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Wednesday, October 28, 2026

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@convequity

Convequity on X

We think Google's ($GOOGL) TPU volumes alone could add roughly $11 billion to $14 billion a year to Broadcom ($AVGO) revenue on our illustrative estimates, and Anthropic and OpenAI are a larger opportunity on top. April supply-chain estimates put Google's TPU demand at 4.2 million to 4.5 million units in 2026, rising above 6 million units in 2027. We allow for MediaTek's allocation to rise from around 600,000 units in 2026 to 1 million units in 2027 and assume Broadcom supplies the remainder. At the 6 million-unit level in 2027, that leaves Broadcom with roughly 1.1 million to 1.4 million additional chips compared with 2026. At an illustrative $10,000 of revenue per chip, that would add $11 billion to $14 billion in annual revenue from higher volumes alone. The actual increase will depend on which designs ship and their selling prices. Our working estimates put Anthropic's demand for Broadcom-supplied TPUs at around 1 gigawatt in 2026, rising to 5 gigawatts in 2027. OpenAI's separate custom-chip program has demand estimated at 1.3 gigawatts in 2027 and 5 gigawatts in 2028. Anthropic's TPU purchases overlap with the Google TPU opportunity, so we count those sales once. Together, the Anthropic and OpenAI estimates point to around 10 gigawatts of demand by 2028. Assuming Broadcom earns $10 billion to $20 billion for each gigawatt supplied, that represents a $100 billion to $200 billion revenue opportunity across those deployments.
@convequity

Convequity on X

We added to Tesla ($TSLA) as a long-term holding in physical AI through Optimus and Cybercab, and we keep the position small. Our view is that an affordable, capable Optimus could become an enormous product, extending Tesla's opportunity beyond its vehicle business. Tesla's batteries and its ability to coordinate difficult industrial supply chains add to that potential. The position stays small because reliability in real working environments, affordability and commercialization timing are unproven. Demonstrations alone do not establish that Optimus is ready for sustained use, and commercialization could take longer than investors expect. Reports that China was slowing humanoid-company IPO activity reinforce our concern that financial enthusiasm can advance faster than the underlying technology. A rumored Tesla facility in Ningbo, near Shanghai, could strengthen the industrial case if confirmed. Its proposed role is to coordinate Chinese suppliers and validate components for Optimus V3. The associated target of 50,000 Optimus units by year-end remains unconfirmed and ambitious, and we do not build our case around that volume. Our interest rests on the eventual product opportunity and Tesla's ability to solve production problems.
@convequity 1 click

Convequity on X

3D chips could create more room for specialist EDA startups. We are not convinced that more difficult chip design automatically translates into a large revenue windfall for $SNPS, $CDNS and Siemens. Fine-pitch stacking changes decisions that used to be made within one die. Put a circuit upstairs and its wires may get shorter, but its heat affects the circuit below. Placement, signal timing and power delivery have to be optimized together across the stack. That creates a reason for $AVGO and $NVDA to build custom tools around their architectures. Broadcom already describes a proprietary design flow built on industry-standard tools. Nvidia publishes its own research on assigning connections across tiers in 3D chips. Our inference is that the chip designers will keep some of the most differentiating optimization work in-house. A startup that solves a costly gap in cross-die planning or optimization could also win business without replacing an entire EDA suite. The incumbents still supply implementation, verification and manufacturing sign-off tools, and they are developing 3D capabilities themselves. Internal tooling is evidence that customers need more than the standard flow; it does not establish that incumbent spending falls. We see a more interesting startup opportunity where a tool can shorten repeated design iterations or improve the resulting chip enough to earn a separate budget. That is the part of the 3D transition we would investigate before assuming the largest EDA vendors capture most of the upside.zz
@SouthernValue95 10 clicks

SouthernValue on X

$AMZN paid <$400M for Annapurna … crazy how easy it is to spend money these days. Interesting acquisition, though. Decart has a world model and a video model, but the core piece AMZN is interested in is its “DOS” Decart Optimization Stack which helps AI models to train or inference over any chip technology, including already working with Trainium. This is a piece of technology AMZN wouldn’t want acquired by $NVDA. Makes a lot of sense within AMZN as a way to help customers use NVDA AMD CRBS TRN at optimal performance.

Investor Letters

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Danaher’s robotics era

Danaher’s new CEO paired a Q3 beat and raised EPS outlook with a 2027 4%-5% organic-growth starting point, while pitching AI-enabled…

DHR $163B
Best Anchor Stocks 1 click

Meta Earnings, Muse and the Frontier, Musebook

Meta’s earnings hinge on whether investors back Zuckerberg’s Muse vision and the compute spending required to build it.

META $1.6T
Stratechery by Ben Thompson – On the business, strategy, and impact of technology. 1 click

ORCL Update

Oracle rose about 12% intraday on October 28, 2026 as AI infrastructure and cloud-demand sentiment improved and credit-spread concerns…

ORCL $383B
Cestrian Capital Research 2 clicks

Anthropic Deep Dive

Anthropic’s $80.7 billion first-half loss was mostly fair-value marks, while $16.3 billion revenue and compute economics showed a $974…

AMZN $2.6T
CV's Substack 7 clicks

My Last GFL Update - Hopefully

GFL’s take-private structure hinges on BC Partners rolling 60% of its stake to preserve debt portability under the 40% permitted-holder…

GFL $16B
310 Value’s Newsletter 5 clicks

Right-Sizing Memory

Micron’s AI memory demand depends on workload-specific accelerator designs that shift bits among HBM, GDDR and LPDDR, changing wafer…

MU $946BNVDA $5T
Chipstrat 4 clicks

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