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244_034predictionOtherAI-timing

Companies get more conservative as they grow, but should do opposite

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

Companies get more conservative as they grow, but should do opposite | companies tend to get more conservative as they get bigger and the exact opposite should be true because you can take big bets at large scale and you can be just don't work out.

Verbatim quote

From episode "Uber's Robotaxi Playbook, End of Human Driving & $10B Bet on Robots | Dara Khosrowshahi (Uber CEO)"
companies tend to get more conservative as they get bigger and the exact opposite should be true because you can take big bets at large scale and you can be just don't work out.

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. 2027-02-28pendingUber R&D / new-bet capex in 2026 ≥10% of revenue (Khosrowshahi practicing what he preaches)
    How: Uber 10-K shows R&D + new-bets capex ≥10% of revenue in 2026 — operationalizes Khosrowshahi's claim that big companies should take bigger bets
    Source: Uber 10-K (2026), investor communicationsconf 55%
  2. 2026-05-01 → 2027-12-31pendingBain/PwC innovation-readiness survey shows large-company innovation gap persists
    How: Bain Innovation Index or PwC Innovation Benchmark shows large-cap (>$10B revenue) firms scoring ≥20pp lower on radical-innovation than mid-cap firms
    Source: Bain Innovation Benchmark, PwC Annual Innovation Survey, BCG Most Innovative Companiesconf 65%
  3. 2026-12-31 → 2027-06-30pendingMega-cap (>$100B) capex on AI infrastructure ≥2x small-cap proportion 2026
    How: Mega-cap (top-10 by market cap) AI capex as % of revenue ≥2x median Russell 2000 in same fiscal year — countervailing evidence to 'big = conservative' narrative
    Source: 10-K capex disclosures, Bloomberg AI capex trackerconf 75%
    Notes: Counter-intuitive: in 2026, biggest companies (Meta, Google, Microsoft, Amazon) ARE making the biggest AI bets. Tests Khosrowshahi's claim.

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": "companies tend to get more conservative as they get bigger and the exact opposite should be true because you can take big bets at large scale and you can be just don't work out.",
  "verbatim": "companies tend to get more conservative as they get bigger and the exact opposite should be true because you can take big bets at large scale and you can be just don't work out.",
  "conv_cues": "tend to; should be true",
  "direction": "HAPPEN",
  "timeframe": "Ongoing",
  "conv_level": "HIGH",
  "milestones": [
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      "kind": "llm_post_event",
      "label": "Uber R&D / new-bet capex in 2026 ≥10% of revenue (Khosrowshahi practicing what he preaches)",
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      "status": "pending",
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    },
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      "kind": "llm_pre_event",
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      "status": "pending",
      "weight": 0.4,
      "ordinal": -2,
      "source_id": null,
      "confidence": 0.65,
      "expected_date": "2027-03-01",
      "research_origin": "training",
      "expected_date_range": {
        "to": "2027-12-31",
        "from": "2026-05-01"
      },
      "measurement_criterion": "Bain Innovation Index or PwC Innovation Benchmark shows large-cap (>$10B revenue) firms scoring ≥20pp lower on radical-innovation than mid-cap firms"
    },
    {
      "kind": "llm_pre_event",
      "label": "Mega-cap (>$100B) capex on AI infrastructure ≥2x small-cap proportion 2026",
      "notes": "Counter-intuitive: in 2026, biggest companies (Meta, Google, Microsoft, Amazon) ARE making the biggest AI bets. Tests Khosrowshahi's claim.",
      "source": "10-K capex disclosures, Bloomberg AI capex tracker",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -1,
      "source_id": null,
      "confidence": 0.75,
      "expected_date": "2027-03-31",
      "research_origin": "training",
      "expected_date_range": {
        "to": "2027-06-30",
        "from": "2026-12-31"
      },
      "measurement_criterion": "Mega-cap (top-10 by market cap) AI capex as % of revenue ≥2x median Russell 2000 in same fiscal year — countervailing evidence to 'big = conservative' narrative"
    }
  ],
  "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 observation about companies",
  "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": "2026-05-02T03:20:39.376582+00:00",
  "reference_class_match": {
    "decision": "keyword_filtered",
    "computed_at": "2026-04-30T01:49:13.796883+00:00",
    "bes