{
  "report_id": "theme_ai_capex_cycle",
  "report_type": "theme_signal",
  "site_path": "themes/ai-capex-cycle/index.html",
  "title": "AI Capex Cycle",
  "as_of": "2026-06-14",
  "generated_at": "2026-06-14T07:18:13Z",
  "categories": [
    "AI capex",
    "AI infrastructure",
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    "Semiconductors",
    "AI networking",
    "Data-center systems",
    "Software monetization",
    "Funding-sensitive infrastructure",
    "Discovery-backed"
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      "sector_information_technology",
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      "portfolio_index"
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      "label": "AI capex parent node return buckets",
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      "label": "Selected-security right-rail chart route verification",
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    }
  ],
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    "../../../knowledge/wiki/lanes/security/wyfi.md",
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  ],
  "external_sources": [
    "https://www.gartner.com/en/newsroom/press-releases/2026-05-19-gartner-forecasts-worldwide-ai-spending-to-grow-47-percent-in-2026",
    "https://www.semi.org/en/semi-press-release/semi-projects-double-digit-growth-in-global-300mm-fab-equipment-spending-for-2026-and-2027",
    "https://wsts.tsia.org.tw/PageDetail.aspx?pageID=1674",
    "https://www.rcrwireless.com/20260602/telco-cloud/ai-cloud-synergy",
    "https://investor.nvidia.com/news/press-release-details/2026/NVIDIA-Announces-Financial-Results-for-First-Quarter-Fiscal-2027/default.aspx",
    "https://www.fool.com/earnings/call-transcripts/2026/05/08/coreweave-crwv-q1-2026-earnings-transcript/",
    "https://investors.delltechnologies.com/static-files/b63ffff9-b729-403b-a231-c6af05667759",
    "https://investor.cisco.com/news/news-details/2026/CISCO-REPORTS-THIRD-QUARTER-EARNINGS/default.aspx",
    "https://asteralabs.gcs-web.com/news-releases/news-release-details/astera-labs-reports-first-quarter-2026-financial-results",
    "https://www.eaton.com/us/en-us/company/news-insights/news-releases/2026/eaton-reports-record-first-quarter-2026-results.html",
    "https://www.gevernova.com/sites/default/files/gev_webcast_pressrelease_04222026.pdf"
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      "month": "21 trading sessions",
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      "year": "252 trading sessions"
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      "semicap-packaging-power-semis",
      "memory-storage-screen",
      "networking-optical-interconnect",
      "servers-racks-ems-systems-integration",
      "power-cooling-physical-delivery",
      "software-security-monetization",
      "financing-depreciation-roi-pressure"
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    "CRWD",
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    "MDB",
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    "NET",
    "CRM",
    "ZS",
    "MSFT",
    "GOOGL",
    "AMZN",
    "META",
    "ORCL",
    "CRWV",
    "NBIS",
    "APLD",
    "IREN",
    "CORZ",
    "WULF",
    "CIFR",
    "HUT",
    "WYFI",
    "NVDA",
    "AVGO",
    "AMD",
    "MRVL",
    "AMAT",
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    "TSSI",
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    "GNRC",
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      "The parent return grids use API-backed node return buckets from reports.daily_security_return_buckets with 5, 21, 63, and 252 trading-session windows.",
      "The 78-name chart universe is source-routed; duplicated tickers can appear in multiple node cards because the same company can fund, supply, or absorb AI infrastructure demand.",
      "WYFI is excluded from the 252-session year window in the AI-cloud capacity and financing-pressure cards because its local trading history is short.",
      "MU, SNDK, STX, and WDC have API return coverage and memory-theme routing, but this parent page does not route to maintained local security lanes for those names.",
      "Several node pages still carry their own setup-date caveats; this refresh updated only the parent page and parent metadata.",
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      "id": "ai_demand_workload_growth",
      "page_id": "theme_ai_capex_node_ai_demand_workload_growth",
      "title": "AI Demand And Workload Growth",
      "slug": "ai-demand-workload-growth",
      "site_path": "themes/ai-capex-cycle/nodes/ai-demand-workload-growth/index.html",
      "level": "L1 demand monitor node",
      "core_count": 10,
      "option_count": 0,
      "watch_count": 0,
      "chart_count": 10,
      "price_data_as_of": "2026-06-12",
      "status": "active",
      "role": "Tests whether AI and cloud workload growth converts into software, data, observability, security, workflow, and edge revenue with disclosed ARR, RPO, retention, margin, and FCF evidence.",
      "description": "AI Demand And Workload Growth tracks the software, data, observability, security, workflow, and edge platforms where AI usage should show up as paid product revenue, ARR, RPO or cRPO, net retention, customer expansion, margin, and free cash flow. The expanded basket read ranks PLTR first for direct operational AI revenue and margin proof, SNOW and DDOG for data and observability workload evidence, CRWD and PANW for security-platform ARR and RPO proof, then MDB, NOW, NET, CRM, and ZS for narrower or less-clean workload conversion tests."
    },
    {
      "id": "theme_ai_capex_node_hyperscaler_cloud_capex_budgets",
      "title": "Hyperscaler And Cloud Capex Budgets",
      "slug": "hyperscaler-cloud-capex-budgets",
      "site_path": "themes/ai-capex-cycle/nodes/hyperscaler-cloud-capex-budgets/index.html",
      "level": "L3 core underwriting node",
      "core_count": 5,
      "option_count": 0,
      "watch_count": 0,
      "chart_count": 5,
      "price_data_as_of": "2026-06-12",
      "completed_weekly_setup_as_of": "2026-06-05",
      "status": "active",
      "role": "Tracks whether hyperscaler and cloud platform capex budgets convert AI demand into usable data-center, compute, networking, storage, power, land, and lease capacity.",
      "description": "Hyperscaler and cloud capex budgets is the approval, financing, procurement, and utilization layer that turns AI demand into data-center campuses, accelerator clusters, custom silicon, networking, storage, power contracts, leases, land, and construction. The budget creates shareholder economics only when that capacity becomes cloud revenue, ad or productivity monetization, backlog or RPO conversion, operating income, utilization, and FCF after capex, depreciation, leases, power, financing claims, and component costs. The current basket ranks MSFT first for Azure, RPO, Copilot, and cash-generation evidence; GOOGL second for Cloud backlog, Cloud margin, and Search-funded AI distribution; AMZN third because AWS is the direct cloud profit pool but current FCF conversion is weaker; META fourth because Family of Apps funds the buildout but the local lane still lacks a clean AI infrastructure to FCF bridge; and ORCL fifth as a charted OCI/RPO addition with larger funding, lease, customer-concentration, and FCF risk."
    },
    {
      "id": "theme_ai_capex_node_ai_cloud_capacity_financing",
      "title": "AI-Cloud Capacity And Financing",
      "slug": "ai-cloud-capacity-financing",
      "site_path": "themes/ai-capex-cycle/nodes/ai-cloud-capacity-financing/index.html",
      "level": "L3 financing-sensitive capacity node",
      "core_count": 9,
      "option_count": 0,
      "watch_count": 0,
      "chart_count": 9,
      "price_data_as_of": "2026-06-12",
      "completed_weekly_setup_as_of": "2026-06-05",
      "status": "active",
      "role": "Tracks whether AI cloud sellers, AI data-center landlords, and miner-to-HPC conversions can turn signed demand into delivered capacity, billable utilization, rent, margin, collections, and cash flow after capex, debt, leases, dilution, and customer concentration.",
      "description": "AI-cloud capacity and financing covers CRWV and NBIS as direct neocloud operators, APLD and IREN as high-growth contracted capacity ramps, CORZ and WULF as commenced colocation or lease conversions, CIFR and HUT as larger but more prospective campus leases, and WYFI as the smaller financing-sensitive tail route."
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      "status": "active",
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      "level": "L3 core underwriting node",
      "core_count": 4,
      "option_count": 0,
      "watch_count": 1,
      "chart_count": 4,
      "price_data_as_of": "2026-06-08",
      "completed_weekly_setup_as_of": "2026-06-05"
    },
    {
      "id": "semicap_packaging_power_semis",
      "title": "Semicap, Packaging, And Power Semis",
      "slug": "semicap-packaging-power-semis",
      "site_path": "themes/ai-capex-cycle/nodes/semicap-packaging-power-semis/index.html",
      "level": "L2 investable operating node",
      "core_count": 15,
      "option_count": 0,
      "watch_count": 5,
      "chart_count": 15,
      "ticker_basket": [
        "AMAT",
        "KLAC",
        "LRCX",
        "MPWR",
        "ENTG",
        "MKSI",
        "NVMI",
        "ONTO",
        "CAMT",
        "TER",
        "AMKR",
        "ACMR",
        "POWI",
        "TRT",
        "CVV"
      ],
      "price_data_as_of": "2026-06-18",
      "status": "active",
      "role": "Tracks whether AI capex converts into wafer-fab equipment, process-control, materials and purity, advanced-packaging inspection and metrology, production test, OSAT packaging capacity, installed-base service revenue, and high-density power-semiconductor revenue.",
      "description": "Semicap, packaging, and power semis tracks AMAT, KLAC, LRCX, MPWR, ENTG, MKSI, NVMI, ONTO, CAMT, TER, AMKR, ACMR, POWI, TRT, and CVV as upstream suppliers that make AI infrastructure manufacturable and power-dense. The proof burden is shipments, gross margin, receivables and inventory discipline, free cash flow, leverage or cash-use discipline, China/export access, customer commitments, and weekly setup confirmation."
    },
    {
      "id": "memory_storage_screen",
      "page_id": "theme_ai_capex_node_memory_storage_screen",
      "title": "Memory And Storage Screen",
      "slug": "memory-storage-screen",
      "site_path": "themes/ai-capex-cycle/nodes/memory-storage-screen/index.html",
      "level": "L2 investable operating node",
      "core_count": 4,
      "option_count": 0,
      "watch_count": 0,
      "chart_count": 4,
      "price_data_as_of": "2026-06-12",
      "completed_weekly_setup_as_of": "2026-06-05",
      "status": "active",
      "role": "Screens HBM, DRAM, NAND, SSD, and mass-capacity storage routes that can validate or strain the AI capex chain through allocation, pricing, shipment timing, and downstream margin absorption.",
      "description": "Memory and storage screen covers MU, SNDK, STX, and WDC as operating routes for AI memory and storage economics. The node gets paid when supplier pricing, volume, gross margin, and cash improve without choking server, cloud, EMS, or device economics."
    },
    {
      "id": "theme_ai_capex_node_networking_optical_interconnect",
      "title": "Networking, Optical, And Interconnect",
      "slug": "networking-optical-interconnect",
      "site_path": "themes/ai-capex-cycle/nodes/networking-optical-interconnect/index.html",
      "level": "L2 investable operating node",
      "core_count": 15,
      "option_count": 0,
      "watch_count": 0,
      "chart_count": 15,
      "price_data_as_of": "2026-06-12",
      "status": "active",
      "role": "Tracks whether AI cluster bandwidth demand converts into Ethernet switching, AI networking silicon, optical transport, active electrical cables, PCIe/CXL retimers, optical modules, and physical interconnect revenue with durable margin, cash conversion, and customer breadth.",
      "description": "Networking, optical, and interconnect covers the switches, Ethernet fabrics, active electrical cables, optical links, retimers, PCIe/CXL devices, fabric switches, DCI systems, optical modules, and physical interconnect products that connect accelerators into usable AI clusters. The current merged basket ranks ANET, CRDO, ALAB, AVGO, MRVL, CIEN, COHR, LITE, CSCO, FN, MTSI, APH, AAOI, SMTC, and MXL, with POET, GLW, and MCHP watch-only."
    },
    {
      "id": "servers_racks_ems_systems_integration",
      "page_id": "theme_ai_capex_node_servers_racks_ems_systems_integration",
      "title": "Servers, Racks, EMS, And Systems Integration",
      "slug": "servers-racks-ems-systems-integration",
      "site_path": "themes/ai-capex-cycle/nodes/servers-racks-ems-systems-integration/index.html",
      "level": "L2 investable operating node",
      "core_count": 5,
      "option_count": 1,
      "watch_count": 0,
      "chart_count": 6,
      "price_data_as_of": "2026-06-12",
      "status": "active",
      "role": "Turns accelerators, memory, networking, storage, cooling interfaces, firmware, and customer bills of materials into deployable AI servers, racks, and manufacturing programs.",
      "description": "Servers, racks, EMS, and systems integration covers OEMs, rack-scale integrators, and outsourced manufacturing partners. The node gets paid when AI server orders, EMS programs, and customer backlog convert into margin, operating cash flow, FCF, and filing-quality evidence."
    },
    {
      "id": "power_cooling_physical_delivery",
      "page_id": "theme_ai_capex_node_power_cooling_physical_delivery",
      "title": "Power, Cooling, And Physical Delivery",
      "slug": "power-cooling-physical-delivery",
      "status": "active",
      "site_path": "themes/ai-capex-cycle/nodes/power-cooling-physical-delivery/index.html",
      "level": "L2 physical-delivery boundary node",
      "core_count": 12,
      "option_count": 0,
      "watch_count": 0,
      "chart_count": 12,
      "price_data_as_of": "2026-06-12",
      "weekly_setup_as_of": "2026-06-05",
      "role": "Tracks suppliers that turn AI data-center spending into energized, cooled, protected, and deliverable capacity.",
      "description": "Power, Cooling, And Physical Delivery ranks the 12-name parent core basket across power and thermal systems, electrical distribution, switchgear, grid equipment, enclosures, and MEP field delivery. The refreshed node uses the latest visual setup, card basket, right-rail chart routing, evidence-board, and source-trail format while preserving stale setup caveats."
    },
    {
      "id": "theme_ai_capex_node_software_security_monetization",
      "title": "Software And Security Monetization",
      "slug": "software-security-monetization",
      "site_path": "themes/ai-capex-cycle/nodes/software-security-monetization/index.html",
      "level": "L2 investable operating node",
      "core_count": 10,
      "option_count": 0,
      "watch_count": 0,
      "chart_count": 10,
      "price_data_as_of": "2026-06-12",
      "status": "active",
      "role": "Tracks whether AI and cloud infrastructure turns into paid operational AI, cybersecurity, data, observability, workflow, database, CRM, and edge-platform revenue.",
      "description": "Software and security monetization covers the downstream test for the AI capex cycle: whether data-center spending becomes paid software, security, data, observability, workflow, database, and edge-platform revenue. Customers pay through subscriptions, usage consumption, ARR, RPO or cRPO, module adoption, retention, large-customer expansion, operating margin, and FCF per share. The current ranked read keeps PLTR first for direct operational AI evidence, PANW and CRWD next for security-platform monetization, then SNOW, DDOG, NOW, MDB, ZS, CRM, and NET for data, observability, workflow, database, zero-trust, CRM, and edge-network conversion."
    },
    {
      "id": "financing_depreciation_roi_pressure",
      "page_id": "theme_ai_capex_node_financing_depreciation_roi_pressure",
      "title": "Financing, Depreciation, And ROI Pressure",
      "slug": "financing-depreciation-roi-pressure",
      "site_path": "themes/ai-capex-cycle/nodes/financing-depreciation-roi-pressure/index.html",
      "level": "L3 core underwriting node",
      "core_count": 10,
      "option_count": 0,
      "watch_count": 4,
      "chart_count": 14,
      "price_data_as_of": "2026-06-12",
      "weekly_setup_as_of": "2026-06-05",
      "status": "active",
      "role": "Tests whether AI infrastructure spending becomes owner cash after capex, depreciation, leases, interest, commitments, customer prepayments, and refinancing costs.",
      "description": "Financing, depreciation, and ROI pressure compares contracted AI compute, cloud growth, ad monetization, productivity software, and backlog conversion with the cash cost of building and financing capacity."
    }
  ]
}
