M.G. Siegler is the author of Spyglass. He joins Big Technology podcast for the first installment of our new monthly discussion about Big Tech strategy and AI! Today, we cover why Apple may want to outsource Siri's brain to Anthropic or OpenAI, the rise of voice Ai, why Anthropic could be the right fit, and the complexity of what working with Apple would mean for Anthropic's business. We also touch on Zuck's superintelligence bet, Elon's new third party, the end of the EV credit, and whether AI browsers are ...

Nvidia Corp NVDA may dominate AI headlines, but JPMorgan's Harlan Sur thinks Broadcom Inc AVGO deserves more credit for building the infrastructure that makes artificial intelligence work.From cutting-edge XPUs to networking muscle and enterprise software, Broadcom is the "#2 global AI semiconductor supplier" and the top name in custom ASICs, Sur says in a research note.XPUs Built For A Million-Cluster WorldBroadcom's AI strategy centers on its custom AI XPU business, which is firing on all cylinders. Sur h ...

Core Viewpoint - The recent ruling by a U.S. judge that allows AI companies to use copyrighted works for training AI models under the doctrine of fair use has created significant concern among content creators and copyright holders [1] Group 1: Impact on Content Creators - Content creators and copyright holders are facing a "survival crisis" as users increasingly prefer to obtain information through AI chatbots rather than visiting original content links, leading to a 30% decrease in click-through rates for traditional URLs since the launch of Google's AI Mode [8][10] - The emergence of AI companies has shifted the dynamic from a dispute over revenue sharing to a more existential threat for copyright holders, as many AI firms do not compensate for the content they scrape [10] Group 2: Cloudflare's Response - Cloudflare has announced a default feature to block AI crawlers from scraping content without the website owner's permission, aiming to restore control to creators while still supporting AI innovation [3][5] - The company offers a "pay-per-use" model for AI firms to access content, providing a feasible path for AI companies to obtain content legally while empowering smaller websites to protect their data [15] Group 3: Technical Measures Against AI Crawlers - Cloudflare employs advanced techniques such as the "5-second challenge" and "AI Labyrinth" to differentiate between human users and automated tools, effectively thwarting many AI crawlers [10][12][13] - The "AI Labyrinth" strategy involves embedding hidden links that lead crawlers to meaningless content, thereby wasting their computational resources and bandwidth [12][13] Group 4: Market Dynamics - The competitive landscape is shifting as Cloudflare positions itself as a protector of content creators while also facilitating a payment structure for AI companies, creating a win-win scenario [6][15] - Major AI firms, such as Google and OpenAI, are already investing significantly in content acquisition, indicating a willingness to pay for quality content, which highlights the potential for a structured payment system [15]

文 | 刀客doc 在过去十年里，媒体与谷歌是一对牢不可破的盟友：媒体提供优质内容吸引流量，谷歌则借助搜索引擎 和广告网络持续分发这份流量，实现双赢。 但近期，刀客doc发现双方的关系开始出现裂痕。一个开始想要脚踏两只船，一方又开始往回找补，试 图挽回。 事情是这样的。 一、 7月3日科技媒体The Information报道，谷歌正加紧招聘一线广告技术工程师和产品经理，以推进面向媒 体方的新工具开发。这一招聘行动覆盖全球多个主要市场，岗位职责集中在优化谷歌Ad Manager和AdX 平台的功能，尤其是围绕内容解锁和用户付费路径的创新设计。 其实在6月底，谷歌就已经其广告业务线上正式上线了一款面向媒体方的新工具——Offerwall（国内常 称为"积分墙"）。简单来说，它是一种介于纯广告与传统付费墙之间的"混合变现"方式：媒体方可以通 过展示奖励式广告、问卷调研或一次性小额付费，为访问者提供内容解锁通道。 虽然市场上早已有类似的"积分墙"玩法，不过谷歌这次是和新闻媒体网站合作的，它将Offerwall直接内 嵌到平台管理界面，让媒体在广告管理后台，在几分钟内即可启用，无需支付额外的开发成本，相当于 一键启动 ...

Core Insights - The American Federation of Teachers (AFT) announced a partnership with Microsoft, OpenAI, and Anthropic to develop a training program for educators to better understand AI technology [1][2] - The collaboration involves a total investment of $23 million to establish a training center in New York, aiming to train 400,000 educators over the next five years [1] - The initiative is a response to the increasing integration of AI in education, addressing both opportunities and challenges, such as academic integrity issues arising from the use of generative AI tools by students [1] Group 1 - The AFT represents 1.8 million educators across the U.S., covering K-12 education [1] - The training program is set to launch in the fall of this year, with a focus on both online and offline learning methods [1] - Feedback from educators will be collected to improve AI products and promote technology adoption in the U.S. education system [1] Group 2 - AFT President Randy Weingarten highlighted the challenges teachers face in using AI ethically and effectively [2] - Schools across the U.S. are responding differently to AI, with some banning its use in classrooms while others are exploring its integration [2] - The U.S. Department of Education is establishing an AI lab to explore the educational potential of AI and develop a nationwide model for effective classroom integration [2]

Kakao代表郑臣雅。图片来源：JAEHYUN KIM FOR FORBES ASIA 韩国的小腾讯Kakao与Open AI达成了一项战略合作，以为其国民级应用KakaoTalk的4900万用户（覆盖韩国94%人口）提供超个性化服务。虽 然在聊天软件中植入人工智能"代理"的"创意"并不算新鲜，但Kakao此次的产品"革命"决心却是目前全球互联网大厂中最激进的一个。 KakaoTalk之后的新增功能包含了为用户预订餐厅、添加日程提醒、预约出租车以及支付餐费等人工智能服务。郑臣雅认为，这将有利于提升 用户粘性，将吸引更多广告投放（广告是Kakao核心收入来源之一），并提升广告在聊天界面和各服务频道的用户触达率。 原文标题：《韩国互联网巨头Kakao与OpenAI合作，助力业务增长》 2月初，在首尔一场座无虚席的媒体发布会上，韩国互联网巨头Kakao代表郑臣雅步伐坚定地走上台，倾身问候OpenAI联合创始人山姆·阿尔特曼（Sam Altman）。 历经六个月的谈判，两家企业最终达成战略合作——市值200亿美元的Kakao将由此获得这家美国AI巨头的强大技术支持。正如郑臣雅在台上所言，这项 合作或将"使我们能想象到 ...

Core Insights - Microsoft has adopted a unique strategy in the AI era by focusing on monetizing AI capabilities without developing foundational models, resulting in a market capitalization increase from $2 trillion to $3 trillion in three years [1] - The concept of a "future company" is defined as a human-machine hybrid organization that allows humans to focus on creativity while AI handles routine tasks [3][4] - The integration of AI into Microsoft 365 aims to address the "modern work digital dilemma," where 60% of work time is spent on routine tasks, leaving only 40% for deep thinking and value creation [2] Group 1: Microsoft's Vision for Future Companies - Microsoft envisions a future where AI acts as a colleague, enhancing productivity by allowing humans to concentrate on creative tasks [3] - The company is leveraging insights from neuroscience to reshape the relationship between humans and work, creating a new organizational structure that integrates AI as a core asset [3][4] Group 2: AI Colleagues and Their Capabilities - Microsoft has introduced AI colleagues with five core functions: chat, search, note-taking, design, and intelligent execution, transforming AI from a standalone tool into an omnipresent work partner [6][7] - These AI colleagues can perform complex tasks such as deep multi-step reasoning and cross-domain information integration, significantly enhancing productivity [7] Group 3: Milestones in AI Integration - Key milestones in Microsoft's AI integration include embedding AI capabilities into Office applications, enhancing hardware specifications for AI processing, and developing a comprehensive AI ecosystem [8][9] - The timeline outlines the evolution from initial integration in 2023 to the establishment of an AI agent store and the ability for enterprises to train their own AI agents by 2025 [8] Group 4: Building an AI Agent Network - Microsoft is constructing an "agent network" that facilitates seamless collaboration between AI and humans across various applications, enhancing organizational efficiency [10][11] - This network aims to support complex problem-solving and improve productivity by allowing AI agents to communicate and share knowledge within the organization [10] Group 5: Commercialization Strategy - Microsoft's approach to AI commercialization involves three stages: offering models as a service, embedding AI into products, and creating an ecosystem for third-party agents [12][13] - The company is transitioning from a model of selling APIs to building a comprehensive ecosystem that includes various AI functionalities and third-party integrations [12][13] Group 6: Organizational Transformation through AI - The integration of AI into business processes is seen as a transformative force, reshaping how organizations operate and interact with technology [21][22] - Companies are encouraged to measure AI usage as a key performance indicator, reflecting the importance of human-agent collaboration in driving productivity [22][23] Group 7: Future Implications - The evolution of AI in the workplace suggests that the true winners will be those who can harmonize technology, talent, processes, and organizational structures [24] - The concept of "human-agent ratio" is emerging as a critical metric for companies to assess their AI strategies and enhance competitive advantage [24]

Core Insights - OpenAI has successfully recruited four top engineers and researchers from Tesla, xAI, and Meta, focusing on building the infrastructure for Artificial General Intelligence (AGI) [1][4] - This recruitment is seen as a counteraction to Meta's recent talent acquisition efforts, which have included hiring at least seven core researchers from OpenAI [4] - The ongoing competition in the AI industry is characterized as a "power war, chip war, and data center war," where the ability to train more powerful models at lower costs will define the rules of the AGI era [4] Group 1 - The new members joining OpenAI include David Lau, Uday Ruddarraju, Mike Dalton, and Angela Fan, each with significant experience in AI and infrastructure [4] - OpenAI CEO Sam Altman has indicated that the company will adjust the salary structure for researchers to remain competitive in the talent market [4] - The recruitment of these engineers is part of a broader trend of talent movement within the AI industry, reflecting the high stakes involved in developing advanced AI technologies [4]

Core Viewpoint - The recently passed "Big Beautiful" bill is significantly transforming the American business landscape, redefining the winners and losers among various industries [1] Private Equity and Fossil Fuels - The private equity industry, valued at $13 trillion, is one of the biggest beneficiaries of the bill, retaining the "carried interest" tax loophole [2][3] - This loophole allows traders to pay performance profit taxes at a lower long-term capital gains tax rate, saving the industry billions annually [3] - The bill also extends fixed debt interest tax deductions and depreciation benefits, lowering tax rates for many private equity-backed companies [4] Retail Industry - The bill reduces federal food assistance, with the Supplemental Nutrition Assistance Program (SNAP) expected to see a $9 billion cut next year, impacting grocery spending [5][6] - Companies like Conagra, Kellogg, and Kraft Heinz may face sales pressure due to their reliance on SNAP user spending [6] - The bill eliminates tariff exemptions for imported goods valued under $800, benefiting brick-and-mortar retailers while pressuring small businesses [6] Healthcare Industry - The healthcare sector avoided severe cuts, with Medicaid funding reductions being less than anticipated [7][8] - For-profit hospital chains like Tenet Healthcare and HCA Healthcare saw stock price increases, although predictions indicate that 11.8 million Americans may lose health insurance by 2034 [8] - Smaller hospitals, heavily reliant on Medicaid, may struggle more than larger institutions [9] Energy Sector - The energy industry is experiencing a split impact, with coal unexpectedly benefiting from tax credits for metallurgical coal production [10] - Zero-carbon energy sources like geothermal and nuclear retain substantial tax credits, while many solar and wind projects will lose investment and production tax credits [10] - The cancellation of electric vehicle tax incentives may lead to contractor bankruptcies, as the total credits for 2023 amount to $8.4 billion [10] Technology Sector - The technology sector, particularly companies like Tesla, faces significant challenges due to the loss of electric vehicle tax incentives and new AI regulations [11] - Private aerospace companies like SpaceX and Blue Origin benefit from provisions allowing municipal bond financing for spaceports [11] Defense Industry - The defense sector is a major winner, with an additional $150 billion in budget increases, pushing total defense spending towards $1 trillion [12][13] - Traditional defense contractors like Lockheed Martin and emerging tech firms like Anduril and Palantir are expected to benefit from increased funding for missile defense and naval capabilities [13] Higher Education - The bill imposes an 8% tax on investment income for wealthy universities, affecting only 16 institutions, with Harvard expected to lose $267 million annually [14] - Cuts to student loans and support may indirectly raise university costs, straining state funding for public universities [14]

Core Insights - OpenAI is struggling to find a sustainable profit model despite its integration into Microsoft's Azure ecosystem and widespread use of its technology by various enterprises [2] - The company's attempts to establish direct partnerships with advertising agencies have been hindered by existing agreements with Microsoft, which allow agencies to access OpenAI's tools without direct contracts [3][4] - OpenAI's shift towards enterprise services and subscription models has led to significant revenue growth, but the company is still facing substantial losses [8] Group 1: Challenges with Advertising Agencies - OpenAI has been actively reaching out to advertising agencies for deeper collaboration, sometimes requesting prepayments of up to one million dollars, which has deterred many agencies from direct partnerships [3] - The existing relationship with Microsoft complicates OpenAI's efforts, as agencies can utilize OpenAI's models through Microsoft without needing to engage directly with OpenAI [4] - Some independent agencies, like LERMA, are willing to sign direct agreements with OpenAI, indicating a potential avenue for collaboration with smaller firms [3] Group 2: Impact of AI on Advertising - The rise of AI tools like ChatGPT is changing how brands appear in consumer search paths, making it crucial for brands to maintain visibility within large language models (LLMs) [6] - A significant portion of U.S. consumers, 35.8%, frequently use ChatGPT, and 58% have replaced traditional search engines with AI tools, highlighting a shift in consumer behavior [6] - Leading advertising agencies are forming dedicated AI search teams to adapt to these changes, indicating a major evolution in advertising strategies [7] Group 3: OpenAI's Revenue Growth and Losses - OpenAI has introduced various subscription models, including ChatGPT Enterprise, which has helped its commercial user base exceed 3 million and annual recurring revenue to double to 10 billion dollars [8] - Despite this growth, OpenAI reported a loss of nearly 5 billion dollars in 2024, indicating that even profitable subscription models are not enough to cover operational costs [8] - The company is restructuring its enterprise subscription model to a usage-based system, which may attract more budget-sensitive clients [8] Group 4: Strategic Transformation in Advertising - OpenAI's advancements are prompting the advertising industry to rethink its role, shifting from merely placing ads to influencing how algorithms perceive brands [9] - The transition to AI as a primary marketing channel means that OpenAI is redefining how brands are seen and understood in the digital landscape [9] - The advertising industry is at a crossroads, needing to adapt to the evolving dynamics of AI and its implications for brand visibility and consumer engagement [9]