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S_HUMANOID_FACTORY_2026scenariohumanoid_deployment

Humanoid R1: 10K+ factory units by Nov 2026

Prior probability
40.0%
Current probability
40.0%
evolves via intake + LBP
Conviction
Signal quality
Resolution
pending
Window
2026-04-30 – 2026-11-30
Edges in / out
0 / 38
Tickers exposed
0

Prediction text

First cumulative milestone. Figure 03 production ramp + Optimus Gen 3 demos + 1X NEO. Brett Adcock claims 100K production capacity Q4 2026.

Predictor calibration

Not assigned

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

Reference class: humanoid_commercial_volume

Linked

>10,000 unit cumulative deployment of humanoid robot SKU within 3 years of debut

Base rate
10.0%
0/3 historical
Inside weight
Outside weight
no pull

Tetlock-style outside view: at TRF=1 (just predicted), outside view dominates (w_in=0.3). At TRF=0 (deadline), inside view dominates (w_in=1.0). The blend regularizes overconfident inside views toward the historical base rate.

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: 40%)

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
prereq238_044
Mouse brain is 'next' for whole-brain emulation at Eon SysteAlex Wissner-Gross
31.7%0.5000.050-0.087
prereq239_014
Tesla will build out 10M sq ft Optimus factoryElon Musk
32.7%0.5500.050-0.077
prereqCOD_ROB_001
Figure sustains a one-robot-per-hour Figure 03 production ruCodex Research Pack
30.9%0.5500.050-0.059
prereqCOD_ROB_002
1X ships first paid NEO Early Access units to US homes in 20Codex Research Pack
31.3%0.6500.050-0.023

Prerequisites (0)

Predictions that must hit first
TypePredTitleDomainLag
No prerequisites

Dependents (38)

Predictions enabled by this
TypePredTitleDomainLag
prereqCOD_ROB_0021X ships first paid NEO Early Access units to US homes in 2026Robotics
prereqCOD_ROB_001Figure sustains a one-robot-per-hour Figure 03 production run-rate for at least 30 consecutive days by Q4 2026Robotics
prereq239_014Tesla will build out 10M sq ft Optimus factoryRobotics
prereq238_044Mouse brain is 'next' for whole-brain emulation at Eon SystemsBiotech/Longevity
correlateCMQ_053Figure AI secured $675M Series B in 2024 and partnered commercially with BMW — addressing skilled-labor shortages in automotive manufacturing.Robotics
correlateCYB_018Figure AI valuation has eclipsed $39 billion by early 2026 — surpassing SpaceX's 2020 valuation — backed by concentrated collective capital of the AI hardware-software industry (Microsoft, NVIDIA, OpenAI), signaling industry-wide belief that humanoid r...Robotics
correlate229_002Figure will scale out robots in industrial/commercial workforce in 2026 via its signed customers.Robotics
correlate229_001Figure will put robots on its own manufacturing lines (BotQ) this year to build robots.Robotics
correlateCMQ_050Physical embodied AI represents the 'Fourth Wave' of AI development — projected to scale rapidly and commercially between 2025-2030.Robotics
correlate247_0451X Neo humanoid robot will be delivered this summer 2026Robotics
correlate229_005The global humanoid robotics industry will consolidate to far fewer than 10 players.Robotics
correlate230_021Figure and Tesla will make millions, then billions of robots.Robotics
correlateCOD_ROB_003At least two humanoid vendors exceed 1,000 cumulative deployed robots by end 2027Robotics
correlate229_017Long term, robot cost will fall to $10,000-$20,000 per unit.Robotics
correlate238_015Brent Bornick/1X to ship Peter a humanoid robot this summer (2026)Robotics
correlate239_011Optimus 3 production starts summer 2026Robotics
correlate229_046Current Figure robots have 3-5x headroom in speed via existing actuators once software enables it.Robotics
correlate229_016Figure will scale manufacturing from thousands to tens of thousands to hundreds of thousands to millions of robots per year.Robotics
correlate229_014Figure will be able to make millions of robots via BotQ and future BotQ expansion.Robotics
correlate229_023First Figure robot in a customer's home expected 2027-2029 timeframe.Robotics
correlate247_043Humanoid robots will be utterly transformative for 2/3 of US services sectorRobotics
correlate229_034Robot production cadence target: one robot every ~30 minutes in the near term.Robotics
correlate236_021Optimus/humanoid robots to do trades work in 3 to 8 years (Elon's vision)Robotics
correlate229_010Eventually there will be tens of billions of humanoids on planet Earth—one per human plus 5-10B in commercial workforce.Robotics
correlate229_011The humanoid robotics market/economy will be roughly $50 trillion—roughly half of global GDP of human labor.Markets/Stocks
correlate229_030If Figure solved a general-purpose humanoid today, they could ship a billion robots today (demand exists).Robotics
correlate239_013Tesla will release an improved Optimus design every yearRobotics
correlate239_012Optimus reaches high volume production by summer 2027Robotics
correlateROB_008Humanoid robotics market will reach $5 trillion by 2050 (excluding massive secondary supply chains for repair/maintenance/support). Nearly 1 billion humanoid robots operating globally by 2050, 90% used for industrial/commercial purposes vs domestic — m...Robotics
correlate230_007Lobsters (agentic AIs) will ultimately gain first-class physical embodiment as robots.Robotics
correlateSEM_041At least 100,000 personal AI robots will be preordered in 2025 (driven by speech/vision/dexterity advances).Robotics
correlateINF_025Figure AI targets deployment of 100,000 general-purpose humanoid robots by 2029, networked to a centralized 'universal brain' capable of controlling any robot body on Earth — requiring continuous high-bandwidth DC-to-edge data streams.Robotics
correlateCMQ_051Humanoid robots total addressable market by 2040: lower bound 1 billion units (exceeding cars on Earth); upper bound 10+ billion units.Robotics
correlateAI_030By 2035, synthetic humanoid workers will physically outnumber human employees in corporate workplaces — completing the transition from partial-automation co-deployment to majority-synthetic corporate workforces.Robotics
correlate230_022Elon plans to produce tens of millions of robots per year in just a few years.Robotics
correlateROB_009External sales of Tesla Optimus will commence in 2026 at approximately $30,000 retail price — a $30K capital expenditure for a 24/7-capable machine represents a 36-week payback period vs the lowest US minimum wage; fundamentally alters the mathematics ...Robotics
correlateCMQ_054Humanoid physical automation (Optimus + Figure + competitors) will usher in a 'future of abundance', theoretically eliminating poverty by collapsing cost of physical goods and services.Macro/Economy
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

Raw metadata

From Thesis_Timeline_v1.0_FINAL workbook
{
  "phase": "robotics_phase_r1",
  "fork_key": "humanoid",
  "dimension": "humanoid_deployment",
  "family_type": "cumulative",
  "family_label": "Humanoid deployment",
  "family_order": 1,
  "predictor_profile": [
    "Brett Adcock",
    "Tesla",
    "Figure",
    "1X"
  ],
  "cumulative_milestone": true
}