241_002predictionRoboticshumanoids

Robots will take longer than digital/software systems to have impact

Predictor: Eric Schmidt · ep#241 "Eric Schmidt on the Robotics Race, Singularity Timeline, and Energy Shortage" · source

Prior probability

60.0%

Current probability

30.9%

evolves via intake + LBP

Conviction

4/5

Signal quality

Resolution

pending

Window

2026-04-30 – 2030-11-30

Edges in / out

2 / 0

Tickers exposed

Prediction text

Robots will take longer than digital/software systems to have impact | hardware takes longer than software. So that robots take longer than digital systems on traditional hardware

Verbatim quote

From episode "Eric Schmidt on the Robotics Race, Singularity Timeline, and Energy Shortage"

hardware takes longer than software. So that robots take longer than digital systems on traditional hardware

Predictor: Eric Schmidt

κ + Brier as of 2026-05-22

Full calibration →

κ (discount)

0.688

Brier

0.0064

excellent

Hits / Misses

3 / 0

of 3 resolved

Hit rate

100.0%

Calibration plot (stated vs observed)

Evidence about this node from Eric Schmidt 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

6 prob_history rows

intake v2milestone miss sweeplbp propagationreference class assignedlegacy v1prior_prob (analyst seed)current = 30.9%

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: 7 pending

2027-02-28pendingQ1 window check-in (25%)
2027-12-29pendingQ2 window check-in (50%)
2027-12-31pendingCumulative humanoid robot units deployed in commercial settings exceeds 50,000
How: Combined Tesla Optimus + Figure + Apptronik + Agility + 1X delivery count exceeds 50,000 commercial units; verified by company press releases / 10-Ks. Figure BotQ targets 12K/year alone
Source: Apptronik + Figure + Tesla 2026-2027 production targetsconf 50%
2027-12-31pendingTesla Optimus achieves stated 'high-volume' production
How: Tesla 10-Q discloses Optimus production at >=10,000 units/quarter run rate; Gen 3 in mass production with low-volume in summer 2026 ramp
Source: Tesla Optimus Gen 3 timeline (AI CERTs 2026)conf 40%
2028-06-30pendingAI software market growth (~20% CAGR) sustains 3+ years while humanoid market remains <$10B
How: Gartner AI software annual >=$200B by 2027 vs MarketsandMarkets / ABI humanoid-robotics market <$10B in 2027 — confirms hardware-lags-software thesis
Source: Schmidt hardware-lags-software thesis + Gartner AI software forecastsconf 75%
2028-10-28pendingQ3 window check-in (75%)
2028-12-31pendingIndustrial humanoid robot ROI parity reached for first major use-case
How: Public case study from Mercedes-Benz, GXO Logistics, BMW, or Amazon shows humanoid robot achieves <2-year payback vs human labor for repetitive task; published in WSJ/Reuters/Bloomberg
Source: Apptronik Mercedes/GXO partnerships + sub-$50K Apollo targetconf 55%
2029-08-28pendingRobots will take longer than digital/software systems to have impact
2029-08-28pendingRobots-lag-software validated by 2029
How: By Aug 2029, AI software market is >5x humanoid robotics market by revenue (Gartner $300B+ vs <$60B humanoid); cumulative software AI economic impact >5x cumulative humanoid economic impact
Source: Schmidt hardware-software lag quoteconf 70%

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: 31%)

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

LBP2026-05-24T02:00:02Z30.9%-1.2pp

Network propagation: 32.1% → 30.9%

4-iter LBP, residual 0.01000 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run 806b02f8

LBP2026-05-17T02:00:01Z32.1%-2.5pp

Network propagation: 34.6% → 32.1%

5-iter LBP, residual 0.00689 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run e607fa96

LBP2026-05-10T02:00:02Z34.6%-5.4pp

Network propagation: 40.0% → 34.6%

6-iter LBP, residual 0.00584 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run e5c18d29

LBP2026-05-03T02:00:01Z40.0%-11.1pp

Network propagation: 51.2% → 40.0%

6-iter LBP, residual 0.00677 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run 1a683ac9

LBP2026-04-30T16:39:51Z51.2%-3.0pp

Network propagation: 54.2% → 51.2%

5-iter LBP, residual 0.00825 · damping 0.5, w_intrinsic 0.5 · method lbp_v2 · run 0c8a4ea3

LBP2026-04-30T02:18:57Z54.2%-5.8pp

Network propagation: 60.0% → 54.2%

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

Kind	Node	Their prob	P(c\|s=T)	P(c\|s=F)	Δ implied
killer	TK08 Humanoid Capital Collapse (Figure/Apptronik Flop)	22.0%	0.050	0.600	+0.170
prereq	S_HUMANOID_CONSUMER_2030 Humanoid R3: 1M+ consumer by Nov 2030	20.0%	0.600	0.050	-0.149

Top outgoing (children)

Predictions THIS node influences

No outgoing edges.

Ticker exposure

29 ticker(s) linked

Beneficiaries (24)

LYSCF SERV FANUY MP NVDA HSEHY RNSHF ALNT CGNX IRBT USAR SYM MIELY AMZN BYDDY HYMTF IFNNY ABBNY PH STM TEL TER TSLA TXN

Adverse (5)

RHI MAN KELYA KFY TNET

Prerequisites (2)

Predictions that must hit first

Type	Pred	Title	Domain	Lag
prereq	S_HUMANOID_CONSUMER_2030	Humanoid R3: 1M+ consumer by Nov 2030	humanoid_deployment	—
killer	TK08	Humanoid Capital Collapse (Figure/Apptronik Flop)	—	—

Dependents (0)

Predictions enabled by this

Type	Pred	Title	Domain	Lag
No dependents

Raw metadata

From Thesis_Timeline_v1.0_FINAL workbook

{
  "nia": false,
  "url": "https://www.youtube.com/watch?v=DpwmmXmzvfo",
  "mode": "THESIS",
  "role": "Guest-CEO",
  "context": "hardware takes longer than software. So that robots take longer than digital systems on traditional hardware",
  "verbatim": "hardware takes longer than software. So that robots take longer than digital systems on traditional hardware",
  "direction": "MIXED",
  "timeframe": "general/long-term",
  "conv_level": "HIGH",
  "milestones": [
    {
      "kind": "quartile_checkpoint",
      "label": "Q1 window check-in (25%)",
      "status": "pending",
      "weight": 0.05,
      "ordinal": -7,
      "source_id": null,
      "expected_date": "2027-02-28",
      "observed_date": null
    },
    {
      "kind": "quartile_checkpoint",
      "label": "Q2 window check-in (50%)",
      "status": "pending",
      "weight": 0.05,
      "ordinal": -6,
      "source_id": null,
      "expected_date": "2027-12-29",
      "observed_date": null
    },
    {
      "kind": "llm_pre_event",
      "label": "Cumulative humanoid robot units deployed in commercial settings exceeds 50,000",
      "source": "Apptronik + Figure + Tesla 2026-2027 production targets",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -5,
      "source_id": null,
      "confidence": 0.5,
      "source_url": "https://www.cnbc.com/2026/02/11/apptronik-raises-520-million-at-5-billion-valuation-for-apollo-robot.html",
      "expected_date": "2027-12-31",
      "research_origin": "deep_research",
      "measurement_criterion": "Combined Tesla Optimus + Figure + Apptronik + Agility + 1X delivery count exceeds 50,000 commercial units; verified by company press releases / 10-Ks. Figure BotQ targets 12K/year alone"
    },
    {
      "kind": "llm_pre_event",
      "label": "Tesla Optimus achieves stated 'high-volume' production",
      "source": "Tesla Optimus Gen 3 timeline (AI CERTs 2026)",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -4,
      "source_id": null,
      "confidence": 0.4,
      "source_url": "https://www.aicerts.ai/news/tesla-optimus-gen-3-spurs-humanoid-robotics-development-leap/",
      "expected_date": "2027-12-31",
      "research_origin": "deep_research",
      "measurement_criterion": "Tesla 10-Q discloses Optimus production at >=10,000 units/quarter run rate; Gen 3 in mass production with low-volume in summer 2026 ramp"
    },
    {
      "kind": "llm_pre_event",
      "label": "AI software market growth (~20% CAGR) sustains 3+ years while humanoid market remains <$10B",
      "source": "Schmidt hardware-lags-software thesis + Gartner AI software forecasts",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -3,
      "source_id": null,
      "confidence": 0.75,
      "source_url": "https://www.gartner.com/en/newsroom/press-releases/2025-10-21-gartner-unveils-top-predictions-for-it-organizations-and-users-in-2026-and-beyond",
      "expected_date": "2028-06-30",
      "research_origin": "deep_research",
      "measurement_criterion": "Gartner AI software annual >=$200B by 2027 vs MarketsandMarkets / ABI humanoid-robotics market <$10B in 2027 — confirms hardware-lags-software thesis"
    },
    {
      "kind": "quartile_checkpoint",
      "label": "Q3 window check-in (75%)",
      "status": "pending",
      "weight": 0.05,
      "ordinal": -2,
      "source_id": null,
      "expected_date": "2028-10-28",
      "observed_date": null
    },
    {
      "kind": "llm_pre_event",
      "label": "Industrial humanoid robot ROI parity reached for first major use-case",
      "source": "Apptronik Mercedes/GXO partnerships + sub-$50K Apollo target",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -1,
      "source_id": null,
      "confidence": 0.55,
      "source_url": "https://botinfo.ai/articles/apptronik-apollo",
      "expected_date": "2028-12-31",
      "research_origin": "deep_research",
      "measurement_criterion": "Public case study from Mercedes-Benz, GXO Logistics
... (truncated)