🇨🇳 🇺🇸 China may not have won the frontier AI race yet but it is clearly winning the usage, cost, and adoption battles.

📈 On OpenRouter, weekly usage of Chinese AI models has surged since the start of 2026 to the point where it now far exceeds US models on the platform. OpenRouter does not represent the entire AI market, nor the revenues of OpenAI, Anthropic, Google, or Microsoft, but it is a strong signal of developer/API usage meaning an actual form of demand.

➡️ Chinese models do not need to be the best in the world across every benchmark to become dangerous. They mainly need to be good enough, much cheaper, easy to integrate and capable of addressing the majority of use cases. For many companies, the priority isn't necessarily to access the most powerful model but to use a reliable, fast, affordable and scalable one.

⚠️ However, more tokens do not necessarily mean more revenue but this clearly shows that competitive pressure is rising. If Chinese models continue to gain usage, they could put pressure on pricing, margins, and the premium attached to closed US models. For me, the narrative that American models will capture everything is becoming too simplistic.

The next phase of AI will obviously be a monetization battle.

H100 rental price comparison: US vs China.

The market is currently looking at $SIVE through a very narrow lens, completely missing how the company is embedding itself into the multi-billion-dollar geopolitical space race.

While short-term noise dominates retail trading forums, a massive structural catalyst is quietly playing out through Europe's sovereign satellite mega-constellation, IRIS².

When the European Union realized that its critical communication and defense infrastructure was entirely dependent on foreign commercial entities like Elon Musk's Starlink, it launched IRIS² to guarantee European digital autonomy.

While mainstream headlines focus heavily on the aerospace giants building the actual satellites, smart capital looks at the critical hardware bottlenecks on the ground.

A satellite constellation is useless without millions of high-performance ground terminals to connect to it.

This is exactly where $SIVE holds an unappreciated technological and regional monopoly.

Because of the strict European mandate for strategic sovereignty, the core technology powering this network cannot be outsourced to American or Asian foundries.

Sivers is effectively the only commercial merchant silicon vendor within European borders capable of delivering the high-frequency beamforming chips required for these tactical satellite terminals.

The definitive evidence of their moat is hidden in their recent corporate disclosures.

Multiple tier-one terminal manufacturers bidding for the massive EU volume contracts have already integrated $SIVE silicon into their official prototype designs.

In the semiconductor industry, once a proprietary chip is baked into the fundamental architecture of a hardware prototype, the technical switching costs are too high for a client to pivot.

This means $SIVE has effectively hedged its bets.

No matter which of these manufacturing giants wins the final European Union contracts, $SIVE secures the volume production orders.

The European Space Agency recognized this strategic value early on, which is why they are actively subsidizing $SIVE next-generation phased-array research and development.

This goes far beyond standard commercial tech hype. $SIVE is quietly building Western geopolitical infrastructure.

THIS IS ABSOLUTELY INSANE.

A company's AI bill jumped 700% in a single day because Anthropic changed how it charged for AI usage.

Workato had been paying one flat monthly fee to use Anthropic's AI. In May, Anthropic moved them to pay per token pricing, where every single prompt costs real money. The bill went up 7 times overnight.

Its own CIO said AI companies had been subsidizing usage for years just to get everyone hooked, and the moment that stopped, the real cost hit all at once.

This is happening everywhere right now, not just at one company.

Amazon, Walmart, Cisco, Uber, and Meta are all now capping how much AI their own employees can use.

These are the exact companies that spent the last two years forcing AI onto every employee as fast as possible.

Uber burned through its entire 2026 AI budget by April and now caps employees at $1,500 a month.

Amazon told staff to stop using AI "just for the sake of using it" after engineers were caught running agents just to climb internal leaderboards.

JPMorgan published an internal note this month titled "AI Bills Are Out of Control." Some JPMorgan employees are reportedly spending more on AI every month than their own salary.

Here is why this is not just a cost story inside a few companies.

It is a direct threat to two trillion-dollar IPOs.

OpenAI and Anthropic both filed confidentially for IPOs this month, both targeting valuations near $850 billion or higher, and neither company is profitable. OpenAI reportedly loses $1.22 for every dollar of revenue it makes.

OpenAI's losses tell the same story from a different angle. In 2024, OpenAI lost $5.09 billion. In 2025, that loss grew to $38.5 billion, nearly 8 times higher in a single year. Costs are growing faster than revenue at exactly the moment OpenAI needs Wall Street to believe the opposite is happening.

Their entire pitch to public investors is that enterprise spending keeps climbing. The exact backlash forcing Amazon and Uber to cut back is happening at the precise moment both companies need Wall Street to believe the opposite.

OpenAI already sees the danger. The Wall Street Journal reported this week that OpenAI is weighing steep token price cuts specifically to stop losing customers to Anthropic, whose Claude Code product helped its revenue jump from $9 billion to $47 billion annualized in five months.

But cutting prices only works until someone undercuts you.

Artificial Analysis benchmarked every major AI model on identical tasks and tracked the total cost. Anthropic's flagship model cost $4,811 to run the full test.

OpenAI's cost $3,357. China's DeepSeek cost $1,071. Another Chinese model, Kimi, cost $948. China is not trying to match American AI on quality. It is making premium priced AI look completely unnecessary.

Bain surveyed nearly 1,000 companies on AI returns. 40% said their actual cost savings came in below 10%, despite everything they spent.

One investor told Axios that a CFO accidentally spent half a billion dollars on Claude in a single month before anyone even noticed.

OpenAI and Anthropic are about to ask public markets to value them like the future of software itself.

Their own biggest customers are proving in real time that they will not pay whatever it costs to get there.