Berkshire Hathaway Invests $112B in Apple and Alphabet

Major tech investors are doubling down on Apple and Alphabet, with Berkshire Hathaway allocating over $112 billion — about 30.6% of its portfolio — to the two companies. Apple remains Berkshire's largest holding, praised for its loyal customer base and on-device AI approach. Berkshire has also accumulated 105.97 million shares of Alphabet, whose Google Cloud revenue jumped 81% year-over-year to $24.8 billion in the second quarter.

Nvidia, Alphabet, and Micron are trading at valuations that resemble value stocks, a sharp shift from earlier this year. Nvidia's forward earnings multiple has fallen to 22x from over 40x, while Alphabet now trades at just 16x. Micron's multiple dropped to only 6x after revenue surged over 300% to $41 billion. Nvidia posted quarterly revenue of $96 billion and net income of $59 billion.

TSMC is positioning itself to benefit from rising AI infrastructure spending, with AI accelerator revenue expected to grow at a 50% compound annual growth rate through 2029. The company reported 53% year-over-year revenue growth in August and controls 72.5% of the global foundry market. TSMC also plans to raise prices by up to 10% starting in 2027.

Key Takeaways

  • <ul><li>Berkshire Hathaway has allocated over $112 billion (30.6% of its portfolio) to Apple and Alphabet, with 105.97 million shares owned across both classes</li><li>Google Cloud revenue grew 81% year-over-year to $24.8 billion in Q2</li><li>Nvidia trades at 22x forward earnings, down from over 40x, with $96 billion in quarterly revenue</li><li>Alphabet's forward earnings ratio fell to 16x, cheaper than the average value stock</li><li>Micron's forward earnings multiple dropped to 6x after revenue surged over 300% to $41 billion</li><li>TSMC expects AI accelerator revenue to grow at a 50% CAGR through 2029 and controls 72.5% of the global foundry market</li><li>TSMC plans to raise prices by up to 10% from 2027</li><li>Alation launched six new AIOS components for enterprise AI governance, with 78% of 950 executives lacking confidence in passing an AI governance audit within 90 days</li><li>Databricks is investing $350 million in Singapore, doubling its workforce from 250 to over 500 employees over three years</li><li>93% of CEOs at a Yale event disagreed with President Trump's view that AI catastrophic risks are exaggerated</li></ul>

Berkshire Hathaway heavily invested in Apple and Alphabet AI stocks

Berkshire Hathaway has placed 30.6% of its investment portfolio, over $112 billion, into Apple and Alphabet. Apple remains the largest holding, with Berkshire praising its loyal customer base and on-device AI strategy. Berkshire began buying Alphabet stock in 2025 and now owns a combined 105.97 million shares across both classes. Alphabet's Google Cloud revenue grew 81% in the second quarter to $24.8 billion.

Nvidia Alphabet Micron trade at bargain levels for AI stocks

Three major AI companies, Nvidia, Alphabet, and Micron Technology, are now trading at valuations similar to value stocks. Nvidia trades at 22x forward earnings, down from over 40x earlier this year, with quarterly revenue of $96 billion. Alphabet trades at just 16x forward earnings, down from around 30x. Micron's forward earnings multiple has dropped to only 6x after revenue grew over 300% to $41 billion in the latest quarter.

TSMC poised to outperform on AI infrastructure spending surge

TSMC is well-positioned to benefit from rising AI infrastructure spending, potentially outperforming Micron and Sandisk. The company expects AI accelerator revenue to grow at a 50% compound annual growth rate through 2029. TSMC posted 53% year-over-year revenue growth in August, above its 39% growth for the first eight months of 2026. It controls 72.5% of the global foundry market and plans to raise prices by up to 10% from 2027.

Nvidia Alphabet Micron are value buys amid AI stock concerns

Nvidia, Alphabet, and Micron Technology have become cheaper as investors worry about AI spending sustainability. Nvidia reported revenue and net income of $96 billion and $59 billion respectively in the latest quarter. Alphabet's forward earnings ratio fell to 16x, cheaper than the average value stock. Micron's forward earnings multiple dropped to 6x after revenue surged over 300% to $41 billion, making it attractive to both growth and value investors.

Alation launches six new AIOS components for enterprise AI

Alation announced six new AIOS components at its annual revAlation conference to help enterprises govern AI and data. The new components include AI Governance, Ontologies, Intelligent Feeds, Console, Governed Collections, and Semantic Model Mastering. These tools aim to make AI models transparent, explainable, and fair across organizations. CEO Greg Myers said the launch marks a significant step toward democratizing AI and machine learning.

Alation adds six new products to AIOS for AI governance and agent management

Alation expanded its AIOS platform with six new products including AI Governance, Ontologies, Intelligent Feeds, Console, Governed Collections and Semantic Model Mastering. The products help enterprises manage AI agents, data governance and business context across multiple systems. Alation cited a survey of 950 executives showing 78% lack confidence in passing an AI governance audit within 90 days. The new tools include agent lineage tracing, natural language routing and connectors for Snowflake, Databricks, Microsoft and Amazon platforms.

Databricks invests $350M in Singapore, doubling workforce and office space

Databricks is investing over $350 million in Singapore to expand its regional AI operations over the next three years. The company plans to grow its Singapore staff from more than 250 to over 500 employees and move into a 32,000-square-foot office at IOI Central Boulevard Towers. Its technical team will also grow from over 100 to more than 200 people. Databricks will also train 20,000 people in data and AI skills and support more than 100 startups through a new accelerator.

Databricks to invest $350M in Singapore, quadruple office and double staff

San Francisco-based Databricks announced a $350 million investment in Singapore, including a new 32,000-square-foot regional headquarters at IOI Central Boulevard Towers. The company will grow its Singapore workforce from 250 to more than 500 employees. New customers include iFAST, Singapore Customs and Singtel. Databricks will also run AI programs for startups and enterprises and train 20,000 people in data and AI skills over three years.

CEOs reject Trump claim that AI dangers are a hoax

At a Yale School of Management event in Washington, 93% of attending CEOs disagreed with President Trump's view that AI's catastrophic risks are exaggerated. The business leaders considered AI safety threats to be real concerns. They urged Trump to work with China on joint guardrails for AI development. The flash poll took place during an invitation-only gathering of top executives.

Chinese state media calls Anthropic AI pause a response to competition

China's state-run newspaper criticized Anthropic founder Dario Amodei's call to slow AI development, calling it a coordinated response to Chinese competition. The paper said the proposal aimed to blunt China's AI advance and win favorable US policy. It cited the success of Chinese models DeepSeek and Kimi K3 as evidence that US export controls have failed. China's Standardization Administration says AI development must be monitored for risks. The paper called for US-China cooperation on AI safety.

Milo's Tea growth officer to share AI leadership strategies at Chicago summit

Dan Weingart, chief growth officer of Milo's Tea Co., will deliver a keynote on October 20-21 in Chicago. His session will provide practical strategies for leading teams through AI-driven change. Topics include real-time decision-making, smart guardrails, and capital allocation. The focus is on maintaining core business values while adapting to continuous technological shifts.

TypeSafe AI launches Jev model for faster machine decisions

TypeSafe AI introduced a new model called Jev designed for automated workflows. It returns concise decisions with probabilities instead of long text responses. Jev responds in 70 to 500 milliseconds, much faster than traditional large language models. This approach reduces costs and helps reserve general-purpose models for complex tasks.

Microsoft exec criticizes AI content scraping as massive labor theft

A Microsoft executive described AI scraping of news content as the largest theft of labor in history. Leaked court documents reveal Microsoft and OpenAI developed a system called NewsPro to collect articles from websites and social media. The system is at the center of a copyright lawsuit led by The New York Times. Microsoft stated it is committed to respecting intellectual property rights.

Colorado investors pivot toward hardware and defense tech startups

Venture capitalists in Colorado are shifting investment focus toward hardware and defense technology startups. This change comes as artificial intelligence reshapes the startup landscape. Area investors say AI is changing how they evaluate and place bets on new companies. The trend reflects broader uncertainty in the software sector.

Portland startup Antfly raises $2 million to simplify AI data retrieval

Antfly, a Portland-based startup, raised $2 million led by Heavybit with participation from 8-Bit Capital. The company addresses the Retrieval Gap by offering a single engine and unified API for AI agents. This replaces the need for multiple databases and search tools. Antfly will use the funding to grow its engineering team and support production customers. The software is currently available as a free self-hosted engine.

Sources

NOTE:

This news brief was generated using AI technology (including, but not limited to, Google Gemini API, Llama, Grok, and Mistral) from aggregated news articles, with minimal to no human editing/review. It is provided for informational purposes only and may contain inaccuracies or biases. This is not financial, investment, or professional advice. If you have any questions or concerns, please verify all information with the linked original articles in the Sources section below.

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