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
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
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
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
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
This node isn't linked to a reference class. The Bayesian update applies without outside-view blending.
Probability over time
Milestone chain
- 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 2026Source: METR HCAST; OpenAI/Anthropic agent capability disclosuresconf 60%
- 2026-06-01 → 2027-12-31pendingAI agent autonomously completes a multi-week real-world commercial project end-to-end without human intervention beyond initial briefHow: 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 outputSource: G2 Enterprise AI Agents 2026 report; Deloitte State of AI 2026conf 55%
- 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 2026Source: DigitalApplied 'AI Agent Adoption 2026: 120+ Enterprise Data Points'conf 55%
- 2026-09-01 → 2028-06-30pendingAnthropic, OpenAI, or DeepMind publicly declares 'AGI achieved' or equivalent capability milestoneHow: 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' framingSource: Amodei Davos 2026; Sam Altman superintelligence statements; AI 2027 forecastconf 40%
- 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 thesisSource: Episode 235 host statement 'Anthropic will hit $1T revenue by 2029-2030'conf 45%
- 2027-06-01 → 2029-06-30pendingBLS or Treasury attributes a measurable fraction (>0.5pp) of unemployment to AI displacement in official reportHow: 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' thesisSource: BCG 'AI Will Reshape More Jobs Than It Replaces' 2026; Brookings AI labor displacementconf 40%
What if this resolves?
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
Network propagation neighbors
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 | TK09 Energy Grid Cap (Data Center Power Wall) | 35.0% | 0.050 | 0.550 | -0.079 |
| prereq | SEM_015 Nvidia agreed to remit 15% of China chip-sale revenue direct — Jensen Huang | 66.3% | 0.550 | 0.050 | -0.068 |
| prereq | SEM_027 Nvidia Data Center revenue +66% YoY, contributing ~90% of $5 — Joseph Moore | 68.3% | 0.550 | 0.050 | -0.068 |
| killer | TK05 Rate Regime Persistence (10y > 5% through 2028) | 30.0% | 0.050 | 0.550 | -0.054 |
| killer | TK03 AI Regulatory Moratorium (EU/US Capability Freeze) | 10.0% | 0.050 | 0.550 | +0.046 |
Top outgoing (children)
Predictions THIS node influences
| Kind | Node | Their prob | P(c|s=T) | P(c|s=F) | Δ implied |
|---|---|---|---|---|---|
| prereq | 246_017 Europa Clipper will arrive at Jupiter in 2030, conducting 50 — Peter Diamandis | 37.7% | 0.650 | 0.050 | -0.059 |
| prereq | 247_035 Dario Amodei will solve most/all neurological diseases by en — Dario Amodei | 38.8% | 0.700 | 0.050 | -0.047 |
| prereq | 246_016 Dragonfly nuclear-powered octicopter arrives at Titan in 203 — Peter Diamandis | 35.6% | 0.650 | 0.050 | -0.038 |
| prereq | 230_020 Peter's 14-year-old son Milan will never get a driver's lice — Peter Diamandis | 34.7% | 0.650 | 0.050 | -0.028 |
| prereq | 240_036 TEPCO's restarted reactor will support 20% of Japan's electr — Peter Diamandis | 34.3% | 0.650 | 0.050 | -0.024 |
Ticker exposure
Beneficiaries (24)
Adverse (6)
Prerequisites (11)
| Type | Pred | Title | Domain | Lag |
|---|---|---|---|---|
| prereq | SEM_011 | Nvidia became the world's first $5 trillion company (late 2025), operating a near-monopoly on advanced AI chips. | Capital Markets | — |
| prereq | SEM_027 | Nvidia Data Center revenue +66% YoY, contributing ~90% of $57B fiscal Q3 revenue; >$4.5T market cap entirely underpinned by AI silicon. | Capital Markets | — |
| prereq | SEM_014 | Nvidia's Arizona-based TSMC factory successfully fabricated cutting-edge semiconductors on US soil for first time in decades (October 2025). | Manufacturing | — |
| prereq | SEM_012 | Nvidia quadrupled chip production output while only doubling human headcount — achieved by deploying AI coding tools (Cursor, Claude Code) across engineering. | AI/Manufacturing | — |
| prereq | SEM_015 | Nvidia agreed to remit 15% of China chip-sale revenue directly to US government in exchange for reversing specific AI chip export bans. | Policy/Semis | — |
| correlate | S_ASI_MID_2034 | ASI mid: Schmidt 'ASI in 6 years' | asi_recursive_self_improvement | — |
| killer | TK09 | Energy Grid Cap (Data Center Power Wall) | — | — |
| killer | TK05 | Rate Regime Persistence (10y > 5% through 2028) | — | — |
| killer | TK01 | AGI Capability Plateau (2026-27 Training Stall) | — | — |
| killer | TK02 | AI Compute Supply Shock (TSMC/Taiwan Disruption) | — | — |
| killer | TK03 | AI Regulatory Moratorium (EU/US Capability Freeze) | — | — |
Dependents (5)
| Type | Pred | Title | Domain | Lag |
|---|---|---|---|---|
| prereq | 247_035 | Dario Amodei will solve most/all neurological diseases by end of decade | Biotech/Longevity | — |
| prereq | 230_020 | Peter's 14-year-old son Milan will never get a driver's license. | Auto/Transport | — |
| prereq | 246_017 | Europa Clipper will arrive at Jupiter in 2030, conducting 50 passes near Europa. | Space | — |
| prereq | 246_016 | Dragonfly nuclear-powered octicopter arrives at Titan in 2034. | Space | — |
| prereq | 240_036 | TEPCO's restarted reactor will support 20% of Japan's electric needs by 2040 | Energy | — |
Raw metadata
{
"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)