News & Updates
The latest news and updates from companies in the WLTH portfolio.
Nvidia (NVDA) Stock Faces Scrutiny Over $35B Anthropic-Lambda Cloud Partnership
* A massive $35 billion cloud computing agreement between Anthropic and Lambda involves multiple Nvidia connections, including investments, hardware, and data center leasing * Company leadership disputes "circular financing" accusations while maintaining silence on specific financial arrangements * Shares of NVDA started trading at $220.60, declining 1.1% during Tuesday's premarket session * The chip giant delivered Q2 sales of $96.22 billion, representing a 105.9% year-over-year surge and surpassing projections * Major institutional players including State Street, Geode Capital, and Norges Bank have been accumulating positions A new business arrangement involving Nvidia has triggered questions across Wall Street. The AI company Anthropic recently finalized a $35 billion cloud computing partnership with Lambda, a cloud infrastructure provider that counts Nvidia among its investors. The computing facility underlying this agreement is actually under lease to Nvidia, obtained from data center operator Hut 8. And what powers that facility? Nvidia's semiconductor technology. NVIDIA Corporation, NVDA Adding another layer, Nvidia holds an equity stake in Anthropic. In essence, an AI firm with Nvidia backing is purchasing computing resources from a cloud company with Nvidia backing, utilizing infrastructure leased by Nvidia and equipped with Nvidia processors. This complex structure has reignited discussions about potential "circular financing" practices. Company leadership rejected this characterization during their latest quarterly earnings discussion, though Nvidia hasn't disclosed key details about the arrangement, such as Lambda's payment structure for the data center space or whether revenue from the Anthropic agreement flows back to Nvidia. The company declined to issue a statement before Tuesday's early trading, when NVDA shares declined 1.1% to open at $220.60. A Growing Network of Strategic Bets This transaction fits within a broader pattern. The semiconductor giant has assembled an extensive investment footprint spanning the artificial intelligence landscape. Recent positions or agreements encompass Corning, Marvell Technology, Lumentum, Coherent, CoreWeave, Nebius, Synopsys, Nokia, MediaTek, Intel, and SpaceX, alongside numerous smaller private enterprises. The approach seems intentional: secure sustained demand for its chip technology while capturing growth potential from its customers. The company also revealed a $3.5 billion commitment to MediaTek, deepening collaboration across data center infrastructure, edge computing platforms, and automotive intelligence systems. ARK Invest acquired approximately $53 million in NVDA shares after a post-earnings pullback, demonstrating persistent conviction from a prominent growth-focused investor. Wall Street analysts have been adjusting their outlooks upward. Needham elevated its price objective to $300 alongside a buy recommendation. Argus moved to $270, maintaining a buy stance. Goldman Sachs held its neutral position but increased its target to $300. The average analyst target stands at $324.23, with 50 of 55 monitored analysts maintaining buy or strong buy recommendations. Impressive Results, But Challenges Loom The company's latest quarterly performance was undeniably robust. Nvidia reported $96.22 billion in total revenue, representing a 105.9% year-over-year increase, alongside earnings per share of $2.22, exceeding the $2.09 consensus forecast. Net profit margin reached 63.66%, while return on equity hit 96.04%. Management also authorized an $80 billion share repurchase authorization in May and announced a quarterly cash dividend of $0.25 per share, scheduled for October 1 distribution to shareholders recorded as of September 10. However, supply chain constraints are intensifying. Shortages in memory modules, networking equipment, optical components, power infrastructure, and copper materials are creating potential headwinds. Rising component expenses could pressure gross profitability metrics despite demand continuing to outpace available supply. An internal initiative that would have enabled Nvidia to participate in cloud service revenues from previously sold hardware also attracted scrutiny, reportedly discontinued due to potential antitrust complications. Company executives have divested $299 million in shares during the past 90 days. NVDA's twelve-month price range extends from $164.07 to $236.54.
Hut 8 Rises on Anthropic's $35 Billion Lambda Deal
This article first appeared on GuruFocus. Hut 8 (NASDAQ:HUT) rose 2.21% premarket after Reuters reported that Anthropic signed a $35 billion cloud computing deal with Lambda, an Nvidia (NASDAQ:NVDA) backed cloud provider, for capacity at a Texas data center Hut 8 is developing. The site covers about 350 megawatts, according to a person familiar with the matter. Nvidia was down 1.24%. Nvidia would hold the lease on the data center. Hut 8, a bitcoin miner that has moved into AI infrastructure, said in July it had signed a 15-year lease with an unnamed investment-grade customer worth $19.6 billion over the base term, and later Nvidia was identified as the tenant at the company's 1-gigawatt Beacon Point campus. Anthropic said last week it would spend $45 billion renting compute from Nscale's West Virginia campus. The Lambda capacity is meant to serve demand for its Claude products, including the Claude Code tool, ahead of a planned listing.
Anthropic AI watermarking: What it means for content and SEO
Confused by the AI watermark debate? Cut through the noise with a clear look at what Claude changed, why it matters, and what's being missed. On Aug. 11, Anthropic announced it would begin adding machine-readable watermarks to Claude's outputs. The reaction was immediate and predictable. LinkedIn and X filled with the usual takes: * "All AI writing is now fully traceable!" * "This is the death knell for AI content farms!" * "SEO is dead. Again." Sensing the uproar, Anthropic quickly followed up with a blog post, FAQs, and a technical demo showing that the watermark had no practical effect on output quality. A few days later, Dario Amodei posted on X about AI's broader crisis of trust, arguing that the public's skepticism runs deeper than any one company's messaging. The technical explanations were clear. The demo was impressive. Yet public reaction remained largely negative. In this article, I want to separate the hype from the reality and explore why what appeared to be a straightforward regulatory compliance announcement may instead become a flash point dividing the Eloi who embrace AI from the Morlocks who oppose it. A quick history of watermarking Craftspeople have marked their work for centuries. In 1266, the English Parliament required bakers to use distinctive marks on their bread. By 1282, papermakers in Fabriano, Italy, were creating translucent watermarks with wire molds embedded in the paper. The principle was simple: this is someone's work, and the maker should be identifiable. In the digital era, stock image libraries adopted the same idea. You've seen Shutterstock's repeating patterns and Getty Images' overlays stamped across preview images. The goal was the same: identify the original creator and discourage unauthorized use. The EU rule Anthropic is answering Anthropic's decision is a direct response to Article 50(2) of the EU AI Act (Regulation 2024/1689). The provision requires providers of systems that generate synthetic text, images, audio, or video to mark those outputs in a machine-readable format so they can be detected as artificially generated or manipulated. The technical measures must be effective, interoperable, robust, and reliable, "as far as this is technically feasible." That final phrase carries significant weight. It's not a precise legal standard. To give companies a practical compliance path, the EU published a Voluntary Code of Practice on Transparency of AI-Generated Content. Most major providers (Anthropic, OpenAI, Google, Meta, Microsoft, Mistral, Cohere) signed it. xAI did not. What 'text watermarking' actually means here The term itself is causing confusion, so it's worth being precise. Traditional text watermarking typically relied on orthographic steganography: inserting hidden characters, zero-width spaces, or other invisible markers into finished text. These methods alter the form of the text. Once you know what to look for, they're relatively easy to detect and remove. Anthropic is using a different approach: statistical, or generative, watermarking. When a language model generates text, it doesn't always choose the single most likely next word. Instead, it samples from a range of plausible candidates. That controlled randomness helps keep the writing from becoming flat and repetitive. Statistical watermarking replaces some of that randomness with choices guided by a secret key. To the user, the output still appears natural. To the provider, the sequence of choices creates a detectable statistical signature. Anthropic has said the method doesn't insert hidden characters, identify individual users, or have any practical effect on output quality. A developer also released a demonstration tool based on the SynthID-Text approach. The engineering is sound. Yet public reaction remained largely negative, even after Anthropic's explanations. That's because the company answered the technical objections while largely missing the concerns that matter most to the people who use these tools every day -- or who still need convincing to use them. The real problems 1. It treats AI use itself as the problem Imagine buying a set of kitchen knives and having the government assign someone to monitor you around the clock to make sure you don't stab anyone. Don't worry, they say. As long as you only use the knives to cut vegetables, you'll be fine. That's the logic behind this approach. Historically, watermarking existed to protect creators. Here, it's meant to protect the potential victims of people who use AI. Yes, scammers will use AI for fraud. Yes, people will be misled by synthetic content. Those risks are real. But this policy rests on the assumption that the default use of AI is suspect, so the tool itself must bear a permanent mark. Anyone who's worked in SEO has seen this pattern before: white text on white backgrounds in the 1990s, paid links in the 2000s, private blog networks in the 2010s. The tactics worked for a while, then the market and the platforms adapted. We didn't need a special regulatory regime treating every form of content creation as potentially fraudulent. Existing fraud and consumer protection laws, along with Google's incentive to protect the quality of its search results, were enough. AI is a tool. It can be used well or poorly. Building the system on the assumption that users can't be trusted isn't a good way to earn their trust. 2. A positive detection becomes a Scarlet Letter This is the practical issue that matters most to people doing the work. Statistical watermarking can't distinguish between high-value and low-value uses. If Claude performs light editing, rewriting, translation, or tone adjustment, the output can still carry a watermark. The watermark indicates the text was processed by Claude, not that Claude was the original author. That distinction will be lost on most people. In practice, a detected watermark is likely to become a negative signal -- a sign that the work is somehow less legitimate. Ironically, the people producing the lowest-value content will have the strongest incentive to strip or evade the watermark. Its absence will prove almost nothing. The technique also isn't especially durable. Just when we thought we were past the endless "we cracked Google's algorithm" cycle, we're about to start the same cat-and-mouse game again. Once reliable detectors exist, people will test how much paraphrasing, human editing, or multi-model processing it takes to weaken the signal. 3. It treats writing like a math problem to be optimized I studied both computer science and English. When I read Anthropic's explanations, the computer scientist in me was intrigued. The description of the sampling process was clear, and the demonstration tool was genuinely instructive. The English major in me cringed. Read these three sentences and see if you can spot the difference: From a narrow technical perspective, all three are grammatical, coherent, and "high quality." From the perspective of someone who values good writing, only one is doing the work of literature. The other two are competent paraphrases. An engineer or computer scientist might not even notice the difference. Readers will. AI writing already has recognizable patterns: a heavy reliance on em dashes, the familiar "It's not X, it's Y" construction, overuse of words like "delve," "leverage," and "underscore" where simpler language would do, neatly balanced but empty phrasing, and a lack of specific, independently verifiable details that could only come from real experience. Adding a statistical bias on top of those tendencies introduces another artificial constraint on the output. The stronger the required signal, the more constrained -- and less human -- the writing is likely to feel. 4. It applies a regional rule globally Anthropic didn't write the EU regulation; it's simply responding to it. Still, the decision to apply the watermark worldwide at launch, rather than limiting it to the jurisdictions where the law applies, was deliberate and speaks volumes. The company's stated reason was the "lack of a durable way to scope the feature by region." That may be technically inconvenient, but it's hardly impossible. Companies routinely adapt product behavior to local legal requirements. Choosing not to do so here -- especially for a user base that extends well beyond the EU -- suggests a surprising disconnect from its users, many of whom are sophisticated enough to switch to open-weight or non-watermarked models when they want maximum flexibility. The deeper problem On the surface, the past week looks like a tech company solving a technical problem to meet a regulatory requirement. To Anthropic's credit, it moved first and was transparent about the change. Where it went wrong was the audience it seemed to be addressing. Its explanations were clear to people who already understand how language models work. They did little to address the broader crisis of trust. A few days after the announcement, Dario Amodei posted on X that the public's negative view of AI is fundamentally a crisis of trust. * "I do agree that the public has a negative view of AI (and that this is a big problem), but I don't think it is primarily caused by me or any other AI leader warning about AI's risks. I think it is fundamentally a crisis of trust." He has the diagnosis right. What's less convincing is the cure. He went on to argue, correctly, that glitzy marketing won't fix the problem, and neither will simply claiming AI will cure cancer. The real solution, he suggested, is actually curing cancer. That framing misses the point. It's a blind spot shared by many AI executives. AI won't cure cancer. Humans will. AI can surface connections, identify patterns, and accelerate parts of the work. But it's still a tool. Behind every meaningful result is human judgment and human responsibility. The same gap appears at a more ordinary level. Outside of work, AI has improved my life. I've already shared how it helped me improve my health. I've also used it to plan vacations, adapt recipes, repair my car, and research my family history. None of those uses will change the world. But they changed mine. Not because I picked the right model, but because I knew how to use it. I've found the same is true for many long-time SEOs. Good SEOs know how to ask questions. We know how to challenge what a computer gives us, refine our prompts, and decide when to accept an answer and when to push back. Most people haven't had that experience. Their exposure to AI is largely limited to viral videos and a steady stream of horror stories: mass layoffs, data centers straining local resources, and executives accumulating fortunes that would make the old robber barons blush. With all due respect to Amodei, actually curing cancer won't change any of that. Talking as though the technology itself will deliver the breakthrough turns people into spectators instead of participants. Worse, some hear that message and conclude the companies quietly share Agent Smith's view in "The Matrix": humans are the problem, and AI is the solution. What will close the gap is the same force that drove mainstream internet adoption in the 1990s: people discovering tangible benefits in their own lives. That happened because the early internet was built in a spirit of openness rather than control. The internet scaled because its architects favored open protocols and worked in a culture that was skeptical of concentrated power, whether in government or corporations. Vint Cerf, Bob Kahn, Tim Berners-Lee, Jon Postel, Linus Torvalds, Richard Stallman, Paul Mockapetris, and many others still aren't household names. Most never became multimillionaires or sought public recognition, yet their contributions to daily life are immeasurable. The political class's greatest contribution was restraint. Today, the major AI labs are responding to pressure by adding constraints and tightening control. Too often, the visible motivation seems to be who can produce the biggest exit. That's a very different spirit from the one that built the early internet. What actually matters There's a useful parallel here for SEOs. You've always been able to distinguish between using a technique to create real value and using it to game the system. This article is a good example. I wrote it the old-fashioned way, drafting it myself and using AI only for research. Once I had a draft, I used AI to organize, prune, and refine it. I didn't blindly accept every suggestion. I pushed back and, in some cases, overrode it. A good example is the H.G. Wells "The Time Machine" analogy above. AI kept urging me to expand that paragraph and explain the reference. I said no. I think enough of this audience will get it immediately. The rest of you can spend five seconds Googling it (or, better yet, check the book out from your local library). The difference between quality work and slop isn't whether it passes a detection tool. It's whether people engage with it, share it, and convert. Everything else is secondary. It's also telling which tool I chose. I've been using Claude all month for real work. For this piece, I switched to Grok precisely because it doesn't fingerprint its output. Part of that decision was rational. Part was emotional. Companies ignore that mix at their own risk.
Polymarket lands $300M from Trump Jr.-linked 1789 Capital at $21B valuation -- TFN
* Polymarket is reportedly raising around $1 billion in a new funding round led by 1789 Capital, with Donald Trump Jr.'s investment firm putting in about $300 million. * The deal values the prediction-market platform at approximately $21 billion post-money, up sharply from its $15 billion valuation just four months ago. * The latest financing would deepen 1789 Capital's position in Polymarket, after the firm previously invested about $200 million, while the prediction market continues to expand amid regulatory battles and intensifying competition from Kalshi. Donald Trump Jr. advises Polymarket. He also advises Kalshi, Polymarket's biggest rival, and holds Kalshi equity worth more than $300,000. Now his investment firm is putting another $300 million into Polymarket, part of a $1 billion round that values the prediction market platform at $21 billion, according to The Wall Street Journal. 1789 Capital, where Trump Jr. is a partner, had already invested about $200 million in Polymarket. The new money brings its total stake to around $500 million, making it one of the platform's largest backers. Trump Jr. has described his advisory roles at both companies as personal, telling the New York Times he acts with "no policy position and no role within the administration whatsoever." The $21 billion valuation is a 40% jump from the $15 billion mark Polymarket carried after an ICE-backed round closed in April, and puts it just under Kalshi, which raised $1 billion at a $22 billion valuation in May. Intercontinental Exchange, the parent company of the New York Stock Exchange, has put about $1.6 billion into Polymarket since October 2025, most of it under an agreement to commit up to $2 billion. Advising both sides Trump Jr. joined Polymarket's advisory board in 2025, shortly after 1789 Capital's first investment. His father's administration has argued that the Commodity Futures Trading Commission, not individual states, should regulate prediction markets -- a position both companies are counting on as they fight lawsuits from state attorneys general and, in Polymarket's case, a Baltimore lawsuit alleging its sports contracts are unlicensed betting dressed up as event trading. Democrats on the House Judiciary Committee are separately looking into 1789 Capital's expansion, given how many of its portfolio companies, including SpaceX, Anduril and Cerebras, hold federal contracts. 1789 Capital has called the inquiry partisan, and it hasn't produced any findings of wrongdoing so far. The founder who emailed the SEC at 14 Polymarket's founder, Shayne Coplan, was 22 when he built the platform's first version alone from his apartment on New York's Lower East Side during the COVID-19 lockdown, after dropping out of NYU's computer science program. He bought Ethereum as a teenager for about $0.30 a token and, at 14, emailed the SEC about high-frequency trading rules. He's 28 now. The platform runs on the Polygon blockchain and lets users trade contracts on real-world outcomes, such as elections, sports, and economic data. Early backers included Ethereum co-founder Vitalik Buterin, Peter Thiel's Founders Fund and Polychain Capital. Polymarket's annualized revenue has topped $1.2 billion, and it's been hiring out of Wall Street and Silicon Valley to match. Whether that growth outpaces the regulatory and political questions stacking up around it, including its biggest backer's family ties to the people who oversee it, is the harder thing to call.
Anthropic signs $35bn cloud agreement with Lambda - report
AI lab Anthropic has signed a cloud capacity agreement with neocloud Lambda to the tune of $35 billion. As reported by the Wall Street Journal, and citing sources familiar with the matter, the agreement pertains to 350MW of capacity at a data center under development in Nueces County, Texas. - Hut 8 DCD has contacted Lambda for comment. Nvidia will actually hold the lease on the data center, according to WSJ. The data center campus in Nueces is being developed by Hut 8, a crypto mining and HPC data center developer, dubbed the "Beacon Point" campus. Spanning 525 acres, the campus is located near Corpus Christi and is targeting initial energization in Q1 2027. Hut 8 is targeting a total of 1GW of capacity at the site. In July 2026, Hut 8 said it had doubled a lease with an unnamed hyperscale customer, adding 352MW of capacity to the lease agreement, bringing the total used by the cloud customer to 704MW. Anthropic is already indirectly a customer of Hut 8 via its River Bend data center campus. The River Bend site in Louisiana is set to be leased to Fluidstack, which in turn will offer the capacity to Anthropic. That deal is backed by Google. Reports of Anthropic's major deal with Lambda come shortly after the AI lab was said to have signed a $45 billion capacity agreement with UK-based neocloud Nscale for its upcoming West Virginia campus. Anthropic has been rapidly seeking to expand its compute capacity. The company reportedly has signed more than a dozen letters of intent for data center leases with multiple US developers. Beyond data center capacity leases, the company has also turned to cloud providers for its compute capacity - having committed to renting more than 10GW of servers from cloud providers thus far, including a $200bn agreement signed with Google. Anthropic has previously signed large cloud capacity deals with Akamai, Amazon Web Services - including a massive cluster of the cloud firm's custom Trainium hardware, CoreWeave, and a $50bn partnership with AI cloud firm Fluidstack. Since the company confidentially filed for an initial public offering (IPO) in June, it has been reported to have signed a $19bn agreement with TeraWulf for a data center in Kentucky, discussed a major leasing deal with Meta, reportedly signed a $9.1bn agreement with Riot Platforms, and reportedly is set to take capacity from a new data center provider dubbed Theseus Infrastructure. Last week, Lambda was reported to be looking to raise up to $3 billion ahead of plans for an Initial Public Offering (IPO). Founded in 2012 and offering GPU-based cloud compute, Lambda operates out of 15 data centers across the US, according to its website. More in Cloud & Hyperscale More in AI & Analytics
Anthropic: Crypto Investors Are Willing to Pay a Valuation of Nearly $2 Trillion
Anthropic is preparing the largest IPO in history. Investment bankers have reportedly floated a listing worth up to $2 trillion for the maker of Claude, which would make it the most valuable company ever to go public, ahead of SpaceX. Whether that number holds is already being tested on crypto exchanges, where traders have been putting a price on Anthropic for months. And that price points to exactly the same territory. Almost $2,000 per Token On Binance, the ANTHROPICUSDT pre-IPO perpetual contract recently traded at $1,934.25. The exchange bases the contract on an estimated total of one billion Anthropic shares, while noting that the actual count may differ. Extrapolated, that implies a valuation of roughly $1.93 trillion. On the decentralized exchange Hyperliquid, where Entropy runs the ANTH perp, the price sits at $1,934.50, effectively identical to the cent. For context: Anthropic's most recent funding round, a $65 billion Series H, valued the company at $965 billion. Crypto traders are paying precisely twice that. Anthropic Ahead of SpaceX and OpenAI A third picture comes from PreStocks, a platform that issues tokenized stakes on Solana and says they are backed by SPV exposure. An Anthropic token there costs around $871, and the platform derives an implied valuation of about $1.41 trillion from it, because it assumes considerably more than one billion shares outstanding. Per-token prices across venues are therefore not directly comparable, though the valuations derived from them are. The resulting ranking is telling. Anthropic leads at $1.41 trillion, ahead of SpaceX at roughly $1.36 trillion and OpenAI at about $1.14 trillion. Well behind them come Elon Musk's xAI at $247 billion, defense contractor Anduril at $133 billion, Neuralink at just under $52 billion, and the two prediction markets Kalshi at $33 billion and Polymarket at $13.6 billion. At that level, Anthropic would enter the ranks of the world's most valuable companies overnight, worth a multiple of European tech heavyweights such as SAP or ASML. These Are Not Shares Anyone buying these instruments is not buying a stake in Anthropic. The company issues no shares to the public and prohibits transfers to special purpose vehicles. In a recent statement, Anthropic said such transfers are void, and that third parties selling stakes through forwards or tokenized securities are either committing fraud or offering a product that may be worthless. PreStocks itself states in its terms that the tokens carry no ownership, voting, dividend or information rights, and that they are not available in the United States. What changes hands instead are derivatives, financial instruments whose value is derived from an underlying asset without the holder owning it. Settlement happens in cash. The specific form used on Binance and Hyperliquid is the perpetual future, or perp. A traditional future has an expiry date, a perp runs indefinitely. To keep its price tethered to the underlying, a mechanism called the funding rate kicks in: when the contract trades above the reference price, buyers pay a periodic fee to sellers, and the other way around. For listed companies, this keeps the perp close to the share price. For Anthropic, there is no share price to anchor it. The contract tracks nothing beyond the expectations of the traders holding it. On the regulated secondary market, where platforms such as Hiive and Forge broker actual employee shares with the company's approval, implied valuations have recently ranged between $830 billion and $1.2 trillion. The gap to the crypto price of $1.93 trillion is a fair gauge of how much imagination is currently priced into the AI market.
Take-Two's First Subpoena On Discord Has Been Granted
Discord will soon decide if the subpoena raises red flags for privacy. Take-Two's hunt for the GTA 6 leakers has taken another step forward. Videotech shared this update on social media: Take-Two has been awarded an order to serve a subpoena to @Discord. This will include the DarkViperAU Discord server and three users listed in the original complaint. The subpoena does not apply to content creator DarkViperAU himself. It just so happened that Take-Two traced this person of suspicion to his server. You can read the order here. This is the 1 subpoena that Take-Two applied on Discord that raised privacy issues. The judge allowed Take-Two to collect information on a server with 107,000 users. As Discord marketing director Ryan K. Rigney said, the order wasn't served to Discord until now. We may find out from them if they decide the order has been restricted enough to drop those red flags regarding privacy. We just reported on a 2 GTA 6 Discord subpoena Take-Two is applying for. This one will be sealed and is targeting two specific users, who may be real leads to the GTA 6 leakers.
Hut 8 stock is a winner in a new deal between Anthropic and Nvidia-backed Lambda
Big dealmaking continues at a rapid clip for AI infrastructure play Hut 8 (HUT). Hut 8 is developing the data center in Nueces County, Texas, that will be leased by Nvidia (NVDA) as part of a new $35 billion cloud-computing deal between Anthropic (ANTH.PVT) and Nvidia-backed Lambda, according to a new report from the WSJ. Hut 8 shares rose as much as 4% in premarket trading on Tuesday. "We have many projects that we are at late stage on," Hut 8 CEO Asher Genoot said on Yahoo Finance's Opening Bid in late August (video above). "We have early-stage [projects] across the whole pipeline. We have 11 that we've disclosed publicly. That doesn't include any behind-the-meter opportunities that we're working on. That doesn't include any M&A opportunities. So we have a ton of projects we're working on." Hut 8 has a remarkable transformation story, evolving from a bitcoin miner to one of the most important AI data center operators in North America. Its deal flow -- now including one with Nvidia -- is starting to flesh this out. The first blockbuster deal came in December 2025 when Hut 8 signed a 15-year, $7 billion lease with cloud infrastructure provider Fluidstack for 245 megawatts of capacity at its River Bend campus in Louisiana. Google (GOOG) is acting as a financial backstop for the entire term. Then in May, Hut 8 scored an even bigger deal -- a 15-year, $9.8 billion lease at its Beacon Point campus in Nueces County, Texas, covering 352 megawatts of AI factory capacity. The deal sports three five-year renewal options that could push the total contract value to $25.1 billion. "We regard HUT's execution on its pipeline, including its recent announcement of a new contract for Phase II of its Beacon Point AI data center project, as validation of the 'Power First' thesis that CEO Asher Genoot has articulated, in which the company's core competency is the repeatable conversion of scarce power into long-duration, contracted, financeable infrastructure," Benchmark analyst Mark Palmer wrote in a note. Palmer rated Hut 8 shares a Buy with a $195 price target, which assumes about 143% upside from current levels. Of the 18 sell-side analysts who cover Hut 8, all rate the stock a Buy, according to Yahoo Finance AlphaSpace analysis. Brian Sozzi is Yahoo Finance's Executive Editor, host of the 'Power Players With Brian Sozzi' podcast and a member of Yahoo Finance's editorial leadership team. Follow Sozzi on X @BrianSozzi, Instagram, and LinkedIn. Tips on stories? Email [email protected].
Hut 8 stock is a winner in a new deal between Anthropic and Nvidia-backed Lambda
Big dealmaking continues at a rapid clip for AI infrastructure play Hut 8 (HUT). Hut 8 is developing the data center in Nueces County, Texas, that will be leased by Nvidia (NVDA) as part of a new $35 billion cloud-computing deal between Anthropic (ANTH.PVT) and Nvidia-backed Lambda, according to a new report from the WSJ. Hut 8 shares rose as much as 4% in premarket trading on Tuesday. "We have many projects that we are at late stage on," Hut 8 CEO Asher Genoot said on Yahoo Finance's Opening Bid in late August (video above). "We have early-stage [projects] across the whole pipeline. We have 11 that we've disclosed publicly. That doesn't include any behind-the-meter opportunities that we're working on. That doesn't include any M&A opportunities. So we have a ton of projects we're working on." Hut 8 has a remarkable transformation story, evolving from a bitcoin miner to one of the most important AI data center operators in North America. Its deal flow -- now including one with Nvidia -- is starting to flesh this out. The first blockbuster deal came in December 2025 when Hut 8 signed a 15-year, $7 billion lease with cloud infrastructure provider Fluidstack for 245 megawatts of capacity at its River Bend campus in Louisiana. Google (GOOG) is acting as a financial backstop for the entire term. Then in May, Hut 8 scored an even bigger deal -- a 15-year, $9.8 billion lease at its Beacon Point campus in Nueces County, Texas, covering 352 megawatts of AI factory capacity. The deal sports three five-year renewal options that could push the total contract value to $25.1 billion. "We regard HUT's execution on its pipeline, including its recent announcement of a new contract for Phase II of its Beacon Point AI data center project, as validation of the 'Power First' thesis that CEO Asher Genoot has articulated, in which the company's core competency is the repeatable conversion of scarce power into long-duration, contracted, financeable infrastructure," Benchmark analyst Mark Palmer wrote in a note. Palmer rated Hut 8 shares a Buy with a $195 price target, which assumes about 143% upside from current levels. Of the 18 sell-side analysts who cover Hut 8, all rate the stock a Buy, according to Yahoo Finance AlphaSpace analysis. Brian Sozzi is Yahoo Finance's Executive Editor, host of the 'Power Players With Brian Sozzi' podcast and a member of Yahoo Finance's editorial leadership team. Follow Sozzi on X @BrianSozzi, Instagram, and LinkedIn. Tips on stories? Email [email protected].
Anthropic seals $35 billion cloud deal with Nvidia-backed Lambda
Anthropic PBC agreed to a $35 billion computing deal with Lambda, a cloud provider backed by Nvidia Corp., part of an effort to quickly expand its AI capacity, according to a person familiar with the matter. Infrastructure company Hut 8 is developing the Texas data center involved in the project, said the person, who asked not to be identified because the discussions are private. The Wall Street Journal previously reported on the agreement, saying that Nvidia would hold the lease on the data center, which is in Nueces County, Texas. The deal is just the latest AI computing agreement tied to Nvidia, the world's most valuable business and the leading provider of AI chips. The company has been using its financial resources to expand access to computing infrastructure, which, in turn, should increase demand for its technology. Anthropic, meanwhile, has emerged as one of the most significant customers for data center power. The Claude chatbot maker last week agreed to spend $45 billion to rent capacity from Nscale in West Virginia. In recent months, it has also signed cloud deals for $50 billion with neocloud Fluidstack Ltd. and $45 billion with Elon Musk's SpaceX. A representative for Anthropic declined to comment. Nvidia, Lambda and Hut 8 didn't immediately respond to requests for comment. Lambda is in talks to raise as much as $3 billion, Bloomberg reported last week. The company has discussed a valuation of as much as $12 billion or more, according to people familiar with the talks. Lambda raised more than $1.5 billion in a November funding round. The company also reached an agreement with Microsoft Corp. last year to deploy AI infrastructure that would be powered by tens of thousands of Nvidia processors. More stories like this are available on bloomberg.com ©2026 Bloomberg L.P. Published on September 1, 2026
Donald Trump Jr's venture capital firm leads US$1 billion funding round for Polymarket
DONALD Trump Jr's venture capital firm, 1789 Capital, is leading a new funding round in Polymarket that values the prediction market at US$21 billion, a spokesperson for 1789 Capital said on Monday (Aug 31). Polymarket plans to raise US$1 billion, including around US$300 million from 1789 Capital, the spokesperson, Alexa Henning, said. The investment firm previously invested about US$200 million in the prediction market, which is currently valued at about US$15 billion. Prediction markets such as Polymarket and Kalshi have exploded in popularity over the past year. The platforms allow users to place wagers on the outcome of a wide variety of events, such as what the president will say in a speech or who will get married on "Love Is Blind". The Trump family has built up a financial stake in the industry since last year. Donald Trump Jr joined Kalshi as an adviser in 2025 and received shares in the company worth more than US$300,000. He also began advising Polymarket and invested in it via 1789 Capital. At the same time, his father, US President Donald Trump, has taken steps to boost the industry. Michael S Selig, whom the president appointed to lead the Commodity Futures Trading Commission, which oversees prediction markets, has spoken enthusiastically about the companies and sued states that tried to regulate them. The president declared on Truth Social that prediction markets would "thrive" under his leadership and said Selig was "respected by all". Bloomberg earlier reported that 1789 Capital was leading Polymarket's funding round. Many of the companies that 1789 Capital has invested in have large government contracts, while others, like Polymarket, have benefited directly from new Trump policies or rollbacks of existing laws, The New York Times has reported. The investment firm also bought shares in some of the most coveted private companies before many went public, including SpaceX, Anduril, Cerebras and Reflection AI. Two years ago, 1789 Capital managed a few hundred million dollars. It now oversees more than US$3 billion. Donald Trump Jr told the Times in 2026 that he invested as a private citizen and held "no policy position and no role within the administration whatsoever". NYTIMES
Anthropic seals $44 billion cloud deal with Nvidia-backed Lambda
Lambda is raising up to US$3 billion, targeting a valuation over US$12 billion, and has a 2025 agreement with Microsoft for AI infrastructure powered by Nvidia processors. San Francisco - Anthropic agreed to a US$35 billion (S$44 billion) computing deal with Lambda, a cloud provider backed by Nvidia, part of an effort to quickly expand its artificial intelligence (AI) capacity, according to a person familiar with the matter. Infrastructure company Hut 8 is developing the Texas data centre involved in the project, said the person, who asked not to be identified because the discussions are private. The Wall Street Journal previously reported on the agreement, saying that Nvidia would hold the lease on the data centre, which is in Nueces County, Texas. The deal is just the latest AI computing agreement tied to Nvidia, the world's most valuable business and the leading provider of AI chips. The company has been using its financial resources to expand access to computing infrastructure, which, in turn, should increase demand for its technology. Anthropic, meanwhile, has emerged as one of the most significant customers for data centre power. The Claude chatbot maker last week agreed to spend US$45 billion to rent capacity from Nscale in West Virginia. In recent months, it has also signed cloud deals for US$50 billion with neocloud Fluidstack and US$45 billion with billionaire Elon Musk's SpaceX. A representative for Anthropic declined to comment. Nvidia, Lambda and Hut 8 did not immediately respond to requests for comment. Lambda is in talks to raise as much as US$3 billion, Bloomberg reported last week. The company has discussed a valuation of as much as US$12 billion or more, according to people familiar with the talks. Lambda raised more than US$1.5 billion in a November funding round. The company also reached an agreement with Microsoft in 2025 to deploy AI infrastructure that would be powered by tens of thousands of Nvidia processors. Bloomberg
Anthropic signs $35 billion cloud deal with Nvidia-backed Lambda, source says - AOL
Aug 31 (Reuters) - Anthropic has signed a cloud-computing deal worth $35 billion with Lambda, a cloud provider backed by Nvidia, a source familiar with the matter said on Monday. The deal will bring online Nvidia capacity to meet growing demand for Anthropic's Claude AI, the source said. The news was first reported by the Wall Street Journal. (Reporting by Chandni Shah in Bengaluru and Natalia Bueno Rebolledo in Mexico City; Editing by Subhranshu Sahu)
Sundar Pichai Says Alphabet Can't Build AI Capacity Fast Enough, and Anthropic Has Secured 5 Gigawatts of It.
Alphabet (NASDAQ:GOOG)(NASDAQ:GOOGL) said something striking on its second-quarter earnings call in July. Even after committing to as much as $205 billion of capital spending this year, the company still can't build artificial intelligence (AI) computing capacity as fast as customers want it. "[W]e continue to be supply constrained -- a sign of momentum and rapid adoption," CEO Sundar Pichai said in his remarks on the quarter. Missed Nvidia in 2009? This Rare Signal Is Flashing Again. In 2009, a "Double Down" signal flashed for a little-known chipmaker called Nvidia. For the first time in years, that same "Total Conviction" signal is flashing for a company 1/100th the size of Nvidia. Continue " Yet Alphabet has agreed to hand multi-gigawatt blocks of that scarce capacity to a fast-growing outside customer: Anthropic, the AI company behind the Claude models. And a look at Alphabet's underlying business performance shows why the company is racing to sell its capacity to major customers like Anthropic -- even if it's scarce. Image source: Alphabet Inc. Selling scarce capacity is a great business Google Cloud, the segment that sells cloud computing to outside customers, grew revenue 82% year over year to $24.8 billion in the second quarter. That was up from 63% growth in the first quarter. The profit is growing even faster than the revenue. Google Cloud's operating income more than tripled year over year, from $2.8 billion to $8.8 billion -- after reaching $6.6 billion in the first quarter. The segment's operating margin came in at about 36%, versus about 21% in the year-ago quarter and 33% in the first quarter of this year. And the contracted work keeps piling up. Pichai said cloud backlog (future revenue from signed contracts) grew to about $514 billion in the second quarter, up from $462 billion at the end of the first quarter. That backlog is now more than four times the revenue Alphabet's entire business produced last quarter. How much of it is Anthropic? Alphabet doesn't break out the number, but the disclosed pieces -- even if they lack financial details -- are big. Last October, Anthropic agreed to expand its use of Google Cloud in a deal giving it access to up to 1 million of Google's tensor processing units (TPUs), the AI chips Google designs in-house, with well over a gigawatt of capacity coming online in 2026. Google Cloud said the agreement was worth tens of billions of dollars. This spring, the relationship got much bigger. In early April, Anthropic secured multiple gigawatts of next-generation TPU capacity from Google and chip partner Broadcom, coming online starting in 2027 -- about 5 gigawatts in all, CNBC reported. Anthropic will access that capacity through Broadcom, according to a Broadcom securities filing. Weeks later, Google agreed to invest up to $40 billion in Anthropic itself, putting in $10 billion right away with as much as $30 billion more tied to performance milestones.
Donald Trump Jr.'s Firm Leads $1 Billion Funding Round for Polymarket
The new round values the prediction market at $21 billion, up from $15 billion. Mr. Trump's firm, 1789 Capital, will invest around $300 million. Donald Trump Jr.'s venture capital firm, 1789 Capital, is leading a new funding round in Polymarket that values the prediction market at $21 billion, a spokeswoman for 1789 Capital said on Monday. Polymarket plans to raise $1 billion, including around $300 million from 1789 Capital, the spokeswoman, Alexa Henning, said. The investment firm previously invested about $200 million in the prediction market, which is currently valued at about $15 billion. Prediction markets like Polymarket and Kalshi have exploded in popularity over the past year. The platforms allow users to place wagers on the outcome of a wide variety of events, from what the president will say in a speech to who will get married on "Love Is Blind." The Trump family has built up a financial stake in the industry since last year. Donald Trump Jr. joined Kalshi as an adviser last year and received shares in the company worth more than $300,000. He also began advising Polymarket and invested in it via 1789 Capital. At the same time, his father, President Trump, has taken steps to boost the industry. Michael S. Selig, whom the president appointed to lead the Commodity Futures Trading Commission, which oversees prediction markets, has spoken enthusiastically about the companies and sued states that tried to regulate them. The president declared on Truth Social that prediction markets would "thrive" under his leadership and said Mr. Selig was "respected by all." Bloomberg earlier reported that 1789 Capital was leading Polymarket's funding round. Many of the companies that 1789 Capital has invested in have large government contracts, while others, like Polymarket, have benefited directly from new Trump policies or rollbacks of existing laws, The New York Times has reported. The investment firm also bought shares in some of the most coveted private companies before many went public, including SpaceX, Anduril, Cerebras and Reflection AI. Two years ago, 1789 Capital managed a few hundred million dollars. It now oversees more than $3 billion. Donald Trump Jr. told The Times this year that he invested as a private citizen and held "no policy position and no role within the administration whatsoever."
Sundar Pichai Says Alphabet Can't Build AI Capacity Fast Enough, and Anthropic Has Secured 5 Gigawatts of It.
Alphabet (NASDAQ:GOOG)(NASDAQ:GOOGL) said something striking on its second-quarterearnings callin July. Even after committing to as much as $205 billion of capital spending this year, the company still can't build artificial intelligence (AI) computing capacity as fast as customers want it. "[W]e continue to be supply constrained -- a sign of momentum and rapid adoption," CEO Sundar Pichai said in his remarks on the quarter. Missed Nvidia in 2009? This Rare Signal Is Flashing Again. In 2009, a "Double Down" signal flashed for a little-known chipmaker called Nvidia. For the first time in years, that same "Total Conviction" signal is flashing for a company 1/100th the size of Nvidia. Continue " Yet Alphabet has agreed to hand multi-gigawatt blocks of that scarce capacity to a fast-growing outside customer: Anthropic, the AI company behind the Claude models. And a look at Alphabet's underlying business performance shows why the company is racing to sell its capacity to major customers like Anthropic -- even if it's scarce. Image source: Alphabet Inc. Selling scarce capacity is a great business Google Cloud, the segment that sells cloud computing to outside customers, grew revenue 82% year over year to $24.8 billion in the second quarter. That was up from 63% growth in the first quarter. The profit is growing even faster than the revenue. Google Cloud's operating income more than tripled year over year, from $2.8 billion to $8.8 billion -- after reaching $6.6 billion in the first quarter. The segment's operating margin came in at about 36%, versus about 21% in the year-ago quarter and 33% in the first quarter of this year. And the contracted work keeps piling up. Pichai said cloud backlog (future revenue from signed contracts) grew to about $514 billion in the second quarter, up from $462 billion at the end of the first quarter. That backlog is now more than four times the revenue Alphabet's entire business produced last quarter. How much of it is Anthropic? Alphabet doesn't break out the number, but the disclosed pieces -- even if they lack financial details -- are big. Last October, Anthropic agreed to expand its use of Google Cloud in a deal giving it access to up to 1 million of Google's tensor processing units (TPUs), the AI chips Google designs in-house, with well over a gigawatt of capacity coming online in 2026. Google Cloud said the agreement was worth tens of billions of dollars. This spring, the relationship got much bigger. In early April, Anthropic secured multiple gigawatts of next-generation TPU capacity from Google and chip partner Broadcom, coming online starting in 2027 -- about 5 gigawatts in all, CNBC reported. Anthropic will access that capacity through Broadcom, according to a Broadcom securities filing. Weeks later, Google agreed to invest up to $40 billion in Anthropic itself, putting in $10 billion right away with as much as $30 billion more tied to performance milestones. Worth noting from that Broadcom filing, though, is that Anthropic's use of the expanded capacity "is dependent on Anthropic's continued commercial success." That is the honest risk in this arrangement. To be fair, Anthropic said in April that its run rate revenue (its recent revenue pace, annualized) had surpassed $30 billion, up from about $9 billion at the end of 2025. Growth like that is extraordinary. But it means a meaningful slice of Alphabet's contracted future rests on one young AI developer growing into its commitments, and Alphabet is now an investor in that developer on top of being its supplier. The build-out still has to be paid for Of course, Alphabet has to build all of this capacity before anyone can rent it. The company raised its 2026 capital expenditures guidance in July to $195 billion to $205 billion. In the second quarter, capital spending of $44.9 billion exceeded the $39.1 billion of cash its operations produced. And the funding has gone well beyond cash on hand. Alphabet collected $49.6 billion from stock sales in June and issued senior notes (a form of debt) for another $20.3 billion of proceeds during the quarter. In other words, the company is financing enormous capacity ahead of the revenue it will carry, and pre-selling chunks of it profitably. What's in it for Alphabet? Probably more of the incredible momentum it's already seeing: Faster cloud revenue growth, a segment margin up from about 21% to about 36% in a year, and a $514 billion pile of signed contracts. So, there's a lot to like here. The supply constraint Pichai described is another way of saying Alphabet has pricing power, and the Anthropic agreements convert that scarcity into contracted revenue years into the future -- something that should help an already thriving cloud business over the long haul. And shares trade near $339 as of this writing, at about 23 times next year's expected earnings, which is arguably a reasonable price for a company growing total revenue by 24% (with an explosive cloud business underneath). Should you buy stock in Alphabet right now? Before you buy stock in Alphabet, 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 Alphabet 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 $440,710!* Or when Nvidia made this list on April 15, 2005... if you invested $1,000 at the time of our recommendation, you'd have $1,335,252!* Now, it's worth noting Stock Advisor's total average return is 978% -- a market-crushing outperformance compared to 213% 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 August 31, 2026. Daniel Sparks and his clients do not have positions in any of the stocks mentioned. The Motley Fool has positions in and recommends Alphabet and Broadcom. The Motley Fool has a disclosure policy.
Anthropic signs $35 billion cloud deal with Nvidia-backed Lambda, source says
Aug 31 (Reuters) - Anthropic has signed a cloud-computing deal worth $35 billion with Lambda, a cloud provider backed by Nvidia, a source familiar with the matter said on Monday. The deal will bring online Nvidia capacity to meet growing demand for Anthropic's Claude AI, the source said. The news was first reported by the Wall Street Journal. (Reporting by Chandni Shah in Bengaluru and Natalia Bueno Rebolledo in Mexico City; Editing by Subhranshu Sahu)
Anthropic signs $35 billion cloud deal with Nvidia-backed Lambda, source says By Reuters
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Anthropic signs $35 billion cloud deal with Nvidia-backed Lambda, source says
Aug 31 (Reuters) - Anthropic has signed a cloud-computing deal worth $35 billion with Lambda, a cloud provider backed by Nvidia, a source familiar with the matter said on Monday. The deal will bring online Nvidia capacity to meet growing demand for Anthropic's Claude AI, the source said. The news was first reported by the Wall Street Journal. (Reporting by Chandni Shah in Bengaluru and Natalia Bueno Rebolledo in Mexico City; Editing by Subhranshu Sahu) Copyright Reuters or USA Today via Reuters Connect This story was originally published August 31, 2026 at 6:50 PM.
Anthropic seals US$35 billion cloud-computing deal with Nvidia-backed Lambda: Bloomberg
ANTHROPIC agreed to a US$35 billion computing deal with Lambda, a cloud provider backed by Nvidia, part of an effort to quickly expand its AI capacity, according to a person familiar with the matter. Infrastructure company Hut 8 is developing the Texas data centre involved in the project, said the person, who asked not to be identified because the discussions are private. The Wall Street Journal previously reported on the agreement, saying that Nvidia would hold the lease on the data centre, which is in Nueces County, Texas. The deal is just the latest AI computing agreement tied to Nvidia, the world's most valuable business and the leading provider of AI chips. The company has been using its financial resources to expand access to computing infrastructure, which, in turn, should increase demand for its technology. Anthropic, meanwhile, has emerged as one of the most significant customers for data centre power. The Claude chatbot maker on Aug 26 agreed to spend US$45 billion to rent capacity from Nscale in West Virginia. In recent months, it has also signed cloud deals for US$50 billion with neocloud Fluidstack and US$45 billion with Elon Musk's SpaceX. A representative for Anthropic declined to comment. Nvidia, Lambda and Hut 8 did not immediately respond to requests for comment. Lambda is in talks to raise as much as US$3 billion, Bloomberg reported on Aug 25. The company has discussed a valuation of as much as US$12 billion or more, according to people familiar with the talks. Lambda raised more than US$1.5 billion in a November 2025 funding round. The company also reached an agreement with Microsoft in 2025 to deploy AI infrastructure that would be powered by tens of thousands of Nvidia processors. BLOOMBERG
