'Powerful AI' (functional AGI) arrives 2026-2027 — data centers house a 'nation of geniuses' consisting of millions of highly specialized autonomous agents operating orders of magnitude faster than human counterparts; entire software development lifecy...
Predictor: Dario Amodei
Prediction text
'Powerful AI' (functional AGI) arrives 2026-2027 — data centers house a 'nation of geniuses' consisting of millions of highly specialized autonomous agents operating orders of magnitude faster than human counterparts; entire software development lifecycle handled end-to-end within 6-12 months, eliminating up to 50% of white-collar employment. | First public Anthropic ACI (Artificial Capable Intelligence) claim
Key catalyst: First public Anthropic ACI (Artificial Capable Intelligence) claim
Watch events: SWE-Bench saturation; Claude 5+ / GPT-6 capability releases
Resolution evidence
Claude 4 / Claude Code SWE-Bench >70%; SDLC automation emerging. "Nation of geniuses" aspirational; 6-12mo full SDLC aggressive.
Predictor: Dario Amodei
Calibration plot (stated vs observed)
Evidence about this node from Dario Amodei 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: agi_breakthrough_5y
Major capability discontinuity (e.g. AGI by named target year, 5-year horizon)
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
Milestone chain
- 2024-10-11hitAnthropic CEO Amodei warns AI matches 'country of geniuses' by 2026How: Dario Amodei publishes essay/interview stating powerful AI ('country of geniuses in a datacenter') arrives late 2026 or early 2027Source: https://www.darioamodei.com/essay/machines-of-loving-grace — Amodei 'Machines of Loving Grace' essayconf 99%
- 2025-03-15hitAnthropic 2026 OSTP submission states AGI by early 2027How: Anthropic OSTP recommendations explicitly forecast AGI by early 2027, only AI lab making this institutional commitmentSource: https://blog.redwoodresearch.org/p/whats-up-with-anthropic-predicting — Redwood Research analysis of Anthropic's AGI early-2027 predictionconf 95%
- 2026-05-13overdueQ1 window check-in (25%)
- 2026-09-23pendingQ2 window check-in (50%)
- 2026-06-01 → 2027-06-30pendingSingle training run cost exceeds $10BHow: Major AI lab (OpenAI/Anthropic/Google DeepMind/xAI) publicly confirms training compute spend exceeding $10B for a single modelSource: https://www.darioamodei.com/essay/machines-of-loving-grace — Amodei prediction of $10B training runs in 2026conf 65%
- 2027-02-02pendingQ3 window check-in (75%)
- 2026-06-01 → 2027-11-30pendingAI completes end-to-end software development tasks lasting hours/daysHow: Frontier AI agent completes ≥40-hour software development task end-to-end at ≥50% success rate per METR or equivalent benchmarkSource: https://spectrum.ieee.org/state-of-ai-index-2026 — Stanford AI Index METR doubling researchconf 55%
- 2026-06-01 → 2027-11-30pendingMajor employer announces ≥30% white-collar headcount reduction citing AIHow: Fortune 500 employer announces ≥30% white-collar (knowledge worker) headcount reduction explicitly attributed to AI/agents, signaling step toward 50% white-collar elimination thesisSource: SEC 10-K filings, WARN notices, corporate press releasesconf 40%Notes: Cascade — Amodei's 50% white-collar elimination is aggressive; ≥30% from a single major employer is more plausible early signal.
No downstream cascades — this prediction is a leaf in the dependency graph.
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
Raw metadata
{
"trf": 0.7852047391286945,
"kappa": 0.6875,
"base_rate": 0.2,
"predictor": "Dario Amodei",
"total_llr": -0.4054651081081644,
"grace_days": 7,
"bayesian_v2": true,
"prior_logit": -0.8017829396315219,
"bayes_factor": "1.3:1 against",
"blend_reason": "blend 45% inside / 54% outside (TRF=0.785, base_rate=0.200 from agi_breakthrough_5y)",
"inside_prior": 0.309644260035229,
"kappa_source": "predictor_table",
"n_milestones": 1,
"blend_applied": true,
"contributions": [
{
"llr": -0.4054651081081644,
"kind": "quartile_checkpoint",
"kappa": 0.6875,
"label": "Q1 window check-in (25%)",
"weight": 0.05,
"strength": "weak",
"confidence": null,
"source_url": null,
"adjusted_llr": -0.278757261824363,
"expected_date": "2026-05-13",
"measurement_criterion": null
}
],
"evidence_kind": "metadata_milestone_miss_sweep",
"inside_source": "history_v2",
"inside_weight": 0.45035668260991385,
"outside_weight": 0.5496433173900861,
"posterior_prob": 0.22294328433185537,
"posterior_logit": -1.080540201455885,
"predictor_brier": 0.0363,
"inside_posterior": 0.2534038021649466,
"blended_posterior": 0.22294328433185537,
"reference_class_id": "agi_breakthrough_5y",
"total_adjusted_llr": -0.278757261824363,
"predictor_n_resolved": 3
}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 | TK06 China-Taiwan Military Conflict | 8.0% | 0.050 | 0.350 | +0.103 |
| killer | TK03 AI Regulatory Moratorium (EU/US Capability Freeze) | 10.0% | 0.050 | 0.350 | +0.097 |
| killer | TK11 Autonomous Regulatory Block (Level 4 Halt) | 10.0% | 0.050 | 0.350 | +0.097 |
| killer | TK01 AGI Capability Plateau (2026-27 Training Stall) | 15.0% | 0.050 | 0.350 | +0.082 |
| killer | TK09 Energy Grid Cap (Data Center Power Wall) | 35.0% | 0.050 | 0.350 | +0.022 |
Top outgoing (children)
Predictions THIS node influences
No outgoing edges.
Ticker exposure
Adverse (5)
Prerequisites (8)
| Type | Pred | Title | Domain | Lag |
|---|---|---|---|---|
| correlate | S_GRID_50GW_2027 | 50GW dedicated AI/data center grid by Dec 2027 | energy_grid_expansion | — |
| correlate | S_AGI_FAST_2027 | AGI fast: drop-in remote worker by 2027-09 | agi_general_capability | — |
| correlate | S_COMPUTE_100GW_2030 | Compute: 100GW national-scale by Dec 2030 | compute_scale | — |
| killer | TK09 | Energy Grid Cap (Data Center Power Wall) | — | — |
| killer | TK01 | AGI Capability Plateau (2026-27 Training Stall) | — | — |
| killer | TK11 | Autonomous Regulatory Block (Level 4 Halt) | — | — |
| killer | TK03 | AI Regulatory Moratorium (EU/US Capability Freeze) | — | — |
| killer | TK06 | China-Taiwan Military Conflict | — | — |
Dependents (0)
| Type | Pred | Title | Domain | Lag |
|---|---|---|---|---|
| No dependents | ||||
Linked documents (3)
| Sim | Source | Title | Market prob | Polarity | Reviewed | Published |
|---|---|---|---|---|---|---|
| 0.672 | arxiv | The New Pro Se: Generative AI and the Surge in Federal Civil Self-Representation | — | mentions | pending | 2026-05-28 |
| 0.550 | codex_research_pack | METR - Measuring AI Ability to Complete Long Tasks | — | corroborates | pending | 2025-03-19 |
| 0.550 | codex_research_pack | OECD - Exploring Possible AI Trajectories Through 2030 | — | corroborates | pending | 2026-04-26 |
Raw metadata
{
"nia": false,
"qty": "6-12mo full SDLC; 50% WC elim",
"mode": "FORECAST",
"role": "Cited-CEO",
"context": "Integrates Amodei specific framings distinct from 236_005 (50% entry-level), CMQ_008 (rapid agentic automation), CMQ_006 (cancer/Alzheimer's 5-10yr), INF_074 (AGI high GDP growth). The 'nation of geniuses' coinage + 6-12mo full SDLC timeline.",
"to_year": 2027,
"conv_cues": "CEO FIRST_PERSON; coined phrase; specific metrics",
"direction": "HAPPEN",
"from_year": 2026,
"timeframe": "2026-2027",
"conv_level": "HIGH",
"milestones": [
{
"kind": "llm_pre_event",
"label": "Anthropic CEO Amodei warns AI matches 'country of geniuses' by 2026",
"source": "https://www.darioamodei.com/essay/machines-of-loving-grace — Amodei 'Machines of Loving Grace' essay",
"status": "hit",
"weight": 0.4,
"ordinal": -8,
"source_id": null,
"confidence": 0.99,
"source_url": "https://www.darioamodei.com/essay/machines-of-loving-grace",
"expected_date": "2025-01-31",
"observed_date": "2024-10-11",
"research_origin": "deep_research",
"measurement_criterion": "Dario Amodei publishes essay/interview stating powerful AI ('country of geniuses in a datacenter') arrives late 2026 or early 2027"
},
{
"kind": "llm_pre_event",
"label": "Anthropic 2026 OSTP submission states AGI by early 2027",
"source": "https://blog.redwoodresearch.org/p/whats-up-with-anthropic-predicting — Redwood Research analysis of Anthropic's AGI early-2027 prediction",
"status": "hit",
"weight": 0.4,
"ordinal": -7,
"source_id": null,
"confidence": 0.95,
"source_url": "https://blog.redwoodresearch.org/p/whats-up-with-anthropic-predicting",
"expected_date": "2025-03-31",
"observed_date": "2025-03-15",
"research_origin": "deep_research",
"measurement_criterion": "Anthropic OSTP recommendations explicitly forecast AGI by early 2027, only AI lab making this institutional commitment"
},
{
"kind": "quartile_checkpoint",
"label": "Q1 window check-in (25%)",
"status": "overdue",
"weight": 0.05,
"ordinal": -6,
"source_id": null,
"expected_date": "2026-05-13",
"observed_date": null,
"miss_emitted_at": "2026-05-30T22:15:00.756418+00:00",
"miss_emitted_by": "metadata_milestone_sweep"
},
{
"kind": "quartile_checkpoint",
"label": "Q2 window check-in (50%)",
"status": "pending",
"weight": 0.05,
"ordinal": -5,
"source_id": null,
"expected_date": "2026-09-23",
"observed_date": null
},
{
"kind": "llm_pre_event",
"label": "Single training run cost exceeds $10B",
"source": "https://www.darioamodei.com/essay/machines-of-loving-grace — Amodei prediction of $10B training runs in 2026",
"status": "pending",
"weight": 0.4,
"ordinal": -4,
"source_id": null,
"confidence": 0.65,
"source_url": "https://www.darioamodei.com/essay/machines-of-loving-grace",
"expected_date": "2026-12-15",
"research_origin": "deep_research",
"expected_date_range": {
"to": "2027-06-30",
"from": "2026-06-01"
},
"measurement_criterion": "Major AI lab (OpenAI/Anthropic/Google DeepMind/xAI) publicly confirms training compute spend exceeding $10B for a single model"
},
{
"kind": "quartile_checkpoint",
"label": "Q3 window check-in (75%)",
"status": "pending",
"weight": 0.05,
"ordinal": -3,
"source_id": null,
"expected_date": "2027-02-02",
"observed_date": null
},
{
"kind": "llm_pre_event",
"label": "AI completes end-to-end software development tasks lasting hours/days",
"source": "https://spectrum.ieee.org/state-of-ai-index-2026 — Stanford AI Index METR doubling research",
"status": "pending",
"weight": 0.4,
"ordinal": -2,
"s
... (truncated)