Meta Platforms to Invest Heavily in AI to Drive Growth
ByAinvest
Wednesday, Oct 8, 2025 7:51 am ET1min read
META--
Rivos is developing its own GPU, which could help Meta reduce costs and accelerate its AI initiatives. The acquisition comes as Meta continues to invest heavily in AI, with CEO Mark Zuckerberg prioritizing the technology to enhance user experience, improve advertising revenue, and expand into new markets [1].
Meta has been working on its own AI inference chips, known as the Meta Training and Inference Accelerator, but the company still spends billions of dollars annually on GPUs from external partners. The acquisition of Rivos is part of Meta's broader strategy to become more self-sufficient in AI chip development [1].
According to The Information, Rivos was seeking new funding in August with a valuation of $2 billion. The terms of the Meta-Rivos deal remain unclear, but the acquisition is expected to bolster Meta's efforts to develop custom AI inference chips and pursue the goal of 'superintelligence'—AI models capable of performing tasks as well as or better than humans [1].
Meta's investment in AI is part of a broader strategy to stay ahead of competitors like OpenAI and Google under Alphabet Inc. The company has committed to spending up to USD 72 billion in capital expenditures this year, which includes costs related to AI infrastructure [1].
Earlier this year, Meta considered acquiring South Korean chip startup FuriosaAI but was rebuffed. FuriosaAI opted to develop its technology independently [1].
In a separate development, the global User Experience (UX) market is projected to reach USD 40 billion by 2031, growing at a CAGR of 7.5% from 2025 to 2031. The market is driven by technological advancements, expanding applications across industries, and favorable government policies [2].
NVDA--
Meta Platforms plans to spend hundreds of billions of dollars on artificial intelligence to capitalize on its rising effectiveness. Mark Zuckerberg's strategy aims to leverage AI for various business purposes, including enhancing user experience, improving advertising revenue, and expanding into new markets. The investment will enable Meta to stay ahead of competitors and drive long-term growth.
Meta Platforms (META.US) has announced its acquisition of Rivos Inc., a chip startup specializing in Graphics Processing Units (GPUs), which are critical for artificial intelligence (AI) workloads. This strategic move is aimed at strengthening Meta's internal semiconductor development and reducing its reliance on external GPU suppliers like NVIDIA [1].Rivos is developing its own GPU, which could help Meta reduce costs and accelerate its AI initiatives. The acquisition comes as Meta continues to invest heavily in AI, with CEO Mark Zuckerberg prioritizing the technology to enhance user experience, improve advertising revenue, and expand into new markets [1].
Meta has been working on its own AI inference chips, known as the Meta Training and Inference Accelerator, but the company still spends billions of dollars annually on GPUs from external partners. The acquisition of Rivos is part of Meta's broader strategy to become more self-sufficient in AI chip development [1].
According to The Information, Rivos was seeking new funding in August with a valuation of $2 billion. The terms of the Meta-Rivos deal remain unclear, but the acquisition is expected to bolster Meta's efforts to develop custom AI inference chips and pursue the goal of 'superintelligence'—AI models capable of performing tasks as well as or better than humans [1].
Meta's investment in AI is part of a broader strategy to stay ahead of competitors like OpenAI and Google under Alphabet Inc. The company has committed to spending up to USD 72 billion in capital expenditures this year, which includes costs related to AI infrastructure [1].
Earlier this year, Meta considered acquiring South Korean chip startup FuriosaAI but was rebuffed. FuriosaAI opted to develop its technology independently [1].
In a separate development, the global User Experience (UX) market is projected to reach USD 40 billion by 2031, growing at a CAGR of 7.5% from 2025 to 2031. The market is driven by technological advancements, expanding applications across industries, and favorable government policies [2].

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