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244_037predictionLabor/JobsAI-timing

Uber will automate 20-30% of tasks, not 100%, leaving plenty of work

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
50.8%
evolves via intake + LBP
Conviction
4/5
Signal quality
C
Resolution
pending
Window
2026-06-01 – 2026-06-30
Edges in / out
8 / 5
Tickers exposed
33

Prediction text

Uber will automate 20-30% of tasks, not 100%, leaving plenty of work | we're looking to automate tasks, etc. But usually we don't get to that 100 percent automation. We'll automate 20%, we'll automate 30% and there's plenty of work to do

Verbatim quote

From episode "Uber's Robotaxi Playbook, End of Human Driving & $10B Bet on Robots | Dara Khosrowshahi (Uber CEO)"
we're looking to automate tasks, etc. But usually we don't get to that 100 percent automation. We'll automate 20%, we'll automate 30% and there's plenty of work to do

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

4 prob_history rows
0%25%50%75%100%prior 60%2026-04-302026-05-032026-05-10
intake v2milestone miss sweeplbp propagationreference class assignedlegacy v1prior_prob (analyst seed)current = 50.8%

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: 7 fired ✓
  1. 2026-02-25hit90% of Uber engineers using AI in daily workflows
    How: Khosrowshahi or Uber publicly discloses >=80% of engineers using AI tools daily (validating partial automation reality, not 100%)
    Source: https://dataconomy.com/2026/02/25/dara-khosrowshahi-90-of-uber-engineers-now-use-ai-in-daily-workflows/conf 99%
    Notes: HIT — 90% adoption with 30% power users, but engineers still employed (augmentation not replacement).
  2. 2026-04-30hitKhosrowshahi or peer CEO concedes AI replaces majority of jobs (10y horizon)
    How: Public CEO statement that AI will replace 70-80% of human work over 10y, framing automation more aggressively than 20-30% per-task framing
    Source: https://moneywise.com/news/top-stories/dara-khosrowshahi-uber-ceo-says-execs-are-lying-about-aiconf 95%
    Notes: HIT (mixed) — Khosrowshahi himself says 70-80% replacement over 10y; the 20-30% claim refers to current per-task automation, not long-term workforce.
  3. 2026-06-01 → 2026-12-31pendingUber driver count grows YoY despite robotaxi/AV pilots
    How: Uber discloses YoY active driver count growth in earnings or sustainability report, supporting Khosrowshahi's '20-30% automation, plenty of work' framing
    Source: Uber Q2/Q3 2026 earnings call, sustainability reportconf 70%
  4. 2026-04-01 → 2027-04-30pendingUber per-employee revenue grows >=20% YoY
    How: Uber 2026 financials show revenue per employee growth >=20% YoY, evidencing automation-driven productivity uplift on retained workforce
    Source: Uber 10-K, productivity per employee analysisconf 65%
  5. 2026-06-01 → 2027-06-30pendingUber announces dedicated AI-augmented support roles (vs eliminating)
    How: Uber announces hiring program for AI-augmented roles (driver experience, partner ops, safety) demonstrating 'plenty of work' framing in practice
    Source: Uber careers page, press releasesconf 55%
  6. 2027-02-28pendingUber 2026 headcount remains within +/-10% of 2025 baseline
    How: Uber 2026 10-K shows global employee count within -10% to +10% of 2025 ending headcount, evidencing 'plenty of work' framing not radical layoffs
    Source: Uber 10-K SEC filing 2026conf 65%
  7. 2036-09-06pendingMoon base will exist in 10 years

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: 51%)

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
LBP2026-05-10T02:00:02Z50.8%-1.2pp
Network propagation: 51.9% → 50.8%
6-iter LBP, residual 0.00584 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run e5c18d29
LBP2026-05-03T02:00:01Z51.9%-1.8pp
Network propagation: 53.7% → 51.9%
6-iter LBP, residual 0.00677 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run 1a683ac9
LBP2026-04-30T16:39:51Z53.7%-2.5pp
Network propagation: 56.2% → 53.7%
5-iter LBP, residual 0.00825 · damping 0.5, w_intrinsic 0.5 · method lbp_v2 · run 0c8a4ea3
LBP2026-04-30T02:18:57Z56.2%-3.8pp
Network propagation: 60.0% → 56.2%
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
prereqSEM_042
2025 will be the definitive year that agentic systems finallKevin Weil
73.8%0.6000.050-0.057
prereq235_038
David Sinclair begins partial epigenetic reprogramming trialPeter Diamandis
74.0%0.6000.050-0.055
prereqSEM_012
Nvidia quadrupled chip production output while only doublingJensen Huang
75.0%0.6000.050-0.049
prereqSEM_008
Training runs costing $10 billion for a single model will coDario Amodei
76.9%0.6000.050-0.039
killerTK03
AI Regulatory Moratorium (EU/US Capability Freeze)
10.0%0.0500.600+0.037

Top outgoing (children)

Predictions THIS node influences

KindNodeTheir probP(c|s=T)P(c|s=F)Δ implied
prereqSEM_034
True artificial general intelligence will be achieved betweeDemis Hassabis
28.7%0.5500.050+0.013
prereq239_008
Moon base will exist in 10 yearsElon Musk
28.8%0.5500.050+0.012
prereq235_030
Ray Kurzweil predicts Longevity Escape Velocity (LEV) by 203Ray Kurzweil
39.2%0.7500.050+0.008
prereq240_036
TEPCO's restarted reactor will support 20% of Japan's electrPeter Diamandis
34.3%0.6500.050+0.008
prereq246_016
Dragonfly nuclear-powered octicopter arrives at Titan in 203Peter Diamandis
35.6%0.6500.050-0.006

Ticker exposure

33 ticker(s) linked

Beneficiaries (23)

SOUNCRWVSITMNVDAARMGTLBBBAITSMAPLDCEVAAIMSFTMRVLSFTBYORCLQCOMAVGOBABAAMDGOOGLIBMAMZNMETA

Adverse (6)

WNSCHGGCTSHIBMINFYACN

Prerequisites (8)

Predictions that must hit first
TypePredTitleDomainLag
prereq238_009Recursive self-improvement is already happening now (no longer three years out)AI
prereq235_038David Sinclair begins partial epigenetic reprogramming trials with Life Biosciences in March 2026.Biotech/Longevity
prereqSEM_008Training runs costing $10 billion for a single model will commence sometime in 2025.AI
prereqSEM_012Nvidia quadrupled chip production output while only doubling human headcount — achieved by deploying AI coding tools (Cursor, Claude Code) across engineering.AI/Manufacturing
prereqSEM_0422025 will be the definitive year that agentic systems finally hit the mainstream.AI/Agents
killerTK14Superbubble Pop (S&P 500 -40%, Moonshot Capital Evaporates)
killerTK01AGI Capability Plateau (2026-27 Training Stall)
killerTK03AI Regulatory Moratorium (EU/US Capability Freeze)

Dependents (5)

Predictions enabled by this
TypePredTitleDomainLag
prereq235_030Ray Kurzweil predicts Longevity Escape Velocity (LEV) by 2033.Biotech/Longevity
prereq246_016Dragonfly nuclear-powered octicopter arrives at Titan in 2034.Space
prereq240_036TEPCO's restarted reactor will support 20% of Japan's electric needs by 2040Energy
prereqSEM_034True artificial general intelligence will be achieved between 2032 and 2042 — 'first we solve AI, then use AI to solve everything else'.AI/AGI
prereq239_008Moon base will exist in 10 yearsSpace

Raw metadata

From Thesis_Timeline_v1.0_FINAL workbook
{
  "nia": false,
  "qty": "20-30% automation, not 100%",
  "url": "https://www.youtube.com/watch?v=Mh9yC4j0_rI",
  "mode": "FORECAST",
  "role": "Guest-CEO",
  "context": "we see the same thing in terms of AI at the office as well. Just like any other company, we're looking to automate tasks, etc. But usually we don't get to that 100 percent automation. We'll automate 20%, we'll automate 30% and there's plenty of work to do",
  "to_year": 2026,
  "verbatim": "we're looking to automate tasks, etc. But usually we don't get to that 100 percent automation. We'll automate 20%, we'll automate 30% and there's plenty of work to do",
  "conv_cues": "usually; we'll automate",
  "direction": "NUMERIC_TARGET",
  "from_year": 2026,
  "timeframe": "Near term",
  "conv_level": "HIGH",
  "milestones": [
    {
      "kind": "llm_pre_event",
      "label": "90% of Uber engineers using AI in daily workflows",
      "notes": "HIT — 90% adoption with 30% power users, but engineers still employed (augmentation not replacement).",
      "source": "https://dataconomy.com/2026/02/25/dara-khosrowshahi-90-of-uber-engineers-now-use-ai-in-daily-workflows/",
      "status": "hit",
      "weight": 0.4,
      "ordinal": -7,
      "source_id": null,
      "confidence": 0.99,
      "source_url": "https://dataconomy.com/2026/02/25/dara-khosrowshahi-90-of-uber-engineers-now-use-ai-in-daily-workflows/",
      "expected_date": "2026-02-25",
      "observed_date": "2026-02-25",
      "research_origin": "deep_research",
      "measurement_criterion": "Khosrowshahi or Uber publicly discloses >=80% of engineers using AI tools daily (validating partial automation reality, not 100%)"
    },
    {
      "kind": "prereq",
      "label": "Nvidia quadrupled chip production output while only doubling human headcount — achieved by deploying AI coding tools (Cursor, Claude Code) a",
      "status": "hit",
      "weight": 0.5,
      "ordinal": -6,
      "source_id": "SEM_012",
      "expected_date": "2026-04-29",
      "observed_date": "2026-04-29"
    },
    {
      "kind": "prereq",
      "label": "Training runs costing $10 billion for a single model will commence sometime in 2025.",
      "status": "hit",
      "weight": 0.5,
      "ordinal": -5,
      "source_id": "SEM_008",
      "expected_date": "2026-04-29",
      "observed_date": "2026-04-29"
    },
    {
      "kind": "prereq",
      "label": "2025 will be the definitive year that agentic systems finally hit the mainstream.",
      "status": "hit",
      "weight": 0.5,
      "ordinal": -4,
      "source_id": "SEM_042",
      "expected_date": "2026-04-29",
      "observed_date": "2026-04-29"
    },
    {
      "kind": "prereq",
      "label": "Recursive self-improvement is already happening now (no longer three years out)",
      "status": "hit",
      "weight": 0.5,
      "ordinal": -3,
      "source_id": "238_009",
      "expected_date": "2026-04-29",
      "observed_date": "2026-04-29"
    },
    {
      "kind": "prereq",
      "label": "David Sinclair begins partial epigenetic reprogramming trials with Life Biosciences in March 2026.",
      "status": "hit",
      "weight": 0.5,
      "ordinal": -2,
      "source_id": "235_038",
      "expected_date": "2026-04-29",
      "observed_date": "2026-04-29"
    },
    {
      "kind": "llm_pre_event",
      "label": "Khosrowshahi or peer CEO concedes AI replaces majority of jobs (10y horizon)",
      "notes": "HIT (mixed) — Khosrowshahi himself says 70-80% replacement over 10y; the 20-30% claim refers to current per-task automation, not long-term workforce.",
      "source": "https://moneywise.com/news/top-stories/dara-khosrowshahi-uber-ceo-says-execs-are-lying-about-ai",
      "status": "hit",
      "weight": 0.4,
      "ordinal": -1,
      "source_id": null,
      "confidence": 0.95,
      "source_url": "https://moneywise.com/news/top-stories/dara-khosrowshahi-uber-ceo-says-execs-are-lying-about-ai",
      "expected_date": "2026-04-30",
      "observed_date": "2026-04-30
... (truncated)