Юань против доллара: почему лишние 37 пунктов бьют по китайскому AI

While we argue about which architecture will better handle logical tasks, the real world reminds us of itself through dry reports of exchange rates. The publication 36Kr reported that the People's Bank of China set the midpoint rate of the yuan against the dollar at 6.9570.

This represents a decline of 37 basis points compared to the previous trading day. The figures seem microscopic, but on the scale of the technology sector, this is an important indicator. To understand the context, we need to recall how the Chinese AI market works.

Despite active development of domestic chip production by companies like Moore Threads or Biren, top laboratories still depend on Western technologies. Even if purchases occur through intermediaries or complex parallel import schemes, payments are always tied to the American currency. When the yuan weakens, the cost of training models for Chinese companies automatically increases.

Yesterday's official closing rate of 6.9376 already hinted at volatility, and overnight trading confirmed the trend, closing at 6.9450.

Why is this important right now? The AI industry in China is in a stage of "war of attrition." Companies spend billions of yuan on GPU purchases and cloud computing rental.

A 37-point weakening of the currency is not just a statistical error, but a direct blow to the profitability of startups. If you're building a cluster with 10,000 cards, the difference in exchange rate turns into a huge sum that will have to be taken from the R&D or engineer salaries budget. This creates additional pressure on a sector that already suffers from restrictions on access to advanced lithography equipment.

Moreover, this currency dynamics makes investors nervous. Venture capital in China is now extremely cautious. When infrastructure costs increase due to macroeconomic factors, project payback periods are pushed back even further.

We see how Beijing's financial policy tries to balance between supporting exports and the need to maintain purchasing power for importing critical technologies. For LLM developers, this means only one thing: either you need to transition faster to domestic accelerators, or find ways to optimize algorithms to reduce dependence on expensive hardware. The connection between the currency market and the speed of neural network training seems non-obvious at first glance.

In reality, every time a regulator lowers the yuan's value, it indirectly slows the pace of the technological race. In conditions where OpenAI and Anthropic set a frantic pace, any financial weight on the feet of Chinese developers could be decisive. The industry is carefully watching whether the exchange rate will settle above the psychological mark of 7 yuan per dollar, as this will signal a revision of long-term planning strategies.

The main point: yuan weakening makes imported chips more expensive, forcing Chinese AI companies to accelerate import substitution or accept rising costs. Will local chip manufacturers be able to take advantage of this moment?