Big Tech
Oracle Reportedly Cancels $7B Tencent AI Chip Deal Amid US Pressure

Oracle has reportedly canceled a $7 billion agreement to provide Tencent with access to advanced AI chips through overseas data centers, following pressure from US officials.
Access to advanced computing power is becoming a critical challenge for Chinese artificial intelligence companies as US export restrictions limit the availability of high-performance semiconductors. To maintain their AI development capabilities, several technology firms have increasingly relied on overseas cloud providers, creating a growing market for computing infrastructure outside China.
However, these arrangements are facing greater political scrutiny.
US cloud computing company Oracle has reportedly canceled a $7 billion agreement to lease advanced AI chips to Chinese technology giant Tencent following pressure from the Trump administration, according to the Financial Times.
The reported cancellation follows concerns raised by US officials over the agreement, which would have provided Tencent with access to approximately 100,000 advanced AI chips through Oracle data centers in Southeast Asia.
The five-year contract, previously reported by the Financial Times, was expected to become Tencent's largest overseas chip-leasing agreement.
The chips covered by the arrangement are not available in China because of restrictions imposed by Washington and Beijing.
Reuters said it could not independently verify the reported cancellation. Oracle, Tencent, and the White House had not responded to requests for comment at the time of its report.
US and Chinese Pressure Complicates AI Infrastructure Deals
The reported termination comes as technology companies navigate competing pressures from Washington and Beijing over access to advanced semiconductors.
US officials reportedly approached Oracle to express concerns about the agreement, while senior Chinese officials in Guangdong, where Tencent is headquartered, urged the company to prioritize domestically developed chips.
For Tencent, the arrangement would have provided additional computing capacity to support its expanding AI operations without requiring the physical importation of restricted processors into China.
Overseas chip leasing has become an important option for Chinese AI developers seeking access to computing resources that remain difficult to obtain domestically.
The distinction between importing advanced processors and accessing them remotely through cloud infrastructure has also raised questions about the scope of existing US export controls.
A Congressional Research Service report published in April 2026 highlighted concerns that overseas cloud services could allow foreign companies to access advanced computing capabilities despite restrictions on physical chip shipments.
The pressure is not limited to Oracle.
In a separate development, the Financial Times reported on November 3 that Nvidia had instructed cloud computing partners to allocate at least 51% of their services to non-Chinese customers.
According to the report, the instructions were communicated verbally and apply to future contracts.
Taken together, the developments suggest that access to advanced AI computing infrastructure is becoming subject to greater scrutiny, even when the hardware operates outside China.
What This Means for the Global AI Cloud Market
The reported cancellation highlights the growing commercial risks facing cloud infrastructure providers as geopolitical tensions influence access to advanced computing resources.
For companies such as Oracle, agreements with major Chinese technology firms represent potentially significant revenue opportunities, particularly as demand for AI processing capacity continues to grow.
However, the reported breakdown of a contract valued at approximately $7 billion illustrates how political intervention can disrupt even large-scale, long-term infrastructure arrangements.
For Tencent and other Chinese AI developers, reduced access to overseas computing resources could complicate AI expansion plans and increase pressure to adopt domestically developed alternatives.
The implications also extend to Southeast Asia, where data center operators have benefited from demand for advanced computing capacity from Chinese technology companies.
As AI infrastructure becomes increasingly tied to national security and technology policy, cloud providers may face more complex decisions about customer access, capacity allocation, and long-term investment.
The commercial success of international AI infrastructure projects will therefore depend not only on computing demand and available capacity, but also on regulatory stability and the ability to maintain access to customers across competing technology markets.





