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

Equity Bottom-Up

<ul>
<li>Nadella argues the industry must address AI risks through classic, rigorous engineering practices: transparent chain-of-thought (CoT) tracking, strict behavioural auditing and independent, third-party testing rather than “cozy arrangements”.</li>
<li>Nadella wants broad industry interoperability standards (e.g., externalising memory/harnesses from specific models and creating unified KV cache standards across models) so customers can switch between models without losing their data.</li>
<li>While continuing its deep strategic partnership with OpenAI, Microsoft is simultaneously building its own native AI models and adopting heterogeneous chip infrastructure (NVIDIA, AMD, internal silicon, and OpenAI’s custom silicon)</li>
</ul>


Nadella argues the industry must address AI risks through classic, rigorous engineering practices: transparent chain-of-thought (CoT) tracking, strict behavioural auditing and independent, third-party testing rather than “cozy arrangements”.
Nadella wants broad industry interoperability standards (e.g., externalising memory/harnesses from specific models and creating unified KV cache standards across models) so customers can switch between models without losing their data.
While continuing its deep strategic partnership with OpenAI, Microsoft is simultaneously building its own native AI models and adopting heterogeneous chip infrastructure (NVIDIA, AMD, internal silicon, and OpenAI’s custom silicon)


Satya Nadella @ The All In Summit. Key Takeaways & Full Transcript

Asian Hedge Fund Manager, Long Short Equity, Macro

David Mudd

Cross Asset Strategy

<ul>
<li>DC company share prices are rolling over, foreshadowing increasing pressure on their hyperscaler customers.  Since the July swoon in semiconductor stocks, the DC sector has underperformed both hyperscalers and semiconductors.</li>
<li>DC players face strong headwinds on multiple fronts, including high leverage/circular financing, supply chain delays, public opposition, and questions about aggressive forecasts of future compute demand.</li>
<li>Leverage is the most prominent risk in the DC sector, with questions looming about completion dates and customers' ability to meet their contracted offtake agreements.</li>
</ul>


DC company share prices are rolling over, foreshadowing increasing pressure on their hyperscaler customers.  Since the July swoon in semiconductor stocks, the DC sector has underperformed both hyperscalers and semiconductors.
DC players face strong headwinds on multiple fronts, including high leverage/circular financing, supply chain delays, public opposition, and questions about aggressive forecasts of future compute demand.
Leverage is the most prominent risk in the DC sector, with questions looming about completion dates and customers' ability to meet their contracted offtake agreements.


DATA CENTER SECTOR: From the Tip of the Spear to Canary in the Coal Mine

Research from Water Tower Research, Water Tower Research

Water Tower Research

Research from Water Tower Research

Water Tower Research is a leading equity research firm that provides research on micro, small and mid cap companies.

Water Tower Research was founded by Wall Street veterans after witnessing a fundamental shift in the investment research industry with the result being a declining knowledge base among investors, a lack of awareness and a shrinking pool of fundamental research being conducted on companies across the small-cap and micro-cap spectrum. The same issues are now increasingly occurring in the mid-cap space. This sea change within the investment community is impacting not only the companies themselves but also current shareholders and potential investors. With significantly less active sell-side sponsorship by Wall Street, a substantial information gap has developed between companies and various constituents in the financial community. The net result is fewer channels for insight and information to flow between companies and investors.

Equity Research Firm

Thematic (Sector/Industry)

<div><ul><li>Our industry cash flow forecasts improved modestly, driven by revenue, but the buildout still burns cash through the end of the decade.</li><li>Adjusted 2030 free cash flow is -$59B, against -$106B in the version we published on September 21.</li><li>Revenue covers 0.94x of 2030 capex, up from 0.89x, and 0.77x on a cumulative basis, up from 0.71x.</li></ul></div>

Our industry cash flow forecasts improved modestly, driven by revenue, but the buildout still burns cash through the end of the decade.Adjusted 2030 free cash flow is -$59B, against -$106B in the version we published on September 21.Revenue covers 0.94x of 2030 capex, up from 0.89x, and 0.77x on a cumulative basis, up from 0.71x.

AI Flow Industry Model : Tracking the Capex Flood and Revenue Streams - 6 October 2026

<ul>
<li>Two viral blog posts by Satya Nadella over the summer suggest a tops-down change in Microsoft's AI deployment strategy</li>
<li>Microsoft is investing $2.5 billion &amp; deploying 6,000 engineers into a new division, Microsoft Frontier Company, to help manage its AI deployments to enterprise clients globally</li>
<li>There are going to be areas where we are very complementary and partner very, very closely with AI frontier labs. Then, there might be areas of overlap competitively.</li>
</ul>


Two viral blog posts by Satya Nadella over the summer suggest a tops-down change in Microsoft's AI deployment strategy
Microsoft is investing $2.5 billion &amp; deploying 6,000 engineers into a new division, Microsoft Frontier Company, to help manage its AI deployments to enterprise clients globally
There are going to be areas where we are very complementary and partner very, very closely with AI frontier labs. Then, there might be areas of overlap competitively.


Microsoft @ Deutsche Bank Technology Conference. Key Takeaways & Full Transcript

Head of Research, IPOs & Placements, Aequitas Research

Sumeet Singh

Head of Research, IPOs & Placements

IPOs and Placements coverage across Asia Pacific

Aequitas Research

We cover all listing across the Asia Pacific along with follow-up placements. As of Dec 2020, our team had covered 539 IPOs with a hit rate of 73.5% and 685 placements with a hit rate of 66.8%.

We combine fundamental bottom-up views with our proprietary quantitative framework to provide a holistic coverage across new listings and placements. Our coverage includes pre-IPO notes before the deal is launched, follow-up analysis once the deal is live and post-listing trading analysis as well.

Equity Capital Markets

<ul>
<li>
<a href="https://www.smartkarma.com/entities/avepoint-inc" target="_blank" data-smartkarma-citation="entities:37131:1" rel="noopener">AvePoint (AVPT US)</a> , a global provider of data security, governance, and resilience, aims to raise around US$300m in its Singapore secondary listing.</li>
<li>As of FY24, AP had over 25,000 customers who rely on its Confidence Platform to prepare, secure, and optimize their critical data across environments.</li>
<li>In this note, we look at its past performance and other deal dynamics that might impact the listing.</li>
</ul>



AvePoint (AVPT US) , a global provider of data security, governance, and resilience, aims to raise around US$300m in its Singapore secondary listing.
As of FY24, AP had over 25,000 customers who rely on its Confidence Platform to prepare, secure, and optimize their critical data across environments.
In this note, we look at its past performance and other deal dynamics that might impact the listing.


AvePoint SGX Secondary Listing - Strong Growth and Large Client Base but Unclear Metrics

United States

Microsoft Corporation operates as a software company. The Company offers applications, extra cloud storage, and advanced security solutions. Microsoft serves customers worldwide.

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Microsoft Corp (MSFT US)

Satya Nadella @ The All In Summit. Key Takeaways & Full Transcript

My fundamental enterprise architecture would be a system that fundamentally allows you to be able to continuously hill climb on your own, on evals...

William Keating

DATA CENTER SECTOR: From the Tip of the Spear to Canary in the Coal Mine

The sudden plunge in demand for an Nvidia-backed data center company’s initial public offering is revealing fresh cracks in the AI funding boom....

David Mudd

AI Flow Industry Model : Tracking the Capex Flood and Revenue Streams - 6 October 2026

Our industry cash flow forecasts improved modestly, driven by revenue, but the buildout still burns cash through the end of the decade.

Water Tower Research

Microsoft @ Deutsche Bank Technology Conference. Key Takeaways & Full Transcript

"There are going to be areas where we are very complementary and partner very, very closely with AI frontier labs. Then, there might be areas of...

William Keating

AvePoint SGX Secondary Listing - Strong Growth and Large Client Base but Unclear Metrics

AvePoint (AVPT US) , a global provider of data security, governance, and resilience, aims to raise around US$300m in its Singapore secondary listing.

Sumeet Singh

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