Equity Long-Short, Semiconductors, Fabricated Knowledge

Douglas O'Laughlin

Equity Long-Short, Semiconductors

Fabricated Knowledge

Learn more about the world's most important manufactured product. Meaningful insight, timely analysis, and an occasional investment idea.

Equity Bottom-Up

<ul>
<li>"It is so much cheaper to do simulations than real experiments, so much more flexible in testing...we can even do things which cannot be done in any lab… So it’s inevitable this trend will continue for some time." - Richard Hamming, <a href="https://www.amazon.com/Art-Doing-Science-Engineering-Learning/dp/1732265178" target="_blank" rel="noopener">The Art of Doing Science and Engineering</a>.</li>
<li>Richard Hamming said this to the President of Bell Labs in the 1950s. And I think this insight rings more accurate than ever. Simulations of reality are much more flexible and cheaper than observing and interacting with reality.</li>
<li>I will assert that LLMs and “AI” are effectively the logical conclusion of this trend. A large language model is trained on the largest amount of data possible, often the entire crawlable Internet<a href="https://kili-technology.com/large-language-models-llms/9-open-sourced-datasets-for-training-large-language-models" target="_blank" rel="noopener">, all the books ever written, and so much more</a>.</li>
</ul>


"It is so much cheaper to do simulations than real experiments, so much more flexible in testing...we can even do things which cannot be done in any lab… So it’s inevitable this trend will continue for some time." - Richard Hamming, The Art of Doing Science and Engineering.
Richard Hamming said this to the President of Bell Labs in the 1950s. And I think this insight rings more accurate than ever. Simulations of reality are much more flexible and cheaper than observing and interacting with reality.
I will assert that LLMs and “AI” are effectively the logical conclusion of this trend. A large language model is trained on the largest amount of data possible, often the entire crawlable Internet, all the books ever written, and so much more.


Asia and Global Semiconductor and Tech Research

Andrew Lu

<ul>
<li>Post 35% price gain in a quarter, many good news we expected and other analysts expected already factored into the share price. We believe the risk/reward not attractive here.</li>
<li>TSMC guides stronger 1Q24 and 2024, helped by Nvidia and copy cat AI GPU/ASIC orders. We see greater opportunities for alternative copy cat solutions like AMD and Alchip.</li>
<li>We attribute Nvidia customers' sales discrepancy to AI server is cannibalizing non-AI server and Nvidia is allocating more GPUs to premium price paying customers in 1H24 and reverse in 2H24.</li>
</ul>


Post 35% price gain in a quarter, many good news we expected and other analysts expected already factored into the share price. We believe the risk/reward not attractive here.
TSMC guides stronger 1Q24 and 2024, helped by Nvidia and copy cat AI GPU/ASIC orders. We see greater opportunities for alternative copy cat solutions like AMD and Alchip.
We attribute Nvidia customers' sales discrepancy to AI server is cannibalizing non-AI server and Nvidia is allocating more GPUs to premium price paying customers in 1H24 and reverse in 2H24.


From Nvidia Results to See Supply Chain Stories?

<ul><li>KLA had a rare miss. The guidance was a bit light for the inspection execution machine.</li><li>KLA rarely misses and is by far the best financially managed of the large-cap semicap companies.</li><li>KLA reports Q2 EPS $6.16 ex-items vs FactSet $5.91</li></ul>

KLA had a rare miss. The guidance was a bit light for the inspection execution machine.KLA rarely misses and is by far the best financially managed of the large-cap semicap companies.KLA reports Q2 EPS $6.16 ex-items vs FactSet $5.91

KLA & LaserTec, AMD, Hyperscaler Capex, SK Hynix, SWKS and QRVO, WOLF, MCHP

<ul>
<li>We see early signs of recovery in PC and smartphone markets, stable server market (strengths in AI server, stable in non-AI server market), but weaknesses in automotive and industrial.</li>
<li>We expect the PC semi market recovery of more than 10% y/y in 2024/2025, driven by inventory rebuild and silicon contents increase by adding AI into PC.</li>
<li>We expect the smartphone semi market recovery of 7-8% y/y in 2024/2025, driven by inventory rebuild and adopting 3nE foundry node. But, Huawei/HiSilicon will take some of the growth.</li>
</ul>


We see early signs of recovery in PC and smartphone markets, stable server market (strengths in AI server, stable in non-AI server market), but weaknesses in automotive and industrial.
We expect the PC semi market recovery of more than 10% y/y in 2024/2025, driven by inventory rebuild and silicon contents increase by adding AI into PC.
We expect the smartphone semi market recovery of 7-8% y/y in 2024/2025, driven by inventory rebuild and adopting 3nE foundry node. But, Huawei/HiSilicon will take some of the growth.


First Run of Global Semis' Guidances to Tell Early Signs of Recovery

Asia Pac ECM and Index Rebal, Shenton Research

Ke Yan, CFA, FRM

Asia Pac ECM and Index Rebal

Asia Pac IPO & Placement Research, China Biotech

Shenton Research

Shenton Research is an independent Asia Pacific equity specialist. Our quantitative research covers index rebalancing flows, alongside exchange data analytics accross Asia Pacific. On the equity capital markets side, we focus on Asia Pacific ECM, especially biotech and TMT. Our lead analyst is frequently cited by international media.

Thematic (Sector/Industry)

<ul>
<li>OpenAI, Anthropic and Google released frontier models, while OpenAI cancelled GPT-6.1 Astra after safety tests and the FTC opened a probe into AI-agent safety.</li>
<li>Anthropic's IPO prospectus showed Q2 revenue of USD 11.5bn, OpenAI sought at least USD 30bn at a USD 1.4tn valuation, and Meta launched an enterprise AI platform.</li>
<li>Amazon explored moving USD 8bn of Nvidia chips into a leaseback vehicle, AMD agreed to buy World Labs for USD 8.2bn, and Firmus priced its ASX IPO.</li>
</ul>


OpenAI, Anthropic and Google released frontier models, while OpenAI cancelled GPT-6.1 Astra after safety tests and the FTC opened a probe into AI-agent safety.
Anthropic's IPO prospectus showed Q2 revenue of USD 11.5bn, OpenAI sought at least USD 30bn at a USD 1.4tn valuation, and Meta launched an enterprise AI platform.
Amazon explored moving USD 8bn of Nvidia chips into a leaseback vehicle, AMD agreed to buy World Labs for USD 8.2bn, and Firmus priced its ASX IPO.


This Week in AI (Sep 27-Oct 3): OpenAI Drops Astra for Sol; Sonnet 5.5 Nears Opus at 1/2 the Price

United States

Advanced Micro Devices, Inc. (AMD) produces semiconductor products and devices. The Company offers products such as microprocessors, embedded microprocessors, chipsets, graphics, video and multimedia products and supplies it to third-party foundries, as well as provides assembling, testing, and packaging services. AMD serves customers worldwide.

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Advanced Micro Devices (AMD US)

Jensen's World: Compressing Reality

Nvidia is pursuing a strategy of broadening its software distribution on one of the largest installed bases in the world.

Fabricated Knowledge

From Nvidia Results to See Supply Chain Stories?

From Nvidia Results to See Supply Chain Stories? Post 35% price gain in a quarter, many good news already factored into the share price. We...

Andrew Lu

KLA & LaserTec, AMD, Hyperscaler Capex, SK Hynix, SWKS and QRVO, WOLF, MCHP

Another week of earnings, with KLA having a rare miss and the guidance being a bit light for the inspection execution machine.

Fabricated Knowledge

First Run of Global Semis' Guidances to Tell Early Signs of Recovery

After the first Run of global semis' guidance, it tells early signs of recovery in PC and smartphone but weaknesses in automotive and industrial,...

Andrew Lu

This Week in AI (Sep 27-Oct 3): OpenAI Drops Astra for Sol; Sonnet 5.5 Nears Opus at 1/2 the Price

This week in AI: OpenAI scrapped GPT-6.1 Astra and shipped Sol, Anthropic released Sonnet 5.5 at half Opus's price, and Google launched Gemini 4...

Ke Yan, CFA, FRM

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