Research coverage

Entry-pathway coverage

Official National Careers Service source for England. The complete index of737 source titles was matched against all3039 catalog occupations.

Entry-pathway lists: 324; unambiguously linked ESCO occupations: 306. 2733 occupations lack a usable unambiguous link; this source is not assigned to262 other geographies. The full catalog is retained.

These are current entry pathways and study-subject examples. They do not establish personal eligibility, duration, cost or program availability in2030/2035.

Map view coverage

Each view retains the full catalog. Combined estimates require both components; absence of one is not low risk.

View	Estimates	Missing
GenAI	864,948	733,566
Robotics	163,086	1,435,428
AI + robotics	125,632	1,472,882

The combined index is the larger prepared AI or robotics index. Multiple occupation mappings use the upper alternative for colour, with the range retained. Fixed editorial cutpoints: 5, 15, 30, 50; adoption alternatives and ±20% band shifts are checked. These guides support comparison and learning exploration, not dismissal probabilities.

Physical-task context

Published robot capability scores, US 2026. Official ESCO–O*NET URI mapping was checked for every catalog occupation.

With source context: 2471 / 3039. Explicit mapping/source gaps: 568. Native O*NET scores: 923.

This historical layer does not add country-year forecasts. The map shows the separate GenAI outlook. Where available, robotics scenarios are counted separately below; total automation risk and actual hour losses are not established.

Separate robotics scenarios

Countries: 33 · Prepared numeric classes and years: 35970.

Occupation-country-year values: 163086; explicit missing states: 1435428. These are a separate channel, not extra unique people or jobs.

2022 enterprise-use baselines and US2026 capabilities with editorial growth assumptions (odds doubling in5years; alternatives10/3). Mapping ranges stay separate, without averaging or a claim of empirical calibration.

Indicative GenAI scenario with site assumptions. It does not predict personal dismissal; robotics and other automation are not included.

Catalog coverage and research coverage are counted separately.

Catalogs and assessments

indicative-public-2026-11-05
Occupations	3,039
Countries and territories	263
GenAI component estimates	864,948 / 1,598,514
Missing GenAI component estimates	733,566
Territories available through the list	11

A complete catalog does not establish a complete risk model. An unknown assessment is not zero or low risk. Source observations and forecasts are counted separately.

Every geography, including list-only territories

Technical coverage fields and manifest

release_id: indicative-public-2026-11-05
occupations: 3039
jurisdictions: 263
geometry_features: 258
list_only: BES, BVT, CCK, CXR, GLP, GUF, MTQ, MYT, REU, SJM, TKL
total_cells: 1598514
existing: 864948
missing: 733566
observations: 2102

All list-only territories remain selectable. Boundary conventions reflect Natural Earth and do not assert sovereignty.

{
  "technology_views": {
    "genai": {
      "missing": 733566,
      "existing": 864948,
      "by_category": {
        "low": 397391,
        "high": 84334,
        "minimal": 63275,
        "missing": 733566,
        "moderate": 317468,
        "very_high": 2480
      }
    },
    "combined": {
      "missing": 1472882,
      "existing": 125632,
      "by_category": {
        "low": 37734,
        "high": 26295,
        "minimal": 293,
        "missing": 1472882,
        "moderate": 60296,
        "very_high": 1014
      }
    },
    "robotics": {
      "missing": 1435428,
      "existing": 163086,
      "by_category": {
        "low": 38625,
        "high": 25,
        "minimal": 122398,
        "missing": 1435428,
        "moderate": 2038,
        "very_high": 0
      }
    }
  },
  "robotics_scenarios": {
    "method_version": "robot-indicative-outlook-v1",
    "prepared_values": 35970,
    "countries": 33,
    "existing": 163086,
    "missing": 1435428
  },
  "robotics": {
    "profiles": 3039,
    "with_context": 2471,
    "missing": 568,
    "native_occupations": 923,
    "purpose": "US_2026_capability_context_not_future_risk"
  },
  "career": {
    "entry_route_profiles": 324,
    "entry_route_occupations": 306,
    "skill_profiles": 3039,
    "historical_market_records": 4156,
    "current_requirement_records": 326,
    "published_transition_records": 0,
    "purpose": "classification_overlap_and_scoped_local_context"
  },
  "work_surveys": {
    "profiles": 12,
    "jurisdictions": 1,
    "purpose": "descriptive_self_reported_work_time_only"
  },
  "joint_workload": {
    "systems": 55,
    "usable": 51,
    "suppressed": 4,
    "jurisdictions": 53,
    "purpose": "descriptive_joint_cohort_only"
  },
  "time_evidence": {
    "records": 13,
    "by_country": {
      "GBR": 6,
      "JPN": 4,
      "USA": 1,
      "unknown": 2
    },
    "by_analysis": {
      "sensitivity": 6,
      "primary": 6,
      "secondary": 1
    }
  },
  "country_parameters": {
    "records": 199,
    "jurisdictions": 154,
    "by_horizon": {
      "2030": 4,
      "2035": 4,
      "historical": 191
    },
    "by_identification": {
      "point": 191,
      "bounded": 5,
      "uninformative": 3
    },
    "by_layer": {
      "adoption": 197,
      "reported_time_savings": 2
    }
  },
  "records_by_kind": {
    "claims": 4672,
    "claim_sources": 5061,
    "crosswalks": 4207,
    "gaps": 3537,
    "jurisdiction_requirements": 326,
    "labour_market_assessments": 4156,
    "metrics": 24,
    "observations": 2102,
    "research_parameters": 199,
    "scenario_inputs": 161214,
    "skill_profiles": 3039,
    "snapshots": 434,
    "source_projections": 2940,
    "sources": 348,
    "technology_profiles": 3039,
    "workforce_profiles": 55,
    "work_surveys": 12
  },
  "missing_by_reason": {
    "source_not_available": 705048,
    "insufficient_detail": 28518
  },
  "observations_by_metric": {
    "eef-reported-preparation-time-ratio": 6,
    "epoch-paired-higher-current-bin": 37,
    "epoch-paired-lower-current-bin": 37,
    "epoch-paired-same-bin-not-zero-change": 37,
    "eurostat-robot-firm-use-2022": 40,
    "ilo-genai-task-mean-2025": 427,
    "microsoft-genai-population-use": 588,
    "robot-exposure-index-0-3-2026": 923,
    "time-log_time_ratio": 1,
    "time-minutes_per_note": 1,
    "time-percent_change_in_task_duration": 1,
    "time-seconds_per_document": 4
  },
  "sources": 348,
  "snapshots": 434,
  "source_projections_by_horizon": {
    "2030": 381,
    "2035": 2559
  },
  "exposure_occupations_with_group_context": 2956,
  "exposure_occupations_with_usable_index": 2942,
  "observations_missing_by_reason": {
    "conflicting_evidence": 1,
    "insufficient_detail": 1,
    "insufficient_evidence": 75,
    "source_not_available": 4
  }
}

{
  "status": "published",
  "horizons": [
    2030,
    2035
  ],
  "release_id": "indicative-public-2026-11-05",
  "scenario_id": "baseline",
  "published_at": "2026-11-05T11:37:48.268Z",
  "dataset_class": "research",
  "model_version": "genai-indicative-outlook-v2",
  "schema_version": "1.0.0",
  "catalog_versions": {
    "occupations": "ESCO v1.2.1",
    "jurisdictions": "iso-codes 53b1c294240bcfb7429bbc225b9caeb9bf2128b3; CLDR snapshot; NE ca96624a56bd078437bca8184e78163e5039ad19"
  },
  "catalog_checksums": {
    "occupations": "eed361bc593ee93a45ff493c9ee63e182dca0bbadbf944880f76966bd7dec93b",
    "jurisdictions": "f31cbfb06f545d16ea73334904dd2186b7e334ad2cf923344161d09bf6e9bc09"
  },
  "synthetic_fixture": false,
  "indicative_context": {
    "purpose": "indicative_work_pressure_not_dismissal_probability",
    "baseline_date": "2026-06-30",
    "baseline_year": 2026,
    "horizon_anchor": "year_end",
    "method_version": "genai-indicative-outlook-v2",
    "technology_scope": "genai_only",
    "threshold_policy": "editorial_index_5_15_30_50",
    "growth_assumption": "usage_odds_double_every_3_years",
    "baseline_use_scope": "population_any_purpose_15_64",
    "empirical_calibration": false,
    "source_group_transfer": "ISCO08_group_proxy_for_ESCO",
    "sensitivity_doubling_years": [
      5,
      3,
      2
    ]
  },
  "technology_view_context": {
    "combination": "maximum_prepared_component_index",
    "default_view": "combined",
    "mapping_policy": "upper_of_published_mapping_alternatives",
    "method_version": "combined-indicative-view-v1",
    "missing_policy": "require_both_for_combined",
    "empirical_calibration": false
  },
  "robotics_outlook_context": {
    "purpose": "separate_editorial_robotics_scenario",
    "baseline_year": 2022,
    "method_version": "robot-indicative-outlook-v1",
    "capability_year": 2026,
    "empirical_calibration": false
  },
  "technology_view_coverage": {
    "genai": {
      "missing": 733566,
      "existing": 864948,
      "by_category": {
        "low": 397391,
        "high": 84334,
        "minimal": 63275,
        "missing": 733566,
        "moderate": 317468,
        "very_high": 2480
      }
    },
    "combined": {
      "missing": 1472882,
      "existing": 125632,
      "by_category": {
        "low": 37734,
        "high": 26295,
        "minimal": 293,
        "missing": 1472882,
        "moderate": 60296,
        "very_high": 1014
      }
    },
    "robotics": {
      "missing": 1435428,
      "existing": 163086,
      "by_category": {
        "low": 38625,
        "high": 25,
        "minimal": 122398,
        "missing": 1435428,
        "moderate": 2038,
        "very_high": 0
      }
    }
  }
}