Weekly AI Update The AI chip gold rush has a new banker worth $2.4B Volta Infra, a brand new AI cloud startup, just raised $300 million plus $5 billion in financing to help more companies afford Nvidia's pricey chips, not just the tech giants. Backed by Nvidia, Michael Dell, Andreessen Horowitz, and Altimeter, it has already locked in a $10 billion contract to supply cloud capacity to an unnamed AI developer over six years. The bet is that whoever solves AI's financing problem wins, though critics warn of risky circular deals and a coming shakeout. Google's $1.5B play for Mechanize could finally fix its coding AI problem Google is reportedly in talks to pay around $1.5 billion to license technology from Mechanize, a young AI startup building simulated environments and benchmarks to train coding agents, while also hiring some of its top evaluation experts. The move fits a familiar Google playbook of striking talent and licensing deals that sidestep antitrust scrutiny, much like its earlier tie-ups with Windsurf and The goal is clear: close the gap with Anthropic's Claude Code and OpenAI's Codex, which have pulled ahead in the fast growing market for AI coding tools. Anthropic wants to build its own chips to run Claude faster and cheaper Anthropic confirmed it is assembling a custom silicon team to design its own AI chips, hiring engineers who will develop hardware and models together so Claude can run faster and at greater scale. The move puts it alongside OpenAI, Google, and Meta, all of which have pushed into custom chips, though building an advanced one can cost close to half a billion dollars. It is the latest piece of a massive infrastructure push that also includes a $15 billion Texas data center campus and deals with $AMZN, $NVDA, $AMD, and Samsung.

Weekly AI Update ANTHROPIC EXPORT CONTROLS LIFTED The U.S. Commerce Department lifted export controls on Anthropic's Claude Fable 5 and Mythos 5, restoring global access to Fable 5 and expanding Mythos 5 availability to approved partners. The move ends a regulatory standoff and removes a potential competitive advantage for Chinese AI developers. META EXPANDS INTO AI CLOUD $META is developing a cloud infrastructure business to sell AI computing power and hosted AI models, positioning itself against AWS, Google Cloud, Microsoft Azure, and $CRWV. The initiative could monetize excess AI infrastructure, helping offset the company's massive investments in data centers and AI chips. MGX CLOSES $49B AI FUND Abu Dhabi-based MGX has closed a $49 billion AI investment fund, one of the largest ever, exceeding its $45 billion target. The fund, a major backer of OpenAI, Anthropic, and xAI, will invest across semiconductors, AI infrastructure, and AI platforms, underscoring continued global capital inflows into the AI sector.

👀 #MediaTek# confirms its AI ASIC collaboration with #Intel’s# EMIB-T advanced packaging. The chipmaker is now pushing 400G SerDes IP to target next-gen ASIC opportunities, including reportedly #Google’s# TPU v10 and Meta’s custom AI chips.💡More: 🔗

The TOP Nasdaq 100 AI related Stocks are now condensed into one ETF base:0x920e753d8d7d5b598063c89b6f06288803448d06 Defiance's US 100 Tech AI Moat ETF base:0x920e753d8d7d5b598063c89b6f06288803448d06 is built to capture the full AI value chain inside the Nasdaq-100, from the semiconductor companies making AI chips to the big tech names putting AI to work. Here are the Top 10 holdings in base:0x920e753d8d7d5b598063c89b6f06288803448d06: 🥇 Micron Technology $MU 6.00% 🥈 Intel $INTC 5.72% 🥉 Advanced Micro Devices $AMD 5.47% 4. KLA Corp $KLAC 5.32% 5. Arm Holdings $ARM 5.28% 6. Tesla $TSLA 4.81% 7. Amazon $AMZN 4.64% 8. Apple $AAPL 4.63% 9. Broadcom $AVGO 4.63% 10. Meta Platforms $META 4.63% Disclosure: @defianceinvest is a WOLF Financial partner. This is for informational purposes only, not financial advice.

Samsung’s AI chip business is making some employees extremely rich in South Korea. After a new bonus agreement, some Samsung semiconductor workers are expected to receive payouts worth hundreds of thousands of dollars due to massive demand for AI chips. Korean news reports say luxury car dealerships in Seoul, including Ferrari and Lamborghini showrooms, are seeing increased interest from Samsung and SK Hynix chip industry employees.

Hard to see a world where US AI hyperscaler capex drops dramatically from $GOOGL to $META. When China entities like 360 go and claim: They now have a "AI cyber nuclear weapon" that can hack Western companies and governments. (Zhou claimed Mythos was like an AI era cyber nuclear weapon, then claimed they built a Chinese equivalent). We're probably witnessing the modern cold war. But instead of nuclear stockpiles, it's racing to build superintelligence both offensively and defensively. With many different "battles" happening concurrently like supply chain export controls between China -> Japan -> US hyperscalers. The funny thing is that everyone still depends on one another: - US with things like rare earths and feedstock from China. - China with EUV to EDA and engineered substrates. So there's still give or takes trades to build up capabilities like Nvidia/AMD AI chips access for rare-earth/magnets access. Which is exactly why it's important for the US to build up rare earths supply chains ASAP. And not piss off allied supply chain chokepoints like European EUV partners with $ASML to Japanese vacuum/furnace makers like Ulvac with things like tariffs, if the US wants to use it as leverage for negotiations. But we're getting dangerously closer to a point where supply chain interdependence is not a deterrent against escalation. Especially as China grows closer to becoming self-reliant. And that might be the tipping point.

This is the moment Chinese AI beat American AI. One of the largest public crypto companies in the world just DUMPED OpenAI and Anthropic. Coinbase switched to open-weight Chinese models from Zhipu and DeepSeek, and shaved nearly 50% off the company's internal AI spending. The numbers are absolutely ridiculous: Running the same enterprise workload through Anthropic's Claude costs $4,811. Running it through Zhipu's GLM 5.2 costs $544. That's a 9x price difference for equivalent output. OpenAI's GPT-5.5 sits in the middle at $3,357. DeepSeek's V4 lands at $1,071. Moonshot's Kimi at $948. On the actual benchmarks: Zhipu's GLM 5.2 scored 62.1 on SWE-bench Pro, the gold standard for coding. OpenAI's GPT-5.5 scored 58.6. One AI researcher called GLM 5.2 "at least as good as Opus 4.8 and GPT 5.5." Another called it "the first open model that can really compete with closed-source systems." The Chinese models are not just cheaper but they are now also beating American models on the benchmarks American companies pay $4,811 per workload for. Coinbase did the math first and reacted - more companies will certainly follow. Now watch what happens to the IPO timeline: Anthropic confidentially filed for an IPO targeting October at a $965 billion valuation. OpenAI followed days later with its own confidential filing. Both companies built their financial models on the assumption that they could keep charging enterprise prices that are 9 to 33x what Chinese competitors charge for the same task. Brian Armstrong publicly proved customers WILL leave. 45% of companies are now spending over $100,000 per month on AI, up from 20% last year. Every one of those customers is one quarterly budget review away from dumping American AI. OpenAI has reportedly already started preparing major token price cuts. Anthropic is expected to follow. And here's the thing... The export controls were supposed to CRUSH Chinese AI. The US government banned American AI chips, restricted model weights, blacklisted Alibaba and Baidu as Chinese military companies, and just banned Anthropic's flagship model from every foreign national on the planet. The entire premise of the American AI valuation bubble is that Washington can keep China two generations behind. But Chinese labs responded by building cheaper, more efficient models on inferior hardware and pricing them at one ninth the cost of the American alternative. And now American companies are voting with their checkbooks. The dominant American labs are valued at nearly $2 trillion combined on the assumption that their pricing power is durable. Coinbase proved it is not, and every customer doing a year-end budget review will be looking at the same math. For investors, the question here is what happens to the Anthropic IPO at $965 billion when the company is being forced to cut prices to defend share against open-weight Chinese models that score higher on the benchmarks. For everyone else, the bigger question is what happens when Washington spent four years and billions of dollars trying to contain Chinese AI, and the only thing that actually shifted in the end was American customers.