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244_030predictionOtherAI-timing

Physical world tech adoption always takes longer than digital world

Predictor: Dara Khosrowshahi · ep#244 "Uber's Robotaxi Playbook, End of Human Driving & $10B Bet on Robots | Dara Khosrowshahi (Uber CEO)" · source

Prior probability
60.0%
Current probability
52.9%
evolves via intake + LBP
Conviction
4/5
Signal quality
C
Resolution
pending
Window
— – —
Edges in / out
3 / 0
Tickers exposed
33

Prediction text

Physical world tech adoption always takes longer than digital world | I think that the onset of these technologies in the physical world always takes longer than the digital world.

Verbatim quote

From episode "Uber's Robotaxi Playbook, End of Human Driving & $10B Bet on Robots | Dara Khosrowshahi (Uber CEO)"
I think that the onset of these technologies in the physical world always takes longer than the digital world.

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

3 prob_history rows
0%25%50%75%100%prior 60%2026-04-302026-04-302026-05-03
intake v2milestone miss sweeplbp propagationreference class assignedlegacy v1prior_prob (analyst seed)current = 52.9%

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. 2026-12-31pendingRobotaxi commercial revenue per AV-mile lags ridehail by 5x+ in 2026
    How: Waymo + Pony.ai + Apollo Go combined revenue/mile <20% of human-driven Uber/Lyft baseline through 2026 — confirms physical-tech adoption lag
    Source: Waymo investor disclosures, Pony.ai 10-Q, Uber economics disclosuresconf 80%
  2. 2027-12-31pendingHumanoid robot commercial deployments <10K units cumulative through 2027
    How: Cumulative commercial humanoid deployments (Figure, Tesla Optimus, Agility, Apptronik, Unitree, 1X) <10,000 units through 2027
    Source: Humanoids Daily, BCG humanoid tracker, company filingsconf 55%
    Notes: Tests vs digital-AI users (LLMs at 100s of millions). Physical-tech ratio is dramatic.
  3. 2026-12-31 → 2028-12-31pendingConstruction productivity index continues 0-1% YoY (vs digital-AI productivity gains)
    How: BLS construction productivity / McKinsey labor-productivity-by-sector reports show <2% YoY in physical sectors vs >5% in info/services
    Source: BLS, McKinsey Global Institute productivity reportsconf 85%
    Notes: Empirical signature of physical-vs-digital adoption-rate gap.

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: 53%)

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
LBP2026-05-03T02:00:01Z52.9%-1.1pp
Network propagation: 54.0% → 52.9%
6-iter LBP, residual 0.00677 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run 1a683ac9
LBP2026-04-30T16:39:51Z54.0%-2.1pp
Network propagation: 56.0% → 54.0%
5-iter LBP, residual 0.00825 · damping 0.5, w_intrinsic 0.5 · method lbp_v2 · run 0c8a4ea3
LBP2026-04-30T02:18:57Z56.0%-4.0pp
Network propagation: 60.0% → 56.0%
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
killerTK14
Superbubble Pop (S&P 500 -40%, Moonshot Capital Evaporates)
20.0%0.0500.600-0.039
killerTK03
AI Regulatory Moratorium (EU/US Capability Freeze)
10.0%0.0500.600+0.016
killerTK01
AGI Capability Plateau (2026-27 Training Stall)
15.0%0.0500.600-0.011

Top outgoing (children)

Predictions THIS node influences

No outgoing edges.

Ticker exposure

33 ticker(s) linked

Beneficiaries (23)

SOUNCRWVSITMNVDAARMGTLBBBAITSMAPLDCEVAAIMSFTMRVLSFTBYORCLQCOMAVGOBABAAMDGOOGLIBMAMZNMETA

Adverse (6)

WNSCHGGCTSHIBMINFYACN

Prerequisites (3)

Predictions that must hit first
TypePredTitleDomainLag
killerTK14Superbubble Pop (S&P 500 -40%, Moonshot Capital Evaporates)
killerTK01AGI Capability Plateau (2026-27 Training Stall)
killerTK03AI Regulatory Moratorium (EU/US Capability Freeze)

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=Mh9yC4j0_rI",
  "mode": "THESIS",
  "role": "Guest-CEO",
  "context": "I I think that the onset of these technologies in the physical world always takes longer than the digital world.",
  "verbatim": "I think that the onset of these technologies in the physical world always takes longer than the digital world.",
  "conv_cues": "always takes longer",
  "direction": "HAPPEN",
  "timeframe": "Ongoing",
  "conv_level": "HIGH",
  "milestones": [
    {
      "kind": "llm_pre_event",
      "label": "Robotaxi commercial revenue per AV-mile lags ridehail by 5x+ in 2026",
      "source": "Waymo investor disclosures, Pony.ai 10-Q, Uber economics disclosures",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -3,
      "source_id": null,
      "confidence": 0.8,
      "expected_date": "2026-12-31",
      "research_origin": "training",
      "measurement_criterion": "Waymo + Pony.ai + Apollo Go combined revenue/mile <20% of human-driven Uber/Lyft baseline through 2026 — confirms physical-tech adoption lag"
    },
    {
      "kind": "llm_pre_event",
      "label": "Humanoid robot commercial deployments <10K units cumulative through 2027",
      "notes": "Tests vs digital-AI users (LLMs at 100s of millions). Physical-tech ratio is dramatic.",
      "source": "Humanoids Daily, BCG humanoid tracker, company filings",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -2,
      "source_id": null,
      "confidence": 0.55,
      "expected_date": "2027-12-31",
      "research_origin": "training",
      "measurement_criterion": "Cumulative commercial humanoid deployments (Figure, Tesla Optimus, Agility, Apptronik, Unitree, 1X) <10,000 units through 2027"
    },
    {
      "kind": "llm_post_event",
      "label": "Construction productivity index continues 0-1% YoY (vs digital-AI productivity gains)",
      "notes": "Empirical signature of physical-vs-digital adoption-rate gap.",
      "source": "BLS, McKinsey Global Institute productivity reports",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -1,
      "source_id": null,
      "confidence": 0.85,
      "expected_date": "2027-12-31",
      "research_origin": "training",
      "expected_date_range": {
        "to": "2028-12-31",
        "from": "2026-12-31"
      },
      "measurement_criterion": "BLS construction productivity / McKinsey labor-productivity-by-sector reports show <2% YoY in physical sectors vs >5% in info/services"
    }
  ],
  "repeat_eps": 1,
  "untimeable": true,
  "affiliation": "Uber",
  "attribution": "FIRST_PERSON",
  "episode_num": 244,
  "granularity": "VAGUE",
  "episode_date": "2026-04-02",
  "parse_method": "UNMAPPABLE",
  "domain_bucket": "Other",
  "episode_title": "Uber's Robotaxi Playbook, End of Human Driving & $10B Bet on Robots | Dara Khosrowshahi (Uber CEO)",
  "fault_line_id": "F001, F002, F003",
  "flag_repeated": false,
  "in_5yr_window": false,
  "appears_in_eps": "244",
  "is_macro_claim": false,
  "total_mentions": 1,
  "priority_weight": 4,
  "ps_cluster_tags": [
    "C2",
    "C3",
    "C5"
  ],
  "active_end_month": 0,
  "untimeable_reason": "philosophical principle about adoption speed",
  "active_start_month": 0,
  "flag_nia_bracketed": false,
  "track_record_grade": "B+",
  "track_record_notes": "Uber CEO; 'drivers increase not decrease' 2030 call is counterintuitive but has been accurate on Uber's trajectory 2017-2026.",
  "flag_near_term_2027": false,
  "flag_high_conviction": true,
  "milestones_phase2_at": "2026-05-02T03:20:39.372356+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": 0.5261
  },
  "validation_status_raw": "UNRESEARCHED",
  "composite_signal_score": 19.2,
  "scenario_assignment_at": "2026-04-30T16:13:32.763680+00:00",
  "flag_priority_watchlist": false,
  "flag