Tencent has reportedly agreed to a major deal with Oracle that could give the Chinese technology company access to about 100,000 advanced artificial intelligence chips. The deal is worth an estimated $7 billion and has a term of five years, according to a report from the Financial Times cited by Reuters on October 1, 2026.
The chips will sit across several Oracle data centers in Southeast Asia. The report says Tencent agreed to the deal earlier this year. It also says Tencent may pay about 30% of the total value upfront.
The deal has not received a public confirmation from either company. Reuters said it could not verify the report at once, while Oracle and Tencent did not respond to requests for comment. So, the details should be treated as a reported deal rather than a contract that both companies have officially announced.
Even with that point in mind, the reported deal shows how much computing power Tencent needs as it builds its artificial intelligence business. It also shows how access to advanced chips has become a major issue for large technology companies in China.
Why Tencent Needs So Many AI Chips
Artificial intelligence systems need a huge amount of computer power. Large language models, image tools and AI agents all need powerful chips for training and use.
Tencent has increased its focus on these areas in recent years. The company operates some of China’s largest digital services, including WeChat, games, cloud services and online content platforms. AI can affect many of these products.
The reported Oracle deal could give Tencent access to chips that are not available to the company inside China. The Financial Times said the chips are advanced processors, with Nvidia chips among the hardware that such overseas data center deals can provide.
This matters because advanced AI chips have become a key part of the global technology race. A company with access to more high-end chips can train larger models, test more systems and support more users.
For Tencent, the goal appears to be clear: secure enough computer power to support its wider AI plans.
The Deal Is Worth About $7 Billion
The reported value of the agreement is about $7 billion over five years. That makes it one of Tencent’s largest overseas technology infrastructure deals.
The reported structure also includes an upfront payment of about 30%. That would mean an initial payment of roughly $2.1 billion, based on the reported $7 billion total value.
The remaining amount would cover the rest of the five-year lease.
The scale of the deal shows the high cost of AI infrastructure. AI does not only require software and engineers. It also needs data centers, high-speed networks, storage and powerful processors.
For a company such as Tencent, these costs can reach billions of dollars as its AI services grow.
The Financial Times also reported that the cost of the Oracle deal contributed to Tencent’s first negative quarterly free cash flow in more than a decade. Tencent reported Rmb13.8 billion, or about $2 billion, in negative free cash flow in the second quarter, according to the report.
Oracle Data Centers in Southeast Asia
The reported chips will be located at several Oracle data centers in Southeast Asia rather than inside mainland China.
This location is important because of the rules around advanced semiconductor exports. The United States has placed limits on the sale of some advanced AI chips to China.
Those rules have made access to the latest processors harder for Chinese technology companies.
Overseas cloud and data center capacity can provide another route to computer power, subject to applicable rules. The reported Tencent deal is an example of how global cloud infrastructure can connect companies with the hardware they need.
Southeast Asia has become an important data center region as demand for cloud services and AI grows. Large technology firms need more space and more power for their systems, while cloud companies seek to build new capacity in areas that can serve customers across Asia.
Tencent’s reported agreement with Oracle fits into this wider change in the technology sector.
US Chip Rules Add Pressure
The reported deal also comes at a time when the United States has tightened controls on advanced semiconductor exports to China.
The US has said such controls are meant to limit China’s access to certain high-end technology. At the same time, China has pushed for greater use of domestic technology and local chip production.
This creates a difficult situation for Chinese technology companies. They need more advanced hardware to develop AI systems, but some of the most powerful chips are not easy to obtain inside China.
Reuters reported that Chinese companies have sought more AI chip capacity as US export limits have tightened. The Financial Times also said overseas lease deals have become a way for major Chinese technology groups to gain access to high-end processors through data centers outside China.
The issue is not limited to Tencent. Other Chinese technology firms also need large amounts of computing power for AI research and commercial services.
Tencent Is Expanding Its AI Work
The reported chip deal comes as Tencent expands its own AI products.
The company has developed the Hunyuan family of AI models. It has also worked on AI agents and tools for consumers and businesses.
Tencent recently released a preview of a new AI image-generation model for professional creators. The tool can create images from text and also support image-to-image work, according to Reuters.
Tencent is also placing AI tools inside its large digital ecosystem.
One example is Xiaowei, an AI agent linked to WeChat. The system can help users carry out tasks across WeChat’s large network of mini-programs. These tasks can include services such as food orders and bookings.
WeChat has more than 1.4 billion users, according to the Financial Times. That gives Tencent a very large base for the use of new AI services.
AI Agents Are a Major Focus
Tencent is not only focused on chatbots or image tools. It is also developing AI agents that can carry out tasks for users.
An AI agent can receive a request and then take several steps to complete it. For example, instead of only answering a question, an agent could search for a service, select an option and help complete the task.
This type of technology could become important for platforms such as WeChat because the app already offers many services in one place.
Tencent has also developed WorkBuddy, an AI office assistant for computers. The company has placed more attention on AI tools for work and business use.
These products need strong models and large amounts of computer power. That helps explain why Tencent has increased its infrastructure spending.
Tencent’s Capital Spending Has Risen Sharply
Tencent’s spending on infrastructure has grown at a rapid pace.
According to the Financial Times, Tencent’s capital expenditure rose 176% year on year to Rmb53 billion, or about $7.9 billion, in the second quarter. The spending included AI infrastructure and advance payments for computing resources.
That figure gives a clear idea of how expensive the AI race has become.
Companies need to spend large sums before they can earn money from many AI products. They must first secure chips, data centers, software and skilled workers.
Tencent has also hired more senior AI talent and changed parts of its infrastructure and data teams to support its AI plans, according to the Financial Times.
The company is therefore making a broad investment rather than relying on one AI product.
Tencent Is Trying to Close the AI Gap
Tencent has faced strong competition from other Chinese technology companies.
Alibaba has its Qwen AI models, while ByteDance has also made major investments in AI. The Financial Times reported that Tencent’s latest Hunyuan models have improved and have moved closer to leading domestic models such as Qwen.
The need for more computing power is linked to this competition.
Better AI models require more training and testing. Companies also need enough capacity to serve millions of users once a model becomes popular.
For Tencent, the reported Oracle agreement could help it build that capacity at a much larger scale.
Why the Deal Matters Beyond Tencent
The reported agreement is important for more than one company.
It shows that AI has become a major infrastructure business. The race is no longer only about who can create the smartest model. It is also about who can secure enough chips, data center space and electricity to run those models.
It also shows the growing role of cloud companies such as Oracle.
A company does not always need to own every data center or chip it uses. A large lease can give it access to computing resources without direct ownership of all the hardware.
For Tencent, such a structure may provide access to advanced chips outside China while its own AI operations continue to expand.
What Happens Next
The key point now is that the reported $7 billion deal has not been publicly confirmed by Tencent or Oracle. Reuters could not independently verify the report, and both companies did not provide a response to Reuters at the time of its report.
If the reported terms are accurate, however, the agreement would represent a major step in Tencent’s AI infrastructure plan.
The reported access to about 100,000 advanced AI chips, a five-year term, a value of about $7 billion and an upfront payment of around 30% show the scale of resources that Tencent may need for its AI ambitions.
The move also reflects a larger shift in the technology industry. AI companies now need huge amounts of computing power, while governments are placing greater control on access to advanced chips.
Tencent’s next stage will depend on how well it turns this expensive infrastructure into useful AI products. Its large user base, WeChat ecosystem and existing AI models give it several routes to do so.
For now, the reported Oracle deal is a clear sign of how central advanced chips have become to Tencent’s technology strategy.
Also Read – Inox Clean Energy Files ₹10,000 Crore IPO Papers With SEBI