{
  "model": "Trade Economy Index: AI-Resilience x AI-Leverage",
  "axes": {
    "ai_resilience": {
      "desc": "How protected the trade’s core value is from AI/automation.",
      "subscores": [
        {
          "key": "physical_core",
          "label": "Physical/on-site core",
          "weight": 0.35,
          "desc": "How much of the paid work requires hands-on, on-site skilled labor an AI agent cannot perform."
        },
        {
          "key": "disintermediation",
          "label": "Disintermediation resistance",
          "weight": 0.25,
          "desc": "How hard it is for an AI agent or platform to bypass the contractor and go direct."
        },
        {
          "key": "entry_barrier",
          "label": "AI-native entry barrier",
          "weight": 0.2,
          "desc": "Licensing, trust, relationships, and physical presence that block AI-native new entrants."
        },
        {
          "key": "switching_cost",
          "label": "Customer lock-in",
          "weight": 0.2,
          "desc": "Service agreements, recurring maintenance, and relationships that retain customers."
        }
      ]
    },
    "ai_leverage": {
      "desc": "How much unrealized profit AI can unlock by orchestrating the work around the labor.",
      "subscores": [
        {
          "key": "coordination_drag",
          "label": "Coordination/back-office drag",
          "weight": 0.35,
          "desc": "Share of cost/time in coordination, estimating, scheduling, billing — the work AI can orchestrate."
        },
        {
          "key": "operating_leverage",
          "label": "Operating-leverage step-change",
          "weight": 0.25,
          "desc": "Margin recoverable from mis-costed jobs, rework, billing lag, and cash trapped in open work."
        },
        {
          "key": "revenue_expansion",
          "label": "Revenue expansion",
          "weight": 0.2,
          "desc": "Upside from better bidding, pull-through, and new service lines AI can unlock."
        },
        {
          "key": "data_amplification",
          "label": "Domain-data amplification",
          "weight": 0.2,
          "desc": "How much the trade's proprietary job data compounds in value with AI (Level's core thesis)."
        }
      ]
    }
  },
  "quadrants": [
    "Transform & Win",
    "Safe Haven",
    "Race to Modernize",
    "Under Pressure"
  ],
  "data_provenance": {
    "public": "BLS/OEWS labor stats, IBISWorld/CFMA market & financial benchmarks, public county tax-assessor and building-permit records, public business registries, public business-review listings, and public-equity filings. Every number carries a source.",
    "proprietary": "Aggregate operating benchmarks provided by Level CFO (n disclosed). Aggregate-only; no individual company identified."
  },
  "dimensions": {
    "ai_scores": "AI-Resilience x AI-Leverage — the core AI thesis (see axes).",
    "reputation": "Reputation & professionalization from public review listings — a market-quality dimension published alongside (NOT inside) the AI scores, so the AI model stays a clean, defensible thesis.",
    "firmographics": "Company size, revenue & age per trade from a national multi-source business firmographic dataset — a market-structure dimension, also published alongside the AI scores.",
    "market_structure": "National permit/contractor-density aggregates + Level CFO operating benchmarks.",
    "validation": "Public-equity comp returns as an external market-validation axis."
  },
  "trade_basis": {
    "hvac": "On-site repair/install AI cannot perform; heavy service-agreement lock-in; strong recurring revenue. High coordination drag (dispatch, parts, warranty) = large AI upside. Level core vertical.",
    "plumbing": "Highly physical, emergency-driven, licensed. Lower recurring lock-in than HVAC. Solid but less service-agreement upside.",
    "electrical": "Licensed, physical, code-bound. Controls/low-voltage adds tech-enabled revenue expansion. Strong AI upside in estimating/design.",
    "roofing": "Physical work AI cannot do, but low lock-in and easy new-entrant flow (storm chasers). Big operating-leverage upside: insurance/retail cash-cycle, closeout lag, mis-costed jobs.",
    "glass-glazing": "Custom fabrication + install, project-driven, PM-referral relationships. Job-costing complexity = strong AI-leverage. Level customer vertical (San Mateo Glass).",
    "doors-access": "Install + recurring service/maintenance (dock, access control) = good lock-in. Commercial payment-term cash lag = operating-leverage upside. Level customer vertical (KP Doors).",
    "landscaping": "Physical, but highly fragmented and low entry barrier. Recurring maintenance contracts help lock-in. Crew-productivity + design-build job costing = large AI upside. Level customer vertical (Prestige).",
    "commercial-cleaning": "Physical/fine-motor work robots struggle with, recurring contracts, but very low entry barrier and commodity pricing. Labor-heavy, thin margins = big operating-leverage + true-cost upside. Level customer vertical (AMR).",
    "painting": "Physical, but lowest entry barrier and lock-in of the set. Commercial vs residential margin gap + job costing = operating-leverage upside. Level SMB-tier signal (Jace Barber).",
    "concrete-masonry": "Heavy physical, capital + skill barrier. Project-based, WIP/retainage complexity = strong operating-leverage upside. Low recurring lock-in.",
    "fire-life-safety": "Code-mandated recurring inspection = exceptional lock-in + entry barrier. Compliance recurring revenue. Strong AI upside in scheduling/compliance tracking.",
    "low-voltage-security": "More tech-exposed than pure trades (some remote/monitoring), but recurring monitoring contracts = strong lock-in and revenue expansion. High data-amplification.",
    "restoration": "Emergency physical work, insurance-driven. Very high coordination drag (insurance docs, adjusters, closeout) + cash-cycle pain = large AI + operating-leverage upside. Low lock-in."
  }
}