Intel’s Google AI Chip Win Tests Foundry Turnaround And Nvidia Trials
Find your next quality investment with Simply Wall St’s easy and powerful screener, trusted by over 7 million individual investors worldwide. Google has selected Intel to manufacture more than 3,000,000 tensor processing units, with production targeted for 2028. The order represents Intel Foundry’s largest external manufacturing commitment to date for advanced AI chips. Nvidia is…
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Google has selected Intel to manufacture more than 3,000,000 tensor processing units, with production targeted for 2028.
The order represents Intel Foundry’s largest external manufacturing commitment to date for advanced AI chips.
Nvidia is running early trials on Intel’s 18A process and packaging technology for potential future GPUs.
Intel (NasdaqGS:INTC) is drawing fresh attention after securing a large AI chip manufacturing order from Alphabet’s Google, alongside early process trials from Nvidia. The stock last closed at $107.92, with very large 1 year gains and a 174.0% return year to date. These moves come after a period where the share price is down 13.6% over the past month, showing how quickly sentiment around AI exposure can swing.
For investors watching Intel’s effort to build a competitive foundry business, confirmed orders and active trials from top tier AI customers are central data points. These developments give the market clearer visibility on potential multi year manufacturing demand and help frame how Intel’s AI and foundry story might evolve from here.
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We’ve flagged 3 risks for Intel. See which could impact your investment.
For Intel, Google’s confirmed order for more than 3,000,000 tensor processing units and Nvidia’s early trials on the 18A node land directly in the middle of its foundry turnaround. You now have one hyperscaler committing to volume on Intel’s advanced packaging and process technology, and another high profile GPU designer actively testing whether future chips could run on the same stack. That sits alongside fresh alliances with Hitachi, Foxconn and Cadence, all of which are aimed at tightening Intel’s grip across design tools, manufacturing equipment and AI infrastructure. Together, these deals suggest Intel is being treated less as a legacy CPU supplier and more as a potential second-source manufacturing partner to Taiwan Semiconductor for AI hardware, while still competing with Nvidia and AMD at the product level. The flip side is that Intel’s foundry unit remains loss making and capital intensive, so investors are essentially watching a race between firming multi year demand signals like Google’s order and the cash burn needed to meet them.
How This Fits Into The Intel Narrative
This news supports the narrative that AI partnerships and a stronger foundry plus packaging offering are central to Intel’s future, because Google, Nvidia, Tesla and Hitachi are now tied to its leading edge processes and advanced packaging roadmap.
It also tests the narrative’s concern about organizational complexity and execution, since simultaneously serving Google TPUs, potential Nvidia GPUs and large industrial collaborations raises the bar for on time delivery and yield improvement.
The specific supply chain diversification angle, where hyperscalers look beyond Taiwan Semiconductor for AI capacity, is only partially reflected in the narrative and may not fully capture how diversification benefits Intel’s bargaining power and project pipeline.
Knowing what a company is worth starts with understanding its story. Check out one of the top narratives in the Simply Wall St Community for Intel to help decide what it’s worth to you.
The Risks and Rewards Investors Should Consider
⚠️ Converting a large external order into attractive margins is not guaranteed, and Intel’s loss making foundry segment means any cost overruns or yield issues on 18A could weigh on results even with headline customer wins.
⚠️ Competition from Taiwan Semiconductor on manufacturing and from Nvidia and AMD on AI chips remains intense, so if Google or Nvidia limit volumes or keep Intel as a backup supplier, the impact on long term earnings could be smaller than headlines suggest.
🎁 A committed Google TPU order tied to Intel’s packaging and process technology provides tangible multi year demand visibility and a reference account that other AI chip designers may pay attention to when considering second source options.
🎁 Nvidia’s evaluation of Intel’s most advanced process, alongside existing deals with Hitachi, Foxconn and others, gives Intel more chances to embed itself in AI data center build outs and industrial AI projects that often run on long contract cycles.
What To Watch Going Forward
From here, focus on whether more concrete contracts follow the Nvidia trials, how Intel discloses pricing and profitability for external foundry deals, and whether 18A and advanced packaging ramp without major delays. Any updates on capacity expansions, government co funding and customer mix between internal products and external clients will help you judge if Intel is becoming a durable alternative manufacturing partner to Taiwan Semiconductor or mainly capturing one off AI projects. It is also worth tracking how often Intel’s AI and foundry collaborations show up in segment revenue and cash flow, not just in partnership announcements.
To ensure you’re always in the loop on how the latest news impacts the investment narrative for Intel, head to the community page for Intel to never miss an update on the top community narratives.
This article by Simply Wall St is general in nature. We provide commentary based on historical data and analyst forecasts only using an unbiased methodology and our articles are not intended to be financial advice. It does not constitute a recommendation to buy or sell any stock, and does not take account of your objectives, or your financial situation. We aim to bring you long-term focused analysis driven by fundamental data. Note that our analysis may not factor in the latest price-sensitive company announcements or qualitative material. Simply Wall St has no position in any stocks mentioned.
Companies discussed in this article include INTC.
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