{"title":"The AI Iceberg Index: Sector \u0026 Role Exposure Across North America","route":"Business-and-Economics/Macroeconomics/Economic-Growth/index.html","paperRoute":"Business-and-Economics/Macroeconomics/Economic-Growth/Paper/index.html","summary":{"workersMillions":151,"occupations":923,"skills":32000,"surfacePct":2.2,"surfaceBillions":211,"submergedPct":11.7,"submergedBillions":1200,"combinedPct":13.9,"submergedToSurfaceRatio":5.32,"industries":12,"regions":12},"roleFamilies":[{"key":"analytical","label":"Analytical, Engineering \u0026 Tech","surfacePct":14.0,"submergedPct":34.0},{"key":"admin","label":"Administrative, Clerical \u0026 Ops Support","surfacePct":2.5,"submergedPct":46.0},{"key":"management","label":"Management, Finance \u0026 Strategy","surfacePct":2.0,"submergedPct":24.0},{"key":"sales","label":"Sales, Intake \u0026 Client Service","surfacePct":2.2,"submergedPct":22.0},{"key":"trades","label":"Skilled Trades, Plant \u0026 Transport","surfacePct":0.4,"submergedPct":4.5},{"key":"care","label":"Hands-On Clinical, Site \u0026 Hospitality","surfacePct":0.3,"submergedPct":3.5}],"industries":[{"code":"51","name":"Information, Software \u0026 Media","employmentShare":2.1,"gdpShare":5.5,"medianWage":104000,"surfacePct":16.8,"submergedPct":26.4,"roles":{"analytical":44,"admin":12,"management":16,"sales":16,"trades":8,"care":4},"aiWipeoutRisk":"Routine coding, QA boilerplate, localization, tier-1 support, and ad-ops scheduling.","humanMoat":"Systems architecture, novel product direction, proprietary data negotiation, and security accountability."},{"code":"52","name":"Finance, Insurance \u0026 Real Estate","employmentShare":6.0,"gdpShare":20.7,"medianWage":84000,"surfacePct":4.2,"submergedPct":28.6,"roles":{"analytical":26,"admin":28,"management":18,"sales":22,"trades":2,"care":4},"aiWipeoutRisk":"Underwriting packets, claims triage, KYC/AML document review, routine financial modeling, and reconciliation.","humanMoat":"Fiduciary sign-off, complex deal structuring, regulatory relationship management, and physical asset appraisal."},{"code":"54","name":"Professional, Scientific \u0026 Technical","employmentShare":7.4,"gdpShare":8.1,"medianWage":96000,"surfacePct":6.9,"submergedPct":27.1,"roles":{"analytical":46,"admin":18,"management":16,"sales":10,"trades":5,"care":5},"aiWipeoutRisk":"Junior legal discovery, contract redlining, standard CAD drafting, tax prep, and market-research synthesis.","humanMoat":"Wet-lab experimentation, courtroom advocacy, P.Eng. stamp liability, and ambiguous client problem-framing."},{"code":"31-33","name":"Manufacturing (Advanced \u0026 Process)","employmentShare":8.3,"gdpShare":10.3,"medianWage":61000,"surfacePct":1.4,"submergedPct":11.8,"roles":{"analytical":14,"admin":11,"management":10,"sales":6,"trades":54,"care":5},"aiWipeoutRisk":"ERP supply-chain scheduling, quality-log reporting, vendor invoicing, and routine BOM procurement.","humanMoat":"Line maintenance, die/tooling setup, physical process troubleshooting on the shop floor, and safety lockouts."},{"code":"62","name":"Healthcare \u0026 Social Assistance","employmentShare":14.1,"gdpShare":8.6,"medianWage":63000,"surfacePct":0.9,"submergedPct":10.4,"roles":{"analytical":10,"admin":18,"management":8,"sales":4,"trades":4,"care":56},"aiWipeoutRisk":"Medical coding (ICD-10), prior-authorization paperwork, intake transcription, and shift rostering.","humanMoat":"Bedside nursing, surgical \u0026 emergency intervention, physical therapy, and high-trust patient care."},{"code":"92","name":"Public Administration \u0026 Government","employmentShare":4.8,"gdpShare":11.4,"medianWage":72000,"surfacePct":1.1,"submergedPct":15.9,"roles":{"analytical":20,"admin":30,"management":14,"sales":6,"trades":10,"care":20},"aiWipeoutRisk":"Permit intake verification, benefits eligibility screening, freedom-of-information redaction, and case summaries.","humanMoat":"First-responder policing/fire, statutory adjudication, public hearings, and field inspections."},{"code":"61","name":"Educational Services","employmentShare":8.9,"gdpShare":5.2,"medianWage":59000,"surfacePct":1.3,"submergedPct":12.6,"roles":{"analytical":16,"admin":16,"management":10,"sales":4,"trades":6,"care":48},"aiWipeoutRisk":"Standardized grading, syllabus/worksheet drafting, admissions paperwork, and registrar scheduling.","humanMoat":"In-room classroom management, childhood socialization, hands-on lab instruction, and mentorship."},{"code":"42-45","name":"Retail \u0026 Wholesale Trade","employmentShare":12.8,"gdpShare":11.9,"medianWage":44000,"surfacePct":1.2,"submergedPct":10.9,"roles":{"analytical":6,"admin":14,"management":10,"sales":42,"trades":18,"care":10},"aiWipeoutRisk":"Call-center order tracking, catalog copywriting, demand forecasting sheets, and automated checkout.","humanMoat":"Floor merchandising, complex B2B technical sales, loss prevention, and last-yard stocking."},{"code":"48-49","name":"Transportation, Warehousing \u0026 Utilities","employmentShare":5.1,"gdpShare":4.9,"medianWage":58000,"surfacePct":0.8,"submergedPct":8.7,"roles":{"analytical":8,"admin":14,"management":8,"sales":5,"trades":58,"care":7},"aiWipeoutRisk":"Freight brokerage matching, customs manifest filing, dispatch routing, and billing audit.","humanMoat":"Heavy-haul driving in adverse weather, high-voltage line repair, marine/rail operations, and physical loading."},{"code":"21","name":"Energy, Mining \u0026 Oil/Gas Extraction","employmentShare":1.6,"gdpShare":3.4,"medianWage":89000,"surfacePct":1.5,"submergedPct":9.8,"roles":{"analytical":22,"admin":10,"management":10,"sales":4,"trades":48,"care":6},"aiWipeoutRisk":"Seismic log pre-screening, reservoir simulation setup, land-lease clerical compliance, and SCADA reporting.","humanMoat":"Rig/wellhead operations, pipeline maintenance, field geology, and hazardous-environment turnaround crews."},{"code":"23","name":"Construction \u0026 Civil Infrastructure","employmentShare":6.1,"gdpShare":4.4,"medianWage":62000,"surfacePct":0.5,"submergedPct":5.4,"roles":{"analytical":8,"admin":9,"management":11,"sales":4,"trades":64,"care":4},"aiWipeoutRisk":"Quantity takeoffs, routine bid estimation, RFIs, and progress-billing paperwork.","humanMoat":"Unstructured job-site carpentry, electrical, plumbing, ironwork, crane operation, and municipal inspection."},{"code":"72","name":"Accommodation, Food \u0026 Recreation","employmentShare":9.4,"gdpShare":3.6,"medianWage":34000,"surfacePct":0.4,"submergedPct":4.8,"roles":{"analytical":2,"admin":7,"management":9,"sales":14,"trades":8,"care":60},"aiWipeoutRisk":"Reservation bots, drive-thru voice ordering, and multi-property revenue pricing.","humanMoat":"Line cooking, table hospitality, housekeeping, live events, and culinary craft."}],"regions":[{"id":"ON","name":"Ontario (Toronto–Waterloo–Auto Corridor)","country":"Canada","x":635,"y":195,"gdpBillions":830,"workersMillions":8.0,"surfacePct":2.6,"submergedPct":13.1,"sectors":{"Finance \u0026 Insurance":22,"Manufacturing":13,"Prof. \u0026 Tech":11,"Healthcare \u0026 Ed":15,"Trade \u0026 Logistics":16,"Construction \u0026 Energy":9},"signature":"High submerged exposure in Bay Street back-office finance alongside protected auto/process manufacturing in southwestern Ontario."},{"id":"AB","name":"Alberta (Calgary–Edmonton–Oil Sands)","country":"Canada","x":285,"y":135,"gdpBillions":345,"workersMillions":2.5,"surfacePct":1.6,"submergedPct":9.9,"sectors":{"Energy \u0026 Mining":26,"Construction \u0026 Engineering":13,"Finance \u0026 Corporate HQ":12,"Trade \u0026 Logistics":14,"Healthcare \u0026 Ed":13,"Manufacturing \u0026 Ag":11},"signature":"Field extraction and skilled trades anchor a high physical moat, while Calgary corporate/engineering headquarters carry the submerged AI exposure."},{"id":"BC","name":"British Columbia (Pacific Gateway)","country":"Canada","x":195,"y":145,"gdpBillions":310,"workersMillions":2.9,"surfacePct":2.5,"submergedPct":11.4,"sectors":{"Real Estate \u0026 Finance":21,"Trade, Port \u0026 Logistics":16,"Prof., Tech \u0026 Film":12,"Forestry, Mining \u0026 Energy":11,"Healthcare \u0026 Ed":15,"Hospitality":9},"signature":"Port logistics, natural resources, and construction balance urban software/VFX exposure in Vancouver."},{"id":"QC","name":"Quebec (Montreal–Aerospace \u0026 Hydro)","country":"Canada","x":705,"y":165,"gdpBillions":440,"workersMillions":4.5,"surfacePct":2.4,"submergedPct":12.0,"sectors":{"Manufacturing \u0026 Aerospace":15,"Finance \u0026 Admin":16,"Prof., AI \u0026 Tech":11,"Healthcare \u0026 Public":19,"Trade \u0026 Logistics":15,"Hydro \u0026 Resources":8},"signature":"Strong AI research hub (Mila) paired with heavy aerospace/industrial manufacturing and public-sector services."},{"id":"CA","name":"California (Bay Area–SoCal–Central Valley)","country":"USA","x":165,"y":315,"gdpBillions":4100,"workersMillions":18.6,"surfacePct":4.8,"submergedPct":13.6,"sectors":{"Info, Software \u0026 Media":15,"Finance \u0026 Real Estate":20,"Prof. \u0026 Biotech":13,"Trade \u0026 Ports":14,"Healthcare \u0026 Ed":14,"Manufacturing \u0026 Ag":11},"signature":"Highest visible 'tip of the iceberg' (4.8%) due to Silicon Valley, plus large submerged exposure in entertainment, legal, and financial ops."},{"id":"TX","name":"Texas (Houston–DFW–Austin Triangle)","country":"USA","x":430,"y":375,"gdpBillions":2650,"workersMillions":14.2,"surfacePct":2.3,"submergedPct":11.2,"sectors":{"Energy, Refining \u0026_Chem":17,"Manufacturing \u0026 Semis":12,"Trade \u0026 Logistics":16,"Finance \u0026 Corporate":16,"Prof. \u0026 Tech":11,"Construction":9},"signature":"DFW/Austin corporate \u0026 tech hubs create mid-tier cognitive exposure, buffered by Gulf Coast energy, refining, and construction."},{"id":"NY","name":"New York \u0026 Tri-State Corridor","country":"USA","x":745,"y":240,"gdpBillions":2250,"workersMillions":9.8,"surfacePct":3.4,"submergedPct":15.8,"sectors":{"Finance \u0026 Insurance":29,"Prof., Legal \u0026 Media":16,"Healthcare \u0026 Ed":17,"Public Admin":10,"Trade \u0026 Real Estate":14,"Manufacturing":5},"signature":"Highest submerged Iceberg exposure (15.8%): dense concentration of financial analysis, compliance, legal, and administrative roles."},{"id":"GL","name":"Great Lakes Manufacturing Belt (MI/OH/IL/IN)","country":"USA","x":580,"y":260,"gdpBillions":3150,"workersMillions":19.4,"surfacePct":1.6,"submergedPct":11.9,"sectors":{"Manufacturing \u0026 Auto":19,"Finance, Insurance \u0026 HQ":17,"Trade, Rail \u0026 Logistics":16,"Healthcare \u0026 Ed":15,"Prof. \u0026 Engineering":10,"Agriculture":6},"signature":"The classic Iceberg case highlighted by ORNL: low visible tech-sector share (1.6%), but 7.4x larger submerged exposure in plant administration, supply chain, and insurance."},{"id":"NE","name":"New England (Boston Biotech \u0026 Hartford Finance)","country":"USA","x":790,"y":210,"gdpBillions":1420,"workersMillions":7.5,"surfacePct":3.5,"submergedPct":14.4,"sectors":{"Prof., Biotech \u0026 R\u0026D":17,"Finance \u0026 Insurance":21,"Higher Ed \u0026 Healthcare":20,"Info \u0026 Software":9,"Precision Manufacturing":10,"Trade":11},"signature":"High white-collar density in insurance, asset management, and university administration alongside protected wet-lab R\u0026D."},{"id":"PNW","name":"Pacific Northwest (Seattle–Portland)","country":"USA","x":190,"y":215,"gdpBillions":1180,"workersMillions":6.1,"surfacePct":4.4,"submergedPct":12.5,"sectors":{"Cloud, Software \u0026 Retail HQ":18,"Aerospace \u0026 Manufacturing":13,"Trade, Ports \u0026 Timber":15,"Finance \u0026 Real Estate":17,"Healthcare \u0026 Ed":14,"Construction":8},"signature":"Second-highest visible tech exposure (4.4%) from hyperscale cloud \u0026 software HQs, contrasted with aerospace machining and maritime trade."},{"id":"SE","name":"US Southeast (Atlanta–Charlotte–Florida)","country":"USA","x":665,"y":355,"gdpBillions":3800,"workersMillions":24.5,"surfacePct":1.9,"submergedPct":11.6,"sectors":{"Trade, Ports \u0026 Aviation":18,"Banking \u0026 Back-Office":18,"Hospitality \u0026 Tourism":14,"Healthcare":15,"Construction":10,"Auto \u0026 Aero Mfg":9},"signature":"Charlotte banking and Atlanta corporate back-offices drive submerged clerical exposure; hospitality and construction remain physical."},{"id":"MW","name":"Mountain \u0026 Plains (CO/UT/NM/KS)","country":"USA","x":345,"y":285,"gdpBillions":1650,"workersMillions":9.2,"surfacePct":2.4,"submergedPct":11.1,"sectors":{"Energy, Mining \u0026 Ag":15,"Aerospace, Defense \u0026 Labs":14,"Prof. \u0026 Tech":13,"Finance \u0026 Real Estate":16,"Healthcare \u0026 Ed":14,"Tourism \u0026 Trade":14},"signature":"National laboratories, aerospace engineering, and resource extraction balance mid-level administrative exposure."}]}