OpenAI Partners with Broadcom on Custom Chips, Shares Jump 10% – The Tech Buzz

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OpenAI Partners with Broadcom on Custom Chips, Shares Jump 10%
Broadcom surges after announcing OpenAI chip partnership, raising questions about Nvidia
PUBLISHED: Tue, Oct 14, 2025, 2:04 AM UTC | UPDATED: Thu, Jan 29, 2026, 1:22 AM UTC
3 mins read
OpenAI partners with Broadcom to build custom AI chips, targeting 10 gigawatts of capacity
Broadcom stock surged nearly 10% on the partnership announcement
The deal raises questions about OpenAI's relationship with primary chip supplier Nvidia
Deployment expected to begin late 2026 as OpenAI diversifies its hardware strategy
OpenAI just expanded its silicon strategy beyond Nvidia, announcing a partnership with Broadcom to develop custom AI chips. The news sent Broadcom shares soaring almost 10% as investors bet on the chipmaker's ability to capture a slice of the AI infrastructure boom. The move signals OpenAI's push for hardware independence as it scales ChatGPT and other AI services.
OpenAI is reshuffling the AI chip game with a surprise partnership that has Wall Street buzzing. The ChatGPT maker announced Monday it's teaming up with Broadcom to develop and deploy custom AI chips, sending Broadcom shares up nearly 10% in a single trading session.
The partnership targets an ambitious 10 gigawatts of chip capacity, with deployment scheduled to begin late next year. That's enough processing power to run millions of ChatGPT conversations simultaneously – a massive scale-up that reflects OpenAI's explosive growth trajectory.
But here's where it gets interesting: this move puts OpenAI's cozy relationship with Nvidia under the spotlight. The AI startup has been heavily dependent on Nvidia's H100 and upcoming Blackwell chips to power its models. Now OpenAI is essentially saying it wants to build its own silicon roadmap.
"OpenAI is starting to look like the tech sector's Santa Claus," as one market observer put it. The company's partnerships keep delivering gifts to chip companies, with Broadcom being the latest beneficiary.
The timing couldn't be better for Broadcom. While Nvidia has dominated headlines with its AI chip supremacy, Broadcom has been quietly building its custom silicon capabilities. The company already designs chips for major cloud providers and has the manufacturing partnerships to scale quickly.
For OpenAI, this represents a critical step toward hardware independence. Building custom chips allows the company to optimize performance specifically for its models while potentially reducing costs. It's a page borrowed from tech giants like Google with its TPUs and Amazon with its Graviton processors.
The market reaction tells the whole story – investors see this as validation of Broadcom's AI strategy. The stock surge reflects confidence that the company can execute on this massive deployment while maintaining its existing business lines.
Industry watchers are now questioning what this means for Nvidia's dominance in AI chips. While OpenAI isn't abandoning Nvidia entirely, the partnership signals a broader trend of AI companies seeking chip diversification. It's reminiscent of how cloud providers reduced their dependence on Intel by developing custom ARM processors.
The 10-gigawatt target is particularly noteworthy – it represents a significant portion of global AI chip capacity. If OpenAI and Broadcom can deliver on this timeline, it could reshape the competitive landscape for AI infrastructure.
Market dynamics are shifting rapidly in the AI chip space. What started as Nvidia's monopoly is evolving into a more complex ecosystem where custom silicon providers like Broadcom can carve out significant positions alongside established players.
OpenAI's chip partnership with Broadcom marks a pivotal moment in AI infrastructure. While the deal validates Broadcom's custom silicon strategy and drives impressive stock gains, it also signals the beginning of the end for Nvidia's AI chip monopoly. As deployment begins next year, this partnership could accelerate the industry's shift toward diverse, specialized AI hardware ecosystems.
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