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Tencent forgoes instant compute rental profits to build own AI models and token-based products
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Tencent says it could recover depreciation costs almost immediately by renting its $53 billion Q2 capex as compute infrastructure, but is instead allocating that capacity to building state-of-the-art models and AI applications it expects will yield superior long-term economic returns.
Only one feed carried this story, so corroboration is limited. The decision illustrates a strategic fork between companies acting as neoclouds that rent GPU capacity and those betting on proprietary AI products, with Tencent explicitly choosing the latter despite investor skepticism.
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Tencent reported $53 billion in Q2 capital expenditure and says it has offers to rent that compute at more than 30 percent profit above prices paid just months ago.
The company is instead building its own models, including the released Hunyuan-3 and forthcoming Hunyuan-4, and embedding AI into products like WorkBuddy and CodeBuddy.
Investors reacted negatively, with shares dipping around three percent since the earnings announcement.
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