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    <title>INFLCT — thesis board</title>
    <link>https://inflct.xyz</link>
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    <description>INFLCT tracks the structural shifts the market is mispricing. Key claims dated and sourced, every call given a conviction score. Free, every week.</description>
    <language>en-au</language>
    <item>
      <title>The incremental defence dollar is shifting from primes to drones and counter-UAS</title>
      <link>https://inflct.xyz/thesis/drone-counter-drone</link>
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      <pubDate>Thu, 09 Jul 2026 13:49:22 GMT</pubDate>
      <description>Defence spending is not just rising — its composition is shifting at the margin from legacy primes (manned platforms, exquisite missiles) toward attritable drones, autonomy and counter-UAS, a lesson written in Ukraine. The direction is clear (a first-ever US dedicated autonomy budget-request line, record defence-tech VC, large counter-drone awards), but the shift is still small in absolute budget share and the sharpest pure-plays are private, so listed exposure is indirect.</description>
      <category>DEFENCE / AUTONOMY</category>
    </item>
    <item>
      <title>Firm carbon-free power is the AI build-out&apos;s scarcest input</title>
      <link>https://inflct.xyz/thesis/nuclear-smr</link>
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      <pubDate>Thu, 09 Jul 2026 13:49:21 GMT</pubDate>
      <description>Firm, 24/7 carbon-free power is a growing structural constraint on data-centre expansion — but honestly, this is two theses in one. The near-term leg (existing-fleet restarts, uprates and PPAs) is executing with real capital, though on slipping timelines. The SMR leg is genuine long-duration optionality — mostly 2030+, with unproven first-of-a-kind economics and a HALEU fuel bottleneck. Nuclear is one of the clearest LONG-duration answers, not the quickest or cheapest fix for the 2026–2030 crunch, where the IEA expects renewables and gas to do most of the near-term work.</description>
      <category>NUCLEAR / SMR</category>
    </item>
    <item>
      <title>Memory, not just logic, is the AI-compute chokepoint</title>
      <link>https://inflct.xyz/thesis/hbm-memory</link>
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      <pubDate>Thu, 09 Jul 2026 13:49:20 GMT</pubDate>
      <description>High-bandwidth memory (HBM) is emerging as an adjacent — and possibly tighter — bottleneck to AI compute alongside logic and power. Each accelerator generation stacks more HBM (Nvidia&apos;s H100 carried 80GB; Nvidia specs its Vera Rubin GPU package at 288GB HBM4), and HBM consumes disproportionately more wafer capacity per bit than standard DRAM — TrendForce estimates HBM takes ~18% of DRAM wafer input for only ~8% of bits in 2025 — so HBM is quietly draining commodity DRAM capacity. The exposure sits with the three HBM makers and the wider DRAM value chain.</description>
      <category>HBM MEMORY</category>
    </item>
    <item>
      <title>Power is a binding constraint on the AI buildout — in many regions, the tightest one</title>
      <link>https://inflct.xyz/thesis/power-constrained</link>
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      <pubDate>Wed, 08 Jul 2026 21:04:24 GMT</pubDate>
      <description>Through 2027, electrical infrastructure is becoming a binding constraint for many AI data-centre projects — grid interconnection, generation and high-voltage transformers — not just compute. Increasingly, hyperscalers route AROUND the constraint (on-site gas, imported transformers, prepaying for queue position) rather than being stopped outright, so it shows up more in cost and detour than outright cancellation — but the gap between sub-18-month build cycles and multi-year equipment and interconnection lead times remains real.</description>
      <category>POWER — CONSTRAINED</category>
    </item>
    <item>
      <title>Electrical equipment is the picks-and-shovels layer capturing AI-buildout value</title>
      <link>https://inflct.xyz/thesis/electrical-equipment</link>
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      <pubDate>Wed, 08 Jul 2026 21:04:24 GMT</pubDate>
      <description>Power-equipment makers (transformers, switchgear, turbines, grid kit) capture durable, high-visibility value from the AI buildout, because multi-year order backlogs and multi-year equipment lead times confer pricing power and earnings visibility toward 2030. The order books are the evidence: reported backlogs and slot reservations now extend for years across the major OEMs.</description>
      <category>ELECTRICAL EQUIPMENT</category>
    </item>
    <item>
      <title>AI-infra capex financing is structurally fragile</title>
      <link>https://inflct.xyz/thesis/capex-financing-fragility</link>
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      <pubDate>Wed, 08 Jul 2026 21:04:24 GMT</pubDate>
      <description>The AI buildout is increasingly funded by debt and private credit, with circular vendor-financing dynamics and a maturity question: short-lived compute hardware (GPUs and servers, roughly 3-6 year useful lives) sits inside data-centre projects financed with much longer-dated debt and leases (15-20 years) matched to the long-lived facilities and land, not the chips. If AI revenues fail to service that debt, the fragility could force a buildout slowdown — the risk overlay sitting under every other thesis on the board.</description>
      <category>CAPEX FINANCING</category>
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