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Apple is preparing to mass-produce its own AI-focused server chips in the second half of 2026 amid reliance on a short-term partnership with Google to meet immediate AI expectations, according to analyst Ming-Chi Kuo.

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In a new post on X, Kuo said that Apple is facing mounting short-term pressure in artificial intelligence that is shaping its current strategy, even as it continues to pursue long-term control over core AI technologies.

Kuo explained that Apple has encountered two immediate challenges in its in-house AI development that have effectively pushed it toward partnering with Google. The first is the need for a credible AI showing at WWDC later this year after previously announcing Apple Intelligence and significant Siri upgrades that have yet to materialize. The second is the rapid pace of improvement in cloud-based AI systems, which has raised expectations to a level where simply delivering on earlier promises may no longer be enough.

Kuo argues that as AI capabilities have advanced, user perceptions of what constitutes a competitive assistant or system-level AI have shifted. In that context, even a fully delivered version of Apple Intelligence as it was originally presented could struggle to stand out, particularly without access to more powerful large-scale models. This has apparently driven an urgent need for Apple to supplement its current approach with more capable AI models from other companies.

Kuo described Apple's AI deal with Google as a way to ease short-term pressure rather than a long-term strategic shift. He said on-device AI is unlikely to drive hardware sales in the near term, but the partnership gives Apple time to manage expectations across its platforms while continuing its own AI development. Over the longer term, Kuo said AI is expected to become central to hardware differentiation, operating system design, and the overall user experience, making ownership of core AI technologies increasingly important.

He added that Apple's in-house AI server chips are expected to enter mass production in the second half of 2026, with Apple-operated data centers coming online in 2027. Kuo said this timing suggests Apple expects demand for on-device and hybrid AI workloads to grow more meaningfully from 2027, as it gains greater control over its server-side computing and infrastructure.

Article Link: Kuo: Apple's AI Deal With Google Is Temporary and Buys It Time
 
So, yesterday there was an “article” claiming that Apple is “losing” share at TSMC, today, the “supply chain guru” says Apple server chips hit mass production in the next 9 months or so, hmm …
Kuo, stick to what you’re an expert at …
 
Figured, let the rest take the financial risks and then when it matures either pick-up a fire sale on the equipment or business and integrate your own into it. Wait and See approach.
 
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So, yesterday there was an “article” claiming that Apple is “losing” share at TSMC, today, the “supply chain guru” says Apple server chips hit mass production in the next 9 months or so, hmm …
Kuo, stick to what you’re an expert at …
TSMC is probably looking to diversify and profit from the AI hype, can you fault them. Contracts with Apple still exist it may mean adding extra production or a negotiable tactic for Apple to pay more.
 
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No chance this is temporary. While I agree that on-device AI at the moment isn't a major driving factor for hardware sales, as AI becomes more advanced and more ambient in nature, more people will be convinced of the benefits and by far Google's Gemini is the furthest along at making this future a reality. ChatGPT, Claude and the like have their place but no one has the position Google has in the marketplace.
 
To be honest, I do not see it happening.

Apple is behind on data centre investment, has lost a lot of top AI talent, and is playing catch-up in that space. Also, most Apple users do not really care whether the intelligence comes from Apple or a partner.

Apple is a platform company. It does not need to be best at everything, just good enough and well integrated. Partnering with Google would be pragmatic, but it also quietly admits where Apple currently is in AI.
 
So, yesterday there was an “article” claiming that Apple is “losing” share at TSMC, today, the “supply chain guru” says Apple server chips hit mass production in the next 9 months or so, hmm …
Kuo, stick to what you’re an expert at …
Both statements can be true.

1) Apple losing share at TSMC means TSMC is diversifying their revenue so it's less dependent on Apple. In other words, the amount (percentage-wise) of revenue TSMC gets from Apple per each is smaller than it was in the past as TSMC starts increasing chip production for NVidia, AMD, and others.

2) That Apple's in-house AI server chips will enter mass production in the second half of 2026 just means that that's when Kuo expects TSMC to be producing those chips at a high rate.
 
I thought Kuo was a supply chain guy. What does he know about software development? He's just repeating here what Gurman said in November.
So Kuo cannot talk to software developers and industry insiders to form an opinion of what Apple's A.I. development roadmap is?

At least Kuo doesn't thrown in a "but obviously things can still theoretically change" when making predictions like Gurman does.
 
Computers shouldn't hallucinate, esp. 40% of the time. AI sucks and will get worse.

The frontier models don't hallucinate 40% of the time and if you think that it's very obvious your "AI sucks and will get worse" statement is completely unsupported and makes zero sense in the context of how quickly AI is improving.


Also, temporary? Until Apple can catch up to Google's AI capabilities? So...permanent.
 
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