News & Updates
The latest news and updates from companies in the WLTH portfolio.
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.
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.
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.
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.
TeraWulf's Rough Week: Meta's Cloud Push, DeepSeek Chips and Crypto's Drop Overshadow Anthropic Deal - Te
* TeraWulf stock is trending lower. Why are WULF shares declining? Broader Sector Headwinds Adding to the pressure, cryptocurrency markets have broadly declined today -- a meaningful headwind for TeraWulf, which still operates a Bitcoin mining business alongside its AI infrastructure pivot. Bitcoin is down 1.68% to $62,087. Meta Enters the AI Cloud Market The Anthropic Deal TeraWulf Shares Edge Lower WULF Price Action: At the time of publication, TeraWulf shares are trading 1.53% lower at $19.92, according to data from Benzinga Pro. Image via Shutterstock This content was partially produced with the help of AI tools and was reviewed and published by Benzinga editors. Market News and Data brought to you by Benzinga APIs To add Benzinga News as your preferred source on Google, click here.
Chinese AI Models Gain Ground in U.S. as Lower Costs Challenge OpenAI and Anthropic
Chinese artificial intelligence models are rapidly gaining acceptance among U.S. businesses as companies seek to reduce soaring AI costs without sacrificing performance, marking a significant shift in a market long dominated by American technology firms. Developers and businesses are increasingly turning to open-source and open-weight AI models from Chinese companies such as DeepSeek, Z.ai and Alibaba's Qwen, attracted by systems that many say now deliver capabilities approaching those of leading U.S. models at a fraction of the cost. The trend is emerging at a sensitive moment for the United States, as the Trump administration weighs tighter oversight of advanced AI technologies while also grappling with the growing global influence of Chinese AI developers. Industry data suggests the shift is no longer confined to experimentation. According to OpenRouter, a platform that allows developers to access and compare AI models from multiple providers, more than 30% of tokens used by U.S. companies each week since February 8 have been processed through Chinese AI models. At one point, that share climbed to 46%. The figures represent a dramatic change from previous usage patterns. Over the preceding 12 months, Chinese models accounted for an average of just 11% of OpenRouter's token usage, while their share fell to only 4.5% during the first half of 2025. The sharp increase shows how quickly developers are reconsidering the economics of artificial intelligence as operating costs become a larger concern. Early enterprise AI adoption was largely driven by access to the most capable models available, regardless of price. Increasingly, companies are evaluating whether premium AI systems justify their significantly higher operating costs. Kyle Chan, a fellow at the John L. Thornton China Center at the Brookings Institution, said rising prices at American AI companies are changing purchasing decisions. "Chinese AI models are particularly attractive to American companies now as AI costs skyrocket," Chan told CNBC. "Where previously U.S. companies were prioritizing AI adoption regardless of model, now they're getting more cost-conscious." That shift is disrupting the status quo. Many of the newest Chinese AI systems are distributed as open-source or open-weight models, allowing developers to inspect, customize, or build applications using technology that is not fully locked behind proprietary platforms. This contrasts with many flagship models from OpenAI, Anthropic and Google, whose internal architectures, training methods and core technologies remain proprietary. The flexibility of open models has become attractive for businesses seeking greater control over their AI infrastructure while reducing dependence on commercial application programming interfaces (APIs). The cost savings can be substantial. According to Justin Summerville, who works on data and analytics at OpenRouter, leading Chinese open-source models are typically between 60% and 90% cheaper than comparable offerings from OpenAI and Anthropic. Those economics are beginning to influence real business decisions. AI startup Lindy recently migrated all of its AI workloads from Anthropic's Claude models to DeepSeek, one of China's fastest-rising AI companies. DeepSeek attracted global attention in early 2025 with a highly competitive reasoning model before introducing another major model upgrade in April. Lindy's Chief Executive Officer, Flo Crivello, said the transition immediately transformed the company's operating costs. "We did it, and you could see that cost curve go down, like, crash to the ground," Crivello told CNBC. He estimated the move would save the company millions of dollars within a matter of months. The growing adoption extends beyond DeepSeek. Developer platform Vercel reported that DeepSeek significantly increased its share of AI token usage between May and June. Even more striking has been the rapid rise of Z.ai's GLM 5.2 model. Released in June, GLM 5.2 recorded the fastest adoption of any AI model tracked by Vercel during 2026. According to Harpreet Arora, the company's Head of Agentic Infrastructure, daily token volume surged approximately 27-fold during the model's first full week after launch, while the number of customers using it increased about 80 times. Arora said economics, rather than ideology, is increasingly determining which models companies deploy. "Price is doing the work here," he said. "When a task doesn't need the best model, teams are beginning to route it to the cheapest one that's good enough, and the recent wave of models coming out of China is winning that trade." This shows that companies are now routing different tasks to different models depending on complexity, accuracy requirements and cost, rather than relying on a single AI provider. Routine customer support, document processing, and software development tasks may be assigned to lower-cost models, while more demanding reasoning or research tasks continue to use premium frontier systems. The approach allows organizations to reduce AI expenses while maintaining performance where it matters most. LaunchLemonade, an AI platform serving regulated industries, has observed the same trend. Although Anthropic's Claude and OpenAI's ChatGPT remain its most widely used models, Z.ai's GLM 5.2 has already entered the platform's five most-used AI systems. Chief Executive Officer Cien Solon said businesses are becoming increasingly pragmatic. "Chinese models like Z.ai and Alibaba's Qwen are becoming options for companies as they offer an attractive combination of performance and cost for specific workloads," Solon told CNBC. "Businesses with more mature AI strategies are increasingly willing to use them where they make technical or commercial sense." The growing interest is not driven by price alone. Researchers say Chinese AI models are closing the performance gap with the industry's leading American systems. Chan estimates that China's most advanced models now trail the top U.S. frontier models by approximately six to nine months while costing only a fraction as much to operate. "The new open-source models are performing well and prove capable for all but the most complex LLM tasks," Summerville said. Independent benchmarks increasingly support those assessments. On one closely watched benchmark measuring autonomous AI agent performance, GLM 5.2 finished within roughly one percentage point of Anthropic's Opus 4.8 while operating at around one-fifth of the cost. Some researchers have also reported that GLM 5.2 performs competitively with leading U.S. models on cybersecurity benchmarks, an area traditionally viewed as one of the most technically demanding applications of generative AI. Lindy's experience echoed those findings. Crivello said migrating to DeepSeek V4 improved performance across many of the company's core AI applications, demonstrating that lower cost did not necessarily require sacrificing capability. The rapid rise of Chinese AI is also complicating U.S. technology policy. As Washington considers tighter controls on advanced AI systems, Chinese open-source models remain widely accessible around the world. At the end of June, OpenAI delayed the rollout of a new family of models following requests from the U.S. government. During the same period, export restrictions affecting Anthropic's cybersecurity-focused Mythos and Fable models were lifted after months of negotiations between the company and the Trump administration. Those policy debates reflect broader concerns about maintaining U.S. leadership in artificial intelligence while limiting the international availability of the country's most advanced technologies. Yet some researchers warn that restricting American AI too aggressively could unintentionally strengthen overseas competitors. Yacine Jernite, Head of Machine Learning at Hugging Face, said businesses increasingly want AI systems that they can modify, deploy independently and control without relying entirely on commercial providers. "We're seeing companies increasingly motivated to turn to cheaper AI stacks they can control and adapt themselves, and given the state of open-source and open-weight models that often means leveraging Chinese options," Jernite told CNBC. He cautioned that enterprises could eventually face an uncomfortable choice. "There is a real risk that users get stuck having to choose between performant but expensive U.S. proprietary models whose price and accessibility can quickly fluctuate, or using Chinese models as the only feasible alternative whenever they want to control costs or own their AI stack." That tension highlights the next phase of the global AI race. While American companies continue to lead in developing the world's most advanced frontier models, Chinese developers are steadily narrowing the capability gap while competing aggressively on price. For businesses focused on controlling costs rather than on possessing the absolute best-performing AI, that combination is proving increasingly difficult to ignore.
UST ties up with Anthropic to deploy Claude for clients across sectors
UST will build specialised teams to deploy Claude, with support from Anthropic in the form of enablement, technical guidance and certification. | Image: Bloomberg UST has announced a partnership with Anthropic, under which the mid-tier IT services company will embed Claude into the engineering environments and operational workflows it designs, builds and runs for clients. The partnership is expected to help organisations move from isolated artificial intelligence (AI) pilots to trusted, enterprise-scale AI embedded in the systems that drive their businesses. 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. Some of the major sectors where Claude will be deployed include healthcare, telecom and banking. "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 operationalise AI-led decisions in a safe and secure environment," said Krishna Sudheendra, chief executive officer of UST. IT services players have been tying up with frontier model companies such as OpenAI and Anthropic not only to deploy the models in their ecosystems but also to help orchestrate workflows across their clients' business environments. Without integration and support, enterprise adoption of AI is expected to remain slow even as billions are being spent on AI infrastructure. Also Read AI-backed cyberattacks are exposing the limits of enterprise VPNs: Report Why AI-generated spam is becoming a bigger threat to online communities Enterprises are scaling AI while their systems and workforce lag behind DXC Technology's new centre puts India at the heart of its AI pushpremium India on Seiko's watch, to be among top 3 markets by end of 2026 As part of the alliance, UST will also certify 20,000 of its associates on Claude across roles ranging from architects and engineers to consultants, industry specialists and forward-deployed engineers who can work alongside client teams to think, build and solve problems every day. UST will build specialised teams to deploy Claude, with support from Anthropic in the form of enablement, technical guidance and certification. "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. More From This Section India must bridge regulatory gaps to unlock spices sector: ICRIER Isma rejects misinformation around E20, urges 'evidence-based' discussion ISMA calls E20 petrol safety concerns misleading, factually incorrect India's energy storage requirement to hit 888 GWh by 2035-36: Report LNG emerged as a reliable source of energy security amid West Asia warpremium
SpaceX Officially Joined the Nasdaq-100 and Received a $300 Price Target From Wall Street. Here's Why the Stock Is Falling Anyway.
On July 7, Space Exploration Technologies (NASDAQ: SPCX) joined the Nasdaq-100 -- which is the 100 largest non-financial companies by market cap listed on the Nasdaq stock exchange. It also received a $300 price target from Morgan Stanley, one of the Wall Street banks that underwrote SpaceX's initial public offering (IPO). Being a part of a major index is more than just name recognition. Exchange-traded funds (ETFs) benchmarked to the Nasdaq-100, such as the Invesco QQQ Trust (NASDAQ: QQQ), will begin buying shares of SpaceX. The more indexes a company can be a part of, the more demand is unlocked from ETF inflows -- the crown jewel being the S&P 500 (SNPINDEX: ^GSPC), because the largest ETFs in the world are linked to it. Where to invest $1,000 right now? Our analyst team just revealed what they believe are the 10 best stocks to buy right now, when you join Stock Advisor. See the stocks " Here's why SpaceX was added to the Nasdaq-100 so quickly, and why the growth stock is falling anyway. Image source: Getty Images. SpaceX will soon be a top holding in the Nasdaq-100 The Nasdaq's new fast-track rules are meant to expedite the inclusion of megacap companies that recently had IPOs. If a company is at least as valuable as the 40th-largest Nasdaq listing, which is a market cap of around $121 billion, it can now be added to the Nasdaq-100 after its 15th trading day. SpaceX has a market cap of around $2 trillion and is the world's seventh-most valuable company -- so it clears the size hurdle with ease. SpaceX went public on June 12, but markets were closed on Juneteenth (June 19) and July 3. So, it wasn't added to the Nasdaq-100 until over three weeks after its IPO. However, SpaceX's weight in the Nasdaq-100 isn't its market cap. Rather, it is based on a multiple of the float, which is the number of shares available for trading by the public. SpaceX's float is around just 5% of its market cap. But the float could increase rapidly in the coming months. The vast majority of SpaceX stock is held by insiders who bought in when the company was private -- including institutional investors from previous funding rounds, employees, and founders. SpaceX plans to gradually unlock early-release-eligible shares through a tiered system over the next 180 days, with 20% of shares available for trading two days after the release of its earnings for the quarter ended June 30, and up to 30% if SpaceX's stock price is at least $175.50 per share. More key unlocking events will occur throughout the summer and fall. And eventually, 100% of the early-release shares will be available for trading by Dec. 9 -- which is 180 days after the IPO date. Granted, not all insiders will sell their shares and make them available for trading on public markets. Elon Musk and other significant investors have agreed to hold shares for at least 366 days after May 20, the date of SpaceX's Form S-1 filing with the Securities and Exchange Commission. And many early founders still hold large positions in major tech companies, such as Musk in Tesla or Jeff Bezos in Amazon. Before the recently implemented fast-track process for larger IPOs, the Nasdaq-100 required a free float of at least 10%, meaning at least 10% of the company's shares are publicly tradable. SpaceX should cross that level even if a fraction of early-release-eligible shares are sold and made available on the Nasdaq in the coming months. If I had to guess, I'd expect SpaceX's weighting in the Nasdaq-100 to mirror its market cap by mid-August at the latest. The market is always evolving Once SpaceX is weighted by market cap, it will be a top-10 holding in the Nasdaq-100 and account for around 4% of the index. And as more blockbuster IPOs like Anthropic and OpenAI are fast-tracked into the index and reach the float requirements, they, too, could become key holdings. The rapid restructuring of the Nasdaq-100 has undoubtedly piqued the interest of index and ETF investors, especially those who regularly put their hard-earned savings to work in products benchmarked to the indexes. A common mistake investors will make is assuming that an index is diversified just because it contains hundreds or thousands of stocks. When in reality, the Nasdaq-100 and S&P 500 have become concentrated in a handful of names. And that concentration could increase as megacap IPOs are added. To stay even-keeled no matter what the market is doing, it's important to heed Peter Lynch's advice about knowing what you own and why you own it. That exercise is straightforward with individual stocks, where an investment thesis can anchor a key holding. But even for ETFs, it's worth recognizing some of the major themes and companies that will drive gains (or losses). By design, the major indexes can undergo drastic transformations as the economy evolves. A couple of decades ago, major oil companies, industrial conglomerates, and consumer goods companies dominated the largest S&P 500 and Dow Jones Industrial Average (DJINDICES: ^DJI) companies. But the tech sector now makes up a staggering 38% of the S&P 500. And Alphabet just replaced Verizon Communications in the Dow -- meaning that seven of the 30 Dow components have changed seats in the last six years. SpaceX will continue making waves on public markets SpaceX's growing share of the indexes and lofty price targets from Wall Street banks have more to do with market dynamics than SpaceX's investment thesis. The recent sell-off in the stock is likely due to fading enthusiasm as investors focus more on SpaceX's fundamentals -- which are shaky given its valuation is in the stratosphere. For the stock to be a good long-term buy for new investors, SpaceX needs to make progress on its bold plans to launch constellations of orbital artificial intelligence compute satellites and build the world's largest chip manufacturing plant in Texas in partnership with Tesla. Until that happens, SpaceX is best kept on a watch list. And investors who want to avoid the stock entirely may want to double-check that the ETFs they hold don't begin buying SpaceX, especially as its float increases in the coming months. Should you buy stock in Space Exploration Technologies right now? Before you buy stock in Space Exploration Technologies, 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 Space Exploration Technologies 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 $409,970!* Or when Nvidia made this list on April 15, 2005... if you invested $1,000 at the time of our recommendation, you'd have $1,200,223!* Now, it's worth noting Stock Advisor's total average return is 916% -- a market-crushing outperformance compared to 210% 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 July 8, 2026. Daniel Foelber has no position in any of the stocks mentioned. The Motley Fool has positions in and recommends Alphabet, Amazon, and Tesla. The Motley Fool recommends Verizon Communications. 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.
SpaceX joins Nasdaq-100 15 days after IPO
NEW YORK - SpaceX is expected to attract billions of dollars in passive investment inflows after officially joining the Nasdaq-100 Index on Tuesday (7 July). At the same time, several Wall Street brokerages have begun issuing positive recommendations on shares of Elon Musk's space company. According to Reuters, SpaceX shares fell as much as 1.2% in pre-market trading. Nevertheless, the company, which has a market capitalisation of more than US$2 trillion, took just 15 days after its stock market debut on 12 June to be included in the Nasdaq-100, making it one of the fastest index inclusions in history. SpaceX's inclusion in the Nasdaq-100 is expected to generate fresh demand for its shares, as index funds and exchange-traded funds (ETFs) tracking the Nasdaq-100 are required to purchase the stock to align their portfolios with the benchmark index. Active fund managers that track the index are also expected to rebalance their portfolios. More than US$587 billion in assets is currently managed by investment funds tracking the Nasdaq-100, including the Invesco QQQ and QQQM ETFs, which must now add SpaceX shares to their portfolios. JP Morgan previously estimated that SpaceX's inclusion in the Nasdaq-100 could attract around US$4.3 billion in passive investment inflows. The end of the post-IPO quiet period has also allowed the investment banks that underwrote SpaceX's initial public offering (IPO) to begin publishing research and investment recommendations on the stock. Morgan Stanley and Goldman Sachs both initiated coverage with their highest ratings. Morgan Stanley described SpaceX as the "final frontier of artificial intelligence (AI)", while Goldman Sachs said the company was well positioned to extend its leadership in the space, connectivity and AI sectors. Goldman Sachs analysts estimate that each of these sectors could grow into trillion-dollar markets over the next five years. RBC, Bernstein and Stifel also initiated coverage with positive recommendations, driven by optimism over the development of Starship, SpaceX's next-generation fully reusable rocket. "Starship is the flywheel that underpins all of SpaceX's ambitions," RBC analysts wrote. In June, Oppenheimer became the first brokerage to assign an outperform rating to SpaceX shares. However, not all analysts are optimistic. CFRA is the only brokerage to issue a sell recommendation. According to CFRA, SpaceX's current valuation relies too heavily on unproven projects, including Starship and AI company xAI, making the valuation overly aggressive given the significant execution risks and capital requirements. Last month, Morningstar estimated SpaceX's fair value at around US$780 billion, well below its current market capitalisation, citing continued uncertainty surrounding the company's AI business, including xAI and the X social media platform. Investors currently see SpaceX as having the potential to become a major AI infrastructure provider. The company's cash flow is expected to help fund the development of Grok to compete with OpenAI's GPT models and Anthropic's Claude. Meanwhile, Starlink is also seen as having substantial room for growth to strengthen its dominance in the satellite communications industry. At the same time, SpaceX's long-term outlook remains heavily dependent on the successful development of its next-generation Starship rocket. With a market capitalisation of approximately US$2.1 trillion, SpaceX is now the sixth-largest company in the United States, while Chief Executive Elon Musk has become the world's first trillionaire. Last month, FTSE Russell added SpaceX shares to its US equity indices. However, S&P Global has not adopted a similar fast-track inclusion mechanism for the S&P 500, meaning SpaceX is not expected to join that index for at least another year. Since its stock market debut, SpaceX shares have gained more than 6%, although trading has remained volatile in the wake of its IPO. (ARF/LM)
Massive SpaceX IPO minted thousands of millionaires -- and left financial advisors with a blueprint for the next mega offer | Mint
Summary With OpenAI and Anthropic waiting in the wings to go public, pre-IPO wealth planning is suddenly urgent. It's estimated that the SpaceX IPO created more than 4,000 millionaires That is roughly 20% of the employee base. And SpaceX, which joined the Nasdaq 100 index on Tuesday, is not likely to be the only mega IPO this year. OpenAI and Anthropic have confidentially filed S-1s for their own offerings. These massive transactions will certainly boost property values in areas like Silicon Valley and south Texas. But they will also boost demand for financial and tax planning advice. Let's see how advisors can help: Planning ahead. It's best when advisors can provide advice before a company goes public. Planning can be helpful in evaluating tax strategies, estate planning, charitable giving, liquidity analysis, and the timing for option exercises. "The biggest mistake is assuming the planning starts after the stock begins trading," says Mark Stancato, a certified financial planner for VIP Wealth Advisors. "In reality, the most important decisions are often made beforehand." Option education. An advisor can help educate the client about various types of equity compensation. This is a specialized area of financial planning and advisors who like the intricacies, might want to consider developing a niche. But it requires keeping up with evolving rules, regulations and tax treatments. Here's a quick rundown of the basics: Options: These allow the client to purchase a certain number of a company's shares at a fixed price, which usually involves a vesting schedule. For example, suppose Mary joins a private company and is granted an option to buy 10,000 shares at a price of $100 per share. The shares vest equally (2,500 shares) each year, which is when she can exercise the option or make a purchase.Restricted Stock Units (RSUs): This is where a company promises to transfer shares to the client, based on conditions or vesting. To continue with the example with Mary, she would receive 2,500 shares each year, assuming there is a four-year vesting schedule.Restricted stock: These shares are similar to RSUs. The main difference is that the company will transfer the stock to the client today, but they will not get actual ownership until conditions or vesting terms are met. If the client leaves before certain dates, the company will usually repurchase the unvested shares. Tax strategy. With RSUs, there is no tax on the grant. But there are ordinary taxes on the fair market value of the shares at the time of vesting. This treatment is the same for restricted stock. There is a strategy that may reduce the taxes owed. It's called an 83(b) election. This means that the client can recognize the income when they receive the shares, when the valuation is likely to be low. If they then sell the shares more than a year later, they will be eligible for long-term capital gains tax treatment. But the client must make the 83(b) election within 30 days of receiving the restricted stock, illustrating the benefit of planning in advance. It's important to understand that this strategy can be risky. If the startup fails, then the client will have paid taxes on stock that ultimately became worthless. Avoiding AMT. With stock options, the taxes depend on the type of the option. One type is nonqualified stock options. The gains are taxed as ordinary income when they are exercised. Another type is incentive stock options (ISOs), which are available only to employees. There is favorable tax treatment if the shares are held for at least two years from the option grant date and at least one year from the exercise date. If these requirements are satisfied, the gain may qualify for long-term capital gains treatment when the shares are eventually sold. Again, clients still need to be cautious. "ISOs can trigger the alternative minimum tax on exercise, and that's where clients often get blindsided," said Jeff Judge, who is a managing partner at Chesapeake Financial Planners. AMT exposure is not necessarily bad. But it does require tax expertise and careful planning. An advisor needs to evaluate the timing of the exercise, the client's income, the size of the spread (the fair market value minus the shares purchased at the exercise price), and the potential liquidity risk. This is especially important with pre-IPO shares because the client may face a tax bill before having an easy way to sell the stock to pay the taxes. Concentration risk. This is often the case with most clients who receive equity compensation. But high-flying stocks can suddenly go cold. A cautionary example is Figma, a graphic design software company. In the summer of 2025, the company launched its IPO, with the shares surging 250% to $111.50 on the first day of trading. Unfortunately, the company suffered challenges in dealing with the potential disruption from AI rivals. The result: the stock now trades at $20. Of course, diversification can protect clients from concentration risk, allowing them to lock in gains, reduce volatility, and avoid having their financial future depend too heavily on a single company's stock. But advisors may find it difficult to convince clients to sell company shares. "Most employees who watched a company grow have enormous attachment to the stock," says Judge. "The conversation I have with clients is this: Concentration got you here, diversification keeps you here." He recommends advisors construct a systematic sale plan over multiple years. That, combined with charitable giving strategies, he explains, "reduces both the tax bite and the resistance to selling." Tom Taulli is the CEO and founder of CorvEquity, which helps startups manage cap tables and option plans. He is also the author of The Personal Finance Guide for Tech Professionals: Building, Protecting, and Transferring Your Wealth and a former broker.
Anthropic Expands in Manhattan, Part of an A.I. Boom in New York
Anthropic, the artificial intelligence company, plans to announce on Tuesday that it will lease a 16-story office building in Lower Manhattan as the company moves to double its work force in New York City to 1,000 people this year. The move into a renovated building at 330 Hudson Street in the Hudson Square neighborhood is part of a major expansion of A.I. companies in New York City. Anthropic, the company behind the chatbot Claude, said that its New York office was already its largest outside its San Francisco headquarters and that the new space had room for more than 1,700 desks. The move is expected to start this summer. Mayor Zohran Mamdani's administration praised the expansion, as did Gov. Kathy Hochul, who said in a statement that it would "cement New York City as a world-class technology hub." Artificial intelligence companies have been adding office space in New York City and going on a hiring spree, even as some elected officials have raised concerns about the technology and how it could displace white-collar workers. Thomas P. DiNapoli, the state comptroller, said recently that he was worried about the disruption A.I. could bring, warning that it could "damage the quality and productivity of a company's work force and, more broadly, add to the large-scale instability of the economy." OpenAI, whose ChatGPT chatbot started the A.I. boom in 2022, announced its move into the Puck Building, less than a mile from Anthropic's new office, in 2024. Harvey, an A.I. start-up for the legal industry, expanded its office at One Madison Avenue in Midtown Manhattan earlier this year. Anthropic's expansion is a further sign of the evolution of artificial intelligence as the technology matures and moves into the economic mainstream. Big A.I. companies are increasingly extending their focus beyond building new software models to pushing other industries to adopt the technology. And New York is home to some of the nation's largest technology customers in finance, health care, consulting, law, media and culture. "New York is a great place for an A.I. company to work and do business," said Mark Muro, a senior fellow at Brookings Metro, a division of the Brookings Institution. Mr. Muro was a co-author of a Brookings report last year that found New York to be a leader among U.S. metro areas in "A.I. readiness," a broad measurement of the capacity to both produce A.I. and adopt it. Chris Lehane, the chief global affairs officer for OpenAI, said in a statement that the company had 90,000 square feet of office space in New York City and would keep expanding. He said the city was a "global hub for A.I." because of its "A.I. talent density, inherent entrepreneurship and the policy leadership from its elected officials." Mr. Mamdani, a democratic socialist, has had a frosty relationship with business leaders over his calls to tax the rich, and has moved to win them over. He has also faced criticism for not yet releasing a detailed plan to address the city's slowing job growth. Jeanny Pak, the interim president of the city's Economic Development Corporation under Mr. Mamdani, said that Anthropic's move would "create hundreds of jobs for New Yorkers, strengthening equitable pathways to economic opportunities and reinforcing that companies continue to choose New York City." New York now has far more tech talent than in the past. Two decades ago, when a computer scientist at Google wanted to create an engineering team in New York, the Silicon Valley company's leaders were skeptical. They told him he could go ahead, but only if could find 15 "Google-worthy" software developers in the city. Today Google employs thousands of engineers in New York. A.I. companies are hiring at a time when young people in particular are having a hard time getting jobs. Anthropic's website has dozens of openings listed in New York. Many of them are in engineering and sales and on the company's legal and marketing teams. Julie Samuels, president of Tech:NYC, a nonprofit industry group, acknowledged that the most advanced A.I. software was still designed primarily in the Bay Area. "But when it comes to how to use the technology in practice, what works and what doesn't in business, they come here," she said. "That's where we are now." Still, many New Yorkers have concerns about A.I., particularly in the progressive circles Mr. Mamdani comes from. Some parents in the city are fighting the use of the technology in public schools. And the debate permeated a congressional primary campaign in Manhattan: Super PACs aligned with A.I. companies spent heavily both for and against one of the Democratic candidates, Alex Bores, who has sought to regulate the industry. (Mr. Bores lost the election last month to Micah Lasher, a fellow state assemblyman.) State lawmakers in New York recently approved a one-year moratorium on new large-scale data centers that power A.I., citing concerns about energy consumption and environmental effects. But Ms. Hochul, a moderate Democrat who is friendly with business leaders, has signaled that she might veto the legislation. Anthropic, which filed last month for an initial public offering, is planning to build a data center in upstate New York with a company called Fluidstack as part of a $50 billion investment in American data centers. A.I. companies have hired veterans of New York City government to help them navigate the city's thorny political landscape. Maxwell Young, a former adviser to Mayor Eric Adams, joined Anthropic in November as the head of policy communications. Peter Ragone, a top adviser to former Mayor Bill de Blasio and to Gov. Gavin Newsom of California, is working for OpenAI. Mark Levine, the city comptroller, released a report in May warning about the impact A.I. could have on jobs in New York City. He called on Mr. Mamdani to outline a vision for making sure that the city benefits from the industry's growth. "We should be the capital of applied A.I., and a more concerted strategy to make that happen is absolutely needed," Mr. Levine said in an interview. The post Anthropic Expands in Manhattan, Part of an A.I. Boom in New York appeared first on New York Times.
Zoom: Buying Before The Market Prices In The Anthropic Stake (NASDAQ:ZM) | Seeking Alpha
Valuation implies a solid margin of safety, with DCF-derived fair value at $94.21/share, excluding potential Anthropic IPO upside. The first time I covered Zoom Communications (ZM), highlighting the company's exceptional financial position and significant expansion potential into a diversified work platform, as well as a small Anthropic ( I've been researching companies in-depth for over a decade, from commodities like oil, natural gas, gold and copper to tech like Google or Nokia and many emerging market stocks, which I believe could help me provide useful content for readers. After writing my own blog for about 3 years, I decided to switch to a value investing-focused YouTube channel, where I researched hundreds of different companies so far. I would say my favorite type of company to cover are metals and mining stocks, but I am comfortable with several other industries, such as consumer discretionary/staples, REITs and utilities. Analyst's Disclosure: I/we have no stock, option or similar derivative position in any of the companies mentioned, but may initiate a beneficial Long position through a purchase of the stock, or the purchase of call options or similar derivatives in ZM over the next 72 hours. I wrote this article myself, and it expresses my own opinions. I am not receiving compensation for it (other than from Seeking Alpha). I have no business relationship with any company whose stock is mentioned in this article. Seeking Alpha's Disclosure: Past performance is no guarantee of future results. No recommendation or advice is being given as to whether any investment is suitable for a particular investor. Any views or opinions expressed above may not reflect those of Seeking Alpha as a whole. Seeking Alpha is not a licensed securities dealer, broker or US investment adviser or investment bank. Our analysts are third party authors that include both professional investors and individual investors who may not be licensed or certified by any institute or regulatory body.
AI company Anthropic plans to open data center in Kentucky
An artificial intelligence company has plans to open a data center in Kentucky.TeraWulf announced on Monday that it signed a lease with Anthropic, an AI safety and research company, at its Justified Data campus in Hawesville, Kentucky. Hawesville is about an hour and a half southwest of Louisville.The lease Anthropic signed is for 20 years and is expected to generate $19 billion of contracted revenue."The Anthropic lease validates our strategy and establishes a long-duration revenue stream with one of the world's leading AI companies. The lease provides approximately $19 billion of contracted lease revenue over its initial term, creates a framework for future expansion, and demonstrates the value of our ability to source power, develop infrastructure, and secure long-term customer commitments," said TeraWulf CEO Paul Prager in a statement.The Kentucky campus will be home to approximately 401 megawatts of IT load and will be developed in multiple phases. It is expected to reach full capacity by early 2028. Anthropic was founded in 2021 and is best known for its AI chatbot Claude. An artificial intelligence company has plans to open a data center in Kentucky. TeraWulf announced on Monday that it signed a lease with Anthropic, an AI safety and research company, at its Justified Data campus in Hawesville, Kentucky. Hawesville is about an hour and a half southwest of Louisville. The lease Anthropic signed is for 20 years and is expected to generate $19 billion of contracted revenue. "The Anthropic lease validates our strategy and establishes a long-duration revenue stream with one of the world's leading AI companies. The lease provides approximately $19 billion of contracted lease revenue over its initial term, creates a framework for future expansion, and demonstrates the value of our ability to source power, develop infrastructure, and secure long-term customer commitments," said TeraWulf CEO Paul Prager in a statement. The Kentucky campus will be home to approximately 401 megawatts of IT load and will be developed in multiple phases. It is expected to reach full capacity by early 2028. Anthropic was founded in 2021 and is best known for its AI chatbot Claude.
Microsoft (MSFT) Stock Gains on Swapping Out OpenAI and Anthropic for Its Own AI Models
Microsoft (MSFT) is starting to use more of its own AI inside key apps such as Excel and Outlook as it aims to cut costs and rely less on outside labs, Bloomberg reported. The company has begun routing several weekly prompts in those apps through its in‑house MAI models instead of OpenAI or Anthropic. Following the news, MSFT stock was up 1.3% on Tuesday. 4th of July Sale - 70% Off * Unlock powerful investing tools and data-driven insights with TipRanks Premium for more confident investment decisions. * Discover top stock picks and new investment opportunities through TipRanks' Smart Investor Newsletter. The shift is still small compared with Microsoft's overall AI use, but it shows the company is making progress on building cheaper, competitive models. At its Build conference in June, Microsoft rolled out seven new MAI models, including one it says can match the coding skills of Anthropic's popular Opus 4.6 model at a lower cost. MAI models are also being used inside GitHub Copilot, and Microsoft plans to bring its own transcription model to Teams and other apps in the coming months. Microsoft burns huge amounts of AI tokens to power tools like Copilot, and its long‑time deal with OpenAI currently gives it discounted access. But that deal will not last forever, and MSFT is working to make sure it is not stuck paying whatever top labs choose to charge down the road. Microsoft's Long‑Term AI Cost Strategy Microsoft is pushing hard to cut its long‑term AI costs as model sizes grow and computing needs explode. A major part of this plan is building its own custom chips like the Maia 200 to lower the cost of running AI models in production. By using these in-house chips for internal AI operations and Copilot products, Microsoft reduces its heavy financial reliance on Nvidia (NVDA). Further, it has put a limit on how much their own engineers can use internal AI tools to avoid wasted tokens and rising internal bills. Overall, the company's goal is to ensure end-to-end integration across the stack. Microsoft is using its Azure cloud to host models and run cloud computing services for other top labs. Is Microsoft a Buy or Sell? Currently, Wall Street has a Strong Buy consensus rating on Microsoft stock based on 36 Buys and one Hold. The average MSFT stock price target of $563.62 indicates an upside potential of 43.93%.
Analysts Raise TeraWulf (WULF) Stock Price Targets Thanks to a $19 Billion Anthropic Deal
TeraWulf (WULF) stock received a wave of analyst updates after the company revealed a $19 billion deal with Anthropic on Monday. This is a lease agreement that will see Anthropic lease a data center from the digital infrastructure company's Justified Data site in Hawesville, Kentucky. This news was well received by investors, which resulted in major gains for WULF stock yesterday. Now, analysts are following that news up with price target increases and Buy ratings. 4th of July Sale - 70% Off * Unlock powerful investing tools and data-driven insights with TipRanks Premium for more confident investment decisions. * Discover top stock picks and new investment opportunities through TipRanks' Smart Investor Newsletter. What Are the Biggest Analyst Price Target Increases for WULF Stock? Three analysts have increased their price targets for TeraWulf stock in light of the Anthropic deal. That includes: * Four-star ATB Cormark Capital analyst Martin Toner, who increased his price target to $51 from $46, representing a 146.91% upside. * Five-star Rosenblatt Securities analyst Chris Brendler, who boosted his price target to $30 from $27, suggesting a 45.24% upside. * Five-star Needham analyst John Todaro, who raised his price target to $33 from $28, implying a 59.77% upside. Toner listed the Anthropic lease deal as a major reason for his price target increase on TeraWulf stock. He also highlighted the majority sale of the company's Abernathy site to a Fluidstack-led group as another win. The analyst claimed this transaction unlocks significant capital while streamlining the company's portfolio. TeraWulf Stock Movement Today TeraWulf stock was down 7.7% on Tuesday, as the stock settled after yesterday's rally. Even with this drop, the stock has still rallied 78.24% year-to-date and 360.79% over the past 12 months. With today's analyst updates in mind, some investors may view this as a buying opportunity for WULF stock. WULF stock trading activity today was elevated, as some 35 million shares changed hands. For perspective, the company's three-month average daily trading volume was about 27.19 million shares. Is TeraWulf Stock a Buy, Sell, or Hold? Turning to Wall Street, the analysts' consensus rating for TeraWulf is Strong Buy, based on 16 Buy ratings over the past three months. With that comes an average WULF stock price target of $37.50, suggesting a possible 83.37% upside for the shares. (See WULF Stock's Full Forecast)
Anthropic expands in New York City with massive 466,000 sq ft office lease
The Claude AI maker is taking over an entire 16-story building in Lower Manhattan, signaling aggressive growth that intersects with crypto-adjacent infrastructure deals Anthropic, the AI company behind the Claude model, is leasing an entire 16-story building at 330 Hudson Street in Lower Manhattan. The deal covers roughly 466,000 square feet of office space, a staggering 30x increase from the company's current New York footprint. For context, Anthropic currently occupies about 15,500 square feet at 155 Avenue of the Americas, a space it leased in 2024. The current lease at 155 Avenue of the Americas has a potential expiration approaching in 2026, making the timing of this deal practical as much as aspirational. From startup footprint to tech giant ambitions Anthropic had been shopping for between 250,000 and 450,000 square feet of Manhattan office space since as early as January 2026. Landing at the top end of that range tells you something about how quickly the company's ambitions scaled during the search process. The company plans to double its New York workforce as part of the move, as confirmed in a July 7, 2026 report by the New York Times. The TeraWulf connection and why crypto investors should pay attention Anthropic recently signed a separate $19 billion, 20-year lease agreement with TeraWulf for AI data center infrastructure in Kentucky. TeraWulf started life as a Bitcoin mining company. It built out substantial power infrastructure and data center capacity to mine cryptocurrency, then increasingly pivoted toward hosting AI workloads as the economics shifted. The company essentially realized that the same cheap power and cooling infrastructure that makes Bitcoin mining profitable also makes it ideal for running the massive GPU clusters that AI companies need. The risk is concentration. A $19 billion, 20-year commitment to a single tenant means TeraWulf's fortunes are now deeply tied to Anthropic's success. Investors should watch whether TeraWulf maintains a balanced portfolio of AI and crypto mining clients or becomes overly dependent on one relationship.
