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Tower Semiconductor Deep Dive

Tower Semiconductor’s low-loss photonics chips halve lasers in 1.6T optical modules, supporting a $680 million annualized photonics run rate and customer wafer prepayments through 2027.

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Fajasy on X

Nuclear should bring in $3.7B of the $3.8B of revenue BWX Technologies $BWXT expects in 2026. $BWXT builds nuclear reactors and their heavy components, manufactures nuclear fuel, then services reactors once they’re running. It reports two segments: → Government Operations (73% of 2025 segment revenue, $2,350.1M): Reactors and fuel for the Navy’s submarines and aircraft carriers, uranium processing for the government, microreactor programs, and stakes in the joint ventures running government nuclear sites (booked as equity income, not revenue). → Commercial Operations (27%, $853.1M): Steam generators (heat exchangers turning reactor heat into steam), reactor pressure vessels, fuel, and field services for power utilities, mostly in Ontario. Also Kinectrics (a Toronto-based nuclear engineering and testing firm acquired in 2025) and a medical isotope unit $BWXT is selling. Naval propulsion is the core, at “a little bit less than 1/2” of revenue, CEO Rex Geveden said at $BWXT’s Investor Day on September 29, 2026. Special materials (the government uranium business) makes up 15-20%, and commercial power ~30%. The U.S. government accounted for 68% of 2025 revenue, directly or through prime contractors, down from 76% in 2024 as the commercial side grew. Four large utilities accounted for another 17%, per the FY2025 10-K. What keeps the Navy from switching suppliers is licensing. Only two plants in the U.S. hold Nuclear Regulatory Commission (NRC) licenses to produce fuel from high-enriched uranium (HEU, enriched to 20% or more, which is what naval reactors run on). Both belong to $BWXT (Nuclear Fuel Services in Erwin, Tennessee, and its Lynchburg plant), and the 10-K calls Nuclear Fuel Services “the sole provider of nuclear fuel for the U.S. Navy.”
@convequity 1 click

Convequity on X

$NVDA vs $AVGO: The Optical Edge NVIDIA can keep growing while facing pressure from more directions. Custom chips, optical supply constraints and specialized inference systems give customers more reasons to consider alternatives. Broadcom’s optical capabilities could help it win the accompanying compute order. Customers need both accelerators and the optical components that connect them to bring capacity online. Securing those components alongside an ASIC purchase could shift the customer’s platform choice toward AVGO. Control across lasers, photonic and electronic chips, and packaging also gives Broadcom more freedom to optimize the complete design. Embedded lasers could reduce the laser power required, easing dependence on scarce, high-power external lasers, although replacement becomes harder. For AVGO, this remains a potential design route. NVIDIA can respond through partnerships, but separate suppliers still have their own margins and product priorities. Google ($GOOGL) and Amazon ($AMZN) are expanding the alternatives through TPUs and Trainium. Our ABBX model allocates 10GW of Anthropic’s 13.8GW planned capacity to those two platforms. The plans span different timelines, but show how a few large buyers could redirect substantial spending away from GPUs. Huawei adds pressure through its integrated optical approach and the prospect of Chinese models supplying cheaper tokens internationally. That could affect both hardware choices and the prices compute providers can charge. Cerebras ($CBRS) targets workloads where faster responses matter. It can compete for latency-sensitive decoding without replacing GPUs across every stage of inference. NVIDIA’s defenses remain substantial. GPU batching supports high total output, flexibility across workloads matters, and its ecosystem is deeply established. Customers can use GPUs for prefill and specialized chips for decoding. Wider enterprise model development would also favor NVIDIA because smaller buyers have less reason to fund custom-chip programmes. At comparable valuations, we prefer adding to AVGO: it can benefit from custom-silicon adoption while helping customers secure the optics needed to deploy it. For NVIDIA, the key question is how much market share and pricing power it retains as customers gain more alternatives.

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