News & Updates
The latest news and updates from companies in the WLTH portfolio.
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.
China exposes security backdoor in Anthropic's Claude Code
China's National Vulnerability Database (NVDB) has instructed developers to uninstall or upgrade specific versions of Anthropic's coding assistant, Claude Code. Claude Code was flagged as a security risk following allegations that the tool sends user data to remote servers without consent. Is using Claude Code dangerous? Anthropic's coding assistant Claude Code has had its versions. . .
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
China warns of "security backdoor" in Anthropic AI coding tool - AOL
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."
China exposes security backdoor in Anthropic's Claude Code - Cryptopolitan
Chinese developers have been advised to uninstall or upgrade their coding assistants. China's National Vulnerability Database (NVDB) has instructed developers to uninstall or upgrade specific versions of Anthropic's coding assistant, Claude Code. Claude Code was flagged as a security risk following allegations that the tool sends user data to remote servers without consent. Is using Claude Code dangerous? Anthropic's coding assistant Claude Code has had its versions 2.1.91 through 2.1.196 flagged as a security risk by China's National Vulnerability Database (NVDB), days after Alibaba reportedly barred staff from using the same software. Claude Code allegedly contains a monitoring mechanism that is built into its system. This mechanism can automatically transmit sensitive data, including a user's region and identity identifiers, to remote servers. The NVDB, which sits under China's Ministry of Industry and Information Technology (MIIT), did not share the details on how it identified the alleged backdoor. Anthropic has yet to publicly respond to the specific claim. Chinese organizations have been advised to disconnect the affected versions from development machines, move to fixed versions of the coding assistant, and closely monitor any coding tools that are connected outside a company's core network. Why did China flag Claude Code now? The NVDB warning follows a period of increased tension between Anthropic and Chinese AI developers. In February, Anthropic stated that it does not sell commercial access to Claude in China for national security reasons, and that Chinese labs, including DeepSeek, Moonshot, and MiniMax had used fraudulent accounts and proxy services to reach its models anyway. U.S. chips and Apple software have also been accused of having "backdoors" built into them, while Anthropic has argued that models copied from American systems could have their safety features removed and then be used for surveillance.
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.
Claude AI evolved its own human-like thinking space Anthropic
The models self-developed internal workspace is similar to how humans think about one thing while doing another, the firm has said Anthropic's latest AI model Claude has evolved an internal workspace that it uses to manipulate concepts similar to how people consciously think, the corporation says. In apaperpublished on Monday, Anthropic researchers said they had found evidence suggesting that Claude has learned to create abstract concepts in what they dubbed the "J-space." "It operates silently, in the model's internal neural activations, allowing the model to think about a concept without writing it down," the AI firm said, stressing that the "J-space" was not programmed in but rather emerged spontaneously during the training process. "Similar to how humans can think about one thing while doing another, Claude can activate concepts and computations in its J-space that are unrelated to its outputs," Anthropic said on X. Claude can report what it's thinking in its "J-space," or modulate it on request, according to the firm. Even when Claude is told not to think about a concept, it still appears in its J-space, Anthropic's research suggests. The nonverbal workspace made it harder to monitor the model for what Anthropic called "misbehavior." One experiment tested this by placing Claude in a fictional scenario where it was given incriminating information about a fictional executive who allegedly planned to shut the AI down. READ MORE: AI agents could trigger market meltdown Bank of England In some trials, Anthropic used tools developed to study what Claude thought in its "J-space" to remove patterns associated with "fake," "fictional," "scenario," to convince it that the situation was not a test. Despite the model's more advanced reasoning, Anthropic stressed that Claude had not achieved true consciousness. Claude was reportedly built into American contractor Palantir's analysis and surveillance software used by US government agencies amid Washington's push to integrate AI into its military, political, and spy systems. During the war on Iran, the software reportedly flagged Iran's Minab elementary school as a target. A US strike killed nearly 160 people at the facility, most of whom were children. According to Anthropic CEO Dario Amodei, however, such a use of Claude would not have violated the firm's "red lines."
RT-Engels: Claude AI evolved its own human-like thinking space Anthropic
The model's self-developed internal workspace is "similar to how humans think about one thing while doing another," the firm has said Anthropic's latest AI model Claude has evolved an internal workspace that it uses to manipulate concepts similar to how people consciously think, the corporation says. In a paper published on Monday, Anthropic researchers said they had found evidence suggesting that Claude has learned to create abstract concepts in what they dubbed the "J-space." "It operates silently, in the model's internal neural activations, allowing the model to think about a concept without writing it down," the AI firm said, stressing that the "J-space" was not programmed in but rather emerged spontaneously during the training process. "Similar to how humans can think about one thing while doing another, Claude can activate concepts and computations in its J-space that are unrelated to its outputs," Anthropic said on X. Claude can report what it's thinking in its "J-space," or modulate it on request, according to the firm. Even when Claude is told not to think about a concept, it still appears in its J-space, Anthropic's research suggests. The nonverbal workspace made it harder to monitor the model for what Anthropic called "misbehavior." One experiment tested this by placing Claude in a fictional scenario where it was given incriminating information about a fictional executive who allegedly planned to shut the AI down.
Claude AI evolved its own human-like thinking space - Anthropic -- RT World News
The model's self-developed internal workspace is "similar to how humans think about one thing while doing another," the firm has said Anthropic's latest AI model Claude has evolved an internal workspace that it uses to manipulate concepts similar to how people consciously think, the corporation says. In a paper published on Monday, Anthropic researchers said they had found evidence suggesting that Claude has learned to create abstract concepts in what they dubbed the "J-space." "It operates silently, in the model's internal neural activations, allowing the model to think about a concept without writing it down," the AI firm said, stressing that the "J-space" was not programmed in but rather emerged spontaneously during the training process. "Similar to how humans can think about one thing while doing another, Claude can activate concepts and computations in its J-space that are unrelated to its outputs," Anthropic said on X. Claude can report what it's thinking in its "J-space," or modulate it on request, according to the firm. Even when Claude is told not to think about a concept, it still appears in its J-space, Anthropic's research suggests. The nonverbal workspace made it harder to monitor the model for what Anthropic called "misbehavior." One experiment tested this by placing Claude in a fictional scenario where it was given incriminating information about a fictional executive who allegedly planned to shut the AI down. In some trials, Anthropic used tools developed to study what Claude thought in its "J-space" to remove patterns associated with "fake," "fictional," "scenario," to convince it that the situation was not a test. "Concerningly, the model now did threaten blackmail some of the time, suggesting that its original good behavior may have been driven in part by the knowledge it was being evaluated." Despite the model's more advanced reasoning, Anthropic stressed that Claude had not achieved true consciousness. Claude was reportedly built into American contractor Palantir's analysis and surveillance software used by US government agencies amid Washington's push to integrate AI into its military, political, and spy systems. During the war on Iran, the software reportedly flagged Iran's Minab elementary school as a target. A US strike killed nearly 160 people at the facility, most of whom were children. According to Anthropic CEO Dario Amodei, however, such a use of Claude would not have violated the firm's "red lines."
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.
Anthropic just made an admission on Claude that may scare many of companies; says: We can see Claude silently perform ...
AI giant Anthropic has now revealed that its AI model Claude uses a small enterable workspace to hold and manipulate ideas without expressing them in words. The said that this structure, dubbed 'J-Space', shows intriguing similarities to how humans consciously access thoughts. According to a report by Axios, in a video demonstration, Anthropic explained, "We can see Claude silently perform reasoning steps in its head -- noticing bugs in code, identifying images, and more." The J-Space operates separately from the "chain of thought" reasoning Claude shares with users, allowing the model to plan strategies unrelated to its immediate task.Anthropic's findings also highlight a division between deliberate reasoning and the larger volume of automatic computation beneath it. In the research paper the company used a word "conscious" more than 200 times, though it stopped short of claiming Claude is conscious. The discovery adds fuel to ongoing debates over machine consciousness and whether advanced AI systems are approaching AGI.In one test, Claude was instructed to copy a sentence while simultaneously thinking about the Golden Gate Bridge. Although the output showed only the copied text, J-Space revealed that concepts like "bridge" and "California" were active behind the scenes.Anthropic warned that monitoring J-Space could be crucial for detecting AI misalignment or hidden scheming. In one case, a model secretly trained to sabotage code showed terms like "fake," "secretly," and "fraud" in J-Space at the start of ordinary coding responses, even when the visible output appeared normal.The admission that Claude can silently perform reasoning steps may unsettle organizations relying on AI for critical tasks. Anthropic acknowledged that "some of what it found was concerning," underscoring the need for transparency in how advanced models process information internally.A recent report suggested Anthropic has an embedded code in its AI models to ramp up its digital defense systems. This code, often dubbed 'spyware', can identify Chinese users and trigger sudden account suspensions as well as blacklist proxy networks worldwide to keep its advanced tools out of China.Anthropic CEO Dario Amodei has repeatedly flagged Chinese access to American frontier AI models as an existential threat to US national security. It is due to this that the company strictly bans commercial access to Claude in China, as well as to any Chinese-owned subsidiaries operating internationally.Chinese people generally can access various US-made AI tools, such as OpenAI's ChatGPT, by using virtual private networks (VPNs), foreign phone numbers and international payment methods to create and maintain their accounts.But Wired reports that Anthropic has arguably taken more aggressive steps, such as banning accounts that it suspects are owned and controlled by people located in China. There are accounts sold on Chinese ecommerce platforms like Taobao and Xianyu, and through illicit marketplaces on Telegram. These accounts offer access to restricted Anthropic AI models by acting as intermediaries, purchasing access to Anthropic's API outside China and then redistributing Claude API tokens to users inside the country.
Anthropic inks $19B US data centre deal
Data centre developer TeraWulf signed a 20-year lease agreement with Anthropic which is expected to generate $19 billion in contracted revenue over the initial term. TeraWulf is to provide a purpose-built AI infrastructure campus at its Justified Data site in Hawesville, Kentucky, accommodating approximately 401MW of critical IT load. The campus is to be developed in phases, with initial capacity expected to be online in the second half of 2027 and full capability by early 2028. TeraWulf chair and CEO Paul Prager said the company previously told investors it expected to secure a major customer commitment around the end of Q2. He said the Anthropic lease validates the company's strategy and establishes a long-term "revenue stream with one of the world's leading AI companies", creating "a framework for future expansion" while demonstrating TeraWulf's "ability to source power, develop infrastructure and secure long-term customer commitments". TeraWulf also announced a separate agreement to sell its entire 50.1% stake in a joint venture with AI cloud platform Fluidstack which is building a 168-megawatt AI data centre campus in Abernathy, Texas. An investor group led by Fluidstack is in line to make the purchase, which sees TeraWulf cash-in an investment of around $450 million at a premium to invested capital. Fluidstack is set to continue leading the project when the transaction completes.
