News & Updates
The latest news and updates from companies in the WLTH portfolio.
Kraken leads with $400M in spot liquidity across MiCA exchanges
DefiLlama's new compliance dashboard shows Kraken pulling ahead of Coinbase and rivals as Europe's crypto regulation fully kicks in Kraken is sitting on roughly $400 million in spot liquidity across MiCA-licensed exchanges, making it the clear frontrunner in Europe's newly regulated crypto marketplace. The exchange also holds about $207 million in perpetual liquidity, putting meaningful distance between itself and every other compliant competitor on the continent. The numbers come from DefiLlama's freshly launched MiCA compliance dashboard, which went live on July 1, 2026. That date coincides with the full enforcement of the Markets in Crypto-Assets Regulation for crypto asset service providers across the European Union. The liquidity leaderboard takes shape The exchange's $399.71 million in spot liquidity dwarfs its nearest competitor. Coinbase, the second-place finisher, reports approximately $305 million in spot liquidity and $167 million in perpetuals. That's a roughly $95 million gap in spot alone. From there, the drop-off gets steep. Crypto.com trails with around $131 million in spot liquidity. Bitstamp, one of Europe's legacy exchanges, comes in at roughly $55 million. And OKX sits near the bottom with about $12 million in spot liquidity and lower or no perpetual liquidity to speak of. Kraken's platform currently supports trading across 1,704 markets, covering both spot and perpetual products. Why MiCA changes the game The Markets in Crypto-Assets Regulation represents the EU's attempt to build a single, unified licensing framework for crypto service providers. One license, one set of rules, access to all 27 member states. Kraken moved early. The exchange secured its MiCA authorization from the Central Bank of Ireland back in June 2025, a full year before the regulation's enforcement deadline for crypto asset service providers. That head start gave Kraken time to build out its European operations, including spot, futures, and derivatives offerings, while competitors were still working through the licensing process. DefiLlama's MiCA compliance dashboard lets users compare exchanges on liquidity, compliance status, and transaction fees, all in one place. What this means for investors Coinbase, sitting in second place with $305 million in spot liquidity, remains a formidable competitor. But the $95 million gap to Kraken is significant enough to influence where large orders get routed. Smaller MiCA-licensed platforms like OKX, with just $12 million in spot liquidity, face a difficult question: can they grow fast enough to remain viable, or will they become acquisition targets for larger players looking to expand their European footprint?
Grok gets creative tools as Musk pushes xAI deeper into image and video generation
The integration of Imagine into Grok's agentic mode signals xAI's aggressive expansion into autonomous content creation, with potential ripple effects across digital asset markets. Elon Musk just gave his AI chatbot a paintbrush. And a camera. And, if he's to be believed, eventually a director's chair. On July 8, Musk announced that Grok, the conversational AI built by his company xAI, will integrate the Imagine tool for autonomous image and video generation. The key detail: Grok will be able to call Imagine dynamically in "agentic mode," meaning the AI decides on its own when to generate visual content rather than waiting for explicit user commands. What Grok's agentic mode actually means The Imagine tool itself has been evolving rapidly. Grok Imagine Video 1.5 launched around June 16-17, bringing what Musk described as significant improvements in both quality and speed. Some updates have enabled image-to-video generation in under 15 seconds. Musk predicted that Grok could produce full movies by the end of 2026. The AI content creation arms race The competitive landscape in AI-generated video has intensified dramatically over the past year, with OpenAI's Sora, Google's Veo, and a constellation of smaller startups all racing to build tools that can produce broadcast-quality video from text prompts. What makes the Grok-Imagine integration notable isn't just the technology itself. It's the distribution. Grok lives inside X (formerly Twitter). If Imagine's video generation reaches even a fraction of that audience through agentic mode, xAI instantly becomes one of the largest deployments of AI video generation in the world. Where crypto and digital assets enter the picture Musk's announcement contained zero references to cryptocurrency, blockchain, tokens, or any digital asset infrastructure. Not a single one. xAI isn't launching a token. Imagine isn't minting NFTs. There's no on-chain component to any of this.
Polymarket races to regain trust with US market re-entry after $112M acquisition
The prediction market giant is betting that rock-bottom fees and a CFTC-approved derivatives exchange can make Americans forget it once kicked them off the platform Polymarket, the crypto-native prediction market that became a cultural phenomenon during the 2024 US election cycle, is making its way back to American users. The platform acquired regulated derivatives exchange QCX for $112 million, giving it the legal scaffolding to offer event contracts stateside. Polymarket didn't leave the US market on its own terms. Back in 2022, the platform was forced to block American users after running into regulatory headwinds. Now it's attempting a comeback, armed with federal approval and a fee structure aggressive enough to make both offshore venues and traditional sportsbooks uncomfortable. The regulatory path back The company secured an amended CFTC order in November that allows it to beta test its US exchange with live trades. The QCX acquisition is the centerpiece of this strategy. By purchasing a regulated derivatives venue for $112 million, Polymarket essentially bought itself a compliance moat rather than trying to convince regulators that prediction markets deserve a novel framework. The US-specific app will initially focus on sports contracts. Politics and crypto markets are planned for later. A fee structure designed to hurt competitors Polymarket's US product features 10 basis point taker fees with zero maker fees. Standard sportsbook vigorish typically runs anywhere from 4% to 10% on most bets. A trader placing a $1,000 position on Polymarket pays $1 in fees. The same economic exposure through a sportsbook would cost somewhere between $40 and $100 in embedded margin. The zero maker fee component means liquidity providers can operate for free, bootstrapping deep order books. Why the trust problem is real American users who were active on the platform before 2022 remember being shown the door. Some found workarounds, using VPNs and non-US accounts, which created its own set of problems when questions about market integrity surfaced during the 2024 election. The fact that US participation was technically prohibited while the platform was being used to forecast US elections created an awkward dynamic that regulators noticed. Now Polymarket has to convince American retail users the platform won't pull the rug again if regulatory winds shift, and institutional participants need to see a compliance infrastructure robust enough to satisfy their own legal teams. A $112 million price tag for a regulated venue signals commitment that's hard to fake. What this means for the broader prediction market landscape Kalshi, the other major US prediction market, has been operating with CFTC approval since 2020 and has fought its own regulatory battles to expand into election contracts. Polymarket's entry as a direct competitor with dramatically lower fees could force Kalshi to reconsider its own pricing. Analysts watching this space see Polymarket's return as a potential inflection point for on-chain prediction markets more broadly. If a CFTC-approved platform with institutional-grade compliance can operate at 10 basis point fees, it validates the entire category as a legitimate financial product rather than an unregulated gray area.
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.
SpaceX's lead underwriters face $1T valuation gap as quiet period ends
Goldman Sachs and Morgan Stanley released wildly divergent revenue forecasts for the newly public space giant, and the difference comes down to one word: AI When two of Wall Street's most powerful banks can't agree on what a company is worth, and the gap between their estimates stretches to roughly $1 trillion, investors should probably pay attention. SpaceX's post-IPO quiet period ended in early July, unleashing a flood of analyst reports from the underwriters who shepherded the largest public offering in history. Goldman Sachs and Morgan Stanley, the two lead underwriters, published their inaugural coverage notes within days of each other. The numbers that don't add up Goldman Sachs projects SpaceX will generate $474 billion in total revenue by 2030. Morgan Stanley pegs that figure at $330 billion. That's a $144 billion disagreement on a four-year outlook. The core of the disagreement sits squarely on AI. Goldman attributes $322 billion of its 2030 revenue estimate to AI operations, while Morgan Stanley sees that segment contributing $190 billion. A $132 billion gap in a single revenue line item. Zoom out to 2040 and the divergence gets genuinely absurd. Morgan Stanley forecasts $3.4 trillion in revenue and over $2.7 trillion in adjusted EBITDA by that year. If Goldman's more aggressive growth assumptions hold through the decade, the implied valuation gap between the two banks' models balloons to around $1 trillion. The IPO that broke records SpaceX priced its IPO at $135 per share on June 11, 2026, raising $75 billion in one of the most anticipated public offerings ever. The greenshoe option pushed the total raise to $85.7 billion. Only about 4% of the company was sold to the public. When trading began on June 12, shares surged enough to push SpaceX's market capitalization to approximately $2.1 trillion. The implied equity valuation at offering was about $1.77 trillion, meaning the market added roughly $330 billion in perceived value on day one alone. The underwriting fees tell their own story. At under 0.75% of the total raise, SpaceX negotiated a fee structure well below the typical 3-7% charged on large IPOs. Even so, the sheer size of the deal meant the total fee pool landed somewhere between $500 million and $650 million. Goldman Sachs and Morgan Stanley each captured approximately 20% of that pool, meaning each bank walked away with north of $100 million for their efforts. Why the AI bet matters for everyone The two banks are effectively placing opposite-end bets on how quickly AI capabilities can be monetized at scale through satellite infrastructure and space-based computing. Goldman's model assumes AI operations become the dominant revenue driver within four years, essentially dwarfing the launch and satellite connectivity businesses that made SpaceX famous. Morgan Stanley's model treats AI as a significant but not overwhelming contributor, keeping more weight on legacy revenue streams. Investors watching SpaceX should focus on the quarterly AI revenue disclosures that will begin arriving later this year. The first few earnings reports will start revealing which bank's crystal ball is less foggy. If AI revenue tracks closer to Goldman's projections, the stock likely has room to run. If Morgan Stanley's estimates prove more accurate, the current $2.1 trillion market cap could face pressure.
Anthropic to invest $15B in Australian data centers by mid-2027
https://itbrief.com.au/story/anthropic-plans-australian-office-in-global-ai-push Anthropic has announced plans to invest up to $15 billion in developing data centers across Australia by mid-2027. The move is part of a strategic expansion to secure 1.4 gigawatts of data center capacity, primarily through leasing from local developers or joint ventures. This development follows an earlier memorandum of understanding with the Australian government and aligns with Anthropic's broader strategy to establish Western-aligned infrastructure outside the United States. The company, known for its AI model Claude, aims to activate at least 1 gigawatt of capacity by the end of 2027, supporting its future AI model training and deployment efforts. Key Takeaways * The announcement appears consistent with increasing valuation expectations for Anthropic, as it reflects significant growth potential. * Markets suggest that the $15 billion investment could be a key indicator of Anthropic's commitment to expanding its infrastructure footprint outside the U.S. * Current pricing in related prediction markets is supportive of scenarios where Anthropic's valuation increases significantly by the end of the year. What to Watch Observers will be closely monitoring Anthropic's progress in securing the planned data center capacity in Australia, particularly through partnerships with local developers. Developments that indicate successful leasing or joint ventures could be consistent with a YES outcome in valuation increase scenarios. Additionally, any further announcements regarding Anthropic's strategic initiatives or partnerships with major tech firms like Amazon and Google could influence market expectations. Get prediction market intelligence as a structured API feed. Early access waitlist.
Meta Platforms restricts engineers from using Anthropic's Claude and OpenAI's Codex
The tech giant is locking down rival AI tools to prevent 'model distillation' risks, joining Microsoft in a broader industry pullback from third-party coding assistants Meta has drawn a hard line in the AI arms race. The company's Applied AI division now explicitly prohibits engineers from using Anthropic's Claude Code and OpenAI's Codex, two of the most popular AI-powered coding tools in the industry. The restrictions, documented internally around June 29, 2026, are designed to prevent a specific and somewhat ironic problem: rival AI models accidentally teaching Meta's own models their tricks. The distillation problem The concern is straightforward. When Meta engineers use Claude Code or Codex to write code, generate data, or run evaluations, those outputs carry the DNA of Anthropic's and OpenAI's proprietary models. If that output then feeds into Meta's training pipelines, evaluation benchmarks, or post-training datasets, Meta's models could absorb competitive capabilities they didn't develop themselves. That's not just an intellectual property headache. It's a potential breach of service agreements with both Anthropic and OpenAI, which typically prohibit using their outputs to train competing models. Teams within Meta's Applied AI division have been told to halt tasks involving these external tools, enforce human oversight on any remaining workflows, and scrub any prior outputs from data generation processes and benchmarks. The scale of the problem was enormous Before Meta pulled the plug, usage had reached staggering levels. An internal tracking system, which Meta employees reportedly nicknamed the "Claudeonomics" dashboard, recorded 60 trillion tokens consumed within a single 30-day period. Microsoft reportedly canceled a majority of its Claude Code licenses by June 30, 2026, citing excessive token consumption as a primary driver.
Anthropic pledges $200 billion to Google Cloud, reshaping the AI infrastructure race
The five-year commitment accounts for over 40% of Alphabet's Google Cloud revenue backlog and signals a new era of hyperscale AI spending Anthropic just wrote what might be the largest check in enterprise cloud history. The Claude AI maker has committed roughly $200 billion to Google Cloud services over the next five years, a deal so large it represents more than 40% of Alphabet's entire disclosed revenue backlog for its cloud division. What the deal actually includes The commitment isn't just about renting server space. Back in October 2025, Anthropic expanded an existing agreement to acquire up to one million of Google's custom AI chips, known as Tensor Processing Units. That deal alone was valued in the tens of billions of dollars. Then in April 2026, Anthropic struck a separate alliance with Google and Broadcom targeting multiple gigawatts of next-generation TPU capacity starting in 2027. The practical result is that Anthropic's Claude models are deeply embedded in Google Cloud's Vertex AI platform, running alongside Google's own Gemini models. The two companies have been presenting jointly at Google Cloud Next conferences throughout 2025 and 2026. Anthropic isn't exclusive to Google. Claude models are also hosted on AWS and Microsoft Azure. Why this matters for the broader tech ecosystem For Alphabet investors, the math is straightforward. A $200 billion commitment over five years translates to roughly $40 billion in annual revenue from a single customer. The crypto infrastructure overlap AI training and crypto mining share a critical resource: data center capacity. Both require massive amounts of power, cooling, and physical space. As AI companies like Anthropic consume multiple gigawatts of capacity, they're competing directly with Bitcoin miners and blockchain validators for the same real estate and energy resources. Several publicly traded Bitcoin miners have pivoted toward offering AI compute services because the margins are higher and the demand is more predictable than mining rewards that fluctuate with Bitcoin's price.
Anthropic faces US regulatory scrutiny over new AI models, sparking rally in decentralized AI tokens
The Commerce Department forced Anthropic to pull its latest models offline over a jailbreak vulnerability, and crypto markets noticed immediately The US Commerce Department issued a directive on June 12 forcing Anthropic to suspend global access to its two most advanced AI models, Fable 5 and Mythos 5, after a jailbreak vulnerability raised national security red flags. The mandate required Anthropic to cut off all foreign nationals from the models, which effectively meant taking them offline entirely. The models stayed dark for roughly three weeks. Access was restored around June 30 to July 1, but only after Anthropic agreed to implement enhanced safeguards and submit to greater government oversight. Even then, the comeback was uneven: Fable 5 returned to full global access, while Mythos 5 was initially restricted to approved US organizations only. A company worth nearly $1 trillion, grounded by regulators This is a company valued at close to $1 trillion, one of the most prominent AI labs on the planet, built on a brand identity centered around safety. And it still got its models yanked offline by regulators. Just two days before the Commerce Department dropped its directive, Anthropic CEO Dario Amodei published an essay on June 10 arguing for stricter federal regulation of frontier AI. He called for rigorous testing and auditing frameworks to prevent unsafe deployments. The jailbreak vulnerability at the center of this situation involved users finding ways to bypass the safety constraints built into Fable 5 and Mythos 5. The backstory: Anthropic and the Pentagon were already at odds This wasn't Anthropic's first brush with government tension in 2026. Earlier in the year, disputes emerged regarding the military use of Anthropic's technologies, particularly involving the Department of Defense. Those disagreements raised pointed questions about whether AI systems designed with safety-first principles should be deployed in high-stakes military environments. The export control directive in June escalated that dynamic significantly. Export controls are one of the sharpest tools in the US government's regulatory toolkit, typically associated with things like advanced semiconductors and weapons systems. What this means for crypto and decentralized AI The crypto market's response was swift and predictable. Tokens associated with decentralized AI projects surged as investors drew the obvious conclusion: if a nearly $1 trillion company can have its products disabled by a single government directive, maybe there's value in systems that can't be turned off from Washington. Projects like Venice and Morpheus saw notable gains as traders rotated into assets perceived as censorship-resistant.
