Anthropic Files for IPO Registration
Catch up on the top artificial intelligence news and commentary by Wall Street analysts on publicly traded companies in the space with this daily recap compiled by The Fly.ANTHROPIC FILES FOR IPO:Anthropicin a statement, "Today, Anthropic, PBC confidentially submitted a draft registration statement on Form S-1 to the U.S. Securities and Exchange Commission for a proposed initial public offering of our common stock. This gives us the option to go public after the SEC completes its review. The proposed initial public offering will depend on market conditions and other factors. The number of shares to be offered and the price have not yet been set. This announcement is being published under Rule 135 of the Securities Act of 1933, as amended. It is not an offer to sell securities; nor is it a solicitation of an offer to buy them. Any offers, solicitations of offers to buy, or any sales of securities will be made only in accordance with the registration requirements of the Securities Act."PUBLICLY-SHARING SOFTWARE:OpenAI is open to the idea of publicly-sharing software it's been developing to make its AI run on chips from different providers, which could weaken one of Nvidia'sbiggest advantages, according to. Sachin Katti, who leads compute and infrastructure at OpenAI, said during a conversation centered on AI developers' choice to run workloads across different AI server chips, not just Nvidia's, that OpenAI and its rivals Anthropic and Metadon't want to depend on a single vendor for such a core part of their business, and no one provider can supply them with enough compute capacity anyway, according to the report.ROBOTICS TEAM:OpenAI's Sam Altmanvia X, formerly Twitter, "OpenAI Robotics is hiring, looking for exceptional full-stack hardware, ops, systems, and ML engineers to help us program and manufacture robots that are useful for society. AI should be able to help people in the physical world. In the short term, we are focused on robots to support skilled workers to build our future infrastructure; in the long term, we imagine everyone having a personal robot doing anything they need. Our world simulation research program, led by Aditya Ramesh, has evolved over the past year into OpenAI Robotics. Progress is rapid, and based on a foundation of co-design between robotics hardware and ML research."BUILD:Microsoftis heading to San Francisco this week to court developers at its Build conference, in what's Tom Warren describes as an effort to "win back" a community that has grown frustrated with Windows and GitHub. As the company reshapes its business around artificial intelligence, it has moved Build into a smaller, more intimate venue aimed at rebuilding trust and outlining its roadmap. Sources told The Verge that Microsoft plans to unveil new AI models inside Windows, a new reasoning model from Microsoft AI, and a Copilot "super app." Warren also reports that Microsoft will detail improvements to the Windows developer experience, including a new Windows 11 developer optimized setup featuring a distraction free environment with pre-installed apps, tools, and scripts.AI DISRUPTION FEARS:Software stocks, including ServiceNow, Adobe, Workday, Salesforce, and Microsoft, moved higher on Monday after NvidiaCEO Jensen Huang used his Computex keynote in Taipei, Taiwan to push back on concerns that AI could erode demand for traditional software. Huang said agentic AI should act as a "massive productivity multiplier," arguing that AI agents will rely on and not replace a broad range of software tools. Further, he stated that the shift will ultimately increase demand for software engineering rather than diminish it.NEW PC PROCESSOR:Shares of Qualcomm, Inteland AMDwere under pressure after Nvidiaunveiled a new "superchip." At the Computex 2026 conference in Taiwan, CEO Jensen Huang presented a new N1X processor developed in partnership with Microsoft. It will be incorporated into a new RTX Spark chip, debuting in the fall in the upcoming Windows computers from Microsoft, Dell, and others. The move puts Nvidia in more direct competition with the likes of Intel and AMD.BUY MICROSOFT:Citizens analyst Patrick Walravens initiated coverage of Microsoft with an Outperform rating and $550 price target. The shares are down 7% year-to-date as many investors worry about Microsoft's dependency on third-party AI models, the analyst tells investors in a research note. The firm sees an "attractive opportunity for capital appreciation at these levels for several reasons." Citizens believes Microsoft CEO Satya Nadella has laid out a "compelling and differentiated vision of AI sovereignty." Microsoft is building an end-to-end AI tech stack with three layers, adds the firm. It believes Microsoft has a "very attractive financial profile with revenue growth accelerating."AI DATA CENTER ARCHITECTURE:Fluence Energyshares jumped as much as 40% after the energy storage company, along with Siemensand nVent, announced they had developed a design for Nvidia'splanned AI factory. Siemens said that, together with Nvidia and Fluence, and incorporating nVent-aligned design considerations, has developed an Nvidia DSX Vera Rubin-aligned reference design that translates Nvidia's AI factory vision into a deployable, industrialized electrical, power and controls architecture for hyperscalers, colocation providers, and specialized cloud infrastructure providers.
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- Market Leader: Nvidia is currently the most highly valued company globally, yet its stock does not appear expensive, suggesting it may attract more investor interest in the current market environment.
- Financial Performance: As of the morning prices on May 29, Nvidia's recent financial results indicate strong growth potential, further solidifying its leadership position in the tech industry and likely driving future stock price increases.
- Investor Confidence: With increasing market recognition of Nvidia, investor confidence in its stock is rising, which could lead to more capital inflows and enhance overall market performance.
- Strategic Implications: Nvidia's success not only reflects its innovative capabilities in AI and graphics processing but may also set investment trends across the industry, driving further advancements in related technologies.
- Platform Innovation: NVIDIA's launch of the DSX platform integrates open-source and modular software, providing a comprehensive playbook for AI factory design, deployment, and operations, aimed at accelerating production and enhancing overall operational efficiency by reducing token costs.
- New Software Release: The DSX MaxLPS software combines 45-degree liquid cooling with in-rack optimization technologies, enabling a 40% increase in token performance within a fixed power budget, significantly lowering operational costs and improving GPU utilization.
- Ecosystem Expansion: NVIDIA is partnering with leading Taiwanese system manufacturers to drive the development of the DSX ecosystem, ensuring extreme co-design for AI factories, facilitating rapid deployment and operation on a global scale.
- Market Responsiveness: The introduction of the DSX platform allows infrastructure builders to simulate the entire factory before investment, validating performance to reduce risk and enhance market responsiveness, further solidifying NVIDIA's leadership position in the AI sector.
- Strong Earnings Report: Nvidia's earnings report on May 20 revealed continued growth in sales and earnings, with shareholder returns bolstered by a 2400% increase in dividends and stock buybacks, although the stock price has declined as investor focus shifts to AI memory chips.
- Surge in Custom Chip Demand: Broadcom's collaboration with Google on Tensor Processing Units (TPUs) has led to the recent launch of the 8t and 8i chips for training and inference, respectively, highlighting strong market demand for AI accelerators, with Broadcom's AI growth heavily reliant on six key customers including Google and Meta.
- AI Chip Revenue Guidance: Broadcom's CEO predicts AI chip revenue will reach $100 billion by fiscal 2027, up from $8.4 billion in semiconductor revenue in Q1 2026, with expectations for a rise to $10.7 billion in Q2, indicating robust market potential.
- AI Networking Growth: Broadcom anticipates AI networking will constitute 40% of total AI revenue in Q2 2026, translating to $6.4 billion, underscoring its competitive edge in the AI sector through the integration of networking devices with custom chips, further solidifying its leadership position in AI.
- Market Share Forecast: CEO Hock Tan predicts that Broadcom's AI chip revenue will reach $100 billion by fiscal 2027, up from $8.4 billion in semiconductor revenue in Q1 2026, indicating robust growth potential and an accelerating strategic focus in the AI sector.
- Customer Base Expansion: Broadcom's AI growth heavily relies on six key customers, including Google, Meta, and OpenAI, with a recent partnership with Meta aimed at optimizing AI infrastructure, enhancing market competitiveness, and solidifying the company's leadership in AI accelerators.
- Revenue Composition Analysis: Broadcom expects AI networking to account for 40% of total AI revenue in Q2 2026, translating to $6.4 billion, showcasing strong performance in the AI networking market and reflecting the company's successful strategy of diversifying revenue sources.
- Technological Innovation Outlook: The upcoming Tomahawk 7 switch, set to launch in 2027, will feature double the bandwidth of its predecessor, significantly enhancing its application capabilities in AI clusters and strengthening its competitive position against rivals like Nvidia.
- Accelerated IPO Process: Anthropic has confidentially filed its IPO prospectus with the SEC, signaling a potential historic share sale that is likely to attract investors interested in the rapidly evolving AI sector, thereby enhancing the company's position in this competitive market.
- Market Conditions Impact: Anthropic stated that the timing of its IPO will depend on market conditions and other factors, reflecting the company's sensitivity to market dynamics, which could influence investor confidence and participation levels.
- Capital Expenditure Trends: Alphabet plans to fund its AI computing infrastructure investments through an $80 billion stock sale, including a $10 billion investment from Berkshire Hathaway, highlighting the commitment of major tech firms to the AI sector and its future growth potential.
- Sports Brand Collaboration: NBA star Stephen Curry has partnered with Chinese sportswear brand Li-Ning to launch Curry Brand stores in the U.S. and China, which will not only expand the global footprint of the Curry brand but also provide more resources for product development, further enhancing brand value.
- University Chip Pursuit: At least seven Chinese universities supporting the military are reportedly seeking access to Nvidia's H200 chips, the most powerful AI processors allowed for sale in China by the U.S., highlighting China's ongoing ambition in military technology.
- Blacklist Institutions: Beihang University and Northwestern Polytechnical University, both part of China's 'Seven Sons of National Defense,' are blacklisted by the U.S. Commerce Department due to their collaboration with the PLA, indicating the sensitivity of their work and their desire for advanced technology.
- Diverse Acquisition Methods: These institutions are attempting to acquire Nvidia chips through various means, including purchasing via third-party brokers or renting computing power, reflecting a pressing need for high-performance computing resources.
- Technological Dependence: An Nvidia spokesperson emphasized that the Chinese military has sufficient domestic chips for its needs, underscoring the mutual dependence and competitive dynamics in military technology between the U.S. and China, while also suggesting the complexities and challenges in obtaining H200 chips.











