{
  "note": "Machine-readable sources for checkpoint indicators (checkpoints/IndicatorCatalog.md). Fetched with web-fetcher. 'manual' = no machine-readable source yet; collected at reviews.",
  "specs": [
    {"id": "L1-US", "indicator": "L1", "kind": "light", "jurisdiction": "US",
     "label": "Firms using AI in any business function (last two weeks)",
     "adapter": "xlsx_wide", "url": "https://www.census.gov/hfp/btos/downloads/National.xlsx",
     "sheet": "Response Estimates", "filter": {"Question ID": "7", "Answer ID": "1"},
     "unit": "% of employer firms", "source": "U.S. Census Bureau, Business Trends and Outlook Survey (BTOS)"},
    {"id": "L1-US-next6m", "indicator": "L1", "kind": "light", "jurisdiction": "US",
     "label": "Firms expecting to use AI in the next six months",
     "adapter": "xlsx_wide", "url": "https://www.census.gov/hfp/btos/downloads/National.xlsx",
     "sheet": "Response Estimates", "filter": {"Question ID": "24", "Answer ID": "1"},
     "unit": "% of employer firms", "source": "U.S. Census Bureau, Business Trends and Outlook Survey (BTOS)"},
    {"id": "L2-EU-DE", "indicator": "L2", "kind": "light", "jurisdiction": "EU, DE",
     "label": "Enterprises (10+ employees) using at least one AI technology",
     "adapter": "eurostat", "dataset": "isoc_eb_ai",
     "filters": {"geo": ["EU27_2020", "DE"], "unit": "PC_ENT", "size_emp": "GE10", "indic_is": "E_AI_TANY"},
     "split_by": ["geo"], "last": 1},
    {"id": "L3-AR", "indicator": "L3", "kind": "light", "jurisdiction": "AR",
     "label": "AI use by firms or workers", "adapter": "manual",
     "source": "INDEC / national ICT surveys; OECD / IDB regional data"},
    {"id": "L4", "indicator": "L4", "kind": "light", "jurisdiction": "global",
     "label": "AI task usage by occupation; automation vs. augmentation", "adapter": "manual",
     "source": "Anthropic Economic Index (dataset releases)"},
    {"id": "L5-US", "indicator": "L5", "kind": "light", "jurisdiction": "US",
     "label": "Private fixed investment in information processing equipment (SAAR)",
     "adapter": "http_csv", "url": "https://fred.stlouisfed.org/graph/fredgraph.csv?id=Y033RC1Q027SBEA",
     "value_column": "Y033RC1Q027SBEA", "period_column": "observation_date",
     "unit": "billions of USD, SAAR", "source": "BEA via FRED (Y033RC1Q027SBEA)"},
    {"id": "L6", "indicator": "L6", "kind": "light", "jurisdiction": "US, EU, AR",
     "label": "Public sentiment toward AI", "adapter": "manual",
     "source": "Pew Research; Eurobarometer; Edelman Trust Barometer; Latinobarómetro"},
    {"id": "L7", "indicator": "L7", "kind": "light", "jurisdiction": "US, EU, AR",
     "label": "AI legislation milestones since last checkpoint", "adapter": "manual",
     "source": "official journals; legislative trackers"}
  ]
}