80% of all jobs globally face total disruption from AI automation by 2035 — Khosrowshahi's high-water-mark Labor-displacement claim, amplifying Yang's 'Great Disemboweling' to a decade-long full-economy transformation.

80% of all jobs globally face total disruption from AI automation by 2035 — Khosrowshahi's high-water-mark Labor-displacement claim, amplifying Yang's 'Great Disemboweling' to a decade-long full-economy transformation. | First major economy registers >20% labor-force displacement

Key catalyst: First major economy registers >20% labor-force displacement

Watch events: Labor-market-participation rates; OECD automation-risk reports

Uber internal metrics: 90% SWEs rely on AI; Goldman Sachs estimates ~300M jobs impacted globally. 80% total-disruption by 2035 aggressive vs most sell-side analysts.

{
  "nia": false,
  "qty": "80%",
  "mode": "FORECAST",
  "role": "Cited-CEO",
  "context": "Extends INF_064 (15-20yr autonomy majority), INF_028 (99% white-collar 2yrs). Uber CEO's externally-facing framing of internal observations.",
  "to_year": 2035,
  "conv_cues": "specific %; specific year; CEO FIRST_PERSON",
  "direction": "HAPPEN",
  "from_year": 2035,
  "timeframe": "by 2035",
  "conv_level": "HIGH",
  "milestones": [
    {
      "kind": "scenario_signal",
      "label": "Scenario fires: AGI fast: drop-in remote worker by 2027-09",
      "status": "pending",
      "weight": 0.5,
      "ordinal": -9,
      "source_id": "S_AGI_FAST_2027",
      "expected_date": "2027-09-30",
      "observed_date": null
    },
    {
      "kind": "llm_pre_event",
      "label": "Anthropic/OpenAI white-collar disruption forecast validated by labor data",
      "source": "Amodei 50%-of-entry-level claim + Goldman 2026 labor outlook",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -8,
      "source_id": null,
      "confidence": 0.55,
      "source_url": "https://www.goldmansachs.com/insights/articles/how-will-ai-affect-the-us-labor-market",
      "expected_date": "2027-10-01",
      "research_origin": "training",
      "expected_date_range": {
        "to": "2028-06-30",
        "from": "2027-01-01"
      },
      "measurement_criterion": "BLS, Census or OECD data shows >=10% YoY decline in entry-level professional/services hiring (legal, accounting, customer service) attributable to AI per economist consensus"
    },
    {
      "kind": "llm_pre_event",
      "label": "Sustained drop-in AI worker capability documented across knowledge work",
      "source": "AGI-fast scenario assumption underlying Khosrowshahi claim",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -7,
      "source_id": null,
      "confidence": 0.6,
      "expected_date": "2028-09-15",
      "research_origin": "training",
      "expected_date_range": {
        "to": "2029-12-31",
        "from": "2027-06-01"
      },
      "measurement_criterion": "Independent benchmark (METR, GAIA, SWE-bench-Verified or successor) shows AI matching/exceeding median human performance on >=80% of office knowledge tasks tested"
    },
    {
      "kind": "llm_pre_event",
      "label": "First major economy registers >5% AI-attributed labor displacement",
      "source": "Goldman 6-7% displacement scenario + St Louis Fed 2026 commentary",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -6,
      "source_id": null,
      "confidence": 0.5,
      "source_url": "https://www.stlouisfed.org/on-the-economy/2026/jan/why-ai-advancements-may-push-some-worker-out-labor-force",
      "expected_date": "2029-07-01",
      "research_origin": "training",
      "expected_date_range": {
        "to": "2030-12-31",
        "from": "2028-01-01"
      },
      "measurement_criterion": "OECD member country reports >=5% of pre-AI workforce displaced/reclassified due to automation per government statistical agency"
    },
    {
      "kind": "llm_post_event",
      "label": "Large-scale UBI or wage insurance pilot launched in OECD country",
      "source": "Yang 'Great Disemboweling' + accumulating displacement data",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -5,
      "source_id": null,
      "confidence": 0.35,
      "expected_date": "2029-12-31",
      "research_origin": "training",
      "expected_date_range": {
        "to": "2031-12-31",
        "from": "2028-01-01"
      },
      "measurement_criterion": "National-level (not municipal) UBI or AI-displacement wage insurance program covering >=1M people enacted via legislation"
    },
    {
      "kind": "llm_pre_event",
      "label": "First major economy registers >20% labor-force displacement (event anchor proxy)",
      "source": "Khosrowshahi 80% claim + scenario fires (AGI fast: drop-in remote worker by 2027-09)",
      "status": "pending",
      "weight": 0.4,
      "ordinal":
... (truncated)