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

Thematic (Sector/Industry)

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?

Asset Allocation & Fund Positioning, Copley Fund Research

Steven Holden

Asset Allocation & Fund Positioning

Copley Fund Research

Copley Fund Research provide research and data on asset allocation among Global and Emerging Market equity funds.  The analysis details absolute and relative positioning across countries, sectors and industries together with highly granular data on single stock and single fund allocations.  The data is updated monthly with time series going back to January 2011.

Global Research - Analysis of 165 prominent Global equity funds, combined AUM $335bn
GEM Research - Analysis of 127 prominent global EM equity funds, combined AUM $250bn

Asset Allocation - Global and GEM Equity

<ul>
<li>Semiconductor Sector Hits Historic Highs: Record allocations highlight investor confidence in the sector as second phase of bull market drives allocations to fresh peak.</li>
<li>Country Dynamics Shift: Peak Ownership in Taiwan, USA, Netherlands, while German Semiconductor holdings see strategic pullback through Infineon closures.  </li>
<li>TSMC, ASML, and NVIDIA establish dominance, reflecting investors’ preference for companies at the forefront of technological innovation, while traditional players like Infineon, Intel, and Texas Instruments face declining investor interest.</li>
</ul>


Semiconductor Sector Hits Historic Highs: Record allocations highlight investor confidence in the sector as second phase of bull market drives allocations to fresh peak.
Country Dynamics Shift: Peak Ownership in Taiwan, USA, Netherlands, while German Semiconductor holdings see strategic pullback through Infineon closures.  
TSMC, ASML, and NVIDIA establish dominance, reflecting investors’ preference for companies at the forefront of technological innovation, while traditional players like Infineon, Intel, and Texas Instruments face declining investor interest.


Global Semiconductors: Winners Emerge as Fund Allocations Hit Record Highs

Pan-Asia Index Rebalances/ Events/ Delta One, Periscope Analytics

Brian Freitas

Pan-Asia Index Rebalances/ Events/ Delta One

Periscope Analytics

Periscope Analytics focuses on event-driven trades across Asia Pacific and provides comprehensive, timely and systematic coverage of index changes to major Asia Pacific indices in a structured manner.

The analysis includes forecasted inclusions and exclusions to all major Asian indices that have significant amount of tracking assets, including estimates of passive buy/sell flow on the stocks. The service also provides commentary and impact of market consultations, ground rule changes, and other events (IPOs, spin-offs, M&A) that could lead to index changes and passive flow.

Periscope Analytics works with multi-strategy hedge funds, proprietary trading firms, stat arb trading groups and long-only investors that invest and trade in the Asia Pacific region with the data being used to trade index rebalances, avoid pre-positioning and passive flow, and to time entry into and exit from stocks.

Event-Driven Trades Across Asia Pacific

Index Rebalance

<ul>
<li>There are no constituent changes for the <a href="https://www.smartkarma.com/entities/vaneck-vectors-semiconductor" target="_blank" data-smartkarma-citation="entities:32807:1" rel="noopener">VanEck Vectors Semiconductor (SMH US)</a> ETF in March but there are a lot of float and capping changes.</li>
<li>
<a href="https://www.smartkarma.com/entities/taiwan-semiconductor-sp-adr" target="_blank" data-smartkarma-citation="entities:8587:1" rel="noopener">Taiwan Semiconductor (TSMC) - ADR (TSM US)</a> is the largest buy while capping results in <a href="https://www.smartkarma.com/entities/nvidia-corp" target="_blank" data-smartkarma-citation="entities:5891:1" rel="noopener">NVIDIA Corp (NVDA US)</a> being the largest sell by far.</li>
<li>Estimated one-way turnover is 8.3% resulting in a round-trip trade of nearly US$3bn. There are a few stocks with more than 0.2x ADV to trade.</li>
</ul>


There are no constituent changes for the VanEck Vectors Semiconductor (SMH US) ETF in March but there are a lot of float and capping changes.

Taiwan Semiconductor (TSMC) - ADR (TSM US) is the largest buy while capping results in NVIDIA Corp (NVDA US) being the largest sell by far.
Estimated one-way turnover is 8.3% resulting in a round-trip trade of nearly US$3bn. There are a few stocks with more than 0.2x ADV to trade.


MV US Listed Semiconductor 25 Index Rebalance: Over US$1bn to Sell in NVIDIA

Taiwan Tech Focused Senior Analyst

Patrick Liao

Equity Bottom-Up

TSMC (Taiwan Semiconductor Manufacturing) / Equity Bottom-Up

TSMC (Taiwan Semiconductor Manufacturing)

<ul>
<li>TSMC expects the foundry, semiconductor, electronics, industrial technology, and global GDP to be $0.25 trillion, $1 trillion, $3 trillion, $12 trillion, and $145 trillion, respectively, in 2030F</li>
<li>Transistor technology is constantly evolving, and FinFET architecture will be followed by Nanosheet and others.</li>
<li>In the transition, the automotive market belongs to IDM companies, but the utility of ADAS (Advanced Driver Assistance Systems) could fall under Foundry territory.  </li>
</ul>


TSMC expects the foundry, semiconductor, electronics, industrial technology, and global GDP to be $0.25 trillion, $1 trillion, $3 trillion, $12 trillion, and $145 trillion, respectively, in 2030F
Transistor technology is constantly evolving, and FinFET architecture will be followed by Nanosheet and others.
In the transition, the automotive market belongs to IDM companies, but the utility of ADAS (Advanced Driver Assistance Systems) could fall under Foundry territory.  


TSMC (2330.TT; TSM.US): Foundry Market Forecast in 2030F; TSMC Had Developed The 2nm Nanosheet.

External reports (aggregated public sources), Value Investors Club

Value Investors Club (VIC)

External reports (aggregated public sources)

Value Investors Club

Key points
<ul>
<li>TI has continued to innovate in analog chip design over time</li>
<li>Their chips are used in a variety of industries including automotive, industrial, and consumer electronics</li>
<li>TI's analog chips are found in a wide range of products from smartphones to medical devices</li>
</ul>
This content is sourced through publicly available sources and has been machine generated. Information displayed is for general informational purposes only. This article was originally published 3 months ago on Value Investors Club.

Key points

TI has continued to innovate in analog chip design over time
Their chips are used in a variety of industries including automotive, industrial, and consumer electronics
TI's analog chips are found in a wide range of products from smartphones to medical devices

This content is sourced through publicly available sources and has been machine generated. Information displayed is for general informational purposes only. This article was originally published 3 months ago on Value Investors Club.

Texas Instruments Inc (TXN) - Monday, Nov 20, 2023

United States

Texas Instruments Incorporated operates as a semiconductor design and manufacturing company. The Company develops analog ICs and embedded processors. Texas Instruments has manufacturing or sales operations worldwide.

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Texas Instruments (TXN US)

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

Global Semiconductors: Winners Emerge as Fund Allocations Hit Record Highs

Semiconductor Sector Hits Historic Highs: Record allocations highlight investor confidence in the sector as second phase of bull market drives...

Steven Holden

MV US Listed Semiconductor 25 Index Rebalance: Over US$1bn to Sell in NVIDIA

TSMC is the largest buy and NVIDIA is the largest sell at the SMH rebalance in March. Estimated one-way turnover is 8.3% resulting in a round-trip...

Brian Freitas

TSMC (2330.TT; TSM.US): Foundry Market Forecast in 2030F; TSMC Had Developed The 2nm Nanosheet.

TSMC predicts significant growth in various industries by 2030F, with evolving transistor technology and potential shifts in market ownership for...

Patrick Liao

Texas Instruments Inc (TXN) - Monday, Nov 20, 2023

TI has continued to innovate in analog chip design over time. Their chips are used in a variety of industries including automotive, industrial, and...

Value Investors Club (VIC)

Price Gauge

52-week Range

Market Cap (USDm)

P/E

Dividend (Yield)

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

Global Semiconductors: Winners Emerge as Fund Allocations Hit Record Highs

Semiconductor Sector Hits Historic Highs: Record allocations highlight investor confidence in the sector as second phase of bull market drives...

Steven Holden

MV US Listed Semiconductor 25 Index Rebalance: Over US$1bn to Sell in NVIDIA

TSMC is the largest buy and NVIDIA is the largest sell at the SMH rebalance in March. Estimated one-way turnover is 8.3% resulting in a round-trip...

Brian Freitas

TSMC (2330.TT; TSM.US): Foundry Market Forecast in 2030F; TSMC Had Developed The 2nm Nanosheet.

​TSMC predicts significant growth in various industries by 2030F, with evolving transistor technology and potential shifts in market ownership for...

Patrick Liao

Texas Instruments Inc (TXN) - Monday, Nov 20, 2023

TI has continued to innovate in analog chip design over time. Their chips are used in a variety of industries including automotive, industrial, and...

Value Investors Club (VIC)

TSMC predicts significant growth in various industries by 2030F, with evolving transistor technology and potential shifts in market ownership for...