Breaking: Anthropic IPO Targets Trillion Valuation Amid Congressional Push to Ban Chinese AI

Anthropic, the maker of the Claude models, is preparing to go public in an initial public offering that it projects at a valuation between 2.5 trillion dollars and 3 trillion dollars. This valuation stands in stark contrast to the company’s current financial reality. Anthropic carries compute commitments to other companies, including Amazon and Google, of up to 900 billion dollars. The company is running a deficit of about 500 billion dollars and makes less than 20 billion dollars a year in revenue. The gap between the projected 2.5 to 3 trillion dollar valuation and the under 20 billion dollar annual revenue is the core of the question for investors and observers alike. How can a company that loses 500 billion dollars be worth 2.5 to 3 trillion dollars. The answer lies not just in future growth, but in the control Anthropic seeks to exert over the entire ecosystem of artificial intelligence.

The path to this valuation is being paved by a coordinated effort in Washington. Anthropic has demanded that Congress ban Chinese models because of national security, when the real goal appears to be controlling the market. Recently, the company executed a publicity stunt involving its own workforce. It released and circulated media suggesting that AI will take over the world when one of its disgruntled employees, Jacob Coxon, quit amidst his disappointment in AI. This narrative helped generate public panic. The goal was to get the government to pass bills banning models that were a huge threat to Anthropic’s bottom line.

The panic worked as intended. Congress passed a bill that now bans any government and its affiliates from using any Chinese models. This legislative move directly targets the open source market, which has been flooded by advanced Chinese models. These include Kimi from Moonshot AI, DeepSeek, Qwen from Alibaba, and models from Xiaomi. These companies are willing to give the models over to the public to increase innovation. Kimi K3 started to outperform the Opus 5 models from Anthropic, and it was given to the public. The internet used these large language models, quantized them down, and made them usable on smaller machines like Mac Studios, A100 cards and RTX Nvidia models.

Anthropic is now trying to pass bills that would stop other companies like Verizon and other networks from launching their own AI models in house by using these advanced open source models. This strategy aims to lock in the large enterprise customers and prevent the telecom giants from becoming competitors. By restricting who can use which models, Anthropic creates a closed ecosystem where its own products are the default choice for both government and major private entities.

This control extends to the physical infrastructure of the AI industry. Nvidia agreed to acquire Hugging Face, the platform where most open AI models are distributed, for 12.9 billion dollars. Hugging Face makes about 150 to 200 million dollars a year in its peak years, so the 12.9 billion dollar price is about 70 times its revenue. For Nvidia and its CEO Jensen Huang, this sum is pocket change. The stated reason for the acquisition was CUDA, the software that runs all these models, but the deeper reason was control of the distribution of models on the market, especially the open source market.

After Nvidia acquired Hugging Face, advanced models were deleted from distribution. Anything over a quant 4, meaning advanced and capable of beating out Claude's models, was removed. The 4 bit, 6 bit, 8 bit and 16 bit full sized models were banned from the Hugging Face platform. Developers on Discord rallied to stop the censorship and corporate overreach. They opened Pirate Face, a place where you can upload and download all models, but not before the large 400 gigabyte models at quant 3 and higher were scrubbed from the network. This move signals that the open source era is facing significant headwinds from corporate consolidation.

The economics of the GPU market further favor the large players. A single Nvidia RTX Pro 6000 graphics card can hold about 15 to 20 light users running light compute at about 60 to 70 tokens per second. It can also support 1 to 2 heavy coding users running Claude Code at about 40 to 50 tokens per second, assuming constant use 24 hours a day. Each heavy user on the max plan pays 200 dollars a month, while each light user pays about 20 dollars a month on average for a base plan.

An RTX Pro 6000 retails at 20,000 dollars as of now. That does not include the servers, switches, CPUs and processors needed to run the machines, the data center facility costs, or the electricity. Buying the cards from Nvidia direct at a wholesale price of 3,000 to 4,000 dollars, the GPU alone takes about 10 months of a heavy 200 dollar a month user to pay back. It takes about the same for the 15 to 20 light users at 20 dollars a month. Most light users will not use the chat for more than a few hours a day, so the bandwidth number can stretch 10 times, but the breakeven and acquisition cost stays huge.

Nvidia knows the compute and GPU bottleneck is a real problem. It drives demand up and lowers supply, giving all its supply to the large players like Anthropic, Grok and OpenAI. The consumer market is left fitting the bill. This dynamic ensures that smaller competitors struggle to access the hardware needed to train and run advanced models.

Anthropic’s history with its own products also reflects this desire for control. The company released Fable 5 in June 2026. Fable 5 and Mythos 5 were released on June 9, 2026, and Anthropic suspended access to them worldwide on June 12, 2026, after the U.S. Department of Commerce issued an export control directive. The models were solving too many problems, and Anthropic pulled them off the shelf. This was not about winning the AI race; it was about controlling the AI race.