News & Updates
The latest news and updates from companies in the WLTH portfolio.
Snowflake and Anthropic Accelerate Enterprise AI Adoption Driven by Rising Demand for Governed AI
SAN FRANCISCO--(BUSINESS WIRE)--Jun 1, 2026-- SNOWFLAKE SUMMIT 26--Snowflake (NYSE: SNOW), the AI Data Cloud company, and Anthropic, the AI safety and research company, today announced at Snowflake Summit 26 significant momentum in their strategic partnership. Enterprises are increasingly adopting Anthropic Claude in Snowflake Cortex AI, Snowflake's suite of AI products, driven by growing demand for governed, production-ready AI. Together, Snowflake and Anthropic are helping enterprises move from AI experimentation to production faster.
Snowflake and Anthropic Accelerate Enterprise AI Adoption Driven by Rising Demand for Governed AI
Accelerating Enterprise Adoption: Snowflake and Anthropic's momentum reflects accelerating enterprise adoption, with customers including Basis, Block, Carvana, eSentire, Indeed, Notion, and more Trusted AI for the Enterprise: Snowflake Cortex AI makes AI ready for enterprise use by bringing governance, security, observability, and scale to Anthropic models operating directly on data within Snowflake Deepening Co-Innovation: Snowflake... * Accelerating Enterprise Adoption: Snowflake and Anthropic's momentum reflects accelerating enterprise adoption, with customers including Basis, Block, Carvana, eSentire, Indeed, Notion, and more * Trusted AI for the Enterprise: Snowflake Cortex AI makes AI ready for enterprise use by bringing governance, security, observability, and scale to Anthropic models operating directly on data within Snowflake * Deepening Co-Innovation: Snowflake and Anthropic are deepening co-innovation across Snowflake Cortex AI -- with Claude powering Snowflake Cortex Code and Snowflake Intelligence -- as well as Claude Marketplace, and security-focused development workflows SAN FRANCISCO -- SNOWFLAKE SUMMIT 26- Snowflake (NYSE: SNOW), the AI Data Cloud company, and Anthropic, the AI safety and research company, today announced at Snowflake Summit 26 significant momentum in their strategic partnership. Enterprises are increasingly adopting Anthropic Claude in Snowflake Cortex AI, Snowflake's suite of AI products, driven by growing demand for governed, production-ready AI. Together, Snowflake and Anthropic are helping enterprises move from AI experimentation to production faster. Building on Snowflake's and Anthropic's expanded partnership from December 2025, which integrated Claude models directly into Cortex AI across all major cloud platforms and established a joint go-to-market strategy, Snowflake and Anthropic are helping global enterprises deploy AI agents on their most critical business data. Anthropic delivers frontier model capabilities through Claude, while Snowflake makes Claude enterprise-ready, bringing it directly to the data, governance, security, and collaboration environment where customers already operate. Through Cortex AI, customers can use Claude with their Snowflake data, deploy AI agents with enterprise-grade controls, and select the Anthropic model that best fits their specific workload without moving sensitive data outside the Snowflake environment. "The rapid adoption of models like Claude through Snowflake Cortex AI reflects a broader shift in what enterprises expect from AI," said Christian Kleinerman, EVP of Product, Snowflake. "Customers want AI that works directly on their governed data, not in isolated systems. We're seeing strong demand across our AI products, with Snowflake Cortex Code becoming the fastest-growing product in Snowflake's history. Together with Anthropic, we're helping organizations move from experimentation to production faster and laying the foundation for the agentic enterprise, where AI, data, and governance work together to drive real business outcomes." "Snowflake customers are increasingly using Claude to power cybersecurity investigations, accelerate financial analysis, build production data apps, and many other workflows," said Steve Corfield, Head of Global Business Development & Partnerships, Anthropic. "Snowflake brings the governed data environment enterprises already rely on, and Claude brings the reasoning to put that data to work. Together we're making it easy for organizations to use trusted AI on their most critical business data." Enterprise Momentum Across Customers and Partners As enterprises operationalize AI across critical workflows, customers are turning to Snowflake and Anthropic to support advanced use cases that require deep context, strong reasoning, and enterprise-grade controls. These include customer support and financial analysis, as well as life sciences research, developer productivity, and sales intelligence where real business context is critical. This momentum spans every industry as organizations look to run AI directly on governed data within the systems where their businesses already operate. Snowflake's partner ecosystem extends this value, helping joint customers design, deploy, and scale Snowflake and Anthropic AI solutions to drive real business outcomes. "As marketing environments grow more complex and data-driven, organizations need solutions that optimize performance while operating within a secure, scalable data foundation," said Hiten Mistry, SVP of Product, Basis. "Leveraging Claude with Snowflake's trusted environment would empower Basis to deliver deeper insights and more automation across the marketing lifecycle. Basis aligns with Snowflake in delivering the transparency, governance, and flexibility that enterprises need to drive measurable outcomes and scale marketing operations." "At Block, we're focused on building an AI-native operating layer that connects intelligent reasoning directly to the trusted data powering our ecosystems across our different brands (including Square, Cash App, and Afterpay)," said Arnaud Weber, Engineering Lead, Block. "By combining Anthropic Claude with Snowflake's governed data platform, our teams can investigate compliance and security issues in real-time, trace controls and requirements, surface operational insights, and automate workflows grounded in trusted enterprise data. Developers are also using Snowflake Cortex Code to build and operationalize these capabilities directly within Snowflake, creating a unified layer where AI can move seamlessly from analysis to action. This approach helps us reduce friction across investigations and decision-making, while maintaining the governance, performance, and scalability needed to apply AI responsibly across financial services and commerce." "Carvana manages a highly dynamic operation spanning inventory, logistics, financing, and customer demand," said Alex Devkar, Senior Vice President of Engineering and Analytics, Carvana. "That complexity makes AI most powerful when it can work securely with governed enterprise data inside the systems our teams already use. By combining Claude with Snowflake, we can move faster, apply AI more effectively, and maintain the controls required to operate at scale." "Our work with Snowflake and Anthropic brings together leading AI capabilities with a governed data foundation, enabling organizations to embed intelligence directly into their core business processes," said Jason Salzetti, Chair and CEO, Deloitte Consulting LLP. "Deloitte plays a critical role in helping clients design, build, and scale these solutions, accelerating time to value while supporting the alignment of AI to enterprise standards for risk, compliance, and performance. This collaboration is helping our joint clients turn AI ambition into measurable business outcomes." "As cyber threats become more sophisticated and move at machine speed, organizations need AI that can reason deeply while operating within a secure, governed data environment," said Dustin Hillard, CPTO, eSentire. "By leveraging Claude within Snowflake's trusted environment, we're able to power AI-led threat investigations that autonomously handle Tier 1 analysis, freeing our SOC analysts to focus on complex threats with greater speed and precision. This approach gives our customers the transparency, governance, and operational scale required to confidently deploy AI in mission-critical cybersecurity workflows." "At Indeed, our mission is to help people get jobs. We use intelligent, AI-driven solutions to make the hiring process seamless and efficient for everyone," Trey Henninger, VP Data and Analytics, Indeed. "Harnessing Anthropic Claude within Snowflake's trusted AI Data Cloud allows us to make our data interactable for all Indeed employees. This shift to self-service analytics means we move from data to insights much faster, ultimately improving the hiring process with personalized experiences for job seekers and sophisticated, data-driven tools for employers." "Notion is defining how AI and enterprise data come together in the modern workspace, bringing intelligence directly into the flow of everyday work," said Ravi Menon, Head of Data, Notion. "By integrating models like Claude with Snowflake's governed data platform, we're giving teams the ability to generate content, synthesize knowledge, and access real time business insights all in one place. We've created agents like Data Scout that pull directly from Snowflake, helping customers move from question to insight to action without friction. The result is a more powerful and trusted experience, where AI is grounded in secure, reliable data and teams can make faster, more confident decisions." Snowflake and Anthropic Co-Innovate to Bring Governed AI to the Enterprise Snowflake and Anthropic are partnering closely to help enterprises build AI that is powerful, secure, and deeply grounded in their business context. The two companies have rapidly expanded their co-innovation, working in lockstep to bring advanced AI capabilities into production for enterprise customers. This deep collaboration reflects a shared commitment to making AI practical, governed, and scalable for real business use cases. Key areas of innovation include: * Apply advanced AI to governed enterprise data: Snowflake brings Anthropic Claude models into Cortex AI so customers can use frontier reasoning across all data types while maintaining Snowflake governance and security controls. * Empower knowledge workers to turn data into action: Snowflake Intelligence, the personal agent that helps you work smarter, is powered by industry-leading models like Claude to enable natural language queries, reasoning across enterprise data, and helps turn insights into action. By combining deep business context with trusted governance and frontier AI models, Snowflake Intelligence helps teams move beyond static dashboards to uncover the "why" and accelerate faster, more confident decision-making. * Accelerate developer productivity on enterprise data workloads: Snowflake Cortex Code, the coding agent where you build faster, which has become Snowflake's fastest-growing product ever with more than 7,100 users, is also powered by leading models like Claude. It is purpose-built for Snowflake schemas, data apps, and workflows. It translates a single prompt into production ready pipelines and apps, making it ideal for enterprises managing complex data and governance in Snowflake. Enterprises already using Claude Code for software, API, and app development can securely bring governed Snowflake data into their development workflows through the Cortex Code plugin for Claude Code. * Build production-ready AI agents on trusted data: Cortex Agents, Snowflake's framework for building enterprise AI agents, enables customers to build agents that retrieve, reason over, and act on governed enterprise data, with Claude supporting a range of use cases including customer support automation, data analysis, and core operations. * Simplify how enterprises engage and scale AI investments: As one of six launch partners in the Claude Marketplace, Snowflake is working with Anthropic to simplify procurement and unlock joint commercial models, enabling customers to apply existing Anthropic commitments toward Snowflake AI capabilities and consolidate their AI spend. * Strengthen security and responsible AI deployment: Snowflake and Anthropic share a commitment to enterprise-grade security, governance, and responsible AI, including collaboration on emerging Claude Code Security capabilities that help organizations identify, assess, and remediate vulnerabilities with built-in human oversight. Learn More: * Get started with Anthropic and Snowflake in this quickstart. * Check out all the innovations and announcements coming out of Snowflake Summit 26 on Snowflake's Newsroom. * Stay on top of the latest news and announcements from Snowflake on LinkedIn and X, and follow along at #SnowflakeSummit. About Snowflake Snowflake is the platform for the AI era, making it easy for enterprises to innovate faster and get more value from data. More than 13,900 customers around the globe, including hundreds of the world's largest companies, use Snowflake's AI Data Cloud to build, use and share data, applications and AI. With Snowflake, data and AI are transformative for everyone. Learn more at snowflake.com (NYSE: SNOW). Forward‑Looking Statements This press release contains express and implied forward-looking statements, including statements regarding (i) our future operating results, targets, or financial position; (ii) our business strategy, plans, opportunities, or priorities; (iii) the release, adoption, and use of our new or enhanced products, services, and technology offerings, including those that are under development or not generally available; (iv) market size and growth, trends, and competitive considerations; (v) our vision, strategy and expected benefits relating to artificial intelligence (AI), the enterprise AI revolution, Snowflake Cortex AI, Snowpark, Snowflake Marketplace, the AI Data Cloud, and AI Data Clouds for specific industries or product categories, including the expected benefits and network effects of the AI Data Cloud; and (vi) the integration, interoperability, and availability of our products, services, and technology offerings with and on third-party products and platforms, including public cloud platforms and AI models. These forward-looking statements are subject to a number of risks, uncertainties and assumptions, including those described under the heading "Risk Factors" and elsewhere in the Quarterly Reports on Form 10-Q and the Annual Reports on Form 10-K that Snowflake files with the Securities and Exchange Commission. In light of these risks, uncertainties, and assumptions, actual results could differ materially and adversely from those anticipated or implied in the forward-looking statements. As a result, you should not rely on any forward-looking statements as predictions of future events. © 2026 Snowflake Inc. All rights reserved. Snowflake, the Snowflake logo, and all other Snowflake product, feature and service names mentioned herein are registered trademarks or trademarks of Snowflake Inc. in the United States and other countries. All other brand names or logos mentioned or used herein are for identification purposes only and may be the trademarks of their respective holder(s). Snowflake may not be associated with, or be sponsored or endorsed by, any such holder(s). View source version on businesswire.com: https://www.businesswire.com/news/home/20260601623088/en/ Contacts Media Contacts: Kaitlyn Hopkins Director of Product PR, Snowflake [email protected]
Snowflake and Anthropic Accelerate Enterprise AI Adoption Driven by Rising Demand for Governed AI
Snowflake is the platform for the AI era, making it easy for enterprises to innovate faster and get more value from data. More than 13,900 customers around the globe, including hundreds of the world's largest companies, use Snowflake's AI Data Cloud to build, use and share data, applications and AI. With Snowflake, data and AI are transformative for everyone. Learn more at snowflake.com (NYSE: SNOW). This press release contains express and implied forward-looking statements, including statements regarding (i) our future operating results, targets, or financial position; (ii) our business strategy, plans, opportunities, or priorities; (iii) the release, adoption, and use of our new or enhanced products, services, and technology offerings, including those that are under development or not generally available; (iv) market size and growth, trends, and competitive considerations; (v) our vision, strategy and expected benefits relating to artificial intelligence (AI), the enterprise AI revolution, Snowflake Cortex AI, Snowpark, Snowflake Marketplace, the AI Data Cloud, and AI Data Clouds for specific industries or product categories, including the expected benefits and network effects of the AI Data Cloud; and (vi) the integration, interoperability, and availability of our products, services, and technology offerings with and on third-party products and platforms, including public cloud platforms and AI models. These forward-looking statements are subject to a number of risks, uncertainties and assumptions, including those described under the heading "Risk Factors" and elsewhere in the Quarterly Reports on Form 10-Q and the Annual Reports on Form 10-K that Snowflake files with the Securities and Exchange Commission. In light of these risks, uncertainties, and assumptions, actual results could differ materially and adversely from those anticipated or implied in the forward-looking statements. As a result, you should not rely on any forward-looking statements as predictions of future events.
Anthropic races toward a Wall Street debut with a confidential SEC filing
Artificial intelligence company Anthropic is moving toward going public on Wall Street, the latest chapter in its meteoric rise from a little-known research laboratory to one of the leading AI companies valued at $965 billion. Anthropic said Monday it has submitted a confidential filing with the U.S. Securities and Exchange Commission for a proposed initial public offering of its common stock. "This gives us the option to go public after the SEC completes its review," Anthropic said in a brief statement. "The proposed initial public offering will depend on market conditions and other factors." The company said it hasn't decided on the number or price of shares to be offered. Anthropic said last week it had raised $65 billion in private funding that will push its valuation to $965 billion, a whopping number that makes the five-year-old maker of the Claude chatbot one of the world's most valuable startups. The announcement vaulted Anthropic ahead of its chief rival, ChatGPT maker OpenAI, both in market value and in reported revenue. Anthropic said it's now making annualized revenue of $47 billion from selling its technology to people and organizations using Claude to write code and do other work and personal tasks on their behalf. Anthropic was formed in 2021 by ex-OpenAI leaders and now both AI firms, along with Elon Musk's rocket and AI company SpaceX, are all expected to become publicly traded. All three have been losing more money than they make, fueling concerns of an AI bubble. Wedbush Securities analyst Dan Ives said Anthropic's move "represents a major step for Anthropic to get ahead of OpenAI" and "an opening of the floodgates for the IPO market, which has been relatively dormant for a few years, with these three major conglomerates set to go public later this year." Anthropic also last week launched its newest AI model, called Claude Opus 4.8, boasting that it is even better at coding and other professional work than previous models. Claude's growing popularity has left OpenAI playing catch-up despite its early lead in making ChatGPT a household name that sparked a commercial AI boom. OpenAI last reported in March it was heading toward a $852 billion valuation after a $122 billion fundraising round. It has not yet reported filing initial IPO paperwork with the SEC. SpaceX was valued at $800 billion last year, but its value grew to $1.25 trillion after the space exploration company merged with Musk's xAI in February. Musk recently announced plans for one of the biggest stock sales ever and will be able to pitch the offering to investors as soon as this week.
No-Taiwan Invasion Odds Hold Near 99% on Polymarket
Following the Singapore defense forum coverage, market chatter around the China-Taiwan scenario remains unchanged as of the latest session. The Polymarket contract tied to whether China will invade Taiwan by June 30, 2026 continues trading with the No outcome leading at roughly 99% implied odds, keeping risk parity for traders. Defense spending and security tensions in Asia dominated the 2026 IISS Shangri-La Dialogue in Singapore, with nations signaling higher defense budgets and greater regional vigilance. The event saw bellwether comments on China's posture and the Ukraine war's lessons shaping Asia-Pacific security thinking, as delegates from multiple countries pressed for stronger deterrence and cooperation. Beijing again sent a low-level delegation, while several Asia-Pacific governments signaled readiness to boost spending and capabilities in response to perceived rising risks. The gathering underscored a broader market narrative that geopolitical frictions could weigh on regional stability, potentially influencing defense procurement and alliance dynamics in the near term. Prediction Market Reaction Polymarket data show the binary contract on whether China invades Taiwan by June 30, 2026 remains skewed toward the No outcome, with the leading option already priced to around 99% odds and a notable absolute volume interest at the current level. The Yes side trades at roughly 0.75 odds, while No sits near 99.25, reflecting traders' belief in a low probability of a cross-strait invasion before the stated date. Total notional volume on the contract stands in the mid-eight-digit USD range, indicating persistent hedging and pre-settlement positioning as market participants react to evolving regional security signals.
Trump-linked fund sparking odds shifts as Newsom leads Polymarket nomineer race
A Forbes-primed report on May 31, 2026 highlighted a broad field of applicants for a controversial $1.8 billion fund linked to Donald Trump, with figures ranging from George Santos to Mike Lindell becoming potential claimants. In this environment, traders on Polymarket have sparked activity around the Democratic Presidential Nominee 2028 contract, recalibrating odds as the market remains open for bets ahead of the 2028 race. A Forbes briefing published on May 31, 2026, outlines a widening list of applicants for Trump's $1.8 billion anti-weaponization fund, detailing names tied to the effort and the political backlash surrounding the program. The piece notes that court challenges and criticisms have accompanied the fund, while several high-profile figures are publicly weighing claims, casting a spotlight on how policy tangents can ripple through political sentiment. As the story moves through media cycles, investors are watching for any shifts in how such actions might influence voter attitudes and fundraising dynamics ahead of the next White House contest. The report underscores how these developments intersect with broader political risk, potentially affecting market-perceived probabilities for Democratic contenders in 2028, even as this is a separate policy thread from the Polymarket contract. Market participants are translating those political risk signals into price moves on contract bets tied to the nomination outcome, with liquidity remaining robust in a market that captures evolving expectations. Prediction Market Reaction Leading outcome Gavin Newsom carries roughly 26% implied probability in the current market, with other plausible contenders showing far thinner odds. Across the strike list, Yes odds for Gavin Newsom hover near 26.75% while No odds sit around 73.25%, and the overall contract has seen sustained volume as traders position around high-profile names such as Alexandria Ocasio-Cortez and Kamala Harris. For a perpendicular view, the Yes odds for Alexandria Ocasio-Cortez sit near 10.45% with No at 89.55%, while Kamala Harris shows about 7.85% Yes and 92.15% No, reflecting a steep skew away from these alternatives. Volume on the multi-outcome contract remains elevated, with hundreds of millions in notional traded as participants concentrate bets around the top two outcomes and selectively hedge across the rest of the field. By the Numbers Top strike rungs +41 more strikes not shown
Snowflake Integrates Anthropic AI for Secure In-Platform Use
Partnership enables enterprises to utilize Claude AI directly within Snowflake, avoiding sensitive data exports. Carvana, Isentia, Notion among adopters. Snowflake, a U.S. data cloud service provider, announced that it will offer an integrated service enabling direct use of Anthropic's AI model Claude within its data platform. This aims to address enterprises' security concerns by allowing AI utilization without exporting sensitive customer information and financial data externally. On the 1st, local time, Snowflake held its annual conference 'Snowflake Summit 2026' at the Moscone Center in San Francisco, California, and announced a new partnership with Anthropic. The core of this partnership is that sensitive corporate data does not need to be moved to external AI services. Previously, companies sent data to AI by inputting internal documents into Claude to effectively use AI, leading to security and regulatory issues. Snowflake aims to bring AI directly to where company data resides, adopting a strategy of "bringing AI to the data instead of sending data to AI." Through this partnership, enterprise customers can use Claude based on their own data stored in Snowflake and create AI agents while maintaining existing enterprise controls such as security, governance, observability, and scalability. Snowflake also disclosed various use cases from enterprise customers. The U.S. online used car platform 'Carvana' is applying AI to inventory, logistics, finance, and customer demand management, while 'Isentia' is utilizing Claude for cybersecurity threat investigations. 'Notion' has created an AI agent that directly pulls Snowflake data to build workflows from questions to insights and execution.
Snowflake and Anthropic Accelerate Enterprise AI Adoption Driven by Rising Demand for Governed AI
All information and data in this article is solely for informational purposes. For more information please view the Barchart Disclosure Policy here SNOWFLAKE SUMMIT 26-- Snowflake (NYSE: SNOW), the AI Data Cloud company, and Anthropic, the AI safety and research company, today announced at Snowflake Summit 26 significant momentum in their strategic partnership. Enterprises are increasingly adopting Anthropic Claude in Snowflake Cortex AI , Snowflake's suite of AI products, driven by growing demand for governed, production-ready AI. Together, Snowflake and Anthropic are helping enterprises move from AI experimentation to production faster. This press release features multimedia. View the full release here: https://www.businesswire.com/news/home/20260601623088/en/ Building on Snowflake's and Anthropic's expanded partnership from December 2025, which integrated Claude models directly into Cortex AI across all major cloud platforms and established a joint go-to-market strategy, Snowflake and Anthropic are helping global enterprises deploy AI agents on their most critical business data. Anthropic delivers frontier model capabilities through Claude, while Snowflake makes Claude enterprise-ready, bringing it directly to the data, governance, security, and collaboration environment where customers already operate. Through Cortex AI, customers can use Claude with their Snowflake data, deploy AI agents with enterprise-grade controls, and select the Anthropic model that best fits their specific workload without moving sensitive data outside the Snowflake environment. "The rapid adoption of models like Claude through Snowflake Cortex AI reflects a broader shift in what enterprises expect from AI," said Christian Kleinerman, EVP of Product, Snowflake. "Customers want AI that works directly on their governed data, not in isolated systems. We're seeing strong demand across our AI products, with Snowflake Cortex Code becoming the fastest-growing product in Snowflake's history. Together with Anthropic, we're helping organizations move from experimentation to production faster and laying the foundation for the agentic enterprise, where AI, data, and governance work together to drive real business outcomes." "Snowflake customers are increasingly using Claude to power cybersecurity investigations, accelerate financial analysis, build production data apps, and many other workflows," said Steve Corfield, Head of Global Business Development & Partnerships, Anthropic. "Snowflake brings the governed data environment enterprises already rely on, and Claude brings the reasoning to put that data to work. Together we're making it easy for organizations to use trusted AI on their most critical business data." Enterprise Momentum Across Customers and Partners As enterprises operationalize AI across critical workflows, customers are turning to Snowflake and Anthropic to support advanced use cases that require deep context, strong reasoning, and enterprise-grade controls. These include customer support and financial analysis, as well as life sciences research, developer productivity, and sales intelligence where real business context is critical. This momentum spans every industry as organizations look to run AI directly on governed data within the systems where their businesses already operate. Snowflake's partner ecosystem extends this value, helping joint customers design, deploy, and scale Snowflake and Anthropic AI solutions to drive real business outcomes. "As marketing environments grow more complex and data-driven, organizations need solutions that optimize performance while operating within a secure, scalable data foundation," said Hiten Mistry, SVP of Product, Basis . "Leveraging Claude with Snowflake's trusted environment would empower Basis to deliver deeper insights and more automation across the marketing lifecycle. Basis aligns with Snowflake in delivering the transparency, governance, and flexibility that enterprises need to drive measurable outcomes and scale marketing operations." "At Block, we're focused on building an AI-native operating layer that connects intelligent reasoning directly to the trusted data powering our ecosystems across our different brands (including Square, Cash App, and Afterpay)," said Arnaud Weber, Engineering Lead, Block . "By combining Anthropic Claude with Snowflake's governed data platform, our teams can investigate compliance and security issues in real-time, trace controls and requirements, surface operational insights, and automate workflows grounded in trusted enterprise data. Developers are also using Snowflake Cortex Code to build and operationalize these capabilities directly within Snowflake, creating a unified layer where AI can move seamlessly from analysis to action. This approach helps us reduce friction across investigations and decision-making, while maintaining the governance, performance, and scalability needed to apply AI responsibly across financial services and commerce." "Carvana manages a highly dynamic operation spanning inventory, logistics, financing, and customer demand," said Alex Devkar, Senior Vice President of Engineering and Analytics, Carvana . "That complexity makes AI most powerful when it can work securely with governed enterprise data inside the systems our teams already use. By combining Claude with Snowflake, we can move faster, apply AI more effectively, and maintain the controls required to operate at scale." "Our work with Snowflake and Anthropic brings together leading AI capabilities with a governed data foundation, enabling organizations to embed intelligence directly into their core business processes," said Jason Salzetti, Chair and CEO, Deloitte Consulting LLP . "Deloitte plays a critical role in helping clients design, build, and scale these solutions, accelerating time to value while supporting the alignment of AI to enterprise standards for risk, compliance, and performance. This collaboration is helping our joint clients turn AI ambition into measurable business outcomes." "As cyber threats become more sophisticated and move at machine speed, organizations need AI that can reason deeply while operating within a secure, governed data environment," said Dustin Hillard, CPTO, eSentire . "By leveraging Claude within Snowflake's trusted environment, we're able to power AI-led threat investigations that autonomously handle Tier 1 analysis, freeing our SOC analysts to focus on complex threats with greater speed and precision. This approach gives our customers the transparency, governance, and operational scale required to confidently deploy AI in mission-critical cybersecurity workflows." "At Indeed, our mission is to help people get jobs. We use intelligent, AI-driven solutions to make the hiring process seamless and efficient for everyone," Trey Henninger, VP Data and Analytics, Indeed . "Harnessing Anthropic Claude within Snowflake's trusted AI Data Cloud allows us to make our data interactable for all Indeed employees. This shift to self-service analytics means we move from data to insights much faster, ultimately improving the hiring process with personalized experiences for job seekers and sophisticated, data-driven tools for employers." "Notion is defining how AI and enterprise data come together in the modern workspace, bringing intelligence directly into the flow of everyday work," said Ravi Menon, Head of Data, Notion . "By integrating models like Claude with Snowflake's governed data platform, we're giving teams the ability to generate content, synthesize knowledge, and access real time business insights all in one place. We've created agents like Data Scout that pull directly from Snowflake, helping customers move from question to insight to action without friction. The result is a more powerful and trusted experience, where AI is grounded in secure, reliable data and teams can make faster, more confident decisions." Snowflake and Anthropic Co-Innovate to Bring Governed AI to the Enterprise Snowflake and Anthropic are partnering closely to help enterprises build AI that is powerful, secure, and deeply grounded in their business context. The two companies have rapidly expanded their co-innovation, working in lockstep to bring advanced AI capabilities into production for enterprise customers. This deep collaboration reflects a shared commitment to making AI practical, governed, and scalable for real business use cases. Key areas of innovation include: * Apply advanced AI to governed enterprise data: Snowflake brings Anthropic Claude models into Cortex AI so customers can use frontier reasoning across all data types while maintaining Snowflake governance and security controls. * Empower knowledge workers to turn data into action: Snowflake Intelligence , the personal agent that helps you work smarter, is powered by industry-leading models like Claude to enable natural language queries, reasoning across enterprise data, and helps turn insights into action. By combining deep business context with trusted governance and frontier AI models, Snowflake Intelligence helps teams move beyond static dashboards to uncover the "why" and accelerate faster, more confident decision-making. * Accelerate developer productivity on enterprise data workloads: Snowflake Cortex Code , the coding agent where you build faster, which has become Snowflake's fastest-growing product ever with more than 7,100 users, is also powered by leading models like Claude. It is purpose-built for Snowflake schemas, data apps, and workflows. It translates a single prompt into production ready pipelines and apps, making it ideal for enterprises managing complex data and governance in Snowflake. Enterprises already using Claude Code for software, API, and app development can securely bring governed Snowflake data into their development workflows through the Cortex Code plugin for Claude Code . * Build production-ready AI agents on trusted data: Cortex Agents , Snowflake's framework for building enterprise AI agents, enables customers to build agents that retrieve, reason over, and act on governed enterprise data, with Claude supporting a range of use cases including customer support automation, data analysis, and core operations. * Simplify how enterprises engage and scale AI investments: As one of six launch partners in the Claude Marketplace , Snowflake is working with Anthropic to simplify procurement and unlock joint commercial models, enabling customers to apply existing Anthropic commitments toward Snowflake AI capabilities and consolidate their AI spend. * Strengthen security and responsible AI deployment: Snowflake and Anthropic share a commitment to enterprise-grade security, governance, and responsible AI, including collaboration on emerging Claude Code Security capabilities that help organizations identify, assess, and remediate vulnerabilities with built-in human oversight. Learn More: * Get started with Anthropic and Snowflake in this quickstart . * Check out all the innovations and announcements coming out of Snowflake Summit 26 on Snowflake's Newsroom . * Stay on top of the latest news and announcements from Snowflake on LinkedIn and X , and follow along at #SnowflakeSummit. About Snowflake Snowflake is the platform for the AI era, making it easy for enterprises to innovate faster and get more value from data. More than 13,900 customers around the globe, including hundreds of the world's largest companies, use Snowflake's AI Data Cloud to build, use and share data, applications and AI. With Snowflake, data and AI are transformative for everyone. Learn more at snowflake.com (NYSE: SNOW). Forward‑Looking Statements This press release contains express and implied forward-looking statements, including statements regarding (i) our future operating results, targets, or financial position; (ii) our business strategy, plans, opportunities, or priorities; (iii) the release, adoption, and use of our new or enhanced products, services, and technology offerings, including those that are under development or not generally available; (iv) market size and growth, trends, and competitive considerations; (v) our vision, strategy and expected benefits relating to artificial intelligence (AI), the enterprise AI revolution, Snowflake Cortex AI, Snowpark, Snowflake Marketplace, the AI Data Cloud, and AI Data Clouds for specific industries or product categories, including the expected benefits and network effects of the AI Data Cloud; and (vi) the integration, interoperability, and availability of our products, services, and technology offerings with and on third-party products and platforms, including public cloud platforms and AI models. These forward-looking statements are subject to a number of risks, uncertainties and assumptions, including those described under the heading "Risk Factors" and elsewhere in the Quarterly Reports on Form 10-Q and the Annual Reports on Form 10-K that Snowflake files with the Securities and Exchange Commission. In light of these risks, uncertainties, and assumptions, actual results could differ materially and adversely from those anticipated or implied in the forward-looking statements. As a result, you should not rely on any forward-looking statements as predictions of future events. © 2026 Snowflake Inc. All rights reserved. Snowflake, the Snowflake logo, and all other Snowflake product, feature and service names mentioned herein are registered trademarks or trademarks of Snowflake Inc. in the United States and other countries. All other brand names or logos mentioned or used herein are for identification purposes only and may be the trademarks of their respective holder(s). Snowflake may not be associated with, or be sponsored or endorsed by, any such holder(s). View source version on businesswire.com: https://www.businesswire.com/news/home/20260601623088/en/
Anthropic offers EU access to Mythos AI model for cyber security
The most powerful AI vulnerability scanner ever built is locked behind a velvet rope, and Europe is still waiting outside. Anthropic has put its most advanced AI model on the table for the European Union, but getting a seat at that table is proving to be a slow, grinding negotiation. The company's Mythos model, capable of autonomously discovering zero-day vulnerabilities across every major operating system and web browser, remains accessible to only about 40 vetted US companies and select government entities. The EU wants in. Anthropic hasn't said no. But progress, according to Spain's economy minister, has been "limited." What Mythos actually does Anthropic announced the Claude Mythos Preview on April 7, 2026. In internal testing, the model discovered thousands of zero-day vulnerabilities, the kind of software flaws that vendors don't know about and therefore can't patch, across all major operating systems and web browsers. Mythos doesn't just flag vulnerabilities. It autonomously generates working exploits, meaning it can demonstrate exactly how an attacker would use each flaw. On industry benchmarks like Cybench, the model surpasses every prior AI system at conducting complex, multi-step cyber-attack simulations. That dual capability, defense and offense in a single package, is precisely why Anthropic chose to restrict access. The company launched Project Glasswing to manage distribution, limiting the model to roughly 40 vetted US companies and chosen government entities. The EU negotiation European officials have been trying to secure access to Mythos for their own cybersecurity apparatus. As of May 22, 2026, Spain's economy minister characterized the progress in EU-Anthropic negotiations as "limited." The European Commission planned to send officials to San Francisco in late May 2026 to press for more details on the model and explore terms for access. Meanwhile, OpenAI provided the EU access to its own cyber-focused model, GPT-5.5-Cyber. The UK's AI Safety Institute has been evaluating Mythos separately, suggesting that Britain's post-Brexit positioning may be giving it a faster track to access than the broader EU bloc. What this means for investors Crypto exchanges, custodians, and DeFi protocols are among the most targeted digital infrastructure in the world. The roughly 40 US companies in the Project Glasswing cohort are essentially receiving a head start in AI-augmented cybersecurity. European competitors without equivalent access face a structural disadvantage that could persist for months or longer, depending on how negotiations unfold. The EU has historically been more aggressive than the US in regulating AI through frameworks like the AI Act, with enforcement set for August 2026. The irony of Europe now needing to negotiate for access to American AI capabilities, while simultaneously trying to regulate how those capabilities are deployed, creates a genuine policy tension. The OpenAI-EU arrangement with GPT-5.5-Cyber also signals that competition for institutional AI partnerships is intensifying. Investors should watch whether Anthropic's restrictive approach ultimately strengthens its brand as the "responsible" AI company, or whether it simply cedes market share to rivals willing to distribute more broadly.
Why It Matters if OpenAI or Anthropic Wins the IPO Race | Mint
Summary There is much to gain for the company that moves faster. In the bitter rivalry between AI heavyweights OpenAI and Anthropic, it will mostly be who has the best technology that determines the ultimate victor. But which one of them gets to its public offering first matters a great deal, too. The window for initial public offerings is decidedly open, with a receptive market. Cerebras, an AI-chip company, rose 68% on its first day of trading last month. Only digital-design platform Figma's absurd 250% rise last year was bigger for a company valued at more than $10 billion at listing in the past five years, according to FactSet data. Elon Musk's SpaceX plans to follow up this summer in what may well be the largest IPO in history -- with a targeted valuation of $1.5 trillion. That will add more heat to the IPO cauldron. This is all the more reason for OpenAI and Anthropic to try to be the first big artificial-intelligence-model developer to go public. There are some clear advantages to being first out of the gate. Just as importantly, there are major disadvantages in being second. Academic research has shown that IPOs tend to come in industry clusters, and that companies listing later in a cycle don't tend to perform as well. That stands to reason, given that higher-quality companies with deeper moats tend to go public early, triggering a barrage of followers that might not be as strong. And even in a hot market, there isn't an infinite amount of money to go around. Investors may rotate out of other stocks to pile into SpaceX, then do more reshuffling to make bets on OpenAI and Anthropic later this year or next. The one that goes first is likely to gobble up more of the increasingly scarce capital. And both OpenAI and Anthropic are looking for sky-high valuations. Anthropic raised money recently at a valuation approaching $1 trillion. OpenAI was last valued in March at $852 billion. "There's only so much oxygen in the room," said Patrick Healy, founder of Issuer Network, which advises companies going public on leading U.S. exchanges. "SpaceX is going to consume an absolute ton of capital, and the guy that goes second is going to have a better position than the guy that goes third." For the better-run company -- in this case Anthropic, headed by Dario Amodei -- the cost of waiting may be especially large. A lukewarm market reception for an early OpenAI listing, which seems plausible given the steady drumbeat of dysfunction at the Sam Altman-led company, could force Anthropic to delay or scale back. That is just what happened in 2019, when ride-hailing rivals Lyft and Uber Technologies went public. Lyft, the smaller of the two, was first out of the gate with an IPO that didn't live up to its hype. A post-IPO decline in the stock directly affected Uber's listing two months later. Uber cut its target valuation, but its shares still fell after its debut, even in a market where other tech listings had been doing well. Going first isn't risk-free either, of course. The first to list risks that the market takes time to reflect its value, given that it is in a nascent industry without much of a track record. That has happened with tech listings in the past. Facebook's stock lost more than half its value in its first three months of trading in 2012 amid worry about whether it could adapt to a shift toward mobile-phone ads. It later went on a sustained upward run as the company showed its resilience and investors grew more comfortable with its business model. But other companies that had been itching to list -- notably Twitter -- ended up having to wait. Importantly though, even when the market's initial verdict is negative, Facebook and other early IPO movers got to reap the benefits of being public as they waited for their shares to recover. This includes whatever money is raised from the IPO, and keeping employees happy by allowing them to cash out. Those factors add urgency to OpenAI and Anthropic's IPOs, both of which could come this year. OpenAI has been working with bankers to file initial IPO paperwork and could do so shortly. Anthropic's timeline is less clear. Which gets there first -- and how markets react to it -- could help shape the future of the two companies and the next phase of the AI boom, either underlining the market's confidence in AI's transformative power or delivering a warning about its excesses. The stakes are high indeed.
The Phrase Elon Musk Slipped Into SpaceX's IPO Documents That Sounds Like Science Fiction
Let me tell you what corporate IPO filings usually sound like: risk factors, addressable markets, operating segments. Recently I opened SpaceX's pre-IPO disclosures and found a sentence that stopped me cold. It reads less like investor boilerplate and more like the opening crawl of a Christopher Nolan film. Buried inside the IPO paperwork is this line: "We believe the next paradigm shift for humanity is the creation of a resilient, perpetually expanding spacefaring civilization that drives continuous innovation across new frontiers, ultimately propelling us to Kardashev Type II status." A publicly filed document, the kind lawyers usually scrub of anything resembling poetry, is telling prospective shareholders the goal is Kardashev Type II. I know... I know... stick with me here. What Kardashev Type II Actually Means The Kardashev scale, proposed by Soviet astronomer Nikolai Kardashev in 1964, ranks civilizations by how much energy they can harness. Type I uses all the energy available on its home planet. Type II captures the full energy output of its parent star, typically via something like a Dyson sphere. Type III taps an entire galaxy. We are not yet Type I. SpaceX defines the term right in the document: "a civilization that harnesses the full energy output of our Sun." The company notes that the Sun contains approximately 99.8% of the solar system's energy, framing space-based solar as the only scalable answer to AI's appetite for power. The Mars Sentence The Kardashev line pairs with an even more direct one. The company writes openly about "establishing a civilization on Mars." Establishing, as in building a permanent human presence. The disclosures argue that confining humanity to one planet "constitutes a single point of failure and carries existential risk with a probability of one that must be solved." Don't wait: the analyst who called NVIDIA in 2010 just revealed his top 10 AI stocks. See the full list FREE now. Then comes the line that ties the business case together: "We do not want humans to have the same fate as dinosaurs." I have never seen that sentence in IPO paperwork before. How the Lunar Economy Plugs In The connective tissue is the Moon. SpaceX argues a lunar presence will enable "terawatt-scale annual AI compute growth" and act as "a stepping stone to establishing a civilization on Mars." The pitch: lunar factories make AI compute satellites, those satellites drink solar energy in orbit, and the whole stack pushes the species toward Type II.
The Phrase Elon Musk Slipped Into SpaceX's IPO Documents That Sounds Like Science Fiction
Let me tell you what corporate IPO filings usually sound like: risk factors, addressable markets, operating segments. Recently I opened SpaceX's pre-IPO disclosures and found a sentence that stopped me cold. It reads less like investor boilerplate and more like the opening crawl of a Christopher Nolan film. Buried inside the IPO paperwork is this line: "We believe the next paradigm shift for humanity is the creation of a resilient, perpetually expanding spacefaring civilization that drives continuous innovation across new frontiers, ultimately propelling us to Kardashev Type II status." A publicly filed document, the kind lawyers usually scrub of anything resembling poetry, is telling prospective shareholders the goal is Kardashev Type II. I know... I know... stick with me here. What Kardashev Type II Actually Means The Kardashev scale, proposed by Soviet astronomer Nikolai Kardashev in 1964, ranks civilizations by how much energy they can harness. Type I uses all the energy available on its home planet. Type II captures the full energy output of its parent star, typically via something like a Dyson sphere. Type III taps an entire galaxy. We are not yet Type I. SpaceX defines the term right in the document: "a civilization that harnesses the full energy output of our Sun." The company notes that the Sun contains approximately 99.8% of the solar system's energy, framing space-based solar as the only scalable answer to AI's appetite for power. The Mars Sentence The Kardashev line pairs with an even more direct one. The company writes openly about "establishing a civilization on Mars." Establishing, as in building a permanent human presence. The disclosures argue that confining humanity to one planet "constitutes a single point of failure and carries existential risk with a probability of one that must be solved." Then comes the line that ties the business case together: "We do not want humans to have the same fate as dinosaurs." I have never seen that sentence in IPO paperwork before. How the Lunar Economy Plugs In The connective tissue is the Moon. SpaceX argues a lunar presence will enable "terawatt-scale annual AI compute growth" and act as "a stepping stone to establishing a civilization on Mars." The pitch: lunar factories make AI compute satellites, those satellites drink solar energy in orbit, and the whole stack pushes the species toward Type II. The company even floats a "petawatt-scale AI constellation" built using lunar satellite production and a lunar mass driver. Why It Matters to Investors SpaceX is putting the science fiction right on the cover. The framing is "unlocking an era of unprecedented economic expansion, while also contributing to the safeguards of humanity's future against existential risk." The company concedes these initiatives involve "unproven technologies or technologies that do not exist" and may never reach commercial viability. Here is the test for anyone considering the offering when it prices: you are buying a thesis that the species needs a second planet and a star-scale energy budget, and that one company can deliver both. That sentence about dinosaurs is the prospectus. Everything else is footnotes.
Reports of a Future SpaceX-Tesla Merger Are Picking Up Steam. But Is Such a Complex Deal Actually Feasible?
As if SpaceX going public at a potentially $2 trillion valuation in what could be the largest initial public offering (IPO) ever isn't enough to excite investors, recent reports suggest that SpaceX and Tesla (TSLA 1.40%) could also eventually merge. There is clearly a connection between the two companies, given that both are controlled by Elon Musk and both are partially focused on artificial intelligence (AI). On Kalshi, over half of the people betting on a merger (as of May 27) predict it will go through before May 1, 2027. However, given the size of both companies and the fact that they also operate some different businesses, any potential deal between SpaceX and Tesla could be complex. Is a merger between these two Musk-founded juggernauts actually feasible? Why a SpaceX-Tesla merger could make sense Speculation surrounding a SpaceX-Tesla tie-up has been picking up steam. CNBC spoke to a Tesla employee, who asked to remain anonymous, who said many workers expect a merger to occur and that it is discussed regularly within the company. While Tesla focuses on electric vehicles, autonomous driving, and humanoid robots, and SpaceX is focusing on space voyages and its Starlink satellite internet service, AI is increasingly at the forefront. SpaceX recently acquired another Musk-founded company, xAI, the owner of Grok, and several investors think it will pursue sovereign AI, meaning it would control the full AI stack from data centers to chips to intelligence. Tesla's autonomous driving and humanoid robots are both examples of generative AI. "Tesla has to run powerful AI systems inside a moving vehicle with tight limits on power, cooling, latency, reliability and cost," Tomasz Tunguz, a venture capitalist at Theory Ventures, told CNBC. "SpaceX has to think about compute in orbit, where radiation, thermal cycling, launch mass, power generation and heat rejection all become existential design constraints." Wedbush analyst Dan Ives also sees a merger happening next year, as Tesla already owns a stake in SpaceX and the two companies jointly own a terafab facility. In SpaceX's registration statement, the company wrote that it and Tesla have "developed the early foundation of a strong and constructive partnership through a series of limited but successful commercial engagements." Would a merger actually be feasible? This is the big question in my mind. Tesla has a market cap of roughly $1.4 trillion, while SpaceX is aiming for a $2 trillion valuation. There are many questions about the deal structure. Even if it is a merger of equals, Musk would still have to determine who is the technical acquirer. Funding the acquisition would also be quite difficult. At the end of the first quarter of 2026, Tesla had close to $45 billion of cash, while SpaceX only had about $16.6 billion, although the company could be about to raise $75 billion to $80 billion in the IPO. So, the deal would require the technical acquirer to either raise substantial debt or issue shares, resulting in significant dilution. Additionally, while Musk controls 85% of SpaceX's voting power, his control in Tesla is only 20%. Musk undoubtedly wields tremendous sway at Tesla, but has previously faced pushback from the board of directors, so it's not a given that the board would approve such a transaction. There's also the question of how investors would value the merged company if such a deal were to go through. Mergers of equals are difficult to pull off, and the market always carries a healthy dose of skepticism regarding the synergies these deals can achieve. Earlier this year, Gary Black of The Future Fund said that a SpaceX-Tesla merger would likely end poorly. Black assumed Tesla would be the acquirer and issue $1.5 trillion in equity to buy SpaceX, reducing the combined valuation from $3 trillion to $2.25 trillion due to dilution. Black also pointed out that mergers like this often receive lower multiples and rarely a blended premium multiple from the market. He also noted that Tesla's new exposure to space and the satellite business might turn off some existing investors. Black definitely makes some good points here, and investors should pay attention. While the idea of a SpaceX-Tesla merger will excite most, the devil is in the details.
Anthropic offers EU access to Mythos AI model for cybersecurity through Project Glasswing
The deal would make ENISA the first EU agency to access a model capable of autonomously uncovering thousands of software vulnerabilities, including zero-day threats. Anthropic is opening the door for Europe's cybersecurity agency to use what may be the most powerful vulnerability-hunting AI tool ever built. The company will onboard ENISA, the EU's cybersecurity agency, into Project Glasswing, granting access to its Claude Mythos Preview model. It's the first time an EU agency has gained access to an AI system of this caliber before a broader rollout. And the timing is anything but coincidental. What Mythos actually does Claude Mythos Preview, announced in early April 2026, isn't your standard large language model with a security plugin bolted on. The system can autonomously identify nearly 10,000 severe software vulnerabilities and execute complex attack simulations that would traditionally require teams of human security researchers working for months. That capability is precisely why Anthropic has kept the model on an extremely short leash. Access has been limited to vetted US-based organizations and select international partners, including Amazon, Apple, Microsoft, and JPMorgan Chase. And that concern isn't theoretical. In April 2026, reports surfaced of unauthorized access claims tied to a third-party vendor, prompting a formal investigation by Anthropic. How the EU deal came together The negotiations between the European Commission and Anthropic have been substantial. As of May 11, 2026, the two sides had held four to five meetings to hammer out the terms of access. Those talks started shortly after Mythos was announced in April and have been running in parallel with a separate, competing offer. OpenAI revealed its own cybersecurity-focused AI model offering on May 11, 2026, aimed at the same kind of institutional clients. European firms and financial institutions have been vocal about their concerns over competitive disadvantages. If US companies and agencies get access to these tools months or years before their European counterparts, the security gap widens in ways that matter for everything from critical infrastructure to financial services. Why the crypto market should be paying attention Mythos's capabilities extend well beyond finding bugs in traditional software stacks. The model can identify vulnerabilities in DeFi infrastructure that go far deeper than the smart contract exploits that have dominated headlines for the past few years, including protocol-level weaknesses, bridge vulnerabilities, and systemic risks in composable DeFi architectures.
Is Redwire Stock a Buy Ahead of the SpaceX IPO?
SpaceX is set to make its public market debut in June and is likely to be the largest initial public offering (IPO) on record. As the company gears up to go public, investors are beginning to pay more attention to space stocks, and for good reason. According to McKinsey, the global space economy could reach $1.8 trillion by 2035. Space is becoming an increasingly important element of national security, and the U.S. is investing heavily in its development, procuring satellites, autonomous systems, spacecraft, sensors, and other key space components. Redwire (NYSE: RDW) is one space company that provides crucial infrastructure and technology to help make this possible. Is the stock a buy ahead of the SpaceX IPO? Will AI create the world's first trillionaire? Our team just released a report on the one little-known company, called an "Indispensable Monopoly" providing the critical technology Nvidia and Intel both need. Continue " Redwire plays a key role in defense and the growing space industry Redwire operates two distinct segments: a space segment and a defense technology segment. In its space segment, Redwire develops hardware and technology for space infrastructure, including building blocks for spacecraft, like solar panels, robotic arms, and other parts, along with parts that support massive satellite constellations. When NASA's Artemis II mission took flight earlier this year, Redwire's optical imaging and sun sensor technologies were tools utilized on the Orion spacecraft. In its defense technology segment, Redwire builds highly advanced military drones (uncrewed aerial systems) that can fly autonomously, have been combat-tested, and can operate in highly contested, GPS-denied environments. For example, Redwire has delivered hundreds of its Penguin drones directly to the Ukrainian military for use in real-world combat operations. Image source: Getty Images. The company is a major provider and has customers that include the U.S. government, including NASA, the U.S. Army, the Marine Corps, and the Department of Homeland Security. But it also provides components for top aerospace and defense companies, including Lockheed Martin, Boeing, Airbus, and Blue Origin. In April, the U.S. Space Force's Space Systems Command selected Redwire as one of 14 companies to compete under this $1.8 billion contract program to design and build advanced space surveillance and reconnaissance satellites. Earlier this year, it was awarded a multi-award contract for the Missile Defense Agency's Scalable Homeland Innovative Enterprise Layered Defense (SHIELD) IDIQ. Is Redwire a buy? Redwire's backlog is up to $498 million, and analysts expect 40% revenue growth in 2026 and another 20% in 2027. That said, the business is currently losing money, and analysts don't forecast profitability within the next three years. RDW Revenue (TTM) data by YCharts Redwire is an early-stage company that has secured several key government contract wins, and as a result, the stock has surged 198% year to date. Given the stock's recent surge and lack of near-term profitability, Redwire is best left for aggressive investors with a long-term outlook and willing to stomach sizable price swings. Should you buy stock in Redwire right now? Before you buy stock in Redwire, consider this: The Motley Fool Stock Advisor analyst team just identified what they believe are the 10 best stocks for investors to buy now... and Redwire wasn't one of them. The 10 stocks that made the cut could produce monster returns in the coming years. Consider when Netflix made this list on December 17, 2004... if you invested $1,000 at the time of our recommendation, you'd have $463,900!* Or when Nvidia made this list on April 15, 2005... if you invested $1,000 at the time of our recommendation, you'd have $1,294,401!* Now, it's worth noting Stock Advisor's total average return is 978% -- a market-crushing outperformance compared to 211% for the S&P 500. Don't miss the latest top 10 list, available with Stock Advisor, and join an investing community built by individual investors for individual investors. See the 10 stocks " *Stock Advisor returns as of June 1, 2026. Courtney Carlsen has no position in any of the stocks mentioned. The Motley Fool has positions in and recommends Boeing and Redwire. The Motley Fool recommends Lockheed Martin. The Motley Fool has a disclosure policy. The views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.
'Big Short' investor Michael Burry says neither SpaceX nor Anthropic is worth $1 trillion
* Michael Burry took aim at SpaceX and Anthropic's valuations on his Substack. * The "Big Short" investor said SpaceX's IPO filing doesn't support a $1 or $2 trillion price tag. * Burry said Claude-maker Anthropic might never be worth $1 trillion as he expects demand to cool. Michael Burry says he has major doubts about SpaceX and Anthropic's lofty valuations. In recent discussion threads on his Substack, the investor of "The Big Short" fame questioned the worth of Elon Musk's rocket, satellite, and AI company, and the maker of popular AI model Claude. "Any move up will be on hype and technicals," Burry wrote about SpaceX stock in a subscriber chat he started on Saturday. "Nothing in that S-1 suggests it is worth $1 trillion let alone $2 trillion." SpaceX filed an IPO prospectus known as an S-1 on May 20, revealing that last year it made $18.7 billion in revenue and posted a net loss of $4.9 billion. It is widely reported to be targeting a valuation of roughly $2 trillion as a public company. Anthropic announced last Thursday that it had raised capital at a $965 billion valuation, paving the way for a public listing at an even higher valuation. Reacting to the news, Burry said in a subscriber chat that he's skeptical the AI startup will ever warrant that price tag. "There is no guarantee, and not even a strong likelihood, that Anthropic is long-term worth anywhere near $1 trillion," he wrote. Burry added that Anthropic's business of developing cutting-edge AI models is "far too expensive, too much brute force," as over time, he expects computing power "will be commoditized, like internet use." "What is happening now is a false demand signal," he wrote, echoing his recent warning that the "tokenmaxxing" trend won't last. The frantic rush to secure computing power to run AI models is "driving buildout and orders that will be too much for what is needed a few years down the road," he added. Burry quipped that before paying $1 trillion for Anthropic, he would count to 1 trillion, and "in 240,000 years I might reconsider." SpaceX and Anthropic didn't immediately respond to requests for comment from Business Insider. Burry shot to fame after his prescient bet against the mid-2000s housing bubble was chronicled in the book and movie "The Big Short." Known for issuing grave predictions about crashes and recessions, he pivoted from running a hedge fund to writing about his personal investments on Substack late last year. Read the original article on Business Insider The post 'Big Short' investor Michael Burry says neither SpaceX nor Anthropic is worth $1 trillion appeared first on Business Insider.
UAE ups pre-IPO stake in Anthropic
Abu Dhabi's MGX backed Anthropic's $65 billion fundraise, further strengthening its position in the Claude developer. MGX, launched in 2024 by Abu Dhabi AI conglomerate G42 and sovereign wealth fund Mubadala, and chaired by UAE National Security Adviser Sheikh Tahnoon bin Zayed, owns stakes in three frontier model frontrunners: Anthropic, OpenAI, and xAI. All three are expected to go public this year (xAI as part of its parent company SpaceX), making the UAE the Gulf state with the greatest private-market exposure to the AI race. Qatar's QIA has invested in both Anthropic and xAI, while Saudi Arabia's PIF-backed HUMAIN is also a recent backer of xAI. Anthropic initially ruled out taking the region's money on national security and moral grounds, only to backtrack. The latest funding round gives it a $965 billion valuation, above that of its rivals. Anthropic has blown past growth expectations while spending at least $1.25 billion a month on compute in "a very delicate dance" between growing too fast and going bankrupt, as one investor told Semafor's Reed Albergotti.
SpaceX reveals more trillion-dollar IPO details -- Special share program for insiders By Investing.com
Investing.com -- SpaceX will reserve up to 5% of shares in its upcoming initial public offering for certain employees and friends and family of its executive officers, the company disclosed in an amended filing. The amount of Class A stock the company is setting aside for its directed share program is newly specified in an updated prospectus filed Monday. Space Exploration Technologies Corp. already had disclosed last month that participants on its so-called friends and family list will not be subject to a lock-up restriction. SpaceX is currently targeting a valuation of at least $1.8 trillion in the IPO, according to several media reports. Bloomberg previously reported in April that the company was aiming for a valuation above $2 trillion. The U.S. Space Force said Friday it has awarded SpaceX a $4.16 billion deal for a program designed to sense and track airborne targets from space. The Space-Based Advanced Moving Target Indicator is designed as an interconnected system-of-systems, combining space-based sensors, secure communications links and ground processing to drive closer cooperation across the government space industrial base.
SpaceX targets $1.8T IPO valuation with insider shares, no lock-up restrictions
## Market Snapshot SpaceX IPO Closing Market Cap Above Thresholds is priced at 99% YES for the $1T threshold and 89.5% YES for the $1.8T threshold. The market has shown slight fluctuations, with a recent 2-point drop in the $1.8T sub-market. ## Key Takeaways - Markets suggest a high likelihood that SpaceX's IPO will exceed a $1 trillion market cap, consistent with a YES outcome. - The $1.8 trillion valuation target is increasingly supportive of scenarios where SpaceX reaches or surpasses that threshold. - Insider allocation without lock-up may indicate confidence in the IPO's expected success, influencing market pricing. ## Article Body SpaceX plans to allocate up to 5% of its IPO shares to insiders without any lock-up restrictions, aiming for a valuation of at least $1.8 trillion. This move suggests a significant public offering, with the absence of a lock-up period potentially allowing insiders to sell shares immediately, a sign of anticipated liquidity. The allocation strategy highlights SpaceX's confidence in its market appeal, reflecting its growth trajectory in aerospace and communications. With the company's involvement in government contracts, a substantial valuation target aligns with its strategic role in space exploration and technology sectors. ## Market Interpretation The announcement appears to strongly impact the market, with a high likelihood consistent with exceeding the $1 trillion market cap threshold. The $1.8 trillion target further supports a YES outcome for higher valuation brackets, reflecting a high-impact scenario. Market participants seem to interpret the insider share allocation as a positive indicator of the IPO's potential success. ## What to Watch Observers should monitor upcoming filings with the SEC for final valuation figures and any changes in IPO timing. Statements from SpaceX executives, particularly Elon Musk, could influence market expectations. Any reports on investor sentiment or changes in market conditions might also affect pricing dynamics ahead of the IPO. Get prediction market intelligence as a structured API feed. Early access waitlist.
SpaceX needs to get to $5 quadrillion to rival mag seven magic
Upcoming trillion-dollar IPOs from SpaceX, OpenAI, and Anthropic are set to redefine market valuations, asking investors to wager heavily on uncertain futures. These companies are bypassing the traditional path of public markets, potentially capturing future growth for private investors at the expense of public shareholders. It's not often that investors encounter something truly new in markets. But they will soon when Space Exploration Technologies Corp., OpenAI and Anthropic PBC go public with trillion-dollar valuations, or close to it. No company listed in the US has ever come to market so extravagantly priced -- by a long shot. All three are undeniably groundbreaking businesses with mindboggling potential in transformative fields. Companies with that profile typically demand a big down payment from investors for future growth. But these initial public offerings put that proposition on steroids -- never have investors been asked to wager so much on an uncertain future. From these valuations, it's hard to imagine the three debutantes delivering a post-IPO payoff anywhere near what publicly traded technology giants have produced in recent decades. The math is laughable, in fact. Median market capitalization at IPO for the Magnificent Seven was $1.2 billion. Their median market cap is now $3.1 trillion, more than a 2,500-fold increase. For SpaceX to achieve comparable growth from a $1.8 trillion starting valuation, it would have to approach a value of $5 quadrillion. Companies are not supposed to show up on exchanges already the world's most valuable businesses. New ventures raise money privately when they're small and speculative, but established businesses have almost always turned to public markets when they needed sizable capital for growth. Everyone wins: Venture investors offload their shares to cash in on their early support, and new investors participate in potentially even bigger gains ahead. That's the story of practically every public company trading today, including tech behemoths Microsoft Corp., Amazon.com Inc. and Nvidia Corp. That model has been upended by private markets awash with capital and capable of feeding practically unlimited cash to the most sought-after businesses. The result is companies staying private longer and coming to market with ever higher valuations. Nvidia was valued at roughly $600 million when it went public in 1999. Five years later, Alphabet Inc. raised the stakes with a $23 billion valuation at IPO. Meta Platforms Inc. raised the bar again to $104 billion in 2012, which seemed like a fortune at the time. That's loose change compared with this year's blockbuster IPOs. I don't blame companies for sidestepping the rigors of public markets when private money is readily available, but it's a disservice to public market investors. By debuting at valuations comparable to Big Tech, much of the value of SpaceX, OpenAI and Anthropic's future growth will be captured by private investors at IPO, at the expense of public shareholders. And that's best case. If expected growth doesn't materialize, these IPOs will be a massive wealth transfer from ordinary investors to private equity -- and a major blow to the appeal of public markets. Here's another way to see these IPOs' huge markup: The Magnificent Seven's median price-to-sales ratio was 15 times at IPO, which is plenty expensive. SpaceX, by comparison, will go public at nearly 100 times sales. For that multiple to shrink closer to the Magnificent Seven's current median P/S ratio of 10 times, SpaceX will have to grow revenue 10-fold to about $200 billion while its market value hangs around waiting for sales to catch up. For perspective, SpaceX is expected to generate about $50 billion in revenue by 2031, based on consensus estimates compiled by Bloomberg, so investors could be waiting a while. OpenAI and Anthropic's registration statements are not yet publicly available, but I expect similarly daunting numbers from them. And that assumes all goes well. It's too soon to know who the AI winners will be. I'm reminded of the early days of the internet, when pioneers such as Netscape and AltaVista were quickly eclipsed and eventually displaced by later entrants. OpenAI and Anthropic dominate AI now, but that can change fast. AI may also be more regulated than the internet given the potential policy implications for jobs, safety and defense, which could slow growth. Governments might impede future advances in AI on grounds that they are too dangerous for public consumption. Regulators can rebalance the IPO playing field and give investors better access to emerging technologies by encouraging companies to go public earlier in their lifecycle. The Securities and Exchange Commission should relax some of the burdens piled on public companies over successive crises, most recently with the Sarbanes-Oxley Act that followed the dot-com bust and the Dodd-Frank Wall Street Reform and Consumer Protection Act in response to the 2008 financial crisis. A good start would be to expand exemptions that already apply to smaller companies and simplify expensive governance certifications. The SEC's move to permit semiannual rather than quarterly reporting by public companies should help. Private companies worth billions of dollars or more should also be subject to the same disclosure requirements as public companies. It would remove much of the incentive to stay private and further the mission of US securities laws. Those rules were first enacted in the 1930s in the wake of the devastating 1929 stock market crash to give investors visibility into the financials of companies raising big money. These investor protections are significantly eroded a century on if trillion-dollar companies can choose to ignore them. For better or worse, millions of people will soon have a stake in SpaceX, OpenAI and Anthropic. All three companies will instantly be among the most valuable US public companies, which means they will be prominent holdings in index funds popular with investors. That's no reason to dump index funds, but there are plenty of reasons to pass on what will certainly be the US's three most hyped IPOs ever.
