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The investment universe of Serenity (@aleabitoreddit)

He front-runs the AI photonics buildout by buying the obscure upstream chokepoints — lasers, substrates and epiwafers — that feed NVDA's and the hyperscalers' optical roadmap.

180
Companies
66
Owned / likely
114
Coverage only
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Each node = a name he owns · size = how central · color = conviction

🔬 Featured deep dive

Sivers Semiconductors — his #1 conviction

A reconstructed #1-conviction bet that Sivers is the undiscovered InP-laser chokepoint of the AI optics supercycle — compelling structural story, but loss-making, dilution-prone and dogged by revenue-quality questions, with a huge 2026 run that already prices in a lot.

Read the deep dive — his timeline, the thesis, the run & the risks →

What he invests in

AI photonics / optical interconnect (CPO)

His dominant theme by a wide margin: the light-source and substrate chokepoints for co-packaged optics and silicon photonics. Span

Memory / NAND-DRAM supercycle

Structural AI-driven memory shortage thesis: DRAM/HBM/NAND price hikes and multi-year prepayments. MU and SNDK are the core longs,

Advanced packaging & semicap chokepoints

Tooling and OSAT bottlenecks for HBM/CPO: glass-core substrate equipment (LPK), burn-in/test (AEHR), metrology (ONTO), OSAT/packag

AI power / grid bottleneck

The 'boring sector about to re-rate' on data-center electricity demand: utilities (XLU), transformers/switchgear (HPS.A), and 800V

Neoclouds

AI cloud capacity plays, expressed as long-short: NBIS as his favored sum-of-parts long versus CRWV and IREN as the structurally w

Defense / drones & space

War-trade exposure on US military escalation: drones (AVAV, OSS, ONDS), directed-energy lasers (LASR), and space (RKLB, SPCX). The

The whole picture →

Highest conviction

Latest note

2026-09-23

Serenity frames Musk's AI timeline as validation for his "still early" thesis on the buildout

It was a quiet day from Serenity, the stock-picker whose reconstructed positioning this site tracks. He published no new trades and named no tickers, instead offering a brief macro reflection that ties back to his broader worldview.

The trigger was a widely circulated comment from Elon Musk suggesting artificial intelligence could surpass human capability across essentially all fields by the end of next year, or by 2028 at the latest. Serenity connected that prediction to a framework he has referenced before: Anthropic's paper on the economic implications of advanced AI, which he reads as sketching out 2026–2028 as the heavy infrastructure buildout phase, followed by 2028–2030 as a period of unusually rapid economic growth.

His takeaway was a timing one. On that map, he argued, we are still only in the early second half of 2026 — meaning, in his view, the buildout is nowhere near finished and the trade still has room to run.

That reading is the connective tissue for almost everything Serenity does. His investing approach is built on "buying what's upstream of NVIDIA": he treats the chip giant's roadmap — high-bandwidth memory, advanced packaging, co-packaged optics (putting the optical engine right next to the switch or GPU die to save power and lift bandwidth) — as a signal of where demand will eventually land, then hunts for the small, obscure suppliers that the whole chain quietly depends on. He calls these "chokepoints": critical upstream vendors with few substitutes.

His dominant theme is AI photonics — the lasers and specialty substrates, often built on indium phosphide, that feed the optical interconnect roadmap. Around that sit his other sleeves: a memory supercycle bet on constrained DRAM and NAND flash pricing, advanced-packaging tooling, the electrical-grid bottleneck that data-center power demand creates, AI cloud capacity names, and a defense-and-drones basket. All of them share the same underlying premise — that the AI infrastructure spend is large, sustained, and still building.

Seen in that light, today's post reads less as a new idea and more as a conviction check. By anchoring to a "still early" position on the buildout timeline, Serenity is signaling that he sees no reason yet to fade the multi-year theme underpinning his portfolio. It is worth noting the caveats such a stance carries: forecasts from public figures about AI's pace are speculative, and a thesis that leans on the buildout continuing for years is exposed to any slowdown in that spending. Serenity offered no timeline adjustments, new entries, or exits today.

With no fresh positions to report, the day amounts to a restatement of philosophy rather than action — a reminder of the macro clock he believes he is trading against, and his contention that the hands have not yet moved as far as the headlines might suggest.

*This is derived commentary reconstructed from public posts, not investment advice, and not the subject's own words.*

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