and SEC Edgar. Google emphasized that customer data, proprietary business rules, and model outputs remain private and are not used to train its foundation models. The launch positions Google Cloud more competitively against Microsoft and Amazon in the enterprise AI race for financial services.
Alphabet launched Gemini Enterprise for Legal, a platform for law firms that packs specialized AI agents, legal-software integrations and multiple model choices into one system. The official announcement names Weil, Cleary Gottlieb, Freshfields and Williams & Connolly among the participating firms. Alphabet's second-quarter revenue jumped 24% to $119.8 billion, while Google Cloud revenue rocketed 82% to $24.8 billion. Alphabet's $343.09 share price sits 36.89% above its $250.62 GF Value estimate.
Anthropic has filed its Form S-1 with the SEC, setting the stage for what is expected to be the most anticipated IPO of 2026 and the biggest AI pure play ever to go public. The company, founded in 2021 by former OpenAI employees Daniela and Dario Amodei, has a private valuation of roughly $965 billion and an annualized revenue run rate of approximately $65 billion, making it the fastest-growing technology company in history. While no exact date is set, the earliest Anthropic could go public is October, with Polymarket betting markets showing an 83% chance of a debut by the end of October and 93% by the end of 2026. Public companies with significant Anthropic stakes include Amazon, Alphabet, Salesforce, Zoom Video, and SK Telecom, with Amazon's stake valued at about $43 billion and SK Telecom's $2.7 billion stake representing roughly 20% of its market cap.
Alphabet Raises $3.9 Billion in Australian Dollar Bond Offering
Alphabet Inc. raised approximately $3.9 billion through its inaugural Australian-dollar bond offering on August 19, with orders exceeding A$18 billion, more than three times the amount issued. The deal included three-, five-, 10-, and 20-year maturities, with a 6.9% coupon on the longest tranche. The offering came after Alphabet reported its first negative quarterly free cash flow as a public company, as capital expenditures doubled to $44.9 billion against $39.1 billion of operating cash flow. Second-quarter revenue increased 24% to $119.8 billion, while operating income rose 30% to $40.8 billion, and Google Cloud revenue jumped 82% to $24.8 billion. Management has raised its 2026 capital-expenditure forecast to $195 billion to $205 billion, suggesting the cash deficit may not be the peak of the spending cycle.
Waymo said Tuesday it will launch its robotaxis in Munich next year, marking the US group's first foray into the European Union. The Alphabet subsidiary will start mapping the city's streets and conducting tests with specialist drivers in the coming weeks, with commercial ride-hailing to be offered to the public at the end of 2027. The firm, whose robotaxis currently operate in several US cities, is also planning to expand to London and Tokyo this year. Waymo co-chief executive Tekedra Mawakana called Munich a world-class hub for mobility and engineering, while Bavaria state minister Florian Herrmann welcomed the news as a key technology for the future of mobility.
Nvidia Customers Face 15% Price Hike as Google Spends $200 Billion
Nvidia has warned some of its largest customers that AI servers built around Grace Blackwell and Vera Rubin chips could cost more than 15% extra in early 2027 as memory prices climb. Alphabet is among the data center operators exposed to those increases, and it has committed $195 billion to $205 billion in capital spending this year on AI infrastructure. Google Cloud revenue grew 82% in the June quarter to $24.8 billion, and cloud backlog reached $514 billion. Marvell reported Q1 fiscal 2027 revenue of $2.42 billion, up 27.57% year over year, with data center accounting for 76% of the total, and CEO Matt Murphy said the custom chip business has a path to over $10 billion in revenue in fiscal 2029.
Google TPU Shipments Could Triple to 8.84 Million by 2027
Alphabet's next-generation Tensor Processing Unit shipments could more than triple from 2.76 million units in 2024 to 8.84 million by 2027, according to a forecast from GF Securities Brokerage. The projection shows volumes rising to 2.854 million in 2025, 4.504 million in 2026, and 8.84 million in 2027, driven by new chip generations including v7 Ghostfish, v8AX Sunfish/Hellcat, and v8x Zebrafish/Maddog. Alphabet's cloud backlog reached $514 billion and Gemini models now process 22 billion API tokens per minute, while second-quarter 2026 capital expenditures hit $44.9 billion, up 100.14% year over year. To fund the buildout, Alphabet raised roughly $70 billion in combined equity and debt, pushed long-term debt from $46.5 billion to $98.2 billion, and suspended its stock buyback, with free cash flow turning negative $5.9 billion.
Alphabet's AI Spending Pushes Free Cash Flow Negative
Alphabet reported 24% overall revenue growth in the second quarter of 2026, driven by an 82% surge in Google Cloud, but massive AI infrastructure spending pushed quarterly free cash flow to negative $5.9 billion. Management raised capital expenditure guidance to a range of $195 billion to $205 billion and warned that free cash flow will remain under pressure. The company's core operating margin of 33% is at the high end of its multi-year range, and executives signaled that using more expensive third-party capacity will create modest margin pressure in the near term. Analysts noted concerns that Google must keep pace with other leading labs, and management stated it will need Gemini 4 as a larger base model to compete at the frontier level.
Data Center Pushback May Give Hyperscalers an Edge
Growing political and community pushback is creating new headwinds for data center stocks, with concerns ranging from rising electricity demand to water consumption. Pennsylvania, Texas and Michigan have all moved toward tighter oversight or restrictions on new projects, and generous tax incentives once used to attract data center investments are increasingly facing political scrutiny. Jim Cramer of CNBC sees the political backlash as a major advantage for hyperscalers such as Amazon, Alphabet, Microsoft and Meta, whose financial strength could allow them to continue developing data centers even as smaller, speculative developers face greater hurdles. Investors seeking concentrated hyperscaler exposure can consider the Defiance AI Hyperscale Leaders ETF, the Roundhill Magnificent Seven ETF, and the Corgi Mag 7 ETF.
Morgan Stanley: Google AI Chip Boom Could Unlock $200 Billion
Morgan Stanley analyst Brian Nowak raised his estimates for Alphabet's in-house tensor processing unit chips, projecting the company could generate as much as $200 billion in revenue from TPUs over the next several years. The revision follows reports that Alphabet may supply about one million TPUs, representing roughly 1.3 gigawatts of capacity, for approximately $35 billion, implying pricing of about $27 billion per gigawatt. Nowak expects Google to sell about 0.3 gigawatts of TPU systems in the second half of 2026, followed by 3.2 gigawatts in 2027 and 4.2 gigawatts in 2028, which could produce $84 billion and $108 billion in related Google Cloud revenue in 2027 and 2028, respectively. The firm also pointed to Alphabet's expanded custom-chip work with Marvell, which may support higher TPU pricing and margins, and now assumes a 30% gross margin on TPU system sales, up from its previous 20% estimate.
Berkshire Hathaway Bought $10 Billion of Alphabet in Private Placement
Berkshire Hathaway purchased $10 billion of Alphabet stock directly from the company in a private placement, bypassing the open market. The purchase was split between $5 billion of Class A shares at $351.81 per share and $5 billion of Class C shares at $348.20 apiece. This private placement was part of a larger expansion of Berkshire's Alphabet stake during the 2026 second quarter, which also included open-market purchases. The Alphabet position now ties with Coca-Cola as Berkshire's third-largest stock holding, each accounting for 10.2% of the portfolio. The move marks a departure for CEO Greg Abel, who is deploying Berkshire's cash pile, which shrank from nearly $400 billion to $365.5 billion.
Cramer Says Data Center Backlash Could Benefit Big Tech
Jim Cramer argued on Mad Money that political resistance to data center construction may strengthen Microsoft, Alphabet, and Amazon by eliminating speculative builders and easing cost pressures. He cited Texas Governor Greg Abbott and Pennsylvania Governor Josh Shapiro shifting from boosters to critics, and said the hyperscalers can afford to compensate communities while spec builders get obliterated. Cramer also warned the AI trade is currently broken and price-to-earnings multiples are unlikely to expand, advising investors to sell some holdings. Microsoft guided fiscal 2026 capital expenditures to $115.95 billion, Alphabet's Q2 capex reached $44.92 billion, and Amazon spent $54.21 billion in Q2 with an AWS backlog of $496 billion.
Data centers are driving the largest capital investment in US history, with the five biggest hyperscalers—Amazon, Microsoft, Google, Meta and Oracle—set to spend more than $750 billion on capital expenditures this year, up 67% from last year and roughly 75% earmarked for AI infrastructure. The buildout is straining the electric grid, with utilities now forecasting a sixfold jump in 2030 peak demand growth from predictions just three years ago, and data center electricity use is forecast to rise from 4.4% of US consumption in 2023 to almost 12% by 2030. Politically, more than 70% of Americans oppose a data center in their area, and at least 75 projects totaling roughly $130 billion in potential investment were delayed in Q1 2026, with Pennsylvania Governor Josh Shapiro imposing new requirements, Michigan Senate nominee Mike Rogers backing a one-year moratorium, and Texas Governor Greg Abbott freezing new data centers. Meta is committing more than $50 billion to build Hyperion, a 5-gigawatt data center in Louisiana powered by 10 new natural gas plants, while Nvidia announced over $100 billion in guarantees for an 8-gigawatt project in Ohio to power OpenAI.
Alphabet is moving Google's Local Services Ads into the Google Ads ecosystem as a pay-per-lead Performance Max campaign. The standalone Local Services Ads dashboard is being retired, and campaign management will shift into the main Google Ads interface. Historical Local Services Ads data access is changing, which may affect how advertisers handle reporting and longer term performance tracking. The update reflects Google's wider use of automation and AI driven bidding tools across its advertising products.
Verizon Partners With Google Cloud to Deploy Gemini Enterprise
Verizon is deepening its artificial-intelligence push through a new strategic partnership with Alphabet's Google Cloud, deploying Gemini Enterprise across customer service, network operations, marketing and employee workflows. Gemini Enterprise for Customer Experience already handles the majority of Verizon's inbound consumer calls and chats each month, and Google said the expanded relationship will also use AI to predict and resolve network anomalies before they affect customers. Verizon plans to use Gemini Enterprise to coordinate AI agents across core business functions, while Google Cloud's data tools will automate parts of content creation, marketing campaigns and customer engagement. The partnership builds on Verizon's existing use of Google Cloud technology and comes as the carrier reported second-quarter mobility and broadband service revenue rose 2.8% to roughly $23.4 billion, with adjusted EBITDA up 7.2% to a record $13.7 billion. Verizon expects mobility and broadband service revenue growth to accelerate toward roughly 4% in the fourth quarter and raised 2026 adjusted EPS guidance to $4.99 to $5.04.
Google Integrates Wix Harmony Into Gemini for Website Building
Alphabet Inc. is partnering with Wix.com Ltd. to integrate Wix Harmony inside Gemini as a connected app, enabling users to generate websites through text or voice commands directly within the AI assistant. The finished sites are hosted on Wix's servers and can include commerce, scheduling, payments, SEO, accessibility, and other business features. For Google, the integration gives Gemini another real-world use beyond question answering or content generation, while Wix gains distribution by meeting users inside Gemini when they are already thinking about a business, project, or website. Shares of Wix rose around 3% to 4% following the news, and Alphabet also traded higher.
New Zealand Proposes Under-16 Social Media Ban With 10% Revenue Fines
New Zealand Prime Minister Christopher Luxon announced his party will introduce legislation banning social media for users under 16, with noncompliant platforms facing fines of up to 10% of global revenue. The measure would require companies like Meta Platforms and Alphabet to verify user ages using account information, facial recognition technology, and digital identity documents, directly affecting Instagram, Facebook, and YouTube. Australia has already enacted a similar under-16 ban, and other countries may follow as concerns over child safety and online addiction grow. The proposal is not yet law and faces opposition from Luxon's coalition partner New Zealand First, but if adopted, it could raise compliance costs and limit younger user acquisition for major social media firms.
Alphabet Leads Consumer Internet Q2 Earnings with 24.2% Revenue Growth
Alphabet reported second-quarter revenues of $119.8 billion, up 24.2% year over year, beating analysts' expectations by 2.2% and posting a solid EPS beat. Among the 44 consumer internet stocks tracked, the group's revenues beat consensus estimates by 1.3% while next quarter's revenue guidance came in 3% below. Reddit delivered the biggest analyst estimate beat, highest guidance raise, and fastest revenue growth of the whole group, with revenues of $804.9 million, up 61.1% year over year, but its stock fell 13.8% since reporting. Coinbase was the weakest performer, with revenues of $1.22 billion, down 18.5% year over year and missing analysts' expectations by 5.9%, yet its stock rose 15.6% since the results. Bumble reported revenues of $210.5 million, down 15.2% year over year, in line with expectations but with a significant miss on next quarter's revenue guidance, while Snap's revenues of $1.60 billion, up 18.9% year over year, beat expectations by 3.8%.
Berkshire Hathaway's Cash Pile Shrinks for First Time in Years
Berkshire Hathaway's cash and Treasury bill holdings fell to $364.7 billion on June 30, 2026, down 4% from three months earlier and the first sequential decline in more than three years. Net income more than doubled to $25.67 billion. The company struck two of its biggest deals in years during the quarter, a $6.8 billion purchase of homebuilder Taylor Morrison and a $10 billion investment in Alphabet shares. It also repurchased $4.5 billion of its own stock and bought $23.5 billion of other equities while selling just $3.7 billion, making it a net buyer for the first time in more than three years. Operating earnings rose 16.3% to $12.98 billion, while profit from manufacturing, service, and retail businesses jumped 24% to $4.47 billion. Warren Buffett spent decades building Berkshire Hathaway's famous cash pile, and his successor Greg Abel, who took over as CEO in January 2026, is now the one deciding how to spend it.
Dan Ives Says Nvidia Price Hike Shows Supply Constraints, Not Weak Demand
Dan Ives says Nvidia's roughly 15% price increase on AI server systems is not a demand warning but another sign that AI infrastructure remains severely supply constrained. He told Bloomberg Television that demand and supply for chips is upwards of 15 to one, with the current memory shortage forcing Nvidia and others to pass rising component costs through the supply chain. Ives expects the memory super cycle to keep the industry from reaching meaningful supply-demand equilibrium until the middle or latter part of 2028. Microsoft, Alphabet and Oracle are reportedly among customers facing higher data-center system costs as memory prices rise, yet Ives sees little evidence that those costs are causing customers to retreat. He described the AI buildout as still being in the third inning, with enterprise adoption accelerating rather than slowing, and expects hyperscalers to continue raising capital and increasing capital expenditures.
Apple Becomes Wall Street's Favorite Mag 7 Stock on Capex Efficiency
Apple has become Wall Street's favorite Magnificent 7 stock due to its unusually low capital spending on AI, with 24/7 Wall St. issuing a BUY rating and a $361.66 price target implying 16.91% upside from the current $309.35. Apple spends just 2% of revenue on capex, compared with Microsoft's $115.95 billion full-year capital spending and Alphabet's planned $175 billion to $185 billion in 2026 capex, which pushed Alphabet to negative free cash flow of $5.85 billion. Apple's July 30 fiscal Q3 revenue of $109.4 billion grew 16.36%, EPS of $2.02 beat estimates by 6.8%, and iPhone revenue jumped 22% to $54.3 billion, marking its ninth consecutive EPS beat. However, CEO Tim Cook described DRAM pricing as a '100-year flood' with exponential increases, pulling September-quarter gross margin guidance to 47%-48% from Q3's 50.1%. The bull-case scenario points to $377.13, while the bear-case lands at $313.60.
Amazon's Zoox Deploys Driverless Robotaxis in San Francisco
Amazon-owned Zoox has begun deploying its fully autonomous vehicles onto the streets of San Francisco, putting the business in more direct confrontation with Alphabet's Waymo. Zoox's vehicles have no steering wheel or pedals, are bi-directional, and seat four people facing each other. The company has clocked over 3 million autonomous miles and carried close to 1 million passengers, and began charging for rides in Las Vegas on Aug. 10 after gaining a government exemption to operate commercially without conventional driver controls. Amazon acquired Zoox for roughly $1.2 billion in 2020.
Tesla to unveil production Cybercab on September 3rd
Tesla will unveil the production Cybercab at a launch event in Austin, Texas, on September 3rd, as the company ramps up its self-driving efforts. The two-seat, purpose-built robotaxi has no steering wheel or pedals and is Tesla's first vehicle designed purely for autonomy, meant to run on its Full Self-Driving software as part of the Robotaxi fleet launched in Austin last year. The launch follows last week's unanimous approval by the Nevada Transportation Authority of permits for Tesla, Waymo, and Uber to run commercial robotaxis in Clark County, authorizing up to 8,000 driverless vehicles over the next 12 months. Tesla drew the largest allocation of around 5,000 robotaxis, though its Cybercab chief engineer told regulators the company expects to field around 2,500 within the year, calling the 5,000 figure a ceiling. Alphabet's Waymo was cleared for up to 1,000 vehicles, while Uber secured 1,000 more through partnerships with Hyundai-backed Motional and Amazon's Zoox, which holds a separate permit for 100.