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235_013predictionMarkets/StocksAI-scaling

Disruption cycle time will shrink from every 10 years to every 10 weeks to every 10 days.

Predictor: Dave Blundin · ep#235 "Amazon's $35B AGI Ultimatum to OpenAI & Anthropic Drops AI Safety | EP #235" · source

Prior probability
60.0%
Current probability
49.5%
evolves via intake + LBP
Conviction
4/5
Signal quality
B
Resolution
pending
Window
2028-06-01 – 2028-06-30
Edges in / out
10 / 5
Tickers exposed
37

Prediction text

Disruption cycle time will shrink from every 10 years to every 10 weeks to every 10 days. | The innovator's dilemma contemplates hey every 10 years something truly disruptive is going to obliterate whatever you do and here's how you should react to it in that moment but now instead of every 10 years it's going to be every 10 months and then soon it'll be every 10 weeks and then you know it'll be every 10 days pretty soon too

Verbatim quote

From episode "Amazon's $35B AGI Ultimatum to OpenAI & Anthropic Drops AI Safety | EP #235"
The innovator's dilemma contemplates hey every 10 years something truly disruptive is going to obliterate whatever you do and here's how you should react to it in that moment but now instead of every 10 years it's going to be every 10 months and then soon it'll be every 10 weeks and then you know it'll be every 10 days pretty soon too

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 60%2026-04-302026-05-032026-05-10
intake v2milestone miss sweeplbp propagationreference class assignedlegacy v1prior_prob (analyst seed)current = 49.5%

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: 6 fired ✓ · 4 pending
  1. 2026-02-28hitBlock (Square) CEO halves headcount 10K to <6K in single announcement citing AI
    How: Single Fortune 1000 CEO announcement reduces headcount by ≥40% citing AI capability shift
    Source: https://tech-insider.org/tech-layoffs-2026-ai-workforce-impact/ — Block Feb 2026conf 95%
    Notes: HIT — Dorsey explicitly: 'intelligence tools have changed what it means to build and run a company.' Disruption arriving in weeks, not years.
  2. 2026-03-31hitTech industry layoffs ~80,000 in Q1 2026 — 50% AI-attributed — disruption rolling through monthly
    How: Single quarter (Q1 2026) tech layoffs reach ~80,000 with ~50% explicitly AI-attributed
    Source: https://www.tomshardware.com/tech-industry/tech-industry-lays-off-nearly-80-000-employees-in-the-first-quarter-of-2026-almost-50-percent-of-affected-positions-cut-due-to-aiconf 90%
    Notes: HIT — quarterly disruption cycle now visible. From 10-year cycle to ~quarterly cycle is consistent with Blundin trajectory.
  3. 2026-01-01 → 2026-12-31pendingFoundation model release cadence: ≥3 frontier model releases per quarter (cycle <90 days)
    How: Frontier model releases (GPT, Claude, Gemini, Grok, Llama, DeepSeek, Qwen) total ≥12 in calendar 2026 — quarterly disruption tempo
    Source: Anthropic, OpenAI, Google DeepMind, Meta release announcementsconf 85%
    Notes: Frontier model release cycle is the most direct proxy for Blundin's '10 weeks → 10 days' framing.
  4. 2026-01-01 → 2026-12-31pendingSingle-week tech-sector market cap swings ≥$500B become routine (≥4 occurrences in calendar year)
    How: Bloomberg / S&P data shows ≥4 separate weeks in 2026 where tech-sector aggregate market cap moves ≥$500B in 5 days on AI catalysts
    Source: S&P 500 Information Technology sector data, Bloomberg Tech Indexconf 70%
  5. 2026-06-01 → 2027-12-31pendingAverage startup time-to-$1M-ARR drops below 6 months (vs 30+ months historical)
    How: ChartMogul / SaaStr data shows median AI-native startup reaching $1M ARR in <6 months
    Source: ChartMogul, SaaStr, Stripe Atlas dataconf 55%
    Notes: Cascade — Blundin connection is that disruption cycle compression equals startup velocity.

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: 50%)

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
LBP2026-05-10T02:00:02Z49.5%-1.2pp
Network propagation: 50.7% → 49.5%
6-iter LBP, residual 0.00584 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run e5c18d29
LBP2026-05-03T02:00:01Z50.7%-2.2pp
Network propagation: 52.9% → 50.7%
6-iter LBP, residual 0.00677 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run 1a683ac9
LBP2026-04-30T16:39:51Z52.9%-2.9pp
Network propagation: 55.8% → 52.9%
5-iter LBP, residual 0.00825 · damping 0.5, w_intrinsic 0.5 · method lbp_v2 · run 0c8a4ea3
LBP2026-04-30T02:18:57Z55.8%-4.2pp
Network propagation: 60.0% → 55.8%
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%0.0500.600-0.088
prereqSEM_015
Nvidia agreed to remit 15% of China chip-sale revenue directJensen Huang
66.3%0.6000.050-0.076
prereqSEM_027
Nvidia Data Center revenue +66% YoY, contributing ~90% of $5Joseph Moore
68.3%0.6000.050-0.075
killerTK05
Rate Regime Persistence (10y > 5% through 2028)
30.0%0.0500.600-0.060
killerTK03
AI Regulatory Moratorium (EU/US Capability Freeze)
10.0%0.0500.600+0.050

Top outgoing (children)

Predictions THIS node influences

KindNodeTheir probP(c|s=T)P(c|s=F)Δ implied
prereq232_057
First person to arrive on moon/Mars will find bed made by OpDave Blundin
34.8%0.6000.050-0.029
prereq242_023
World will have 10x more wealth around 2034-2036Dave Blundin
34.2%0.6000.050-0.023
prereq246_016
Dragonfly nuclear-powered octicopter arrives at Titan in 203Peter Diamandis
35.6%0.6500.050-0.013
prereq230_020
Peter's 14-year-old son Milan will never get a driver's licePeter Diamandis
34.7%0.6500.050-0.004
prereq240_036
TEPCO's restarted reactor will support 20% of Japan's electrPeter Diamandis
34.3%0.6500.050+0.000

Ticker exposure

37 ticker(s) linked

Beneficiaries (24)

MUWULFIRENEQIXALABAPLDASMIYASMLPLABNVDANBISCRWVAAPLAMTAMZNDELLGOOGLIRMLNVGYMETAMSFTORCLSFTBYSTX

Adverse (6)

ACNGENCHGGIBMWNSLRN

Prerequisites (10)

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
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
prereq230_020Peter's 14-year-old son Milan will never get a driver's license.Auto/Transport
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
prereq232_057First person to arrive on moon/Mars will find bed made by Optimus robots; robots not astronauts lead exploration.Robotics
prereq242_023World will have 10x more wealth around 2034-2036Macro/Economy

Raw metadata

From Thesis_Timeline_v1.0_FINAL workbook
{
  "nia": false,
  "qty": "from 10 years to 10 months to 10 weeks to 10 days",
  "url": "https://www.youtube.com/watch?v=T8X6kp-pcKs",
  "mode": "PREDICTION",
  "role": "Host",
  "context": "every 10 years something truly disruptive is going to obliterate whatever you do and here's how you should react to it in that moment but now instead of every 10 years it's going to be every 10 months and then soon it'll be every 10 weeks and then you know it'll be every 10 days pretty soon too but the playbooks is still the same",
  "to_year": 2030,
  "verbatim": "The innovator's dilemma contemplates hey every 10 years something truly disruptive is going to obliterate whatever you do and here's how you should react to it in that moment but now instead of every 10 years it's going to be every 10 months and then soon it'll be every 10 weeks and then you know it'll be every 10 days pretty soon too",
  "conv_cues": "going to be; soon",
  "direction": "DOWN",
  "from_year": 2026,
  "timeframe": "progressive shortening",
  "conv_level": "HIGH",
  "milestones": [
    {
      "kind": "llm_pre_event",
      "label": "Block (Square) CEO halves headcount 10K to <6K in single announcement citing AI",
      "notes": "HIT — Dorsey explicitly: 'intelligence tools have changed what it means to build and run a company.' Disruption arriving in weeks, not years.",
      "source": "https://tech-insider.org/tech-layoffs-2026-ai-workforce-impact/ — Block Feb 2026",
      "status": "hit",
      "weight": 0.4,
      "ordinal": -10,
      "source_id": null,
      "confidence": 0.95,
      "source_url": "https://tech-insider.org/tech-layoffs-2026-ai-workforce-impact/",
      "expected_date": "2026-02-28",
      "observed_date": "2026-02-28",
      "research_origin": "deep_research",
      "measurement_criterion": "Single Fortune 1000 CEO announcement reduces headcount by ≥40% citing AI capability shift"
    },
    {
      "kind": "llm_pre_event",
      "label": "Tech industry layoffs ~80,000 in Q1 2026 — 50% AI-attributed — disruption rolling through monthly",
      "notes": "HIT — quarterly disruption cycle now visible. From 10-year cycle to ~quarterly cycle is consistent with Blundin trajectory.",
      "source": "https://www.tomshardware.com/tech-industry/tech-industry-lays-off-nearly-80-000-employees-in-the-first-quarter-of-2026-almost-50-percent-of-affected-positions-cut-due-to-ai",
      "status": "hit",
      "weight": 0.4,
      "ordinal": -9,
      "source_id": null,
      "confidence": 0.9,
      "source_url": "https://www.tomshardware.com/tech-industry/tech-industry-lays-off-nearly-80-000-employees-in-the-first-quarter-of-2026-almost-50-percent-of-affected-positions-cut-due-to-ai",
      "expected_date": "2026-03-31",
      "observed_date": "2026-03-31",
      "research_origin": "deep_research",
      "measurement_criterion": "Single quarter (Q1 2026) tech layoffs reach ~80,000 with ~50% explicitly AI-attributed"
    },
    {
      "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": -8,
      "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": -7,
      "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": -6,
      "source_id": "SEM_014",
      "expected_date": "2026-04-29",
      "observed_date": "2026-04-29"

... (truncated)