Tech
tech
Jon Keegan

Anthropic raises $30 billion, now valued at $380 billion

Anthropic is now valued at $380 billion, after closing on its latest round of fundraising, taking in $30 billion from a wide range of investors. The Series G round was co-led by D. E. Shaw Ventures, Dragoneer, Founders Fund, ICONIQ, and the UAE’s investment arm, MGX.

Some other investors include: Qatar Investment Authority (QIA), Sequoia Capital, Fidelity Management & Research Company, JPMorgan Chase, Lightspeed Venture Partners, Microsoft, and Nvidia.

Anthropic offered a few details on the current state of its business:

  • Anthropic said that its annual run-rate revenue has reached $14 billion, seeing 10x growth each of the past three years.

  • “The number of customers spending over $100,000 annually on Claude (as represented by run-rate revenue) has grown 7x in the past year.”

  • “Claude Code’s run-rate revenue has grown to over $2.5 billion; this figure has more than doubled since the beginning of 2026.”

  • Business subscriptions to Claude Code have quadrupled since the start of 2026.

In a blog post announcing the round, the company said:

“We train and run Claude on a diversified range of AI hardware — AWS Trainium, Google TPUs, and NVIDIA GPUs — which means we can match workloads to the chips best suited for them. This diversity of platforms translates to better performance and greater resilience for the enterprise customers that depend on Claude for critical work.”

Anthropic raises $30 billion in Series G funding at $380 billion post-money valuation

Anthropic raises $30 billion in Series G funding at $380 billion post-money valuation

Anthropic offered a few details on the current state of its business:

  • Anthropic said that its annual run-rate revenue has reached $14 billion, seeing 10x growth each of the past three years.

  • “The number of customers spending over $100,000 annually on Claude (as represented by run-rate revenue) has grown 7x in the past year.”

  • “Claude Code’s run-rate revenue has grown to over $2.5 billion; this figure has more than doubled since the beginning of 2026.”

  • Business subscriptions to Claude Code have quadrupled since the start of 2026.

In a blog post announcing the round, the company said:

“We train and run Claude on a diversified range of AI hardware — AWS Trainium, Google TPUs, and NVIDIA GPUs — which means we can match workloads to the chips best suited for them. This diversity of platforms translates to better performance and greater resilience for the enterprise customers that depend on Claude for critical work.”

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Rani Molla
Let Tim Cook
3h
Apple is on its way to becoming the biggest smartphone seller in China

The memory crunch has made iPhones a more popular alternative as competitors’ prices rise.

CHINA-ECONOMY-FORUM
tech
Jon Keegan

Microsoft loses exclusive access to OpenAI’s models and tools while ending revenue-sharing deal with ChatGPT maker

Microsoft shares dropped as it announced a revised agreement with OpenAI.

The amended agreement ends revenue-sharing payments from Microsoft to OpenAI, and also ends Microsoft’s exclusive access to OpenAI’s intellectual property (i.e. models and products).

OpenAI’s revenue sharing with Microsoft will end in 2030, is subject to a total cap, and is no longer dependent on its achieving artificial general intelligence.

Amazon, a likely beneficiary of this lack of exclusivity, initially popped on the news but erased those gains.

This is a developing story.

The next phase of the Microsoft-OpenAI partnership - The Official Microsoft Blog

The next phase of the Microsoft-OpenAI partnership - The Official Microsoft Blog
tech
Rani Molla

China just blew up one of Meta’s key AI bets

China has ordered Meta to unwind its $2 billion acquisition of Manus, a Chinese startup (since relocated to Singapore) that makes AI agents and was central to Meta’s push to turn its massive AI investments into a real business. The move is part of the Chinese government’s effort to stop US firms from gaining access to Chinese talent and intellectual property, as Washington continues to restrict sales of advanced AI chips to Chinese companies.

Unlike its tech peers, which can sell AI through cloud services, Meta mainly uses AI to improve its existing ad business rather than as a stand-alone revenue driver. The decision strips away one of Meta’s clearest paths to monetizing AI — leaving it spending like a hyperscaler, without a hyperscaler business model.

China blocks Meta's $2 billion acquisition of AI startup Manus

China blocks Meta's $2 billion acquisition of AI startup Manus

Unlike its tech peers, which can sell AI through cloud services, Meta mainly uses AI to improve its existing ad business rather than as a stand-alone revenue driver. The decision strips away one of Meta’s clearest paths to monetizing AI — leaving it spending like a hyperscaler, without a hyperscaler business model.

tech
Jon Keegan

DeepSeek releases new V4 series models highlighting efficiency and long context

Chinese AI lab DeepSeek has released a major new version of its eponymous open-source AI models that are nipping at the heels of leading frontier models in some areas.

The most significant DeepSeek-V4 Pro and DeepSeek-V4 Flash both have a 1 million-token context — the amount of information the model can actively work with in a single session — which is a crucial feature for complex, long-running coding tasks.

DeepSeek rebuilt how the models process information under the hood, making them substantially more efficient — and that efficiency is what makes the large context window actually usable.

Also, the new models’ coding skills have closed the gap with the major frontier models from Anthropic, OpenAI, and Google.

The authors of the model acknowledge some of V4’s shortcomings, such as its lower scores on reasoning benchmarks, saying that V4 “trails state-of-the-art frontier models by approximately 3 to 6 months.”

As open-weight models, V4 can be run on any user’s own hardware, making the V4 models among the top-performing open-source models out there. V4’s large context and token efficiency are especially significant among open-source models.

But like with earlier DeepSeek models, don’t ask it about Tiananmen Square.

DeepSeek Unveils Flagship AI Model a Year After Breakthrough

DeepSeek Unveils Flagship AI Model a Year After Breakthrough

DeepSeek rebuilt how the models process information under the hood, making them substantially more efficient — and that efficiency is what makes the large context window actually usable.

Also, the new models’ coding skills have closed the gap with the major frontier models from Anthropic, OpenAI, and Google.

The authors of the model acknowledge some of V4’s shortcomings, such as its lower scores on reasoning benchmarks, saying that V4 “trails state-of-the-art frontier models by approximately 3 to 6 months.”

As open-weight models, V4 can be run on any user’s own hardware, making the V4 models among the top-performing open-source models out there. V4’s large context and token efficiency are especially significant among open-source models.

But like with earlier DeepSeek models, don’t ask it about Tiananmen Square.

$28.5T
Rani Molla

SpaceX thinks its total addressable market (TAM) is a whopping $28.5 trillion for its businesses, according to an S-1 filing for its upcoming IPO reviewed by Reuters. And most of that market isn’t rockets. The company says roughly 90% could come from AI — largely selling artificial intelligence tools to businesses.

“We believe that our enterprise strategy, which is focused on serving the digital needs of the world’s largest industries with Al solutions, positions us competitively to pursue this rapidly ⁠growing opportunity,” ​SpaceX said in the filing. “We believe we have identified the largest actionable total addressable market in human ​history.”

TAM, of course, assumes capturing every possible customer. But even a small slice of a $28.5 trillion market would be enormous.

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