Beijing seeks to curb excess AI investment while sustaining growth

China has pledged to rein in excessive competition in AI, signalling Beijing’s desire to avoid wasteful investment while keeping the technology central to its economic strategy.

The National Development and Reform Commission stated that provinces should develop AI in a coordinated manner, leveraging local strengths to prevent duplication and overlap. Officials in China emphasised the importance of orderly flows of talent, capital, and resources.

The move follows President Xi Jinping’s warnings about unchecked local investment. Authorities aim to prevent overcapacity problems, such as those seen in electric vehicles, which have fueled deflationary pressures in other industries.

While global investment in data centres has surged, Beijing is adopting a calibrated approach. The state also vowed stronger national planning and support for private firms, aiming to nurture new domestic leaders in AI.

At the same time, policymakers are pushing to attract private capital into traditional sectors, while considering more central spending on social projects to ease local government debt burdens and stimulate long-term consumption.

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China sets 10-year targets for mass AI adoption

China has set its most ambitious AI adoption targets yet, aiming to embed the technology across industries, governance, and daily life within the next decade.

According to a new State Council directive, AI use should reach 70% of the population by 2027 and 90% by 2030, with a complete shift to what it calls an ‘intelligent society’ by 2035.

The plan would mean nearly one billion Chinese citizens regularly using AI-powered services or devices within two years, a timeline compared to the rapid rise of smartphones.

Although officials acknowledge risks such as opaque models, hallucinations and algorithmic discrimination, the policy calls for frameworks to govern ‘natural persons, digital persons, and intelligent robots’.

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Quantum computing production expands with Shenzhen’s factory project in China

China has begun construction on its first facility dedicated to the production of photonic quantum computers in Shenzhen, Guangdong Province. The project marks a step toward the development of large-scale quantum computing capabilities in the country.

The factory, led by Beijing-based quantum computing company QBoson, is expected to manufacture several dozen photonic quantum computers each year once operations begin.

QBoson’s founder, Wen Kai, explained that photonic quantum computing uses the quantum properties of light and is viewed as a promising path in the field.

Compared with other approaches, it does not require extremely low temperatures to function and offers advantages such as stable operation at room temperature, a higher number of qubits, and longer coherence times.

The upcoming facility will be divided into three core areas: module development, full-system production, and quality testing. Construction is already underway, and equipment installation is scheduled to begin by the end of October.

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Internet platforms in China face new pricing guidelines

China has unveiled draft rules to rein in pricing practices on internet platforms, responding to long-standing complaints from both merchants and consumers about unfair or misleading costs. The proposed measures, announced by the National Development and Reform Commission on 23 August, are designed to make pricing more transparent and equitable across the country’s vast digital marketplace.

The draft regulations would require platforms and merchants to follow standardised pricing guidelines, clearly disclose their rules, and notify users promptly of any fee changes. Authorities in China say prices should be set and adjusted through standardised contracts or formal orders to reduce arbitrary or hidden charges.

The move comes after repeated allegations that major platforms have manipulated prices to their advantage, leaving consumers and smaller sellers at a disadvantage. By tightening oversight, Beijing hopes to rebuild trust in online commerce while ensuring a fairer playing field.

The draft will remain open for public comment for one month, allowing businesses and citizens to weigh in before the measures are finalised.

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NVIDIA eyes recovery in China after export deal ahead of Q2 report

NVIDIA is due to report its Q2 2026 financial results after the US market closes on 27 August, and analysts are expecting strong performance.

Consensus forecasts place revenue at around US $45.9 billion, up about 50 percent year-on-year, driven by ongoing demand for Blackwell GPUs, data centre expansion and redistribution of AI infrastructure investments globally.

Export changes are also pivotal. After entering a deal to resume H20 chip sales to China, despite revenue-sharing conditions, NVIDIA could reclaim as much as US$8 billion during Q2, mitigating past losses caused by restrictions.

Beyond geopolitical shifts, the Blackwell Ultra GPU is central to growth. Offering up to 50 times faster AI inference than earlier models, it is increasingly stocked by cloud providers and hyperscalers. Markets view this as a strategic advantage, fueling long-term AI momentum.

Risks remain. Gross margins may recover from prior pressure due to licensing charges, but margin expansion depends on supply and TAM realisation. China’s policy environment is also uncertain, making future guidance cautious for some analysts.

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Stablecoin growth driven by new Asian currency plans

China is preparing to take a major step in the digital currency race by considering yuan-backed stablecoins, marking a sharp reversal from its earlier tough stance on cryptocurrencies. According to sources, Beijing’s cabinet will soon review a national strategy, with Hong Kong and Shanghai expected to spearhead the rollout thanks to Hong Kong’s recently passed Stablecoins Bill.

The move comes as Japan accelerates its own efforts. JPYC Inc., a Japanese fintech firm, has received regulatory approval to issue a yen-backed stablecoin, also called JPYC. The company plans to sell up to 1 trillion yen ($68 billion) worth of the tokens within three years, each pegged 1:1 to the yen and backed by liquid assets such as government bonds.

These parallel developments in East Asia could challenge the dominance of dollar-backed stablecoins, which currently make up nearly the entire global market. Analysts say the introduction of major Asian currencies into the mix could reshape digital finance and add momentum to regulatory frameworks emerging worldwide.

Stablecoins are increasingly seen as a bridge between traditional finance and digital assets, offering stability that other cryptocurrencies lack. Despite regulatory hurdles and slow adoption, the market is expected to surge to $4 trillion by 2030, signalling how pivotal the latest steps from China and Japan could be for the global financial system.

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Sam Altman says US is misjudging China’s AI rise

OpenAI chief Sam Altman has warned that the US may be underestimating China’s rapid advancement in AI.

Speaking to CNBC, Altman explained that China’s use of open-source models and its manufacturing capacity may allow it to move faster in some areas of development.

He questioned the effectiveness of export controls, noting that chip restrictions may not be enough to curb long-term innovation. Chinese firms like DeepSeek and MoonshotAI are gaining traction with open-weight models that rival US offerings in cost and capability.

Altman’s comments echo concerns voiced earlier by Nvidia’s CEO, who said firms like Huawei continue to grow despite restrictions.

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Sam Altman urges rethink of US–China AI strategy

OpenAI CEO Sam Altman has warned that the United States may be underestimating China’s rapid advances in AI. He argued that export controls on semiconductors are unlikely to be a reliable long-term solution to the global AI race.

At a press briefing in San Francisco, Altman said the competition cannot be reduced to a simple scoreboard. China can expand inference capacity more quickly, even as Washington tightens restrictions on advanced semiconductor exports.

He expressed doubts about the effectiveness of purely policy-driven approaches. ‘You can export-control one thing, but maybe not the right thing… workarounds exist,’ Altman said. He stressed that chip controls may not keep pace with technological realities.

His comments come as US policy becomes increasingly complex. President Trump halted advanced chip supplies in April, while the Biden administration recently allowed ‘China-safe’ chips, requiring Nvidia and AMD to share revenue. Critics call the rules contradictory and difficult to enforce.

Meanwhile, Chinese firms are accelerating efforts to replace US suppliers, with Huawei and others building domestic alternatives. Altman suggested this push for self-sufficiency could undermine Washington’s goals, raising questions about America’s strategy in the AI race.

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Nvidia prepares new AI chip for China amid Washington’s hesitation

As if Trump’s recent shifts in chip export policy regarding the scaled-down chip models were not enough to reopen supply to the Chinese market, after all the earlier tariffs and bans, Nvidia is now quietly developing a new AI chip for China, even as Washington continues to debate how much cutting-edge US technology Beijing should be allowed to access.

According to Nvidia’s latest statements, the chip, codenamed B30A, will be based on Nvidia’s latest Blackwell architecture and is expected to outperform the company’s current China-approved model, the H20.

Namely, the novelty comes just days after President Donald Trump weighed permitting scaled-down versions of Nvidia’s most advanced chips to be sold in China. His comments marked a potential shift in US policy, but the approval remains uncertain, with lawmakers in both parties warning that even weaker versions of top-end chips could still give Beijing an edge in the global AI race.

Technically, the B30A will be less potent than Nvidia’s flagship B300, but it retains advanced features such as high-bandwidth memory and NVLink connectivity, which are crucial for fast data processing.

Nvidia hopes to send early samples to Chinese customers next month, though final specifications have yet to be confirmed.

‘Everything we offer is with full government approval and designed for commercial use,’ the company said in a statement.

The stakes are high, as China accounted for 13% of Nvidia’s revenue last year, and losing that market could push customers toward domestic rivals like Huawei.

Analysts note that Huawei’s chips are improving, particularly in raw computing power, though they still lag in software support and memory performance, areas where Nvidia remains dominant.

At the same time, Beijing has been pushing back. Chinese experts recently raised concerns that Nvidia’s chips could pose security risks, and regulators have reportedly warned Chinese tech firms about buying the H20.

Nvidia denies any such vulnerabilities, but the warnings illustrate how political friction is weighing on commercial strategy.

Alongside the B30A, Nvidia is also preparing another chip, the RTX6000D, built for AI inference rather than training. That model has weaker specifications designed to comply with strict US export thresholds.

Nvidia plans to start shipping small batches of the RTX6000D to Chinese clients as early as September, which seems to indicate that the company is trying to balance Washington’s restrictions with the need to preserve its foothold in one of the world’s most lucrative AI markets.

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China shifts to cold storage for seized crypto

Authorities in China’s Guizhou Province have begun using joint custody centres and cold wallets to manage cryptocurrencies seized from unlawful activities, particularly in Duyun City. The move represents a strategic adjustment amid the country’s ongoing ban on crypto trading.

Adopting cold storage and joint custody addresses practical challenges in preserving and disposing of seized assets. Experts warn that selling seized crypto could breach trading bans, cause risk compliance issues, and cause market disruption.

China’s approach may influence international handling and regulation of digital assets. Analysts suggest these protocols could integrate regulatory compliance with financial stability goals, shaping broader policies for Bitcoin and other cryptocurrencies worldwide.

Scholars describe the current measures as temporary solutions that do not fully align with the nation’s crypto prohibition.

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