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ROB_017predictionLabor/Jobsgig-10-to-15-years-replacement

Self-driving vehicles and autonomous systems will begin completely replacing human gig workers within 10-15 years — a major societal challenge for millions of drivers reliant on ride-share platforms, necessitating new paradigms for on-demand, AI-assist...

Predictor: Dara Khosrowshahi

Prior probability
58.0%
Current probability
54.5%
evolves via intake + LBP
Conviction
4/5
Signal quality
A
Resolution
pending
Window
2036-01-01 – 2041-12-31
Edges in / out
2 / 0
Tickers exposed
26

Prediction text

Self-driving vehicles and autonomous systems will begin completely replacing human gig workers within 10-15 years — a major societal challenge for millions of drivers reliant on ride-share platforms, necessitating new paradigms for on-demand, AI-assisted human roles that have not yet been invented. | First major gig-worker-displacement labor action

Key catalyst: First major gig-worker-displacement labor action

Watch events: Waymo/Tesla Robotaxi monthly ride counts; gig-worker employment metrics

Resolution evidence

Status: pending

Waymo, Zoox, Tesla Robotaxi, Wave commercial AV deployments scaling 2025-2026; 10-15yr horizon plausible.

Predictor: Dara Khosrowshahi

κ + Brier as of 2026-05-22
κ (discount)
0.688
Brier
0.0105
excellent
Hits / Misses
2 / 0
of 3 resolved
Hit rate
66.7%
Calibration plot (stated vs observed)

Evidence about this node from Dara Khosrowshahi is multiplied by κ in /api/intake. Lower κ = less weight; floors at 0.10 (effectively silenced) and caps at 1.00 (full weight).

Reference class

Not linked

This node isn't linked to a reference class. The Bayesian update applies without outside-view blending.

Probability over time

2 prob_history rows
0%25%50%75%100%prior 58%2026-04-302026-04-30
intake v2milestone miss sweeplbp propagationreference class assignedlegacy v1prior_prob (analyst seed)current = 54.5%

Milestone chain

Pre-event signals (upstream prereqs + window checkpoints) → resolution event → downstream cascades. Status/dates update from linked nodes; re-derive nightly via scripts/ops/derive_milestones.py.
Leading chain: 3 pending
  1. 2037-01-07pendingQ1 window check-in (25%)
  2. 2038-01-15pendingQ2 window check-in (50%)
  3. 2039-01-22pendingQ3 window check-in (75%)

No downstream cascades — this prediction is a leaf in the dependency graph.

What if this resolves?

Clamp this prediction TRUE or FALSE and run a counterfactual Gibbs sample. Surfaces the predictions whose marginals shift most under that assumption.
(live posterior: 55%)

Click a button to clamp this prediction and run a Gibbs sample. Returns the predictions whose marginals shift most. ~30s per run; ideal for stress-testing "if X resolves, what else moves?"

Evidence chain

Every probability update with full Bayesian provenance — chronological, latest first
LBP2026-04-30T16:39:51Z54.5%-1.2pp
Network propagation: 55.7% → 54.5%
5-iter LBP, residual 0.00825 · damping 0.5, w_intrinsic 0.5 · method lbp_v2 · run 0c8a4ea3
LBP2026-04-30T02:18:57Z55.7%-2.3pp
Network propagation: 58.0% → 55.7%
5-iter LBP, residual 0.00825 · damping 0.5, w_intrinsic 0.5 · method lbp_v1 · run 592311ef

Network propagation neighbors

Top edges sorted by latest LBP cross-impact
All propagation →

Top incoming (parents)

Edges that influence THIS node's belief

KindNodeTheir probP(c|s=T)P(c|s=F)Δ implied
killerTK11
Autonomous Regulatory Block (Level 4 Halt)
10.0%0.0500.580-0.018
killerTK06
China-Taiwan Military Conflict
8.0%0.0500.580-0.007

Top outgoing (children)

Predictions THIS node influences

No outgoing edges.

Ticker exposure

26 ticker(s) linked

Beneficiaries (20)

WRDAURINVZAIOTLIDRAEVAMBLYPONYMBGAFBIDUBMWYYDIDIYGMGOOGLHMCIOTTMTSLAUBERVWAGY

Adverse (4)

ALLPGRUBERTRV

Prerequisites (2)

Predictions that must hit first
TypePredTitleDomainLag
killerTK11Autonomous Regulatory Block (Level 4 Halt)
killerTK06China-Taiwan Military Conflict

Dependents (0)

Predictions enabled by this
TypePredTitleDomainLag
No dependents

Raw metadata

From Thesis_Timeline_v1.0_FINAL workbook
{
  "nia": false,
  "qty": "10-15 years gig replacement",
  "mode": "FORECAST",
  "role": "Cited-CEO",
  "context": "Khosrowshahi additional labor framing. Sharper than AI_022 (80% jobs disrupted by 2035); more specific to gig economy. Complements INF_064 (15-20yr AV majority) by acknowledging societal-gap-requiring-new-roles.",
  "to_year": 2041,
  "conv_cues": "CEO FIRST_PERSON; specific timeframe; societal-challenge framing",
  "direction": "HAPPEN",
  "from_year": 2036,
  "timeframe": "2036-2041",
  "conv_level": "HIGH",
  "milestones": [
    {
      "kind": "quartile_checkpoint",
      "label": "Q1 window check-in (25%)",
      "status": "pending",
      "weight": 0.05,
      "ordinal": -3,
      "source_id": null,
      "expected_date": "2037-01-07",
      "observed_date": null
    },
    {
      "kind": "quartile_checkpoint",
      "label": "Q2 window check-in (50%)",
      "status": "pending",
      "weight": 0.05,
      "ordinal": -2,
      "source_id": null,
      "expected_date": "2038-01-15",
      "observed_date": null
    },
    {
      "kind": "quartile_checkpoint",
      "label": "Q3 window check-in (75%)",
      "status": "pending",
      "weight": 0.05,
      "ordinal": -1,
      "source_id": null,
      "expected_date": "2039-01-22",
      "observed_date": null
    },
    {
      "kind": "event",
      "label": "Self-driving vehicles and autonomous systems will begin completely replacing human gig workers within 10-15 years — a major societal challen",
      "status": "pending",
      "weight": 1,
      "ordinal": 0,
      "source_id": "ROB_017",
      "expected_date": "2040-01-30",
      "observed_date": null
    }
  ],
  "repeat_eps": 1,
  "sub_domain": "Jobs",
  "affiliation": "Uber",
  "attribution": "FIRST_PERSON",
  "granularity": "YEAR_RANGE",
  "source_refs": "48",
  "target_date": "2038-06-15T00:00:00",
  "display_date": "2040-01-30",
  "episode_date": "2026-04-22T00:00:00",
  "key_catalyst": "First major gig-worker-displacement labor action",
  "parse_method": "YEAR_RANGE midpoint",
  "domain_bucket": "Labor",
  "episode_title": "The Embodied AI and Automation Horizon: Comprehensive Analysis of Expert Forecasts (2023-2026)",
  "fault_line_id": "F005, F006",
  "flag_repeated": false,
  "in_5yr_window": false,
  "source_report": "Robotics Predictions Search Strategy.md (2026-04-22)",
  "appears_in_eps": "ROB-RPT",
  "futurist_phase": "Phase 3 (2029+)",
  "is_macro_claim": false,
  "total_mentions": 1,
  "priority_weight": 5,
  "ps_cluster_tags": [
    "C9"
  ],
  "report_evidence": "Anchor section: Agentic Era / Corporate Reorganization.",
  "active_end_month": "2041-12",
  "recent_statement": "Khosrowshahi Economic Times 2026.",
  "watch_events_raw": "Waymo/Tesla Robotaxi monthly ride counts; gig-worker employment metrics",
  "months_from_today": 146,
  "probability_layer": "Base-case",
  "active_start_month": "2036-01",
  "flag_nia_bracketed": false,
  "track_record_grade": "B",
  "track_record_notes": "Khosrowshahi AV-transition intuition strong.",
  "contradicting_notes": "Khosrowshahi 243_031 predicts Uber will have MORE drivers in 2030 than today — internal tension on timing.",
  "flag_near_term_2027": false,
  "flag_high_conviction": true,
  "milestones_phase2_at": "2026-05-01T21:36:15.943523+00:00",
  "milestones_derived_at": "2026-05-02T03:08:51.141145+00:00",
  "reference_class_match": {
    "decision": "keyword_filtered",
    "computed_at": "2026-04-30T01:49:13.796883+00:00",
    "best_id_unfiltered": "humanoid_commercial_volume",
    "best_similarity_unfiltered": 0.6026
  },
  "validation_status_raw": "PENDING-UNCERTAIN",
  "composite_signal_score": 46.4,
  "flag_priority_watchlist": false,
  "flag_timeline_near_term": false,
  "recent_statement_source": "economictimes.com 2026",
  "ps_displacement_mechanism": "AV scale compresses auto-insurance + rideshare driver economics."
}