It is by no means too frequent to speak about Taiwan Semiconductor (TSM), the preeminent “lego builder” for the AI revolution.
My colleague Ethan Feller simply did an important evaluation of the basics two weeks in the past and this week I needed to go wide-angle on what their development means for the worldwide financial system as they construct a large new foundry in Phoenix, Arizona.
Right here was the video I made Monday morning the place I confirmed the corporate development, the large purchase alternative I missed on August 5, and a few particulars concerning the first US-based “fab” for the magicians of sub-10 nanometer chip applied sciences.
Why Is This Silicon Magician So Vital?
Taiwan Semiconductor Manufacturing Corp (aka, TSMC) is a important enabler of at present’s know-how trade, having basically reshaped the semiconductor panorama in 1987. By way of the imaginative and prescient and management of its founder Dr. Morris Chang, TSMC pioneered the pure-play semiconductor foundry enterprise mannequin.
At the moment, TSMC’s semiconductors are the digital engines inside greater than 12,000 digital merchandise created by over 500 corporations. TSMC’s know-how will be present in gadgets corresponding to internet-connected dwelling home equipment (my espresso maker), sensible telephones and PCs, EVs and autonomous autos, cloud knowledge facilities, airways and space-stations and AI-powered purposes. The world’s largest manufacturers and savviest startups in know-how depend on TSMC to unleash their improvements to the world.
TSMC has since remained one of many world’s largest devoted foundries with fabrication services (“fabs”) and subsidiaries spanning Asia, Europe and North America. Given persistent tensions between China and Taiwan, I am certain it isn’t misplaced on my readers why bringing large high-tech wafer fab manufacturing capability to the US will safe the important, world IP and know-how which may in any other case be disrupted by commerce wars, political wars, and even Southeast Asia “sizzling” wars.
Sultan of Silicon Builds Castles in US Desert
Within the video linked above, I used to be attempting to discover the TSMC web site dedicated to the brand new Arizona facility. Nevertheless it was onerous to navigate — or possibly my web connection velocity was taking a nap.
However even with good net velocity, I nonetheless get so intense about what’s unfolding with NVIDIA (NVDA) GPUs and the “massively parallel architectures” of AI, that I get tongue-tied attempting to cram all of it in to a sub-10 minute video.
It ought to be merely unfathomable to any of us that TSM is constructing circuit boards and chipsets with lower than 5 nanometers of house between the transistors — when the coronavirus is measured as massive as 50 nanometers.
The accelerated generations of chip designs by way of elevated transistor density are all a few greater diploma of miniaturization.
That is what Jensen Huang of NVIDIA confirmed us was going to occur as gaming GPUs took over the heavy lifting from Intel desk-top CPUs. In essence, as early as 2016, he noticed that what I now name “Huang’s Regulation” was going to overhaul Moore’s Regulation.
Honey, I Shrunk the Chips!
You’ll be able to see an wonderful graphic of that transformation right here.
However in full transparency, it is truly past my mental pay-grade to be speaking concerning the exact engineering world of nanometers on this article. Nonetheless, my large enthusiasm is not going to be bridled by my mere ignorance.
So my easiest analogy has at all times been this: image CPU-driven “serial” processing as a 4-lane freeway, or 8-lane expressway. Clearly, site visitors jams will nonetheless at all times occur any day of the week, irrespective of the place your metro.
Now, image GPU-driven “parallel” processing as 100,000 piano gamers, all capable of execute, course of, and ship new info and insights concurrently. They might be a symphony, or an improv manufacturing unit, with no site visitors jams.
The Monolith of Phoenix
And on condition that my fascination is way better than my electrical engineering data, I am at all times prepared to take heed to Sensei Huang and his key companions like TSMC.
So right here I’ll share some key particulars from that web site concerning the Sultan of Silicon’s newest magic mega-complex on over 1100 acres…
In a historic announcement, in Might 2020, TSMC shared its plans to speculate $12B in Phoenix, Arizona – constructing a sophisticated semiconductor manufacturing fabrication. In December 2022, the corporate introduced its dedication to construct a second fab in Phoenix, growing its complete funding to $40B.
Then in April 2024, the U.S. Division of Commerce and TSMC Arizona introduced as much as US$6.6 billion in direct funding below the CHIPS and Science Act, fulfilling a aim to convey probably the most superior chip manufacturing on the earth to america. TSMC additionally introduced plans to construct a 3rd fab at TSMC Arizona.
This third fab brings TSMC’s complete U.S. funding to greater than $65 billion, making this the biggest international direct funding (FDI) in Arizona historical past, and the biggest FDI in a greenfield venture in U.S. historical past. Now with a 3rd fab, TSMC Arizona will create roughly 6,000 jobs – and greater than 20,000 collected distinctive development jobs, in addition to tens of 1000’s of oblique provider jobs.
As certainly one of TSMC’s superior fabs, TSMC Arizona will play an important function within the U.S. authorities’s aim to onshore semiconductor manufacturing and strengthen nationwide financial competitiveness. TSMC Arizona’s first fab will function it’s modern semiconductor course of know-how (N4 course of), beginning manufacturing within the first half of 2025.
The second fab will make the most of its vanguard N3 and N2 course of know-how and be operational in 2028. The just lately introduced third fab will manufacture chips utilizing 2nm or much more superior course of know-how, with manufacturing beginning by the tip of the last decade. TSMC Arizona will have the ability to produce semiconductor wafers for its valued clients utilizing probably the most superior course of capabilities within the nation.
The Semi Cycle: Overdue for a Huge Recession?
On Monday morning, once I determined I need to profile TSM for the weekly Zacks Prime Inventory Picks video, two fascinating gadgets have been already swirling by my mind:
1) I had simply printed my weekly Sunday e-newsletter on LinkedIn concerning the new Microsoft mega-datacenter in my yard in southeast Wisconsin: Microsoft Stargate: “My god… it is filled with GPUs!”
2) I had a dialog with a fellow investor-analyst who was questioning if the Semiconductor Cycle had peaked this yr and was now due for a much bigger correction/bear market.
If you happen to’ve been watching since I first penned my Tech Tremendous Cycle thesis in 2017, you understand there are sometimes many extra dramatic bear markets in chip shares than precise “fall-off-a-cliff” gross sales implosions.
Ideas on the Semiconductor Cycle
So when a fellow investor-analyst requested me what I considered a doable “traditional peak” within the Semi Cycle, I rapidly shared my ideas to place the weather in perspective…
The SOX is ~140% off its 2022 bear market low.
The 17% correction in July was effectively throughout the bounds of anticipated volatility after such a run.
And the “panic of August” was scrumptious for long-term development managers.
GPU demand is not slowing. I profiled TSM for Prime Picks at present so I used to be simply rev development for numerous gamers.
In wafer fab tools AMAT is slowing however LRCX nonetheless 16% topline into subsequent yr. ASML flat this yr however projected 35% subsequent yr!
AI has reinvented the cycle. No hype. Actual capex. Ever since MSFT GOOG META have been lined in early 2023 to purchase GH200 collection, the opposite 997 corps in Fortune 1000 knew they needed to construct their very own inner LLMs or go extinct. NVIDIA will not have the ability to make new GB200 collection quick sufficient.
(finish of my back-of-the-envelope bull case for chips and NVDA since 2022)
Minimal 30% CAGR, Whereas NVDA Grows 50%+
Then, on Monday afternoon I used to be alerted to the most recent analysis publication from Daniel Newman at Futurum Group, an unbiased know-how analysis agency. Dan is aware of TSM and NVDA and their ahead development catalysts as effectively (most likely higher) than I do.
And he obtained his analysis report profiled on CNBC with this headline: “The AI knowledge middle chipset market is ready to soar from $38B in 2024 to $138B by 2028, pushed by a 30% CAGR.”
I believe he is being method too conservative, particularly when NVIDIA already had a transparent path to $1 trillion in topline (together with software program companies) even earlier than the earthquake of ChatGPT surfaced in early 2023.
Lastly, right here was my LinkedIn e-newsletter on Sunday profiling the virtues of Satya Nadella and Brad Smith, for Wisconsin and past…
Microsoft Stargate: “My god… it is filled with GPUs!”
If that hyperlink would not work, simply electronic mail me at KCook@Zacks.com
Backside line: As I described in my video, be prepared for extra volatility this autumn and into the election. If shares have one other one-day “panic” like they did for the Financial institution of Japan carry commerce, be prepared to purchase. As a result of the global-macro image is not going to shipwreck the megatrend of AI hyper-scalers, LLM-builders, and pure science-explorers who need to enhance the world we dwell in.
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Taiwan Semiconductor Manufacturing Firm Ltd. (TSM) : Free Inventory Evaluation Report
NVIDIA Company (NVDA) : Free Inventory Evaluation Report
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