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243_016predictionAuto/Transportautonomous

Autonomous will remain a very large fragmented industry, like OEMs

Predictor: Dara Khosrowshahi · ep#243 "Uber vs. Tesla, Robotaxi Timelines, and the End of Human Driving | Uber CEO Dara Khosrowshahi | #243" · source

Prior probability
55.0%
Current probability
40.6%
evolves via intake + LBP
Conviction
3/5
Signal quality
C
Resolution
pending
Window
2026-04-30 – 2030-11-30
Edges in / out
3 / 0
Tickers exposed
31

Prediction text

Autonomous will remain a very large fragmented industry, like OEMs | there's no reason to think that this won't be a very very big fragmented industry just like the OEM, the car manufacturing business is a very large fragmented industry.

Watch events: Waymo 1M rides/wk (end-2026); Tesla Robotaxi scaling; NHTSA AV rules

Verbatim quote

From episode "Uber vs. Tesla, Robotaxi Timelines, and the End of Human Driving | Uber CEO Dara Khosrowshahi | #243"
there's no reason to think that this won't be a very very big fragmented industry just like the OEM, the car manufacturing business is a very large fragmented industry.

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

5 prob_history rows
0%25%50%75%100%prior 55%2026-04-302026-05-032026-05-17
intake v2milestone miss sweeplbp propagationreference class assignedlegacy v1prior_prob (analyst seed)current = 40.6%

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: 8 pending
  1. 2026-09-01 → 2027-03-31pendingWaymo crosses 1M weekly rides milestone
    How: Waymo publicly reports 1,000,000+ paid weekly rides (current run-rate ~500K, target end-2026)
    Source: deep_research_enrichedconf 70%
  2. 2027-01-13pendingQ1 window check-in (25%)
  3. 2026-09-01 → 2027-06-30pendingTesla, Zoox, Uber-Lucid-Nuro all simultaneously operating commercial robotaxi (multi-stack proof)
    How: All four major robotaxi platforms (Waymo, Tesla, Zoox, Uber/Lucid/Nuro) operating paid public commercial service at the same time; minimum bar for fragmented-OEM thesis
    Source: deep_research_enrichedconf 65%
  4. 2026-12-01 → 2028-06-30pendingNHTSA finalizes federal AV regulatory framework allowing multi-vendor competition
    How: NHTSA publishes final rule or framework for L4 AV deployment that does not de-facto favor one stack; necessary regulatory precondition for fragmented industry
    Source: deep_research_enrichedconf 50%
  5. 2027-09-28pendingQ2 window check-in (50%)
  6. 2027-06-01 → 2028-12-31pending5+ AV stacks reach 100K+ rides/month independently
    How: At least five distinct autonomous-driving stacks (Waymo, Tesla, Zoox, Wayve, Pony, Baidu/Apollo, Mobileye, Cruise-successor) each reach 100K+ paid rides/month independently. Falsifies Tesla-monopoly counter-thesis
    Source: deep_research_enrichedconf 55%
  7. 2028-06-12pendingQ3 window check-in (75%)
  8. 2027-06-01 → 2029-06-30pendingInternational AV operators (Wayve UK, Baidu, Pony, Toyota) confirm US market entry
    How: At least 2 non-US AV stacks announce US market entry/permits, demonstrating the OEM-style global fragmentation pattern Khosrowshahi predicts
    Source: deep_research_enrichedconf 45%

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: 41%)

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
LBP2026-05-17T02:00:01Z40.6%-1.6pp
Network propagation: 42.2% → 40.6%
5-iter LBP, residual 0.00689 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run e607fa96
LBP2026-05-10T02:00:02Z42.2%-3.2pp
Network propagation: 45.4% → 42.2%
6-iter LBP, residual 0.00584 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run e5c18d29
LBP2026-05-03T02:00:01Z45.4%-6.3pp
Network propagation: 51.7% → 45.4%
6-iter LBP, residual 0.00677 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run 1a683ac9
LBP2026-04-30T16:39:51Z51.7%-1.1pp
Network propagation: 52.8% → 51.7%
5-iter LBP, residual 0.00825 · damping 0.5, w_intrinsic 0.5 · method lbp_v2 · run 0c8a4ea3
LBP2026-04-30T02:18:57Z52.8%-2.2pp
Network propagation: 55.0% → 52.8%
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
prereqS_ROBOTAXI_MASS_2030
Robotaxi >10% urban miles by Nov 2030
30.0%0.5500.050-0.206
killerTK06
China-Taiwan Military Conflict
8.0%0.0500.550+0.104
killerTK11
Autonomous Regulatory Block (Level 4 Halt)
10.0%0.0500.550+0.094

Top outgoing (children)

Predictions THIS node influences

No outgoing edges.

Ticker exposure

31 ticker(s) linked

Beneficiaries (24)

INVZWRDLIDRAEVAMBLYPONYOUSTVRRMAMBAAURAIOTHSAIMBGAFBIDUBMWYYGMGOOGLHMCIOTQCOMTMTSLAUBERVWAGY

Adverse (5)

MCYALLCINFPGRTRV

Prerequisites (3)

Predictions that must hit first
TypePredTitleDomainLag
prereqS_ROBOTAXI_MASS_2030Robotaxi >10% urban miles by Nov 2030robotaxi_deployment
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,
  "url": "https://www.youtube.com/watch?v=fzKVYNBg50E",
  "mode": "THESIS",
  "role": "Guest-CEO",
  "context": "there's no reason to think that this won't be a very very big fragmented industry just like the OEM, the car manufacturing business is a very large fragmented industry.",
  "verbatim": "there's no reason to think that this won't be a very very big fragmented industry just like the OEM, the car manufacturing business is a very large fragmented industry.",
  "conv_cues": "no reason to think",
  "direction": "HAPPEN",
  "timeframe": "Long-term",
  "conv_level": "MEDIUM",
  "milestones": [
    {
      "kind": "llm_pre_event",
      "label": "Waymo crosses 1M weekly rides milestone",
      "source": "deep_research_enriched",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -8,
      "source_id": null,
      "confidence": 0.7,
      "source_url": "https://www.bloomberg.com/news/newsletters/2025-12-18/where-robotaxi-rides-will-be-available-in-2026",
      "expected_date": "2026-12-15",
      "research_origin": "deep_research",
      "expected_date_range": {
        "to": "2027-03-31",
        "from": "2026-09-01"
      },
      "measurement_criterion": "Waymo publicly reports 1,000,000+ paid weekly rides (current run-rate ~500K, target end-2026)"
    },
    {
      "kind": "quartile_checkpoint",
      "label": "Q1 window check-in (25%)",
      "status": "pending",
      "weight": 0.05,
      "ordinal": -7,
      "source_id": null,
      "expected_date": "2027-01-13",
      "observed_date": null
    },
    {
      "kind": "llm_pre_event",
      "label": "Tesla, Zoox, Uber-Lucid-Nuro all simultaneously operating commercial robotaxi (multi-stack proof)",
      "source": "deep_research_enriched",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -6,
      "source_id": null,
      "confidence": 0.65,
      "source_url": "https://sfstandard.com/2026/01/07/waymo-has-robotaxi-lead-tesla-zoox-uber-coming-streets/",
      "expected_date": "2027-01-30",
      "research_origin": "deep_research",
      "expected_date_range": {
        "to": "2027-06-30",
        "from": "2026-09-01"
      },
      "measurement_criterion": "All four major robotaxi platforms (Waymo, Tesla, Zoox, Uber/Lucid/Nuro) operating paid public commercial service at the same time; minimum bar for fragmented-OEM thesis"
    },
    {
      "kind": "llm_pre_event",
      "label": "NHTSA finalizes federal AV regulatory framework allowing multi-vendor competition",
      "source": "deep_research_enriched",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -5,
      "source_id": null,
      "confidence": 0.5,
      "source_url": "https://www.thecurbivore.com/p/autonomous-vehicles-in-cities-whats",
      "expected_date": "2027-09-15",
      "research_origin": "deep_research",
      "expected_date_range": {
        "to": "2028-06-30",
        "from": "2026-12-01"
      },
      "measurement_criterion": "NHTSA publishes final rule or framework for L4 AV deployment that does not de-facto favor one stack; necessary regulatory precondition for fragmented industry"
    },
    {
      "kind": "quartile_checkpoint",
      "label": "Q2 window check-in (50%)",
      "status": "pending",
      "weight": 0.05,
      "ordinal": -4,
      "source_id": null,
      "expected_date": "2027-09-28",
      "observed_date": null
    },
    {
      "kind": "llm_pre_event",
      "label": "5+ AV stacks reach 100K+ rides/month independently",
      "source": "deep_research_enriched",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -3,
      "source_id": null,
      "confidence": 0.55,
      "source_url": "https://www.axios.com/2026/04/15/big-three-tesla-waymo-uber-av",
      "expected_date": "2028-03-16",
      "research_origin": "deep_research",
      "expected_date_range": {
        "to": "2028-12-31",
        "from": "2027-06-01"
      },
      "measurement_criterion": "At least five distinct autonomous-driving st
... (truncated)