China's Central Bank Floods the Market With Liquidity: 75 Billion Yuan to Keep Things Afloat (Chips Included)

The People's Bank of China (PBOC) ran a 75 billion yuan reverse repo operation at 1.40%. These aren't just dull banking figures: this is vital liquidity for China's tech sector, which is currently burning billions on model training. The unchanged rate signals that Beijing isn't planning any sharp moves and prefers gentle support for the economy. For AI startups, the message is clear: there's money in the system, so they can keep buying chips and building new data centers in Shenzhen.

AI-processed from 36Kr (36氪); edited by Hamidun News
China's Central Bank Floods the Market With Liquidity: 75 Billion Yuan to Keep Things Afloat (Chips Included)
Source: 36Kr (36氪). Collage: Hamidun News.
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While we argue about parameter counts in new models and GPU teraflops, Beijing is dealing with a simpler and more important question: where to find the money to keep all of it running. Today, the People's Bank of China (PBOC) injected 75 billion yuan into the financial system through its seven-day reverse repo facility. It held the rate at 1.

40%. Under current conditions, that looks like an attempt to preserve the status quo: the economy is in rough waters, and the tech sector needs ever more resources to survive its arms race with the US. For anyone who skipped macroeconomics class, here's the short version: in a reverse repo, the central bank buys securities from commercial banks and commits to selling them back a week later.

In effect, it's a short-term loan to the system. Why should we care? Simple: Chinese AI companies, from giants like Baidu to scrappy startups like Baichuan, live in a constant cash-burn mode.

Training large language models demands enormous infrastructure spending, and access to cheap, fast money is what keeps them from shutting down tomorrow morning. The interesting part isn't so much the number of zeros as the stable rate. Holding it at 1.

40% tells the market that the regulator has no intention of tightening the screws. US export restrictions on Nvidia chips are forcing Chinese companies to overpay for "gray" imports or pour staggering sums into developing homegrown accelerators from Moore Threads and Biren. In that environment, any instability in the banking sector could prove fatal.

Beijing understands this and is carefully lending a shoulder. Looking at the context of recent months, China is desperately trying to stimulate domestic demand. The problem is that China's AI industry is now caught in a "double squeeze."

On one side are external pressure and sanctions; on the other is the need to prove to investors that state money poured into "digital transformation" is paying off. Today's 75 billion is a drop in the ocean compared with total debt, but it's an important psychological gesture. It signals to venture funds that there's liquidity in the system and that they can keep feeding local LLM developers with promises (and money).

It's also worth noting that the 7-day cycle of these operations lets the central bank respond to changes very flexibly. If panic hits the market tomorrow over new technology export restrictions, we'll see not 75 billion but a full 750 billion. For now, we're watching "life support" mode.

For the AI industry, that means plans to build new server clusters in Guangdong remain in place, and engineers can sleep soundly: next month's paycheck will arrive. The bottom line: Beijing keeps playing the cautious gardener, watering the tech sector just enough so it doesn't dry out but doesn't overheat either. Whether this liquidity will be enough for a real breakthrough toward AGI is an open question, but without such injections, China's AI locomotive risks stalling on the tracks much earlier than planned.

*Meta is designated an extremist organization and banned in the Russian Federation.

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Zhemal Khamidun — CPO at Alpina Digital, product manager of AlpinaGPT. Building AI products since 2019. Hamidun News is a pet project that grew into a production aggregator with 6,000+ readers.
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