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.

Thematic (Sector/Industry)

<ul>
<li>This is going to be a big week, so I’ll be as brief as I can while getting everything in one place.</li>
<li>Let’s start with Automotive, which is my favorite idea set right now. The problem is that the near-term results were much weaker than I expected, and it looks like the bottom is maybe in.</li>
<li>I was expecting another quarter of scrapping along the bottom, and Industrial weakness punched a new low.</li>
</ul>


This is going to be a big week, so I’ll be as brief as I can while getting everything in one place.
Let’s start with Automotive, which is my favorite idea set right now. The problem is that the near-term results were much weaker than I expected, and it looks like the bottom is maybe in.
I was expecting another quarter of scrapping along the bottom, and Industrial weakness punched a new low.


Earnings: NXPI, CDNS, TXN, SLAB, Alphawave, TSEM, KLAC, SK Hynix, MXL, STM, ASMI, VRT, UCTT

Taiwan Tech Focused Senior Analyst

Patrick Liao

Equity Bottom-Up

Vanguard Intl Semiconductor / Equity Bottom-Up

<ul>
<li>Vanguard should declare to established 12" Fab in Singapore within 2014.</li>
<li>Vanguard is likely to announce the establishment of 2 sets of 12" fabs in the next 6 months.  </li>
<li>China is expanding 28/22nm and above technologies, and we believe it's more appropriate for Vanguard to compete with others rather than TSMC.</li>
</ul>


Vanguard should declare to established 12" Fab in Singapore within 2014.
Vanguard is likely to announce the establishment of 2 sets of 12" fabs in the next 6 months.  
China is expanding 28/22nm and above technologies, and we believe it's more appropriate for Vanguard to compete with others rather than TSMC.


Vanguard (5347.TT): Planning to Announce the Construction of a 12" Fab in Singapore in 2024.

<ul><li>This earnings post will be a bit less detailed than usual. I just finished a move mid-earnings, and it was insanely distracting. So, I’ll start with the spark notes before I go into depth.</li><li>Industrial (TXN) is possibly bottoming, Automotive is probably bottoming (TXN), but SiC (STM) is doing much worse, and mobile (TER) hasn’t changed quite much. Consumer (NOD) got a substantial call out.</li><li>Telecom (MXL, INTC) is about to bottom imminently. I continue to like MaxLinear and other companies that are exposed to telecom. HBM (TER, SK) continues to be strong. In Semicap, Logic is strong, HBM is strong, and China is declining less than expected.</li></ul>

This earnings post will be a bit less detailed than usual. I just finished a move mid-earnings, and it was insanely distracting. So, I’ll start with the spark notes before I go into depth.Industrial (TXN) is possibly bottoming, Automotive is probably bottoming (TXN), but SiC (STM) is doing much worse, and mobile (TER) hasn’t changed quite much. Consumer (NOD) got a substantial call out.Telecom (MXL, INTC) is about to bottom imminently. I continue to like MaxLinear and other companies that are exposed to telecom. HBM (TER, SK) continues to be strong. In Semicap, Logic is strong, HBM is strong, and China is declining less than expected.

Semiconductor & Technology Specialist, Ingenuity

William Keating

Semiconductor & Technology Specialist

Ingenuity

Our focus is exclusively on in-depth research & consulting in the broader semiconductor industry. We focus on the key players, namely Intel, Micron, Qualcomm, Apple, Samsung, NVIDIA, AMD, TSMC & Global Foundries - as well as some of the lesser known, but nonetheless critical, companies such as ASML (for EUV), Mellanox, Cavium, Xilinx etc. We specialise in their products, roadmaps, process technologies, competitive advantages & threats etc. We also help our clients understand the implications of new and emerging technologies, e.g. 3D X-Point, 3D NAND, Carbon Nanotubes, Autonomous Driving, Graphene, Silicon Photonics, Wafer-Level Optics, Artificial Intelligence, FPGA, GPU, ASIC etc. 

Semiconductor Analysis & Research

Autonomous Driving represents the perfect fusion of our love affair with automobiles and our fascination with artificial intelligence. It has been part of our collective imagination for decades, first epitomized at the 1939 New York World Fair Futurama exhibit which posited an automated highway system (AHS), sponsored by General Motors. Research on AHS conducted at The Ohio State University led to the development of the world's first partially autonomous vehicle in 1962. Fast forward half a century and the goal of achieving autonomous driving is firmly fixed in the glare of our automobile headlights. Leading automakers, as well as technology companies, are promising autonomous or at least highly autonomous automobiles within the next three years. At the forefront, <a href="https://www.smartkarma.com/entities/11369" target="_blank" data-smartkarma-citation="entities:11369:1">Alphabet Inc Cl C (GOOG US)</a> represented by its automotive spin-off Waymo, is in the process of launching the world's first driverless taxi service in Phoenix, Arizona. <a href="https://www.smartkarma.com/entities/18811" target="_blank" data-smartkarma-citation="entities:18811:1">General Motors Co (GM US)</a>, arguably the closest to Waymo in technology terms, has announced similar plans to launch an autonomous ride-sharing service in 2019.Not all is rosy in the autonomous driving garden, however. The sector has been plagued by high-profile defections of key staff leaving to either create their own startups or join competitors. These moves have led to equally high-profile and in some cases, embarrassing, law-suits. Other companies rush to hire talented artificial intelligence engineers has decimated the research ranks of leading universities.The safety and reliability of autonomous driving technology on our streets today has also been thrown into doubt in recent times. Just two days ago, on March 18'th, the first fatal accident involving an autonomous vehicle occurred in Phoenix Arizona, details <a href="https://electrek.co/2018/03/19/uber-self-driving-prototyp-fatal-crash-police/" target="_blank">here</a>. That vehicle was a Volvo XC90 and was part of <a href="https://www.smartkarma.com/entities/430" target="_blank" data-smartkarma-citation="entities:430:1">Uber Technologies Inc</a> self-driving test fleet in the city. According to initial reports, the vehicle was operating in autonomous mode and had a safety driver on board. While we need to await the outcome of this particular investigation, previous incidents involving other autonomous vehicles highlight some astonishing shortcomings of the technology being used on our streets today. Indeed, there are now serious questions about the viability of so-called Level 3 autonomous driving in so far as they rely on emergency intervention by a driver highly likely to have been distracted by something more exciting than monitoring an automobile driving by itself. Autonomous driving is a subject far too broad to be covered in a single Insight. Consider this a primer where we begin by examining the origins of autonomous driving, tracing its roots back to 1960s which, by no coincidence, was also the starting point for much of the research on modern-day artificial intelligence. We look at the specific factors which combined to propel autonomous driving from the AI laboratories of prestigious universities to the drawing boards of multinationals around the globe. We review the framework for the different levels of autonomous driving and highlight the fact that most auto OEM's choose to largely ignore them. We then examine in detail the aforementioned issues with Level 3 autonomous driving and reveal that the technology used in the Volvo XC90, the vehicle involved in the recent fatal accident in Phoenix, specifically warns in its user manual that it should not be used for city driving and that it cannot detect pedestrians, cyclists etc. Recognizing the seminal role that <a href="https://www.smartkarma.com/entities/11369" target="_blank" data-smartkarma-citation="entities:11369:1">Alphabet Inc Cl C (GOOG US)</a> has played in advancing the technology, we provide an in-depth review of their self-driving initiative from its inception as a secretive Google X project to its current day incarnation as Waymo. By way of contrast, we examine the autonomous driving ambitions of one of the world's leading auto OEMs, General Motors, and provide a detailed review of their progress to date. Finally, we address the question on everybody's mind when it comes to autonomous driving - are we there yet?

Autonomous Driving represents the perfect fusion of our love affair with automobiles and our fascination with artificial intelligence. It has been part of our collective imagination for decades, first epitomized at the 1939 New York World Fair Futurama exhibit which posited an automated highway system (AHS), sponsored by General Motors. Research on AHS conducted at The Ohio State University led to the development of the world's first partially autonomous vehicle in 1962. Fast forward half a century and the goal of achieving autonomous driving is firmly fixed in the glare of our automobile headlights. Leading automakers, as well as technology companies, are promising autonomous or at least highly autonomous automobiles within the next three years. At the forefront, Alphabet Inc Cl C (GOOG US) represented by its automotive spin-off Waymo, is in the process of launching the world's first driverless taxi service in Phoenix, Arizona. General Motors Co (GM US), arguably the closest to Waymo in technology terms, has announced similar plans to launch an autonomous ride-sharing service in 2019.Not all is rosy in the autonomous driving garden, however. The sector has been plagued by high-profile defections of key staff leaving to either create their own startups or join competitors. These moves have led to equally high-profile and in some cases, embarrassing, law-suits. Other companies rush to hire talented artificial intelligence engineers has decimated the research ranks of leading universities.The safety and reliability of autonomous driving technology on our streets today has also been thrown into doubt in recent times. Just two days ago, on March 18'th, the first fatal accident involving an autonomous vehicle occurred in Phoenix Arizona, details here. That vehicle was a Volvo XC90 and was part of Uber Technologies Inc self-driving test fleet in the city. According to initial reports, the vehicle was operating in autonomous mode and had a safety driver on board. While we need to await the outcome of this particular investigation, previous incidents involving other autonomous vehicles highlight some astonishing shortcomings of the technology being used on our streets today. Indeed, there are now serious questions about the viability of so-called Level 3 autonomous driving in so far as they rely on emergency intervention by a driver highly likely to have been distracted by something more exciting than monitoring an automobile driving by itself. Autonomous driving is a subject far too broad to be covered in a single Insight. Consider this a primer where we begin by examining the origins of autonomous driving, tracing its roots back to 1960s which, by no coincidence, was also the starting point for much of the research on modern-day artificial intelligence. We look at the specific factors which combined to propel autonomous driving from the AI laboratories of prestigious universities to the drawing boards of multinationals around the globe. We review the framework for the different levels of autonomous driving and highlight the fact that most auto OEM's choose to largely ignore them. We then examine in detail the aforementioned issues with Level 3 autonomous driving and reveal that the technology used in the Volvo XC90, the vehicle involved in the recent fatal accident in Phoenix, specifically warns in its user manual that it should not be used for city driving and that it cannot detect pedestrians, cyclists etc. Recognizing the seminal role that Alphabet Inc Cl C (GOOG US) has played in advancing the technology, we provide an in-depth review of their self-driving initiative from its inception as a secretive Google X project to its current day incarnation as Waymo. By way of contrast, we examine the autonomous driving ambitions of one of the world's leading auto OEMs, General Motors, and provide a detailed review of their progress to date. Finally, we address the question on everybody's mind when it comes to autonomous driving - are we there yet?

<ul>
<li>The sickness in Silicon Carbide started at On semi.</li>
<li>Let’s look through the results and see the drivers, the big deal, and what we should do about it.</li>
<li>The market freaked out about Silicon Carbide, specifically On semiconductor, saying that automotive demand for the year will be weaker.</li>
</ul>


The sickness in Silicon Carbide started at On semi.
Let’s look through the results and see the drivers, the big deal, and what we should do about it.
The market freaked out about Silicon Carbide, specifically On semiconductor, saying that automotive demand for the year will be weaker.


Switzerland

STMicroelectronics N.V. designs, develops, manufactures, and markets semiconductor integrated circuits and discrete devices. The Company's products are used in the telecommunications, consumer electronics, automotive, computer, and industrial sectors. Geographically, customers are located in North America, Europe, and the Asia Pacific region.

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STMicroelectronics NV (STM IM)

Earnings: NXPI, CDNS, TXN, SLAB, Alphawave, TSEM, KLAC, SK Hynix, MXL, STM, ASMI, VRT, UCTT

This is going to be a big week, so I’ll be as brief as I can while getting everything in one place. Let’s start with Automotive, which is my...

Fabricated Knowledge

Vanguard (5347.TT): Planning to Announce the Construction of a 12" Fab in Singapore in 2024.

Vanguard plans to establish two 12" fabs in Singapore in 2014 to compete with other companies in the expanding Chinese market.

Patrick Liao

Earnings Week of April 26th

TXN, NOD, TER, INTC, MXL, ASM, STM, ON, KLA, LRCX, VRT, Aixtron, MXL. This earnings post will be a bit less detailed than usual....

Fabricated Knowledge

Autonomous Driving- Are We There Yet?

I find it fascinating to read this again, almost six years to the day since I published it. I intend to publish an update on this topic in the...

William Keating

SiC as a Dog (Part 2)

The sickness in Silicon Carbide started at On semi. Let’s look through the results and see the drivers, the big deal, and what we should do about...

Fabricated Knowledge

Price Gauge

52-week Range

Market Cap (USDm)

P/E

Dividend (Yield)

Earnings: NXPI, CDNS, TXN, SLAB, Alphawave, TSEM, KLAC, SK Hynix, MXL, STM, ASMI, VRT, UCTT

This is going to be a big week, so I’ll be as brief as I can while getting everything in one place. Let’s start with Automotive, which is my...

Fabricated Knowledge

Vanguard (5347.TT): Planning to Announce the Construction of a 12" Fab in Singapore in 2024.

​Vanguard plans to establish two 12" fabs in Singapore in 2014 to compete with other companies in the expanding Chinese market.

Patrick Liao

Earnings Week of April 26th

TXN, NOD, TER, INTC, MXL, ASM, STM, ON, KLA, LRCX, VRT, Aixtron, MXL. This earnings post will be a bit less detailed than usual....

Fabricated Knowledge

Autonomous Driving- Are We There Yet?

I find it fascinating to read this again, almost six years to the day since I published it. I intend to publish an update on this topic in the...

William Keating

SiC as a Dog (Part 2)

The sickness in Silicon Carbide started at On semi. Let’s look through the results and see the drivers, the big deal, and what we should do about...

Fabricated Knowledge

Vanguard plans to establish two 12" fabs in Singapore in 2014 to compete with other companies in the expanding Chinese market.