KOL Digest
Notboring · 2026.04.23 週四 · Substack

The Great Blue Frontier

看原始內容 5 個主題 · 10 個標的/題材

Ocean industrialization thesis: the last great frontier is pre-industrial

  • The ocean is at the same inflection point space was when SpaceX was founded — a $2.6T pre-industrial economy running on an 1800s expedition model, where expensive humans on expensive ships do expensive campaigns then retreat to dry land
  • Four technology curves crossed critical thresholds simultaneously (2020-2025): Starlink maritime connectivity (100x price-performance improvement), battery energy density doubled + costs collapsed 90%, onboard AI compute democratized, and EV/drone supply chains made AUV components 10-100x cheaper — this is Packy's 'Curve Convergence' applied to the ocean
  • The governing metric is the cost of ocean work ($/km²-month); today it costs millions per month to cover a meaningful area with incumbent methods; collapsing that metric unlocks everything downstream
AI基建 看多 長期

Ocean infrastructure is the next AI基建 buildout frontier — the same trends (cheap compute, autonomy, vertical integration, scale pricing) that defined data center build-out are now enabling autonomous ocean systems

Undersea cable demand and sabotage risk: Meta Waterworth, Big Tech buildout

  • 99% of intercontinental internet traffic flows through subsea cables, yet cables break 100-200 times/year and over a million km sit on the ocean floor with essentially zero persistent surveillance
  • Baltic Sea sabotage (Nov 2024), Estlink cable cut (Christmas 2024 by Russian shadow tanker), UK formally accusing Russia of covert operations over cables and pipelines — deliberate sabotage is escalating from isolated incidents to systematic strategy #風險
  • NATO launched Operation Baltic Sentry in Jan 2025 specifically because no assets existed to detect or deter these attacks — infrastructure gap is acute
$META 看多 長期

Announced Project Waterworth in 2025 — a 50,000km subsea cable spanning five continents, the longest in history, driven by AI data demand #催化劑

AI基建 看多 長期

AI demand is driving a near-doubling of subsea cable investment between 2022-2027; tech giants (Meta, Google, Amazon, Microsoft) now control roughly half the subsea cable market, building their own transoceanic routes #催化劑

Critical minerals / deep-sea mining: TMC files first commercial license

  • The Clarion-Clipperton Zone alone contains more cobalt than all known land reserves, plus polymetallic nodules rich in nickel, manganese, and copper — exactly the minerals EV batteries, wind turbines, and AI hardware are consuming at accelerating rates
  • The regulatory dam is cracking: after years of ISA stalemate, The Metals Company bypassed the ISA via a US 1980 regulatory pathway and filed the first-ever commercial deep-sea mining license application #催化劑
$TMC 看多 長期

First mover in commercial deep-sea mining: filed the first-ever commercial license via a US regulatory pathway in 2025, bypassing the stalled ISA process; estimates NPV of first two projects at $24B #催化劑 #價位

Maritime defense: US Navy autonomy budget surge, incumbent primes as Innovator's Dilemma victims

  • Strait of Hormuz conflict (April 2026) is a live demonstration of the infrastructure gap: Iran is unable to find the mines it just placed because it lacks persistent ocean surveillance — the same blindness that affects everyone
  • Houthi Red Sea attacks forced global shipping to reroute around Africa, adding 11,000nm and ~$1M per ship; container rates Shanghai-to-Europe quadrupled; $1T of goods disrupted in first six months — maritime domain awareness has become a strategic imperative #風險
  • FY2026 Pentagon budget: $13.4B for autonomous systems as its own budget line for the first time; Navy alone gets $5.3B, a 70% YoY increase #催化劑
  • China is building submarine-sized AUVs with 18,000km range, cable-cutting tools that operate at 4,000m depth, and an 'Underwater Great Wall' sensor network across the Indo-Pacific #風險
$LMT 看空 長期

Classic Innovator's Dilemma: ocean defense primes (Lockheed, RTX, L3Harris, Leidos, GD) sell cost-plus, crewed, campaign-based systems; their best customers (navies) demand mil-spec redundancy which prevents pivoting to autonomy-first models; a new cohort will take share as autonomous systems become good enough #比較

$RTX 看空 長期

Incumbent maritime defense prime facing Innovator's Dilemma from autonomy-native entrants; rationally serves current customers well, but incentivized structure prevents pivoting to scale-priced autonomous platforms #比較

$LHX 看空 長期

Incumbent maritime defense prime; same Innovator's Dilemma dynamic as $LMT and $RTX — cost-plus model and crewed-vessel heritage are structural disadvantages against autonomy-native entrants #比較

$LDOS 看空 長期

Incumbent subsea services prime (alongside Oceaneering, Fugro, Subsea 7); campaign-based vessel model is structurally disrupted by persistent autonomous fleets that collapse the $/km²-month cost basis #比較

$GD 看空 長期

General Dynamics Electric Boat is a legacy shipbuilder (cost-plus, multi-year hull contracts) — the model Saronic and Blue Water Autonomy are rebuilding from scratch around autonomous surface vessels #比較

New Ocean cohort: autonomy-native companies as the New Space analogy

  • The 'New Ocean' cohort shares characteristics: vertically integrated (not subcontracted), autonomy-native (not crewed-first), software-defined, built on commercial supply chains (drone motors, EV battery packs, Jetson-class compute), priced for scale not scarcity
  • Ulysses (private, $46M from a16z American Dynamism) is building full-stack: Mako AUV ($50k vs $500k-$5M incumbent), Leviathan autonomous surface craft, Kraken autonomous launch/recovery platform — 10-100x cost reduction vs incumbents
  • The AUV market produces ~1,000 vehicles/year at $500k-$5M each; Ulysses claims to build Makos for $50k — a demand request just came in for 10,000 vehicles as a service and another for 1,000
  • Kraken Robotics (TSX-V: PNG) is cited as an infrastructure enabler — builds synthetic-aperture sonar that turns a cheap AUV into a survey-grade mapping platform
AI算力 看多 長期

Edge compute is central to ocean autonomy: because underwater comms bandwidth is ~1M times slower than 5G, AUVs must run data-center-class GPUs onboard to make autonomous decisions without surfacing — AI算力 demand extends from cloud to seabed