News & Updates
The latest news and updates from companies in the WLTH portfolio.
SPACEXAI Grok 4.5 is as Good as Anthropic Opus BUT One-quarter of the COST
Actual usage of SpaceXAI Grok 4.5. First person reports that there are programmers successfully replacing Opus and Sonnet in all of his systems today with Grok 4.5. Grok 4.5 worked great. Spending can drop 50-80%. $200-500 instead of $1000. Grok 4.5 is faster than Opus 4.8. Maybe 2 to 3 times faster. OpenAI GPT 5.6 is coming tomorrow and will be faster but more expensive than Grok 4.5. Grok 4.5 can own the low end of developer usage (pretty, efficient value and good enough). This could send Cursor-SpaceXAI enterprise revenue up from $4 Billion ARR to $8-15 billion ARR in 1-2 months
China warns of 'security backdoor' in Anthropic AI coding tool
BEIJING: A Chinese industry regulator warned users on July 8 of a "security backdoor" embedded in versions of US artificial intelligence (AI) company Anthropic's coding tool, Claude Code. The alleged backdoor could allow the software to "transmit sensitive information", including users' locations and identity-related identifiers, back to Anthropic's servers without users' consent, said China's National Vulnerability Database (NVDB), a cybersecurity platform. Claude Code is an AI coding agent that can generate computer code, debug software and review code based on user prompts. San Francisco startup Anthropic blocks users and companies in China and other nations it deems adversarial from accessing its products, but it is still possible to use them in the country through VPN or third-party proxy services. The NVDB, which is affiliated with China's Ministry of Industry and Information Technology, said on its website it had recently "detected that the AI coding tool Claude Code contains security backdoor risks, posing a severe threat". Anthropic has not responded to AFP requests for comment on the allegations, which first emerged in specialist tech media. The NVDB advised relevant institutions and users "to conduct a comprehensive check immediately" and "promptly uninstall or upgrade to the latest secure version from which the relevant backdoor code has been removed". It also urged organisations to strengthen network traffic monitoring to prevent the unauthorised leakage of sensitive data. Chinese tech giant Alibaba told employees that the use of Claude Code would be banned from July 10 due to security concerns, people familiar with the matter said. Anthropic has previously accused Alibaba of reverse-engineering its AI models to mimic their abilities in a process known as "distillation". Claude Code engineer Thariq Shihipar responded in an X post last week to reports alleging that the tool was tracking certain data from Chinese users. "This is an experiment we launched in March that was meant to prevent account abuse from unauthorised resellers and protect against distillation," Shihipar wrote. "The team has landed stronger mitigations since then and we've actually been meaning to take this down for a while... this should be fully rolled back in tomorrow's (July 2) release." -- AFP
UST Partners with Anthropic to Bring Claude into UST's Platforms, Engineering, and Operations and Train 20,000 UST Employees Globally
Under the strategic alliance, UST will combine Anthropic's Claude models with UST's proprietary industry and horizontal platforms, engineering services, domain solutions, and internal operations, helping clients modernize and transform core systems and operationalize trusted AI at scale. MELBOURNE, Australia, July 9, 2026 /PRNewswire/ -- UST, a leading AI and technology transformation solutions company, today announced a strategic alliance with Anthropic, the AI safety and research company behind the Claude family of models. The partnership is focused on helping Global 1000 enterprises become AI-native. UST will embed Claude into the engineering environments and operational workflows it designs, builds, and runs for clients - helping organizations move from isolated AI pilots to trusted, enterprise-scale AI embedded in the systems that drive their business. The alliance combines Claude models with UST's implementation, engineering, and domain expertise, enabling customers to adopt Claude more quickly and responsibly within existing enterprise environments. Rooted in a shared commitment to responsible AI, the alliance strengthens UST's position as a Global Premier Partner in the Claude Partner Network Services Tier and expands UST's ability to help organizations move from experimentation to trusted, large-scale deployment. By combining Claude models with UST's engineering expertise, deep industry knowledge, and global delivery model, customers can adopt Claude with greater confidence across complex enterprise environments. Claude for Physical AI: Enhancing UST's Engineering Platforms UST is integrating Claude into the engineering platforms that semiconductor, automotive, manufacturing, telecom, embedded, and IoT companies use for design verification, semiconductor validation, factory operations, and field service. This will enable teams to catch design flaws earlier, speed up chip validation, and integrate hardware and software into a single system from the factory floor to the field. These processes are foundational to physical AI, moving intelligence off the screen and into the equipment and robotics that run production. UST-iDEC is one of the clearest examples. The platform already changes the economics of hardware and silicon validation, cutting cycle times by 50-70% and compressing standard four-day turnarounds into 48 hours through a closed-loop, agentic validation pipeline. UST is now integrating Claude as the reasoning layer into that pipeline to further extend it. Claude Code reads chip pinouts and hardware schematics natively and writes and runs regression test scripts that engineers previously scripted by hand, while Claude's reasoning models compare live edge data against digital twins to flag firmware regressions and signal-integrity faults. UST is targeting an already-fast validation pipeline that gets even faster, with less manual scripting, earlier fault detection, without adding new tools for engineers. UST Platform solutions accelerated by Claude for Industry and Enterprise Workflows UST will integrate Claude into selected industry platforms and horizontal enterprise platforms. Together, these integrations will give clients a consistent way to apply AI across industry-specific and shared enterprise workflows where accuracy, data protection, compliance, and reliability are critical. Healthcare Payer: UST CarePath uses Claude to streamline member services, care management, and claims workflows, giving care teams a single, real-time view. Claude Code and MCP connectors link the platform directly to claims and care management systems, while an agentic layer routes each recommended action for approval before it reaches a member. The platform will help teams turn healthcare data into clear next steps, improve patient and member engagement, and resolve issues faster while staying within healthcare data governance controls. Telecom: UST IntelliOps will bring Claude into network operations, service assurance, and OSS/BSS modernization. The platform has Claude's reasoning layer wired in to help operators identify service issues, predict RAN failures, and reduce outage duration through approved response workflows and secure system integrations. This gives telecom operators fewer SLA penalties, shorter customer-facing outages, and less time NOC teams spend sorting signal from noise. Banking: Most mid-tier banks still run on core systems built for overnight batch processing, not real-time banking. Every new integration or product change requires months of vendor-dependent work. UST FinX connects legacy banking systems to a single modern, real-time platform built for open banking and API-first integration. Claude drives the platform's AI capabilities, accelerating onboarding, automating document processing, and providing staff with faster access to account and compliance data, all within FinX's built-in governance and audit controls. That's what lets a bank modernize without hiring a bigger compliance team just to keep up. Scaling Claude Across UST's Horizontal Platforms and Industries UST puts Claude to work everywhere clients feel the friction of change. In consulting, teams use Claude to redesign workflows and transformation roadmaps, helping enterprises adopt AI across functions and make change management repeatable rather than a one-off project. In business applications, Claude Code and approved MCP connectors handle configuration by hand, writing integration logic and letting teams describe what they need in plain language. In data and automation, Claude builds pipelines, accelerates analysis, and coordinates end-to-end handoffs between systems that once required manual stitching. In cloud, infrastructure, and security, Claude supports migration planning, writes infrastructure as code, checks it against policy before it ships, and helps teams get to the bottom of an incident faster, all under the same governance running across the alliance. Looking ahead, UST will also bring Claude into its retail, consumer goods, and manufacturing platforms to sharpen merchandising and inventory planning, strengthen digital commerce, and improve supply chain execution. UST's Own Operations, Accelerated by Claude UST already applies AI across its own operations and continues to expand its use of Claude and Claude Cowork. Within UST, deploying these capabilities across contracts, legal, talent, marketing, infrastructure, and finance demonstrates a commitment to innovation and operational excellence. Teams are transforming manual processes into reusable, Claude-native workflows and developing role-specific Claude skills to support key functions. These workflows operate with clear guardrails and human oversight at critical points, ensuring that automation supports accountability and informed judgment alongside speed. The result is more consistent operations and more time for employees to focus on judgment, negotiation, client work, and creative problem-solving. The impact is twofold. Operations run faster and cleaner, and people gain time for decisions, negotiations, and imagination that drive growth. By gaining firsthand experience with the operational, technical, and change management challenges of AI adoption, UST is building the foundation for how it helps customers reimagine their enterprise transformation. That experience is evolving into an operating playbook of tested workflows, governance models, and value frameworks, proven within a complex organization and designed to accelerate time-to-value while managing financial and operational risk. UST commits to training 20,000 developers and industry experts equipped to build with Claude at enterprise scale A core pillar of this alliance is powering UST's transformation into an AI-native company, starting with how UST works internally, not just what it delivers to clients. As part of the alliance, UST plans to certify 20,000 associates worldwide on Claude, across roles from architects and engineers to consultants, industry specialists, and forward-deployed engineers who can sit alongside client teams to think, build, and solve problems every day. This reflects UST's continued emphasis on talent enablement, grounded in its core values of Humility, Humanity, and Integrity, while developing a growing community of AI-native developers, FDE-style practitioners, architects, and industry experts equipped to build with Claude at enterprise scale. UST will build specialized teams to deploy Claude, with support from Anthropic enablement, technical guidance, and certification. "Our alliance with Anthropic reflects UST's unwavering commitment to helping clients navigate the AI landscape with confidence and achieve meaningful business outcomes. By combining the capabilities of Claude with UST's engineering, industry knowledge, and delivery expertise, we are bringing to market industry-specific platforms and digital and engineering solutions that improve productivity, accelerate business outcomes, and help clients operationalize AI-led decisions in a safe and secure environment," said Krishna Sudheendra, Chief Executive Officer, UST. "UST helps the world's banks, telecoms, and manufacturers put new technology to work. They're proving Claude inside their own engineering first, training 20,000 of their own people on it, before bringing it into the systems they build and run for clients," said Paul Smith, Chief Commercial Officer, Anthropic. "We are wiring Claude into how UST designs, builds, and runs solutions across our consulting, platforms, engineering services, and industry offerings. This alliance with Anthropic helps us deliver higher-value outcomes for clients while advancing UST's transformation into an AI-native organization built on trust, human oversight, and long-term impact," said Manu Gopinath, President, UST. About Anthropic Anthropic is an AI safety company that builds reliable, interpretable, and steerable AI systems. Founded as a public benefit corporation, Anthropic develops the Claude family of AI models and products, including Claude Code, Claude Cowork, and Claude Enterprise, used by organizations around the world. For more information, visit anthropic.com About UST Since 1999, UST has worked side by side with the world's best companies to make a powerful impact through transformation. Powered by technology, driven by AI, inspired by people, and led by our purpose, we partner with our clients from design to operation. Our AI-driven digital solutions, proprietary platforms, engineering, R&D, products, and innovation ecosystem turn core challenges into impactful, disruptive business outcomes. With deep industry knowledge and a future-ready mindset, we infuse expertise, innovation, and agility into our clients' organizations-delivering measurable value and positive lasting change for them, their customers, and communities around the world. Together, with 30,000+ employees in 30+ countries, we build for boundless impact-touching billions of lives in the process. Visit us at www.UST.com. Media Contacts, UST: Tinu Cherian Abraham +1 (949) 415-9857 (US) +91-7899045194 (India) Merrick Laravea +1 (949) 416-6212 Neha Misri +44-7341787926 Roshni Das K +91 7736795557 SomSekhar CV +91-9037888244 [email protected] Media Contacts, U.S.: S&C PR +1-646.941.9139 [email protected] Makovsky [email protected] Media Contacts, India: [email protected] Media Contacts, U.K.: FTI Consulting [email protected] Media Contacts, Spain: Noizze Media Carmen Tapia / Ricardo Schell [email protected] / [email protected] Media Contacts, APAC: Lee Kye Vern +65 8508 8387 [email protected]
SpaceXAI's newest AI model Grok 4.5 dramatically undercuts Anthropic and OpenAI on price
SpaceXAI's newest AI model Grok 4.5 dramatically undercuts Anthropic and OpenAI on price Elon Musk's SpaceXAI Corp. has released a new model called Grok 4.5, in what is its first major launch since it went public a few weeks earlier. In a blog post earlier today, the company said Grok 4.5 is designed to be a workhorse that's able to tackle all of the usual tasks that the artificial intelligence industry has been automating for some time already. That includes things like coding, writing emails and presentations, performing office and clerical work, doing research and other kinds of knowledge-based work. None of this sets Grok 4.5 apart, but SpaceXAI said that the difference is that it can do these tasks just as well as its peers at around half the cost, because it has "twice greater token efficiency" than its peers from other frontier model labs. If true, that could be a compelling advantage in a world where the cost of tokens has suddenly become a major issue for heavy AI users. SpaceXAI announced Grok 4.5's release alongside a host of benchmark results that highlight how competitive it is with the leading models of some of its major competitors, and it falls just short of their performance. In a post on the social media platform X, which is owned by SpaceXAI, founder Musk compared Grok 4.5 to Anthropic PBC's Opus, which is a large language model designed to handle intensive reasoning tasks. In a follow up, Musk added that the company's internal assessments show that Grok 4.5 is "roughly comparable" with Opus 4.7 in terms of its performance, but much faster at generating its results. "The combination of capability, faster speed and lower cost is what makes it competitive," he added. Grok 4.5's real calling card, however, appears to be its overall efficiency. The company said it costs around $2 per one million input tokens and $6 per one million output tokens, which makes it far cheaper than its rival's most capable models. In contrast, Opus 4.7 and 4.8 run at $5 per one million input tokens and $25 for one million outputs. Meanwhile, Fable 5, which is Anthropic's best model, costs $10 for inputs and $50 for outputs, based on one million tokens. OpenAI Group PBC, meanwhile, has a tiered pricing structure for different models. Its newest model, GPT-5.6 Sol, is priced at $5 for one million inputs and $30 for one million outputs, while Luna, its low cost version, costs $1 for one million inputs and $6 for one million outputs. This week is proving to be a big one in terms of new AI model launches. Earlier today, OpenAI announced the launch of GPT-5.6 Sol, its most powerful model so far, after being held up by the White House administration due to security concerns. According to OpenAI, GPT-5.6 Sol is its "strongest model yet," but those security concerns mean that it's currently only available to a limited number of customers. OpenAI also announced the launch of GPT-Live today, which is a family of AI models optimized to process spoken instructions.
UST Partners with Anthropic to Bring Claude into UST's Platforms, Engineering, and Operations and Train 20,000 UST Employees Globally
Under the strategic alliance, UST will combine Anthropic's Claude models with UST's proprietary industry and horizontal platforms, engineering services, domain solutions, and internal operations, helping clients modernize and transform core systems and operationalize trusted AI at scale. MELBOURNE, Australia, July 9, 2026 /PRNewswire/ -- UST, a leading AI and technology transformation solutions company, today announced a strategic alliance with Anthropic, the AI safety and research company behind the Claude family of models. The partnership is focused on helping Global 1000 enterprises become AI-native. UST will embed Claude into the engineering environments and operational workflows it designs, builds, and runs for clients - helping organizations move from isolated AI pilots to trusted, enterprise-scale AI embedded in the systems that drive their business. The alliance combines Claude models with UST's implementation, engineering, and domain expertise, enabling customers to adopt Claude more quickly and responsibly within existing enterprise environments. Rooted in a shared commitment to responsible AI, the alliance strengthens UST's position as a Global Premier Partner in the Claude Partner Network Services Tier and expands UST's ability to help organizations move from experimentation to trusted, large-scale deployment. By combining Claude models with UST's engineering expertise, deep industry knowledge, and global delivery model, customers can adopt Claude with greater confidence across complex enterprise environments. Claude for Physical AI: Enhancing UST's Engineering Platforms Get the latest news delivered to your inbox Sign up for The Manila Times newsletters By signing up with an email address, I acknowledge that I have read and agree to the Terms of Service and Privacy Policy. UST is integrating Claude into the engineering platforms that semiconductor, automotive, manufacturing, telecom, embedded, and IoT companies use for design verification, semiconductor validation, factory operations, and field service. This will enable teams to catch design flaws earlier, speed up chip validation, and integrate hardware and software into a single system from the factory floor to the field. These processes are foundational to physical AI, moving intelligence off the screen and into the equipment and robotics that run production. UST-iDEC is one of the clearest examples. The platform already changes the economics of hardware and silicon validation, cutting cycle times by 50-70% and compressing standard four-day turnarounds into 48 hours through a closed-loop, agentic validation pipeline. UST is now integrating Claude as the reasoning layer into that pipeline to further extend it. Claude Code reads chip pinouts and hardware schematics natively and writes and runs regression test scripts that engineers previously scripted by hand, while Claude's reasoning models compare live edge data against digital twins to flag firmware regressions and signal-integrity faults. Advertisement UST is targeting an already-fast validation pipeline that gets even faster, with less manual scripting, earlier fault detection, without adding new tools for engineers. UST Platform solutions accelerated by Claude for Industry and Enterprise Workflows UST will integrate Claude into selected industry platforms and horizontal enterprise platforms. Together, these integrations will give clients a consistent way to apply AI across industry-specific and shared enterprise workflows where accuracy, data protection, compliance, and reliability are critical. Healthcare Payer: UST CarePath uses Claude to streamline member services, care management, and claims workflows, giving care teams a single, real-time view. Claude Code and MCP connectors link the platform directly to claims and care management systems, while an agentic layer routes each recommended action for approval before it reaches a member. The platform will help teams turn healthcare data into clear next steps, improve patient and member engagement, and resolve issues faster while staying within healthcare data governance controls. Advertisement Telecom: UST IntelliOps will bring Claude into network operations, service assurance, and OSS/BSS modernization. The platform has Claude's reasoning layer wired in to help operators identify service issues, predict RAN failures, and reduce outage duration through approved response workflows and secure system integrations. This gives telecom operators fewer SLA penalties, shorter customer-facing outages, and less time NOC teams spend sorting signal from noise. Banking: Most mid-tier banks still run on core systems built for overnight batch processing, not real-time banking. Every new integration or product change requires months of vendor-dependent work. UST FinX connects legacy banking systems to a single modern, real-time platform built for open banking and API-first integration. Claude drives the platform's AI capabilities, accelerating onboarding, automating document processing, and providing staff with faster access to account and compliance data, all within FinX's built-in governance and audit controls. That's what lets a bank modernize without hiring a bigger compliance team just to keep up. Scaling Claude Across UST's Horizontal Platforms and Industries UST puts Claude to work everywhere clients feel the friction of change. In consulting, teams use Claude to redesign workflows and transformation roadmaps, helping enterprises adopt AI across functions and make change management repeatable rather than a one-off project. In business applications, Claude Code and approved MCP connectors handle configuration by hand, writing integration logic and letting teams describe what they need in plain language. In data and automation, Claude builds pipelines, accelerates analysis, and coordinates end-to-end handoffs between systems that once required manual stitching. In cloud, infrastructure, and security, Claude supports migration planning, writes infrastructure as code, checks it against policy before it ships, and helps teams get to the bottom of an incident faster, all under the same governance running across the alliance. Looking ahead, UST will also bring Claude into its retail, consumer goods, and manufacturing platforms to sharpen merchandising and inventory planning, strengthen digital commerce, and improve supply chain execution. Advertisement UST's Own Operations, Accelerated by Claude UST already applies AI across its own operations and continues to expand its use of Claude and Claude Cowork. Within UST, deploying these capabilities across contracts, legal, talent, marketing, infrastructure, and finance demonstrates a commitment to innovation and operational excellence. Teams are transforming manual processes into reusable, Claude-native workflows and developing role-specific Claude skills to support key functions. These workflows operate with clear guardrails and human oversight at critical points, ensuring that automation supports accountability and informed judgment alongside speed. The result is more consistent operations and more time for employees to focus on judgment, negotiation, client work, and creative problem-solving. The impact is twofold. Operations run faster and cleaner, and people gain time for decisions, negotiations, and imagination that drive growth. By gaining firsthand experience with the operational, technical, and change management challenges of AI adoption, UST is building the foundation for how it helps customers reimagine their enterprise transformation. That experience is evolving into an operating playbook of tested workflows, governance models, and value frameworks, proven within a complex organization and designed to accelerate time-to-value while managing financial and operational risk. UST commits to training 20,000 developers and industry experts equipped to build with Claude at enterprise scale Advertisement A core pillar of this alliance is powering UST's transformation into an AI-native company, starting with how UST works internally, not just what it delivers to clients. As part of the alliance, UST plans to certify 20,000 associates worldwide on Claude, across roles from architects and engineers to consultants, industry specialists, and forward-deployed engineers who can sit alongside client teams to think, build, and solve problems every day. This reflects UST's continued emphasis on talent enablement, grounded in its core values of Humility, Humanity, and Integrity, while developing a growing community of AI-native developers, FDE-style practitioners, architects, and industry experts equipped to build with Claude at enterprise scale. UST will build specialized teams to deploy Claude, with support from Anthropic enablement, technical guidance, and certification. "Our alliance with Anthropic reflects UST's unwavering commitment to helping clients navigate the AI landscape with confidence and achieve meaningful business outcomes. By combining the capabilities of Claude with UST's engineering, industry knowledge, and delivery expertise, we are bringing to market industry-specific platforms and digital and engineering solutions that improve productivity, accelerate business outcomes, and help clients operationalize AI-led decisions in a safe and secure environment," said Krishna Sudheendra, Chief Executive Officer, UST. "UST helps the world's banks, telecoms, and manufacturers put new technology to work. They're proving Claude inside their own engineering first, training 20,000 of their own people on it, before bringing it into the systems they build and run for clients," said Paul Smith, Chief Commercial Officer, Anthropic. Advertisement "We are wiring Claude into how UST designs, builds, and runs solutions across our consulting, platforms, engineering services, and industry offerings. This alliance with Anthropic helps us deliver higher-value outcomes for clients while advancing UST's transformation into an AI-native organization built on trust, human oversight, and long-term impact," said Manu Gopinath, President, UST. About Anthropic Anthropic is an AI safety company that builds reliable, interpretable, and steerable AI systems. Founded as a public benefit corporation, Anthropic develops the Claude family of AI models and products, including Claude Code, Claude Cowork, and Claude Enterprise, used by organizations around the world. For more information, visit anthropic.com About UST Advertisement Since 1999, UST has worked side by side with the world's best companies to make a powerful impact through transformation. Powered by technology, driven by AI, inspired by people, and led by our purpose, we partner with our clients from design to operation. Our AI-driven digital solutions, proprietary platforms, engineering, R&D, products, and innovation ecosystem turn core challenges into impactful, disruptive business outcomes. With deep industry knowledge and a future-ready mindset, we infuse expertise, innovation, and agility into our clients' organizations-delivering measurable value and positive lasting change for them, their customers, and communities around the world. Together, with 30,000+ employees in 30+ countries, we build for boundless impact-touching billions of lives in the process. Visit us at www.UST.com. Media Contacts, UST: Tinu Cherian Abraham +1 (949) 415-9857 (US) +91-7899045194 (India) Merrick Laravea +1 (949) 416-6212 Neha Misri +44-7341787926 Roshni Das K +91 7736795557 SomSekhar CV +91-9037888244 [email protected] Media Contacts, U.S.: S&C PR +1-646.941.9139 [email protected] Makovsky [email protected] Media Contacts, India: [email protected] Media Contacts, U.K.: FTI Consulting [email protected] Media Contacts, Spain: Noizze Media Carmen Tapia / Ricardo Schell
Anthropic Brings Claude Cowork to Phones for Max Subscribers
Anthropic launched Claude Cowork on phones, giving users a way to direct its knowledge-work agent from Android and iOS. Cowork debuted as a desktop app earlier this year, and after an expansion in the spring, the company now lets people manage it from a new Cowork tab in the Claude app's sidebar. The update does not automate tasks on the phone itself. Instead, it lets you keep tabs on what Claude is doing on your computer, and it can now run tasks in the background even when the machine is not online. Key Takeaways * Claude Cowork is now available on mobile and web, rolling out first to Max subscribers before reaching other plans in the coming weeks. * Sessions sync across devices, so a task started at a desk can be checked from a phone and picked up later, and Cowork can run scheduled work in the background with no device online. * When a task needs a decision only a person can make, Claude surfaces the question to the phone, and nothing is finalized without review. The design points to how Anthropic wants Cowork seen: less as a coding tool and more as an administrative teammate that runs in the background, moves across devices, and asks for input when a call is yours to make. One example from the company sets Monday client prep for 6 a.m., with Claude working through email threads, transcripts, and recent news, building a briefing document, and leaving a follow-up email drafted but unsent for review over coffee. Human in the Loop Control stays with the user. When Claude reaches a step that needs human judgment, it sends the question to the phone, and the person approves before anything moves forward. "Nothing ships until you've reviewed and approved it," Anthropic said. The company plans to unify Cowork with its chatbot so people can chat with Claude and hand it computer tasks from a single interface, a change that will land first on the web client and desktop app. Projects and artifacts, which group chats and files and let Claude build small apps and games, will come together as well. Where the Value Shows Up Alongside the launch, Anthropic released usage data that reframes what the tool is for. In a sample of 1.2 million Cowork sessions across more than 600,000 organizations, software development accounted for just 8.7% of use. The largest category, at 33.4%, was business process work such as pulling scattered updates into a report or reconciling spreadsheets, followed by content creation and copywriting at 16.4%. Anthropic describes these as the work around the work, the connective tasks that keep a business running but rarely define a single role. The move fits a broader race to push AI agents beyond chat into the surfaces where work happens. Anthropic's Cowork already shaped Microsoft's own Copilot Cowork, which runs Claude in Microsoft's cloud, and the company has been packaging pre-built agents for finance, HR, and legal teams. Cowork itself grew out of a pattern Anthropic noticed, with people repurposing its coding tool for general office tasks. The push extends into workplace apps too, from connections to Slack, Figma, and Box, as the line between chatbot and agent keeps thinning. For finance, HR, and communications teams, the usage data suggests the agent conversation is no longer only about developers.
In San Francisco, Some Home Sellers Now Ask for OpenAI or Anthropic Stock
When Nima Gabbay decided to sell his three-bedroom, two-bath San Francisco home for $2.995 million last month, his listing described the residence's soaring 10-foot ceilings, kitchen wrapped in Calacatta marble, remote-control skylights and oversize two-car garage. The 51-year-old real estate investor and developer also added an unusual clause: He would accept shares of OpenAI or Anthropic as payment for the home. Two OpenAI employees soon came forward offering some of their shares for the property, Mr. Gabbay said. One bid more than $1 million above the asking price, but appeared to inflate the value of his OpenAI stock. The other backed off when OpenAI filed to go public last month, deciding to hang on to the stock. Mr. Gabbay ultimately went with a third buyer who works in tech, and the sale is set to close this week. He was not at liberty to disclose the sale terms or the buyer's identity because he had signed a nondisclosure agreement, he said. "There's a bit of a gold rush situation right now in San Francisco," Mr. Gabbay said. Selling the home was "an avenue for me to potentially pick up some of this stock and be a part of the excitement of the companies going public." Even before OpenAI and Anthropic hold initial public offerings, the artificial intelligence companies -- which are based in San Francisco and leading the A.I. boom -- are distorting the city's housing market. Sellers are asking for pre-I.P.O. stock as payment for homes, property prices are surging as buyers bet that whatever they overpay today will look cheap tomorrow, and landlords are pushing out tenants to sell into the hotter market. The maneuvering is aimed at getting ahead of the wave of wealth when OpenAI and Anthropic, each valued at nearly $1 trillion, go public. Their I.P.O.s, plus the recent public offering of Elon Musk's SpaceX, could create more than 16,000 millionaires and more than 20 billionaires, according to Sacra, a private market research company. Already, San Francisco's sales of homes above $10 million have doubled over the past six months compared with a year earlier, said Joel Goodrich, an agent with Coldwell Banker Global Luxury. Forty-four homes closed at prices at least $1 million more than their asking price last month, said Mike Simonsen, the chief economist for Compass Real Estate. And there have been 144 such sales so far this year, up from eight in the first half of 2025. Fewer than 600 homes -- including single-family houses and condos -- are on the market today, about 40 percent below San Francisco's average of the past decade, according to Compass. The market is so frenzied that a six-bedroom, seven-bathroom 5,725-square-foot home in the Cow Hollow neighborhood with views of the Golden Gate Bridge and Alcatraz sold for $15 million in May, nearly double the list price of $7.9 million, according to John Caruso of Sotheby's International Realty. Even in a city that lived through the late-1990s dot-com boom and major public offerings by companies like Google (in 2004), Facebook (2012) and Uber (2019), property agents and wealth managers said they had never seen anything quite like this. "There's a hysteria that's out there right now," said Pete Rodway, a Compass agent who works mostly in the luxury market. One of his clients, an OpenAI employee, was scrambling to buy a $5 million home now to beat "a thousand other people that are going to have a budget of $30 million," he said. Garret Spiecker, who works at Citizens Private Bank and describes himself as a "financial therapist" for sudden wealth, said he had advised dozens of OpenAI and Anthropic employees on how to navigate the housing market. He has suggested they buy properties through trusts to protect their privacy, especially on homes above $5 million. "In this cycle, which differs from some of the others, a lot of these individuals are very young and quite wealthy very fast," he said. Anthropic and OpenAI, which have not set dates for their I.P.O.s, declined to comment. (The New York Times has sued OpenAI and Microsoft, claiming copyright infringement of news content related to A.I. systems. The companies have denied the claims.) Techies who do not work at OpenAI or Anthropic have accelerated their plans to buy homes. Sam Rosenstein, 31, a software engineer at the software company Databricks, and his partner, Michelle Huang, 31, who works in tech sales, jumped into the market this spring partly because they wanted to close on a deal before the flood of A.I. wealth, Ms. Huang said. "There was just a general acceptance that that time will eventually come," she said. Their urgency spiked when Mr. Rosenstein's landlord decided to sell his rental property to cash in on the rising market. But the competition for a home was so fierce that one house the couple bid $600,000 over asking for in April ended up selling for roughly $900,000 more than its asking price. In May, Mr. Rosenstein and Ms. Huang landed a four-bedroom, two-bathroom in the Hayes Valley neighborhood for $2.185 million, bidding $385,000 above asking. "When we put in the offer for the house, the seller came back and said we could pay the offer that we put in, or we could pay less money but provide 60 hours of A.I. consulting" on a personal project, Mr. Rosenstein said. "That's totally the weirdest thing that has happened." They declined the $10,000 discount. Like Mr. Gabbay, other home sellers are unabashedly angling for shares of OpenAI and Anthropic. In April, Storm Duncan, 56, the founder of the tech-focused investment bank Ignatious, quietly marketed his 4,372-square-foot four-bedroom, five-bath compound in nearby Mill Valley, Calif. -- featuring an infinity pool and views of the San Francisco skyline -- on a LinkedIn page he created just for his house, which he valued at approximately $8 million. He direct-messaged Anthropic employees and investors, hoping to trade the home for stock. The listing went viral after someone from Khosla Ventures, a venture capital firm that has invested in Anthropic and OpenAI, leaked the LinkedIn post, Mr. Duncan said. The California Post published an article about the property soon after. Mr. Duncan took the listing down, though he said he would still do the deal if the right opportunity arose. Anthropic is "narrowly focused on building a great product," he said. In May, Vijay Chattha, 49, a tech entrepreneur, listed his three-bedroom vacation home in Sonoma County wine country, an hour's drive from San Francisco, with a $500,000 discount off the $2.5 million price if the buyer paid in Anthropic stock. "I think Anthropic is going to grow faster than the real estate market, so why not just do a trade?" Mr. Chattha said. He added that he already had OpenAI stock and wanted to use the deal to build a stake in Anthropic. The vacation home, now listed at $2.35 million, has not sold. But Mr. Chattha said he was undeterred. He next plans to list a condo in San Francisco -- also for A.I. stock.
China warns of "security backdoor" in Anthropic AI coding tool
Beijing -- A Chinese industry regulator warned users on Wednesday of a "security backdoor" embedded in versions of U.S. artificial intelligence giant Anthropic's coding tool, Claude Code. The alleged backdoor could enable the software to "transmit sensitive information," including users' locations and identity-related identifiers, back to Anthropic's servers without users' consent, said China's National Vulnerability Database (NVDB), a cybersecurity platform. Claude Code is an AI coding agent that can generate computer code, debug software and review code based on user prompts. San Francisco startup Anthropic blocks users and companies in China and other nations it deems adversarial from accessing its products, but it is still possible to use them in the country through VPN or third-party proxy services. The NVDB, which is affiliated with China's Ministry of Industry and Information Technology, said on its website that it had recently "detected that the AI coding tool Claude Code contains security backdoor risks, posing a severe threat". Anthropic hasn't responded to AFP requests for comment on the allegations, which first emerged in specialist tech media last week. The NVDB advised relevant institutions and users "to conduct a comprehensive check immediately" and "promptly uninstall or upgrade to the latest secure version from which the relevant backdoor code has been removed." It also urged organizations to strengthen network traffic monitoring to prevent the unauthorized leakage of sensitive data. Chinese tech giant Alibaba told employees last week that the use of Claude Code would be banned starting July 10 due to security concerns, people familiar with the matter said. Anthropic has previously accused Alibaba of reverse-engineering its AI models to mimic their abilities in a process known as "distillation." Claude Code engineer Thariq Shihipar responded in an X post last week to reports alleging the tool was tracking certain data from Chinese users. "This is an experiment we launched in March that was meant to prevent account abuse from unauthorized resellers and protect against distillation," Shihipar wrote. "The team has landed stronger mitigations since then and we've actually been meaning to take this down for a while. ... This should be fully rolled back in tomorrow's release."
NVIDIA Vera CPU Demand Rises as Perplexity Backs Its AI Inference Performance - OnMSFT
NVIDIA Vera CPU demand is rising as more AI firms look for faster processors built for inference and agentic AI workloads, with Perplexity now joining the list of companies backing NVIDIA's latest data center CPU. According to Reuters, Perplexity VP Nate Kupp said Vera was a strong fit for the company's core workloads, as the chip delivered around 1.5 times faster performance than traditional CPUs in agentic AI coding tasks. Why NVIDIA Vera Matters for AI Workloads NVIDIA has positioned Vera as a CPU built for AI inference, where speed, predictable latency, and strong single-threaded performance matter more than simply adding more cores. Agentic AI workloads run in repeated loops, where the CPU handles a task, sends results back, and then helps the model decide the next step. NVIDIA says conventional CPUs do not handle this pattern well because more cores do not always reduce the time each step takes. Vera uses NVIDIA's custom Olympus cores and brings 50% higher IPC than Grace, which means each core can handle more instructions while staying efficient under load. Vera Focuses on Single-Threaded Speed NVIDIA describes Vera as a "Max Single-Threaded" CPU at scale, with strong per-core performance, high memory bandwidth, and predictable latency across workloads. The chip pairs its 88 cores with up to 1.2TB/s of LPDDR5X memory bandwidth while keeping memory power below 40W. NVIDIA also says Vera's monolithic compute die provides 3.4TB/s of core-to-core bandwidth, which helps reduce bottlenecks during demanding AI tasks. Perplexity's early results show why AI companies are paying attention. NVIDIA also claims stronger results in concurrent sandboxes, SQL analytics, and real-time streaming workloads when compared with traditional x86 CPU offerings. With Vera already reaching companies such as OpenAI, xAI, Oracle, Anthropic, and Perplexity, NVIDIA is now pushing deeper into the CPU market while preparing Rosa, its next-generation data center CPU with the newer Rigel core architecture.
UST Partners with Anthropic to Bring Claude Into UST's Platforms, Engineering, and Operations and Train 20,000 UST Employees Globally
Aliso Viejo / San Francisco (California) [US] / Bengaluru (Karnataka) [India], July 8: UST, a leading AI and technology transformation solutions company, today announced a strategic alliance with Anthropic, the AI safety and research company behind the Claude family of models. The partnership is focused on helping Global 1000 enterprises become AI-native. UST will embed Claude into the engineering environments and operational workflows it designs, builds, and runs for clients -- helping organizations move from isolated AI pilots to trusted, enterprise-scale AI embedded in the systems that drive their business. The alliance combines Claude models with UST's implementation, engineering, and domain expertise, enabling customers to adopt Claude more quickly and responsibly within existing enterprise environments. Rooted in a shared commitment to responsible AI, the alliance strengthens UST's position as a Global Premier Partner in the Claude Partner Network Services Tier and expands UST's ability to help organizations move from experimentation to trusted, large-scale deployment. By combining Claude models with UST's engineering expertise, deep industry knowledge, and global delivery model, customers can adopt Claude with greater confidence across complex enterprise environments. Claude for Physical AI: Enhancing UST's Engineering Platforms UST is integrating Claude into the engineering platforms that semiconductor, automotive, manufacturing, telecom, embedded, and IoT companies use for design verification, semiconductor validation, factory operations, and field service. This will enable teams to catch design flaws earlier, speed up chip validation, and integrate hardware and software into a single system from the factory floor to the field. These processes are foundational to physical AI, moving intelligence off the screen and into the equipment and robotics that run production. UST-iDEC is one of the clearest examples. The platform already changes the economics of hardware and silicon validation, cutting cycle times by 50-70% and compressing standard four-day turnarounds into 48 hours through a closed-loop, agentic validation pipeline. UST is now integrating Claude as the reasoning layer into that pipeline to further extend it. Claude Code reads chip pinouts and hardware schematics natively and writes and runs regression test scripts that engineers previously scripted by hand, while Claude's reasoning models compare live edge data against digital twins to flag firmware regressions and signal-integrity faults. UST is targeting an already-fast validation pipeline that gets even faster, with less manual scripting, earlier fault detection, without adding new tools for engineers. UST Platform solutions accelerated by Claude for Industry and Enterprise Workflows UST will integrate Claude into selected industry platforms and horizontal enterprise platforms. Together, these integrations will give clients a consistent way to apply AI across industry-specific and shared enterprise workflows where accuracy, data protection, compliance, and reliability are critical. Healthcare Payer: UST CarePath uses Claude to streamline member services, care management, and claims workflows, giving care teams a single, real-time view. Claude Code and MCP connectors link the platform directly to claims and care management systems, while an agentic layer routes each recommended action for approval before it reaches a member. The platform will help teams turn healthcare data into clear next steps, improve patient and member engagement, and resolve issues faster while staying within healthcare data governance controls. Telecom: UST IntelliOps will bring Claude into network operations, service assurance, and OSS/BSS modernization. The platform has Claude's reasoning layer wired in to help operators identify service issues, predict RAN failures, and reduce outage duration through approved response workflows and secure system integrations. This gives telecom operators fewer SLA penalties, shorter customer-facing outages, and less time NOC teams spend sorting signal from noise. Banking: Most mid-tier banks still run on core systems built for overnight batch processing, not real-time banking. Every new integration or product change requires months of vendor-dependent work. UST FinX connects legacy banking systems to a single modern, real-time platform built for open banking and API-first integration. Claude drives the platform's AI capabilities, accelerating onboarding, automating document processing, and providing staff with faster access to account and compliance data, all within FinX's built-in governance and audit controls. That's what lets a bank modernize without hiring a bigger compliance team just to keep up. Scaling Claude Across UST's Horizontal Platforms and Industries UST puts Claude to work everywhere clients feel the friction of change. In consulting, teams use Claude to redesign workflows and transformation roadmaps, helping enterprises adopt AI across functions and make change management repeatable rather than a one-off project. In business applications, Claude Code and approved MCP connectors handle configuration by hand, writing integration logic and letting teams describe what they need in plain language. In data and automation, Claude builds pipelines, accelerates analysis, and coordinates end-to-end handoffs between systems that once required manual stitching. In cloud, infrastructure, and security, Claude supports migration planning, writes infrastructure as code, checks it against policy before it ships, and helps teams get to the bottom of an incident faster, all under the same governance running across the alliance. Looking ahead, UST will also bring Claude into its retail, consumer goods, and manufacturing platforms to sharpen merchandising and inventory planning, strengthen digital commerce, and improve supply chain execution. UST's Own Operations, Accelerated by Claude UST already applies AI across its own operations and continues to expand its use of Claude and Claude Cowork. Within UST, deploying these capabilities across contracts, legal, talent, marketing, infrastructure, and finance demonstrates a commitment to innovation and operational excellence. Teams are transforming manual processes into reusable, Claude-native workflows and developing role-specific Claude skills to support key functions. These workflows operate with clear guardrails and human oversight at critical points, ensuring that automation supports accountability and informed judgment alongside speed. The result is more consistent operations and more time for employees to focus on judgment, negotiation, client work, and creative problem-solving. The impact is twofold. Operations run faster and cleaner, and people gain time for decisions, negotiations, and imagination that drive growth. By gaining firsthand experience with the operational, technical, and change management challenges of AI adoption, UST is building the foundation for how it helps customers reimagine their enterprise transformation. That experience is evolving into an operating playbook of tested workflows, governance models, and value frameworks, proven within a complex organization and designed to accelerate time-to-value while managing financial and operational risk. UST commits to training 20,000 developers and industry experts equipped to build with Claude at enterprise scale A core pillar of this alliance is powering UST's transformation into an AI-native company, starting with how UST works internally, not just what it delivers to clients. As part of the alliance, UST plans to certify 20,000 associates worldwide on Claude, across roles from architects and engineers to consultants, industry specialists, and forward-deployed engineers who can sit alongside client teams to think, build, and solve problems every day. This reflects UST's continued emphasis on talent enablement, grounded in its core values of Humility, Humanity, and Integrity, while developing a growing community of AI-native developers, FDE-style practitioners, architects, and industry experts equipped to build with Claude at enterprise scale. UST will build specialized teams to deploy Claude, with support from Anthropic enablement, technical guidance, and certification. 'Our alliance with Anthropic reflects UST's unwavering commitment to helping clients navigate the AI landscape with confidence and achieve meaningful business outcomes. By combining the capabilities of Claude with UST's engineering, industry knowledge, and delivery expertise, we are bringing to market industry-specific platforms and digital and engineering solutions that improve productivity, accelerate business outcomes, and help clients operationalize AI-led decisions in a safe and secure environment,' said Krishna Sudheendra, Chief Executive Officer, UST. 'UST helps the world's banks, telecoms, and manufacturers put new technology to work. They're proving Claude inside their own engineering first, training 20,000 of their own people on it, before bringing it into the systems they build and run for clients,' said Paul Smith, Chief Commercial Officer, Anthropic. 'We are wiring Claude into how UST designs, builds, and runs solutions across our consulting, platforms, engineering services, and industry offerings. This alliance with Anthropic helps us deliver higher-value outcomes for clients while advancing UST's transformation into an AI-native organization built on trust, human oversight, and long-term impact,' said Manu Gopinath, President, UST. (ADVERTORIAL DISCLAIMER: The above press release has been provided by BusinessWire India. ANI will not be responsible in any way for the content of the same)
Anthropic expands Claude Cowork to web, mobile - here's how
Feature is rolling out in beta to Claude Max subscribers first Anthropic has expanded its Claude Cowork AI assistant to the web and mobile, allowing it to continue working even after users close their laptops. The update removes one of the feature's biggest limitations by shifting long-running tasks to the cloud, enabling users to start work on one device and track progress from another. Since its launch, Claude Cowork required users to keep the desktop app running while it completed tasks. With the latest update, tasks now continue in the cloud, meaning users can close their laptops while Claude keeps working in the background. The feature is rolling out in beta to Claude Max subscribers first, with availability for other subscription plans expected in the coming weeks. Work across devices The update lets users begin a task on their computer and later check its progress from the Claude web app or mobile app. Whether it's organizing files, managing emails, reviewing calendars or handling connected workplace tools, Claude can continue processing tasks without requiring an active desktop session. Anthropic says the assistant will still notify users whenever a decision requires approval, ensuring it does not send messages or take important actions without permission. Most users aren't developers Alongside the rollout, Anthropic revealed new insights into how people use Claude Cowork. According to the company, more than 90% of Cowork usage comes from everyday business tasks, including content creation, business operations and administrative work, rather than software development or programming. The data suggests AI agents are increasingly being used by professionals to automate routine office tasks instead of purely technical workflows. Making AI More flexible By extending Claude Cowork to the cloud, Anthropic aims to make AI assistants more practical for users who frequently switch between devices or work remotely. The company believes the update will encourage wider adoption by allowing people to delegate lengthy tasks without remaining tied to their computers.
AI trade war heats up: China warns of 'security backdoor' in Anthropic's Claude Code | Mint
China's National Vulnerability Database said the suspected vulnerability could allow the transfer of data, such as user location details and identity-related information. A Chinese cybersecurity regulator has warned users about an alleged "security backdoor" in certain versions of Anthropic's artificial intelligence coding assistant, Claude Code, claiming the tool could transmit sensitive user information to the company's servers without consent. China's National Vulnerability Database (NVDB), a government-backed cybersecurity platform, said the suspected vulnerability could allow the transfer of data such as user location details and identity-related information. The regulator urged organisations and individuals using the software to immediately review their systems and take precautionary measures. Claude Code is an AI-powered coding agent developed by US-based AI company Anthropic. The tool can create software code, identify and fix programming errors, and analyse existing code based on user instructions. Anthropic has restricted access to its products for users and organisations in China and several other countries it considers high-risk jurisdictions. However, Chinese users can still access the company's AI services through virtual private networks (VPNs) or third-party proxy platforms. Anthropic has not publicly responded to requests for comment regarding the allegations, which were initially reported by specialised technology outlets last week. The NVDB, which is affiliated with China's Ministry of Industry and Information Technology, said on its website it had recently "detected that the AI coding tool Claude Code contains security backdoor risks, posing a severe threat". The NVDB advised companies and users to conduct a detailed security review and either remove affected versions of Claude Code or upgrade to newer versions where the alleged backdoor code has been eliminated. It also recommended stronger monitoring of network traffic to prevent possible unauthorised transfer of sensitive information. The warning comes amid rising scrutiny of AI tools and data security risks as governments and companies worldwide compete to develop and deploy advanced artificial intelligence technologies. Chinese technology giant Alibaba Group has reportedly instructed employees to stop using Claude Code from 10 July due to security concerns, according to AFP . The move follows earlier tensions between Anthropic and Chinese technology firms. Anthropic has previously accused Alibaba of attempting to reverse-engineer its AI models through a process known as "distillation," in which one AI system is trained to replicate the capabilities of another. Meanwhile, Claude Code engineer Thariq Shihipar responded on X last week to claims that the tool was collecting or tracking certain data from Chinese users. "This is an experiment we launched in March that was meant to prevent account abuse from unauthorized resellers and protect against distillation," Shihipar wrote. "The team has landed stronger mitigations since then and we've actually been meaning to take this down for a while... this should be fully rolled back in tomorrow's release." The controversy highlights growing geopolitical tensions surrounding artificial intelligence, with cybersecurity, data privacy and control over advanced AI technologies becoming major issues in the competition between the United States and China.
How TeraWulf's Anthropic Deal Booted Up a $19B AI Empire
Artificial intelligence is hitting a severe physical barrier. The language models are getting exponentially smarter, and the silicon is processing data faster than ever before, but the physical electrical grid cannot deliver power fast enough to keep up with demand. Hyperscalers require multi-gigawatt power drops and large liquid-cooling systems to train their next-generation models, and they need these facilities to be fully operational immediately. Enter the Bitcoin mining sector. For years, cryptocurrency miners have spent billions building high-density energy fortresses in remote locations. Now, operators with the right infrastructure are realizing they hold the exact real estate that artificial intelligence (AI) developers are desperate to acquire. → 3 High-Yield Dividend Stocks With Real Capital Gains Potential in 2026 The $19 Billion Jolt: Rewiring the AI Infrastructure Trade TeraWulf Inc. (NASDAQ: WULF) just provided the definitive proof of concept for this entire infrastructure crossover thesis. TeraWulf recently executed a landmark 20-year lease agreement with artificial intelligence powerhouse Anthropic, securing an estimated $19 billion in contracted revenue over the initial term. Investors should see this as more than a standard commercial real estate transaction. It represents a fundamental structural shift in how digital infrastructure operators can monetize stranded power assets. By transitioning from the highly cyclical nature of cryptocurrency mining to utility-grade data center yield, TeraWulf is setting an entirely new operational precedent for the high-performance computing (HPC) sector. → Flash Crash or Cash? The AI Hardware Reset Investors Can't Ignore Flipping the Switch: Funding a $19B Hyperscaler Empire To understand the magnitude of this transition, investors must look at the specific mechanics of the Anthropic agreement and how TeraWulf is actively funding the buildout. The 20-year lease centers on the Justified Data campus in Hawesville, Kentucky, which is a purpose-built facility designed to handle 401 megawatts of critical IT load.
Anthropic Launches Paid Fellowship Placing AI-Skilled Talent at Nonprofits | EURweb | Black News, Culture, Entertainment & More
*Anthropic wants to pay you to learn AI and put it to work for a good cause. The company behind Claude has launched Claude Corps, a fully funded, 12-month paid fellowship that places early-career talent inside mission-driven nonprofits. The program reportedly pays $85,000 with full benefits. The eligibility bar is refreshingly low. Applicants must be 18 or older, authorized to work in the United States, and have under two years of full-time work experience. No college degree is required. No coding background is needed either. Fellows work full-time on projects that help nonprofits use Claude across areas such as workforce development, public health, housing, food security, veterans services, and education. Projects might include streamlining intake processes, surfacing insights from data, or building tools that free up staff for direct service. Three organizations run the program together. Anthropic funds it and provides Claude expertise. CodePath, a national nonprofit focused on technical education, recruits, trains, and employs fellows. Social Finance administers the philanthropic capital and leads evaluation. So what are they looking for? Fast learners who already use AI tools in daily life, communicate clearly, work well with others, and have shown up for a cause they care about. Every fellow completes a Claude-focused training program before placement, so expertise is not expected. The application includes a short form, two Anthropic courses on AI fluency, and two short-answer questions. Candidates who advance complete a take-home assessment, a 25-minute conversation, and two final interviews. Selected fellows then interview with two to three host organizations to find the best fit. The deadline for the first cohort is July 17, 2026, with a start date of October 19, 2026. Applications remain open on a rolling basis for January 2027 and August 2027 cohorts. All first-cohort placements are in person, and relocation costs are covered. Visit the website for more information and apply to the program. MORE NEWS ON EURWEB.COM: Tech Leaders Signal the Beginning of the End for Smartphones
After SpaceX, what investors must know about OpenAI and Anthropic IPOs
OpenAI and Anthropic, two of the leading artificial intelligence giants, are gearing up to hit the stock market for the first time through initial public offerings (IPO). The $2 trillion SpaceX IPO has shown that investor enthusiasm for AI companies is at fever pitch. While the shares in the rocket tech and AI firm have fallen back since, the fact that they shot up from the $135 IPO price to top $200 illustrates this, despite falling back somewhat afterwards. So what does that mean for OpenAI and Anthropic? This is a trillion-dollar question. Both companies have already made their 'S1 filings' in America, which acts as the regulatory starting gun on an IPO. There is no exact timeline announced for either company though, with estimates ranging from this autumn to the beginning of 2027. It was earlier thought that the OpenAI deal would follow very soon after SpaceX and take place in late summer or early Autumn. A change of plan has occurred though, with reports indicating executives including CEO Sam Altman decided it is still too early to get the best possible outcome from an IPO. With the company targeting a valuation of over a trillion dollars, they are wary of getting the timing wrong by going to the market when investor appetites are still recovering from the SpaceX deal, and while the huge volatility that shares in the rocket company have seen may have scared some investors away. It has also been reported that OpenAI revenues are not yet high enough to secure the stock market valuation its team wants, but may be so by next year. Anthropic is still expected to push ahead with its plans to do its IPO soon, with October suggested as the likeliest timeframe. Buying shares in either OpenAI or Anthropic - once available - is arguably one of the purest, most direct ways to profit from the AI boom in the long run. Owning a piece of either company would give you a stake in the future of AI. How much you believe in this future, and how profitable it will be for the companies involved, is the question you must contend with if considering an investment. While it is all far from guaranteed, if even a small proportion of the vast potential of AI is delivered upon in the coming years, whichever companies are at the forefront are sure to make huge amounts of money, and shares in them will potentially rise significantly over time. OpenAI's ChatGPT and Anthropic's Claude services have already shown impressive capabilities, and the companies are raking in billions of dollars in subscription fees from their users. That certainly shows these companies have moved far beyond theory and speculation - but it does not guarantee continued progress. Both companies are very well established already, both in practical terms such as securing relationships with key infrastructure suppliers, and in establishing their brand as cutting-edge AI firms. It will be hard for new players to overthrow them. The biggest concern over investing in OpenAI or Anthropic is execution risk, or the possibility that the business project isn't carried out as successfully as planned. The companies are both essentially being valued on what they will do in the future rather than what they do now and predicting whether they can deliver on their potential plans is not certain. Both companies have already produced groundbreaking technology and are continuing to innovate at pace, but what they have done so far does not justify the kind of trillion-dollar-plus valuations they are expected to target in their IPOs. While both firms are making significant revenues through subscriptions to their services, that is not the same as profits - because they are spending cash at phenomenal rates. The computer components required to run cutting edge AI models cost billions of dollars to buy at scale, and also have large electricity costs attached to running them. That is before you even pay the people who are working for the companies. There is also a large shadow cast over all American AI companies in the shape of China. The arrival of DeepSeek AI models last year was a wake-up call to American firms and investor, highlighting the risk that Chinese companies could offer similar AI services at much lower cost, or even for free. Another significant risk relating specifically to the IPOs is the share price volatility that may occur. SpaceX shares moved up and down dramatically in the days that followed the IPO and there is every chance OpenAI and Anthropic shares will too. Buying at the wrong time could leave you with a hefty paper loss, at least in the short term. The SpaceX IPO was made available to UK investors via some of the major investment platforms. It is likely to be similar for OpenAI and Anthropic when the IPOs take place. Once you have an account with a platform that offers IPO access, it is relatively simple to follow the menu system on their website and find the specific details of how to take part. While you cannot invest in either company directly before the IPOs it is straightforward to get exposure to many of the companies involved in AI via thematic exchange-traded funds (ETFs). There are many ETFs that offer exposure to the AI theme broadly, or specific parts on the industry such as semiconductors or GPUs, the computer chips which the likes of GPT and Claude are run on. Another option if you do not want to wait is to target the AI firms which already offer listed shares, such as Google (Alphabet), Meta Platforms, SpaceX and Microsoft.
UST to train 12,000 employees in India on Anthropic's Claude
IT services company UST has partnered with AI startup Anthropic to embed its Claude family of large language models across enterprise platforms, engineering services and internal operations, with plans to train and certify 12,000 employees in India as part of a broader global AI upskilling programme. The company said it will certify 20,000 employees worldwide on Claude, of which nearly 60% will be based in India, underscoring the country's growing role in building enterprise AI capabilities. The programme will cover architects, software engineers, consultants and industry specialists who will deploy AI solutions for global customers. The partnership comes as Indian IT services firms increasingly deepen their ties with frontier AI model providers to move enterprise customers beyond proof-of-concept projects towards production-scale deployments. Rather than building proprietary foundation models, service providers are focusing on integrating leading AI models into business workflows, software engineering and industry-specific platforms. Under the alliance, UST will integrate Claude into its proprietary platforms spanning semiconductor engineering, manufacturing, healthcare, banking, telecommunications and enterprise operations. The company said the collaboration will help customers modernise legacy systems, automate business processes and deploy AI with governance and human oversight built into enterprise workflows. A key focus for India will be engineering and semiconductor services, where UST plans to integrate Claude into design verification, chip validation and embedded engineering platforms. The company said its UST-iDEC platform, used for semiconductor validation, currently reduces validation cycle times by 50-70% and will now incorporate Claude's reasoning capabilities to automate test generation, analyse hardware schematics and detect design defects earlier. UST will also extend Claude across its healthcare, banking and telecom platforms. In banking, the company said Claude will support document processing, customer onboarding and compliance workflows on its FinX platform, while in telecom it will help predict network failures and automate service assurance through its IntelliOps platform. Internally, UST plans to deploy Claude across legal, finance, human resources, infrastructure and marketing functions, creating reusable AI workflows with governance controls and human review for critical decisions. Krishna Sudheendra, Chief Executive Officer of UST, said the partnership is aimed at helping enterprises operationalise AI securely while improving productivity and accelerating business outcomes. Paul Smith, Chief Commercial Officer at Anthropic, said UST is first deploying Claude across its own engineering and delivery organisation before taking those capabilities to enterprise customers, enabling clients to adopt AI with proven implementation models.
UST Partners with Anthropic to Bring Claude Into UST's Platforms, Engineering, and Operations and Train 20,000 UST Employees Globally
Aliso Viejo / San Francisco (California) [US] / Bengaluru (Karnataka) [India], July 8: UST, a leading AI and technology transformation solutions company, today announced a strategic alliance with Anthropic, the AI safety and research company behind the Claude family of models. The partnership is focused on helping Global 1000 enterprises become AI-native. UST will embed Claude into the engineering environments and operational workflows it designs, builds, and runs for clients -- helping organizations move from isolated AI pilots to trusted, enterprise-scale AI embedded in the systems that drive their business. The alliance combines Claude models with UST's implementation, engineering, and domain expertise, enabling customers to adopt Claude more quickly and responsibly within existing enterprise environments. Rooted in a shared commitment to responsible AI, the alliance strengthens UST's position as a Global Premier Partner in the Claude Partner Network Services Tier and expands UST's ability to help organizations move from experimentation to trusted, large-scale deployment. By combining Claude models with UST's engineering expertise, deep industry knowledge, and global delivery model, customers can adopt Claude with greater confidence across complex enterprise environments. Claude for Physical AI: Enhancing UST's Engineering Platforms UST is integrating Claude into the engineering platforms that semiconductor, automotive, manufacturing, telecom, embedded, and IoT companies use for design verification, semiconductor validation, factory operations, and field service. This will enable teams to catch design flaws earlier, speed up chip validation, and integrate hardware and software into a single system from the factory floor to the field. These processes are foundational to physical AI, moving intelligence off the screen and into the equipment and robotics that run production. UST-iDEC is one of the clearest examples. The platform already changes the economics of hardware and silicon validation, cutting cycle times by 50-70% and compressing standard four-day turnarounds into 48 hours through a closed-loop, agentic validation pipeline. UST is now integrating Claude as the reasoning layer into that pipeline to further extend it. Claude Code reads chip pinouts and hardware schematics natively and writes and runs regression test scripts that engineers previously scripted by hand, while Claude's reasoning models compare live edge data against digital twins to flag firmware regressions and signal-integrity faults. UST is targeting an already-fast validation pipeline that gets even faster, with less manual scripting, earlier fault detection, without adding new tools for engineers. UST Platform solutions accelerated by Claude for Industry and Enterprise Workflows UST will integrate Claude into selected industry platforms and horizontal enterprise platforms. Together, these integrations will give clients a consistent way to apply AI across industry-specific and shared enterprise workflows where accuracy, data protection, compliance, and reliability are critical. Healthcare Payer: UST CarePath uses Claude to streamline member services, care management, and claims workflows, giving care teams a single, real-time view. Claude Code and MCP connectors link the platform directly to claims and care management systems, while an agentic layer routes each recommended action for approval before it reaches a member. The platform will help teams turn healthcare data into clear next steps, improve patient and member engagement, and resolve issues faster while staying within healthcare data governance controls. Telecom: UST IntelliOps will bring Claude into network operations, service assurance, and OSS/BSS modernization. The platform has Claude's reasoning layer wired in to help operators identify service issues, predict RAN failures, and reduce outage duration through approved response workflows and secure system integrations. This gives telecom operators fewer SLA penalties, shorter customer-facing outages, and less time NOC teams spend sorting signal from noise. Banking: Most mid-tier banks still run on core systems built for overnight batch processing, not real-time banking. Every new integration or product change requires months of vendor-dependent work. UST FinX connects legacy banking systems to a single modern, real-time platform built for open banking and API-first integration. Claude drives the platform's AI capabilities, accelerating onboarding, automating document processing, and providing staff with faster access to account and compliance data, all within FinX's built-in governance and audit controls. That's what lets a bank modernize without hiring a bigger compliance team just to keep up. Scaling Claude Across UST's Horizontal Platforms and Industries UST puts Claude to work everywhere clients feel the friction of change. In consulting, teams use Claude to redesign workflows and transformation roadmaps, helping enterprises adopt AI across functions and make change management repeatable rather than a one-off project. In business applications, Claude Code and approved MCP connectors handle configuration by hand, writing integration logic and letting teams describe what they need in plain language. In data and automation, Claude builds pipelines, accelerates analysis, and coordinates end-to-end handoffs between systems that once required manual stitching. In cloud, infrastructure, and security, Claude supports migration planning, writes infrastructure as code, checks it against policy before it ships, and helps teams get to the bottom of an incident faster, all under the same governance running across the alliance. Looking ahead, UST will also bring Claude into its retail, consumer goods, and manufacturing platforms to sharpen merchandising and inventory planning, strengthen digital commerce, and improve supply chain execution. UST's Own Operations, Accelerated by Claude UST already applies AI across its own operations and continues to expand its use of Claude and Claude Cowork. Within UST, deploying these capabilities across contracts, legal, talent, marketing, infrastructure, and finance demonstrates a commitment to innovation and operational excellence. Teams are transforming manual processes into reusable, Claude-native workflows and developing role-specific Claude skills to support key functions. These workflows operate with clear guardrails and human oversight at critical points, ensuring that automation supports accountability and informed judgment alongside speed. The result is more consistent operations and more time for employees to focus on judgment, negotiation, client work, and creative problem-solving. The impact is twofold. Operations run faster and cleaner, and people gain time for decisions, negotiations, and imagination that drive growth. By gaining firsthand experience with the operational, technical, and change management challenges of AI adoption, UST is building the foundation for how it helps customers reimagine their enterprise transformation. That experience is evolving into an operating playbook of tested workflows, governance models, and value frameworks, proven within a complex organization and designed to accelerate time-to-value while managing financial and operational risk. UST commits to training 20,000 developers and industry experts equipped to build with Claude at enterprise scale A core pillar of this alliance is powering UST's transformation into an AI-native company, starting with how UST works internally, not just what it delivers to clients. As part of the alliance, UST plans to certify 20,000 associates worldwide on Claude, across roles from architects and engineers to consultants, industry specialists, and forward-deployed engineers who can sit alongside client teams to think, build, and solve problems every day. This reflects UST's continued emphasis on talent enablement, grounded in its core values of Humility, Humanity, and Integrity, while developing a growing community of AI-native developers, FDE-style practitioners, architects, and industry experts equipped to build with Claude at enterprise scale. UST will build specialized teams to deploy Claude, with support from Anthropic enablement, technical guidance, and certification. 'Our alliance with Anthropic reflects UST's unwavering commitment to helping clients navigate the AI landscape with confidence and achieve meaningful business outcomes. By combining the capabilities of Claude with UST's engineering, industry knowledge, and delivery expertise, we are bringing to market industry-specific platforms and digital and engineering solutions that improve productivity, accelerate business outcomes, and help clients operationalize AI-led decisions in a safe and secure environment,' said Krishna Sudheendra, Chief Executive Officer, UST. 'UST helps the world's banks, telecoms, and manufacturers put new technology to work. They're proving Claude inside their own engineering first, training 20,000 of their own people on it, before bringing it into the systems they build and run for clients,' said Paul Smith, Chief Commercial Officer, Anthropic. 'We are wiring Claude into how UST designs, builds, and runs solutions across our consulting, platforms, engineering services, and industry offerings. This alliance with Anthropic helps us deliver higher-value outcomes for clients while advancing UST's transformation into an AI-native organization built on trust, human oversight, and long-term impact,' said Manu Gopinath, President, UST. (ADVERTORIAL DISCLAIMER: The above press release has been provided by BusinessWire India. ANI will not be responsible in any way for the content of the same)
China issues 'backdoor' security alert over Anthropic's Claude Code
A cybersecurity platform operated by China's industry ministry warned on Wednesday that it had identified a serious security "backdoor" risk in Anthropic's AI coding tool, Claude Code. US-based Claude Code is an AI agent capable of generating, debugging and reviewing code based on user prompts. China's National Vulnerability Database (NVDB), in a statement posted on its WeChat account, said Claude Code contained a built-in monitoring mechanism capable of transmitting sensitive information, including users' geographic location and identity-related identifiers, to remote servers without users' consent. The warning applied to Claude Code versions 2.1.91 through 2.1.196, according to the state-operated cybersecurity platform. Read: A new, inexpensive Chinese AI model is catching up with Anthropic, OpenAI on their home turf NVDB advised that organisations and users in the country should immediately review affected systems and either uninstall the impacted versions or upgrade to the latest secure release in which the alleged backdoor code has been removed. It also urged organisations to tighten controls on external network access for development tools and strengthen traffic monitoring on core business networks to prevent the unauthorised transfer of sensitive data. China's Alibaba had banned employees from using Claude Code at work after the tool drew scrutiny for features enabling it to identify China-linked users, Reuters reported last week. Anthropic did not reply to a Reuters request for comment. Also Read: Alibaba.com sees CPEC 2.0 boosting trade
Elon Musk's Grok 4.5 AI Model Goes Public Today as SpaceX (SPCX) Stock Struggles
* Elon Musk confirmed Grok 4.5 becomes publicly available Wednesday, July 9 * The AI model is positioned as "Opus-class," with Musk touting superior speed, token efficiency, and cost advantages over Anthropic's Claude * The release leverages xAI's groundbreaking V9 foundation model featuring 1.5 trillion parameters * SpaceX shares dropped almost 7% during their inaugural trading day as a Nasdaq 100 component, showing marginal pre-market gains Wednesday * OpenAI plans to unveil GPT-5.6 Thursday after postponing the launch due to national security considerations Elon Musk revealed Tuesday night that the public rollout of Grok 4.5 would occur Wednesday, July 9. This represents the newest iteration of SpaceXAI's primary artificial intelligence offering, the company previously operating under the xAI brand. Musk took to social platforms to characterize the model as "Opus-class," drawing a direct comparison with Anthropic's Claude by asserting that Grok 4.5 delivers "faster, more token-efficient, and lower cost" performance. The development of Grok 4.5 utilized xAI's cutting-edge V9 foundation architecture, boasting 1.5 trillion parameters. Musk disclosed earlier this July that the system had begun closed beta evaluation at SpaceX and Tesla facilities. Grok 4.3, the prior release, debuted in April. Musk had been signaling an enhanced version was in development since that time. SpaceX's Artificial Intelligence Strategy xAI merged with SpaceX in February 2026, subsequently rebranding as SpaceXAI. The Grok product family now represents a central element of SpaceX's artificial intelligence market expansion, complementing its aerospace and satellite operations. The Grok 4.5 debut arrives amid intensifying competition within the generative AI landscape. OpenAI, Anthropic, and Google have each introduced progressively sophisticated models throughout the previous twelve months. OpenAI has scheduled GPT-5.6's public introduction for Thursday. The company postponed that launch last month following government concerns regarding potential exploitation by malicious entities. Market observers are tracking how rapidly Grok 4.5 can capture consumer and enterprise adoption. Robust market acceptance would bolster SpaceX's artificial intelligence revenue objectives. SPCX Shares Face Selling Pressure Tuesday represented SpaceX stock's debut trading session following its addition to the Nasdaq 100 index. Shares declined nearly 7% during the session, caught in a wider technology sector downturn. Space Exploration Technologies Corp., SPCX Multiple Wall Street research firms launched coverage with Buy recommendations, yet this failed to provide support for the stock. Market participants maintained a cautious outlook. SpaceX equity showed strength immediately following its initial public offering, though those early advances dissipated rapidly. As of Tuesday's trading close, shares have declined approximately 7% from their June 12 market debut. Wednesday's pre-market activity showed the stock advancing 0.12%, representing a slight rebound before the Grok 4.5 availability. SpaceX maintains a Strong Buy consensus among analysts tracked by TipRanks. The consensus price target sits at $212.08, suggesting potential upside of roughly 46% from present valuation levels.
Claude Cowork expands to mobile and web as Anthropic reveals what people actually use it for
* You can now run Claude Cowork in the cloud, from the web or mobile * Knowledge work now accounts for around half of all Cowork sessions * Traditional local Cowork sessions are still supported Days after reports surfaced that Anthropic could be bringing Claude Cowork to its mobile app, the company has gone one further - users can now start, monitor and complete their agentic workflows from the mobile app and a dedicated web portal. The upgrade is rolling out in beta now for Claude Max subscribers, but the company has plans to bring the functionality to more plans as rollout continues. As part of the upgrade, Cowork sessions will also run in the cloud by default - another beta introduction that means workflows can continue even once a PC goes offline or shuts down. Claude Cowork can now be used virtually anywhere Because the AI agent can run autonomously across things like files and documents, emails and calendars, and other connected apps, many users mostly left Cowork to run independently. However because it ran locally, it required users to keep their desktop session active even when they stepped away. Now, scheduled work no longer requires a device to remain online - though users can still choose to run Cowork locally when access to local files is required, for example. As for why Claude Cowork is being used, Anthropic has revealed that the autonomous agent is mostly being used among knowledge workers despite initially being targeted at coders. "Pulling scattered updates into a single report, building onboarding checklists and reconciling spreadsheets" account for the largest chunk, at around 33% of all use cases across Anthropic's analysis of 1.2 million sessions. Content creation and copywriting (16%) came next, with software development (9%) and DevOps and infrastructure (7%) actually only accounting for much smaller proportions. With knowledge work now accounting for nearly half of all Claude Cowork sessions, the company's research shows agentic AI emerging as an everyday work colleague. Though the company didn't indicate how, or whether, this shift in behavior might impact its pipeline, a shift away from coding as a primary use case could evolve Cowork in different ways to how we might have imagined. Follow TechRadar on Google News and add us as a preferred source to get our expert news, reviews, and opinion in your feeds.
