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234_002predictionAIAI-scaling

Within 6 months to 2 years, AI will do absolutely everything

Predictor: Dave Blundin · ep#234 "Anthropic vs. The Pentagon, Claude Outpaces ChatGPT, and Consulting Gets Replaced" · source

Prior probability
55.0%
Current probability
45.4%
evolves via intake + LBP
Conviction
3/5
Signal quality
B
Resolution
pending
Window
2026-01-01 – 2028-11-30
Edges in / out
11 / 5
Tickers exposed
37

Prediction text

Within 6 months to 2 years, AI will do absolutely everything | And so I think that talent pool is going to matter a lot in the kind of the one year, two-year, Alex would say 6 months uh between now and when AI does absolutely everything.

Verbatim quote

From episode "Anthropic vs. The Pentagon, Claude Outpaces ChatGPT, and Consulting Gets Replaced"
And so I think that talent pool is going to matter a lot in the kind of the one year, two-year, Alex would say 6 months uh between now and when AI does absolutely everything.

Resolution evidence

Status: pending

Dave's '6 months to 2 years for AI does everything' — extreme claim. Alex's '6 months' is hyperbolic. Most benchmarks (ARC-AGI, Humanity's Last Exam, Frontier Math) show rapid progress but not 'everything' yet as of April 2026.

Predictor: Dave Blundin

κ + Brier as of 2026-05-22
κ (discount)
0.821
Brier
0.0491
excellent
Hits / Misses
3 / 2
of 9 resolved
Hit rate
33.3%
Calibration plot (stated vs observed)

Evidence about this node from Dave Blundin 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 55%2026-04-302026-05-032026-05-10
intake v2milestone miss sweeplbp propagationreference class assignedlegacy v1prior_prob (analyst seed)current = 45.4%

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: 4 fired ✓ · 6 pending
  1. 2026-05-01 → 2027-06-30pendingFrontier model achieves >=50% on a credible multi-domain 'do everything' agent benchmark (METR HCAST, GAIA hard, OSWorld)
    How: Public benchmark leaderboard for agentic multi-domain tasks (browser, coding, research, scheduling, file ops) shows top model >=50% on hard split; current state-of-art ~30-40% as of early 2026
    Source: METR HCAST; OpenAI/Anthropic agent capability disclosuresconf 60%
  2. 2026-06-01 → 2027-12-31pendingAI agent autonomously completes a multi-week real-world commercial project end-to-end without human intervention beyond initial brief
    How: Verified case study (customer testimonial, SEC filing, or Anthropic/OpenAI economic impact paper) of agent completing a 10+ business-day project (e.g., software product, market research report, M&A analysis) where humans only review final output
    Source: G2 Enterprise AI Agents 2026 report; Deloitte State of AI 2026conf 55%
  3. 2026-12-01 → 2027-12-31pendingEnterprise AI agent production deployment crosses 50% of large enterprises (Fortune 1000)
    How: Independent industry research (Gartner, IDC, Deloitte) reports >=50% of Fortune 1000 have at least one AI agent in production; current rate 31% as of Q1 2026
    Source: DigitalApplied 'AI Agent Adoption 2026: 120+ Enterprise Data Points'conf 55%
  4. 2026-09-01 → 2028-06-30pendingAnthropic, OpenAI, or DeepMind publicly declares 'AGI achieved' or equivalent capability milestone
    How: Official corporate communication (blog, SEC filing, executive keynote) from a frontier lab claims AGI or human-level general capability has been reached on internal benchmarks; matches Amodei 2027 timeline and Altman 'superintelligence' framing
    Source: Amodei Davos 2026; Sam Altman superintelligence statements; AI 2027 forecastconf 40%
  5. 2027-01-01 → 2028-06-30pendingAnthropic revenue run-rate exceeds $50B annualized (consistent with $1T-by-2030 trajectory)
    How: Anthropic, in private investor communications referenced by The Information / Bloomberg / FT, reports ARR >=$50B; corroborates 'AI does everything' commercial absorption thesis
    Source: Episode 235 host statement 'Anthropic will hit $1T revenue by 2029-2030'conf 45%
  6. 2027-06-01 → 2029-06-30pendingBLS or Treasury attributes a measurable fraction (>0.5pp) of unemployment to AI displacement in official report
    How: Federal monthly Employment Situation report or Treasury macro outlook explicitly identifies AI/automation as primary driver of >=0.5pp of measured unemployment; matches BCG 'AI reshape >50% of US jobs in 2-3 yrs' thesis
    Source: BCG 'AI Will Reshape More Jobs Than It Replaces' 2026; Brookings AI labor displacementconf 40%

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: 45%)

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
LBP2026-05-10T02:00:02Z45.4%-1.1pp
Network propagation: 46.5% → 45.4%
6-iter LBP, residual 0.00584 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run e5c18d29
LBP2026-05-03T02:00:01Z46.5%-2.0pp
Network propagation: 48.5% → 46.5%
6-iter LBP, residual 0.00677 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run 1a683ac9
LBP2026-04-30T16:39:51Z48.5%-2.6pp
Network propagation: 51.2% → 48.5%
5-iter LBP, residual 0.00825 · damping 0.5, w_intrinsic 0.5 · method lbp_v2 · run 0c8a4ea3
LBP2026-04-30T02:18:57Z51.2%-3.8pp
Network propagation: 55.0% → 51.2%
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
killerTK09
Energy Grid Cap (Data Center Power Wall)
35.0%0.0500.550-0.079
prereqSEM_015
Nvidia agreed to remit 15% of China chip-sale revenue directJensen Huang
66.3%0.5500.050-0.068
prereqSEM_027
Nvidia Data Center revenue +66% YoY, contributing ~90% of $5Joseph Moore
68.3%0.5500.050-0.068
killerTK05
Rate Regime Persistence (10y > 5% through 2028)
30.0%0.0500.550-0.054
killerTK03
AI Regulatory Moratorium (EU/US Capability Freeze)
10.0%0.0500.550+0.046

Top outgoing (children)

Predictions THIS node influences

KindNodeTheir probP(c|s=T)P(c|s=F)Δ implied
prereq246_017
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37.7%0.6500.050-0.059
prereq247_035
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prereq246_016
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35.6%0.6500.050-0.038
prereq230_020
Peter's 14-year-old son Milan will never get a driver's licePeter Diamandis
34.7%0.6500.050-0.028
prereq240_036
TEPCO's restarted reactor will support 20% of Japan's electrPeter Diamandis
34.3%0.6500.050-0.024

Ticker exposure

37 ticker(s) linked

Beneficiaries (24)

MUWULFIRENEQIXALABAPLDASMIYASMLPLABNVDANBISCRWVAAPLAMTAMZNDELLGOOGLIRMLNVGYMETAMSFTORCLSFTBYSTX

Adverse (6)

ACNGENCHGGIBMWNSLRN

Prerequisites (11)

Predictions that must hit first
TypePredTitleDomainLag
prereqSEM_011Nvidia became the world's first $5 trillion company (late 2025), operating a near-monopoly on advanced AI chips.Capital Markets
prereqSEM_027Nvidia Data Center revenue +66% YoY, contributing ~90% of $57B fiscal Q3 revenue; >$4.5T market cap entirely underpinned by AI silicon.Capital Markets
prereqSEM_014Nvidia's Arizona-based TSMC factory successfully fabricated cutting-edge semiconductors on US soil for first time in decades (October 2025).Manufacturing
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_015Nvidia agreed to remit 15% of China chip-sale revenue directly to US government in exchange for reversing specific AI chip export bans.Policy/Semis
correlateS_ASI_MID_2034ASI mid: Schmidt 'ASI in 6 years'asi_recursive_self_improvement
killerTK09Energy Grid Cap (Data Center Power Wall)
killerTK05Rate Regime Persistence (10y > 5% through 2028)
killerTK01AGI Capability Plateau (2026-27 Training Stall)
killerTK02AI Compute Supply Shock (TSMC/Taiwan Disruption)
killerTK03AI Regulatory Moratorium (EU/US Capability Freeze)

Dependents (5)

Predictions enabled by this
TypePredTitleDomainLag
prereq247_035Dario Amodei will solve most/all neurological diseases by end of decadeBiotech/Longevity
prereq230_020Peter's 14-year-old son Milan will never get a driver's license.Auto/Transport
prereq246_017Europa Clipper will arrive at Jupiter in 2030, conducting 50 passes near Europa.Space
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

Raw metadata

From Thesis_Timeline_v1.0_FINAL workbook
{
  "nia": false,
  "qty": "6 months to 2 years",
  "url": "https://www.youtube.com/watch?v=dmtvGKuRE64",
  "mode": "PREDICTION",
  "role": "Host",
  "caveats": "Alex's estimate is 6 months",
  "context": "They have a very young, brilliant, agile, well-educated population. And so I think that talent pool is going to matter a lot in the kind of the one year, two-year, Alex would say 6 months uh between now and when AI does absolutely everything.",
  "to_year": 2028,
  "verbatim": "And so I think that talent pool is going to matter a lot in the kind of the one year, two-year, Alex would say 6 months uh between now and when AI does absolutely everything.",
  "conv_cues": "I think",
  "direction": "HAPPEN",
  "from_year": 2026,
  "timeframe": "2026-2028",
  "conv_level": "MEDIUM",
  "milestones": [
    {
      "kind": "prereq",
      "label": "Nvidia became the world's first $5 trillion company (late 2025), operating a near-monopoly on advanced AI chips.",
      "status": "hit",
      "weight": 0.5,
      "ordinal": -10,
      "source_id": "SEM_011",
      "expected_date": "2026-04-29",
      "observed_date": "2026-04-29"
    },
    {
      "kind": "prereq",
      "label": "Nvidia Data Center revenue +66% YoY, contributing ~90% of $57B fiscal Q3 revenue; >$4.5T market cap entirely underpinned by AI silicon.",
      "status": "hit",
      "weight": 0.5,
      "ordinal": -9,
      "source_id": "SEM_027",
      "expected_date": "2026-04-29",
      "observed_date": "2026-04-29"
    },
    {
      "kind": "prereq",
      "label": "Nvidia's Arizona-based TSMC factory successfully fabricated cutting-edge semiconductors on US soil for first time in decades (October 2025).",
      "status": "hit",
      "weight": 0.5,
      "ordinal": -8,
      "source_id": "SEM_014",
      "expected_date": "2026-04-29",
      "observed_date": "2026-04-29"
    },
    {
      "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": -7,
      "source_id": "SEM_012",
      "expected_date": "2026-04-29",
      "observed_date": "2026-04-29"
    },
    {
      "kind": "prereq",
      "label": "Nvidia agreed to remit 15% of China chip-sale revenue directly to US government in exchange for reversing specific AI chip export bans.",
      "status": "pending",
      "weight": 0.5,
      "ordinal": -6,
      "source_id": "SEM_015",
      "expected_date": "2026-06-25",
      "observed_date": null
    },
    {
      "kind": "llm_pre_event",
      "label": "Frontier model achieves >=50% on a credible multi-domain 'do everything' agent benchmark (METR HCAST, GAIA hard, OSWorld)",
      "source": "METR HCAST; OpenAI/Anthropic agent capability disclosures",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -5,
      "source_id": null,
      "confidence": 0.6,
      "expected_date": "2026-11-29",
      "research_origin": "deep_research",
      "expected_date_range": {
        "to": "2027-06-30",
        "from": "2026-05-01"
      },
      "measurement_criterion": "Public benchmark leaderboard for agentic multi-domain tasks (browser, coding, research, scheduling, file ops) shows top model >=50% on hard split; current state-of-art ~30-40% as of early 2026"
    },
    {
      "kind": "llm_pre_event",
      "label": "AI agent autonomously completes a multi-week real-world commercial project end-to-end without human intervention beyond initial brief",
      "source": "G2 Enterprise AI Agents 2026 report; Deloitte State of AI 2026",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -4,
      "source_id": null,
      "confidence": 0.55,
      "source_url": "https://learn.g2.com/enterprise-ai-agents-report",
      "expected_date": "2027-03-17",
      "research_origin": "deep_research",
      "expected_date_range": {
        "to": "2027-12-31",
        "from": "2026-06-01"
   
... (truncated)