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S_ROBOTAXI_MASS_2030scenariorobotaxi_deployment

Robotaxi >10% urban miles by Nov 2030

Prior probability
30.0%
Current probability
30.0%
evolves via intake + LBP
Conviction
Signal quality
Resolution
pending
Window
2026-04-30 – 2030-11-30
Edges in / out
0 / 51
Tickers exposed
0

Prediction text

Mass autonomous: significant share of urban transportation.

Predictor calibration

Not assigned

This node has no predictor assigned. Default κ=0.5 applies to any intake evidence about it.

Reference class

Not linked

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

Probability over time

0 prob_history rows
No probability history yet.

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.

No milestone chain derived yet. Run scripts/ops/derive_milestones.py to populate from prereq edges + window checkpoints.

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: 30%)

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

No probability history yet. The first evidence will arrive via /api/intake or the daily milestone sweep / weekly LBP run.

Network propagation neighbors

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

Top incoming (parents)

Edges that influence THIS node's belief

No incoming edges.

Top outgoing (children)

Predictions THIS node influences

KindNodeTheir probP(c|s=T)P(c|s=F)Δ implied
prereq243_006
Autonomous fleets will move to asset-light model with financDara Khosrowshahi
48.1%0.6000.050-0.266
prereq242_021
Autonomous ride costs will drop 10x vs todayDave Blundin
48.1%0.6000.050-0.266
prereq238_018
Uber drivers face rampant, imminent job loss from self-driviDave Blundin
48.5%0.6500.050-0.255
prereq243_022
Cost per trip will come down and safety per trip will come uDara Khosrowshahi
48.4%0.6500.050-0.254
prereq243_010
Human drivers will eventually be removed from Tesla FSD backDara Khosrowshahi
48.3%0.6500.050-0.253

Prerequisites (0)

Predictions that must hit first
TypePredTitleDomainLag
No prerequisites

Dependents (51)

Predictions enabled by this
TypePredTitleDomainLag
prereq243_010Human drivers will eventually be removed from Tesla FSD backup roleAuto/Transport
prereq243_022Cost per trip will come down and safety per trip will come up as autonomous proliferatesAuto/Transport
prereq238_018Uber drivers face rampant, imminent job loss from self-driving carsAuto/Transport
prereq242_021Autonomous ride costs will drop 10x vs todayAuto/Transport
prereq242_059Self-flying eVTOLs will be the norm given AI safety advantagesAuto/Transport
prereq234_031Only 20 million cars needed once FSD robotaxis arrive, down from 140 millionAuto/Transport
prereq242_017Self-driving will become 95-97% safer than human drivingAuto/Transport
prereq243_020Autonomous will take a while to penetrate developing markets (70+ countries Uber operates in)Auto/Transport
prereq243_021Autonomous cars will make it not sensible to own your own carAuto/Transport
prereq243_023Autonomous is enormous opportunity for TAM expansion across mobility and deliveryAuto/Transport
prereq243_025Middle East (UAE, KSA) will be most forward-leaning on autonomous vehicle deploymentAuto/Transport
prereq243_047Autonomous revolution will have even more impact on society than UberAuto/Transport
prereq244_001Technology will always be a part of the human driving experienceAuto/Transport
prereq244_005Fewer and fewer drivers on the road, like fewer people knowing how to ride a horseAuto/Transport
prereq244_009Autonomous insurance will have multiple layers: AV provider coverage plus additional layersAuto/Transport
prereq244_011Autonomous transportation will eventually make transportation cheaperAuto/Transport
prereq234_030Auto insurance industry will shrink as crashes decline from self-drivingAuto/Transport
prereq243_001Autonomous vehicle market will develop in a hybrid way, not binary all-or-nothingAuto/Transport
prereq243_005There will be many many winners in the autonomous spaceAuto/Transport
prereq243_006Autonomous fleets will move to asset-light model with financial owners like Blackstone owning fleetsAuto/Transport
prereq243_007Autonomous mobility will become another trillion-dollar marketplaceAuto/Transport
prereq243_008Streets will be safer as autonomous cars don't get distracted or tiredAuto/Transport
prereq243_011Autonomous driver will be much safer than a human beingAuto/Transport
prereq243_012Liability costs will come down industry-wide with autonomous drivingAuto/Transport
prereq243_018Fleet turnover from human-driven to autonomous will take a very long time due to 10+ year avg car lifeAuto/Transport
prereq243_019Autonomous will become a very big part of developed markets, cost curves will come downAuto/Transport
prereq243_009Regulation will come into place making autonomous safety case demonstrably superiorAuto/Transport
prereq243_016Autonomous will remain a very large fragmented industry, like OEMsAuto/Transport
prereq243_034Autonomous is bringing new customers and expanding the market, not just replacing human drivingAuto/Transport
prereq243_036Price of rides will come down with autonomous drivingAuto/Transport
prereq243_037Drivers will be able to transition to becoming fleet managers/owners of autonomous vehiclesLabor/Jobs
prereq244_015AV insurance model (driver vs platform vs combination) is TBD for a young industryAuto/Transport
prereq242_018Human driving will never become illegal; driving will be redefined as higher abstractionAuto/Transport
prereq234_038Real estate is not an asset class impervious to the singularityReal Estate
correlateINF_065Uber has committed an initial $100 million specifically to develop EV charging infrastructure tailored for robotaxis in major urban centers — starting with Los Angeles, the San Francisco Bay Area, and Dallas.Auto/Transport
correlate243_002Uber will be in 15 cities with autonomous partners by end of 2026Auto/Transport
correlateSPC_025Critical misalignment in the AI industry: approximately 300 AI capabilities researchers for every one AGI safety researcher — extreme systemic risk as these autonomous systems are deployed into physical domains like space and embodied robotics.AI
correlate240_037Amazon Zoox Robotaxi will launch in LA in 2027Auto/Transport
correlateINF_064Within 15-20 years, the vast majority of global ride-hailing trips will be fulfilled by autonomous robotic vehicles — with human labor entirely removed from driving/delivery and transitioned to "mission control" roles (fleet maintenance, rapid rechargi...Auto/Transport
correlate246_039Autonomous vehicles/flying cars coming by 2028.Auto/Transport
correlate230_018In 5 years, 70-80% of cars will be autonomous, especially hooked up to your AI.Auto/Transport
correlate243_003By 2029, Uber will facilitate more autonomous/robotaxi rides than anyone else in the worldAuto/Transport
correlate243_013Every new car sold 10 years from now will have autonomous softwareAuto/Transport
correlate244_002Humans will be demonstrably less safe than autonomous drivers (within 25 years, not 15)Auto/Transport
correlate243_017Cost of lidar and cameras will continue coming down, making new cars autonomous-ready within 10 yearsAuto/Transport
correlateAUT_0222026 is the definitive 'inflection year' for Autonomous Vehicles — forecasting 33 distinct consumer AV launches and expansion of AV services into 9 new major US cities; China will aggressively lead global adoption, accounting for half the global smart-...Auto/Transport
correlateCOD_AI_004Frontier agents reach one-workday autonomous task horizon by end 2027AI
correlate243_01410+ autonomous providers will operate on streets of LA a decade from nowAuto/Transport
correlateAUT_023Urban air mobility (eVTOL) market will generate $29 billion by 2030, scaling exponentially to over $1 trillion by 2040 — ~35x growth over 10 years as regulatory certification, manufacturing capacity, and urban vertiport infrastructure mature.Auto/Transport
correlateAUT_013'Unsupervised' Tesla Robotaxis will achieve operational capability across 25-50% of the United States by end of 2026 — initial production slow but deployment scales to capture multi-trillion-dollar transportation market. Humanoid robots (Optimus) event...Auto/Transport
correlateROB_011An Optimus unit will be sent to Mars by 2026 — signaling the role of autonomous robotics in extraterrestrial colonization and intertwining robotic + interplanetary expansion; robotic precursors precede biological humans in planetary exploration.Space

Linked documents (10)

Auto-generated by cosine similarity from Polymarket / Manifold / EDGAR / GDELT

Raw metadata

From Thesis_Timeline_v1.0_FINAL workbook
{
  "phase": "robotaxi_phase_3",
  "fork_key": "robotaxi",
  "dimension": "robotaxi_deployment",
  "family_type": "cumulative",
  "family_label": "Robotaxi",
  "family_order": 3
}