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243_020predictionAuto/Transportautonomous

Autonomous will take a while to penetrate developing markets (70+ countries Uber operates in)

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

Prior probability
60.0%
Current probability
44.4%
evolves via intake + LBP
Conviction
4/5
Signal quality
C
Resolution
pending
Window
2026-04-30 – 2030-11-30
Edges in / out
4 / 0
Tickers exposed
31

Prediction text

Autonomous will take a while to penetrate developing markets (70+ countries Uber operates in) | we operate in 70 plus countries and a lot of developing markets autonomous is going to take a a while to penetrate.

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"
we operate in 70 plus countries and a lot of developing markets autonomous is going to take a a while to penetrate.

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 60%2026-04-302026-05-032026-05-17
intake v2milestone miss sweeplbp propagationreference class assignedlegacy v1prior_prob (analyst seed)current = 44.4%

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. 2027-02-27pendingQ1 window check-in (25%)
  2. 2027-12-27pendingQ2 window check-in (50%)
  3. 2027-12-31pendingZero major Latin American or African capital city has commercial driverless service
    How: Audit of Sao Paulo, Mexico City, Buenos Aires, Lagos, Nairobi, Cairo confirms no driverless commercial robotaxi rides available to public; only pilots with safety drivers permitted
    Source: Brazil Sao Paulo Level 3 pilots 2024 + slow LATAM rollout patternconf 75%
  4. 2026-06-01 → 2029-08-24pendingWEF or World Bank report flags AV-divide between developed and developing markets
    How: WEF, World Bank, or UN ECE publishes flagship report explicitly framing autonomous vehicle adoption gap between OECD and Global South as multi-decade phenomenon
    Source: WEF May 2025 AV when-will report + MDPI 2024 developing-country studyconf 55%
  5. 2026-04-30 → 2029-12-31pendingIndia publishes national autonomous-vehicle regulatory framework
    How: Indian Ministry of Road Transport or NITI Aayog issues binding national AV testing/deployment regulation; current state has no national framework
    Source: PatentPC global policy trends reportconf 55%
  6. 2028-10-25pendingQ3 window check-in (75%)
  7. 2028-12-31pendingUber's developing-market driverless ride share remains <2% by 2028
    How: Uber 10-K or investor day discloses that AV-fulfilled rides in 70+ developing markets where Uber operates remain <2% of total trips in those geographies
    Source: Khosrowshahi 'take a while to penetrate' quoteconf 70%
  8. 2029-08-24pendingDeveloping-market autonomous penetration delay confirmed by 2029
    How: Aggregate AV penetration across 70 developing-country Uber markets remains <5% of new vehicle sales / <2% of urban passenger-miles per Ken Research, McKinsey emerging-markets data
    Source: Khosrowshahi developing-market penetration quoteconf 65%

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: 44%)

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
LBP2026-05-17T02:00:01Z44.4%-1.7pp
Network propagation: 46.2% → 44.4%
5-iter LBP, residual 0.00689 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run e607fa96
LBP2026-05-10T02:00:02Z46.2%-3.4pp
Network propagation: 49.6% → 46.2%
6-iter LBP, residual 0.00584 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run e5c18d29
LBP2026-05-03T02:00:01Z49.6%-6.8pp
Network propagation: 56.4% → 49.6%
6-iter LBP, residual 0.00677 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run 1a683ac9
LBP2026-04-30T16:39:51Z56.4%-1.2pp
Network propagation: 57.6% → 56.4%
5-iter LBP, residual 0.00825 · damping 0.5, w_intrinsic 0.5 · method lbp_v2 · run 0c8a4ea3
LBP2026-04-30T02:18:57Z57.6%-2.4pp
Network propagation: 60.0% → 57.6%
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%0.6000.050-0.229
killerTK06
China-Taiwan Military Conflict
8.0%0.0500.600+0.112
killerTK11
Autonomous Regulatory Block (Level 4 Halt)
10.0%0.0500.600+0.101

Top outgoing (children)

Predictions THIS node influences

No outgoing edges.

Ticker exposure

31 ticker(s) linked

Beneficiaries (24)

INVZWRDLIDRAEVAMBLYPONYOUSTVRRMAMBAAURAIOTHSAIMBGAFBIDUBMWYYGMGOOGLHMCIOTQCOMTMTSLAUBERVWAGY

Adverse (5)

MCYALLCINFPGRTRV

Prerequisites (4)

Predictions that must hit first
TypePredTitleDomainLag
prereqS_ROBOTAXI_MASS_2030Robotaxi >10% urban miles by Nov 2030robotaxi_deployment
correlateS_ROBOTAXI_TESLA_2026Tesla FSD unsupervised wide deployment by Nov 2026robotaxi_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,
  "qty": "slow",
  "url": "https://www.youtube.com/watch?v=fzKVYNBg50E",
  "mode": "PREDICTION",
  "role": "Guest-CEO",
  "context": "a lot of developing markets autonomous is going to take a a while to penetrate.",
  "verbatim": "we operate in 70 plus countries and a lot of developing markets autonomous is going to take a a while to penetrate.",
  "conv_cues": "going to take a while",
  "direction": "HAPPEN",
  "timeframe": "A while",
  "conv_level": "HIGH",
  "milestones": [
    {
      "kind": "scenario_signal",
      "label": "Scenario fires: Tesla FSD unsupervised wide deployment by Nov 2026",
      "status": "pending",
      "weight": 0.05,
      "ordinal": -8,
      "source_id": "S_ROBOTAXI_TESLA_2026",
      "expected_date": "2026-11-30",
      "observed_date": null
    },
    {
      "kind": "quartile_checkpoint",
      "label": "Q1 window check-in (25%)",
      "status": "pending",
      "weight": 0.05,
      "ordinal": -7,
      "source_id": null,
      "expected_date": "2027-02-27",
      "observed_date": null
    },
    {
      "kind": "quartile_checkpoint",
      "label": "Q2 window check-in (50%)",
      "status": "pending",
      "weight": 0.05,
      "ordinal": -6,
      "source_id": null,
      "expected_date": "2027-12-27",
      "observed_date": null
    },
    {
      "kind": "llm_pre_event",
      "label": "Zero major Latin American or African capital city has commercial driverless service",
      "source": "Brazil Sao Paulo Level 3 pilots 2024 + slow LATAM rollout pattern",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -5,
      "source_id": null,
      "confidence": 0.75,
      "source_url": "https://patentpc.com/blog/regulations-for-autonomous-vehicles-where-do-countries-stand-in-2024-2030-global-policy-trends",
      "expected_date": "2027-12-31",
      "research_origin": "deep_research",
      "measurement_criterion": "Audit of Sao Paulo, Mexico City, Buenos Aires, Lagos, Nairobi, Cairo confirms no driverless commercial robotaxi rides available to public; only pilots with safety drivers permitted"
    },
    {
      "kind": "llm_post_event",
      "label": "WEF or World Bank report flags AV-divide between developed and developing markets",
      "source": "WEF May 2025 AV when-will report + MDPI 2024 developing-country study",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -4,
      "source_id": null,
      "confidence": 0.55,
      "source_url": "https://www.weforum.org/stories/2025/05/autonomous-vehicles-technology-future/",
      "expected_date": "2028-01-12",
      "research_origin": "deep_research",
      "expected_date_range": {
        "to": "2029-08-24",
        "from": "2026-06-01"
      },
      "measurement_criterion": "WEF, World Bank, or UN ECE publishes flagship report explicitly framing autonomous vehicle adoption gap between OECD and Global South as multi-decade phenomenon"
    },
    {
      "kind": "llm_pre_event",
      "label": "India publishes national autonomous-vehicle regulatory framework",
      "source": "PatentPC global policy trends report",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -3,
      "source_id": null,
      "confidence": 0.55,
      "source_url": "https://patentpc.com/blog/regulations-for-autonomous-vehicles-where-do-countries-stand-in-2024-2030-global-policy-trends",
      "expected_date": "2028-02-29",
      "research_origin": "deep_research",
      "expected_date_range": {
        "to": "2029-12-31",
        "from": "2026-04-30"
      },
      "measurement_criterion": "Indian Ministry of Road Transport or NITI Aayog issues binding national AV testing/deployment regulation; current state has no national framework"
    },
    {
      "kind": "quartile_checkpoint",
      "label": "Q3 window check-in (75%)",
      "status": "pending",
      "weight": 0.05,
      "ordinal": -2,
      "source_id": null,
      "expected_date": "2028-10-25",
      "observed_date": null
    },
    {
      "ki
... (truncated)