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Report: Rise of AI Is Corroding Apple's Influence Over TSMC

A detailed new report from SemiAnalysis argues that while Apple's partnership with TSMC created the modern leading-edge foundry model, the rapid rise of AI computing is changing who pays for new chip technologies and how much influence Apple holds over each new manufacturing node.

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The report traces how Apple became the single most important customer in the global semiconductor industry by committing early and at scale to new manufacturing processes at TSMC, beginning with the A8 chip in 2014. It argues that Apple's willingness to absorb early costs, fund yield improvements, and align its annual product cycle with TSMC's roadmap allowed the foundry to outpace rivals and cement its dominance at the leading edge.

Apple's annual spending at TSMC grew from roughly $2 billion in 2014 to about $24 billion in 2025, while Apple's share of TSMC revenue rose from single digits to as much as 25% at its peak. For much of the past decade, Apple accounted for more than half of initial production at each new node, and in some cases nearly all of it, effectively underwriting the financing of advanced manufacturing when no other customer could do so at scale.

However, the rise of AI accelerators has created a second class of customers, such as NVIDIA, who are capable of consuming large amounts of advanced manufacturing capacity. TSMC's revenue mix has shifted significantly as a result.

Smartphones once represented nearly half of TSMC's revenue, but that share has fallen as high-performance computing demands, including AI, have grown to become the largest segment. This means Apple is no longer the only customer capable of funding new capacity, even though it remains the largest single customer by revenue.

This change is said to already be visible with upcoming manufacturing nodes. Apple's share of early production for TSMC's N2 and A16 nodes is expected to be lower than previous generations, the latter of which is designed for high-performance computing workloads rather than mobile devices.

Under SemiAnalysis's modeling, Apple's position strengthens again at later nodes such as A14, which are being designed from the start to support both mobile and high-performance products. In that scenario, Apple's share of early capacity rises again as its iPhone and Mac chips return to being the primary drivers of volume.

While Apple continues to rely on TSMC for its most advanced chips, SemiAnalysis says the company is exploring alternatives for lower-risk components and certain categories to diversify its supply chain. Intel's upcoming 18A-P process is a potential option for some Apple silicon without disrupting flagship products.

See SemiAnalysis's full report for more information.

Tag: TSMC

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Top Rated Comments

WarmWinterHat Avatar
10 weeks ago

AI: the death of personal computing
Just wait it out. Shareholders are going to stop pumping money into these companies sooner rather than later, since they have absolutely no path whatsoever towards profitability.

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Score: 12 Votes (Like | Disagree)
bollman Avatar
10 weeks ago
AI: the death of personal computing
Score: 10 Votes (Like | Disagree)
kalsta Avatar
10 weeks ago

You're name is appropriate...Currently, AI is the 21st century's Edsel, and physical books and research assistants aren't going anywhere.
Nope, AI is more like the motor car in general. Yes, people will still research topics by reading books, just as people still ride horses today—but like it or not, AI is going to dominate this space in the future. Edsel’s predictions may not be perfect, but I fear they are far more astute than yours.
Score: 6 Votes (Like | Disagree)
swm Avatar
10 weeks ago
so apparently the RAM prices are skyrocketing because someone bought - of course using money that doesn't exist "yet" - all memory chips to be manufactured in advance for GPUs that haven't been made. and those GPUs will be installed into datacenter that haven't been built, maybe didn't even left the drawing board. And all those nonexistent datacenters will be powered by the power infrastructure which will be upgraded by adding 20+ nuclear reactors to satisfy the increased power demand that isn't actually there.
all this in order to generate the profits that are mathematically impossible.
never mind that the construction time for a multi-GW NPP takes about a decade.
the hardware which depreciates in <3 years will be totally relevant by then.
Score: 6 Votes (Like | Disagree)
bollman Avatar
10 weeks ago

Just wait it out. Shareholders are going to stop pumping money into these companies sooner rather than later, since they have absolutely no path whatsoever towards profitability.
Oh, you just wait a bit too. I'm not so sure Microsoft, nVidia, AMD and the likes are all that interested in going back to letting users "own" anything. The very concept of renting a computer when you need it is a wet dream for these tech giants.
AI is going to hit the wall hard, and there will be huge data centers doing nothing. A wonderful opportunity to make people rent whatever they need instead of selling people a computer every 5 years or so.
We are in the age of "you will own nothing and be happy" and it is not all that easy to push back on it.
Score: 6 Votes (Like | Disagree)
WarmWinterHat Avatar
10 weeks ago

Nope, AI is more like the motor car in general. Yes, people will still research topics by reading books, just as people still ride horses today—but like it or not, AI is going to dominate this space in the future. Edsel’s predictions may not be perfect, but I fear they are far more astute than yours.
If you're doing actual research, and not using the source directly with citations, then you're not doing research. Research requires verification. I was a organic research chemist for years before moving into pharmacy.

My wife is an attorney and other attorney's are getting raked over the coals for using AI, and believing what it says, without following up on the original source. It's one of the reasons she refuses to use it, in it's entirety, as she doesn't want to be influenced by it.

People will keep reading books, for research and pleasure.


Nope, AI is more like the motor car in general.
In the long term, perhaps. LLMs, in their current power-hungry trillion-dollar datacenters form won't be the one that does it.
Score: 5 Votes (Like | Disagree)
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