AGI-like models matching or outperforming human experts across most professional domains could arrive as early as 2026-2027.
Predictor: Dario Amodei
Prediction text
AGI-like models matching or outperforming human experts across most professional domains could arrive as early as 2026-2027. | Claude expert-level benchmarks; Anthropic ARR trajectory
Key catalyst: Claude expert-level benchmarks; Anthropic ARR trajectory
Watch events: Claude 4.x/5.x model releases; agentic task completion benchmarks; enterprise white-collar substitution metrics.
Resolution evidence
Anthropic crossed $30B ARR April 2026 overtaking OpenAI; Claude capability trajectory (Opus 4.6/4.7 family) supports aggressive timeline.
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
- 2026-01-31hitAnthropic publicly forecasts AGI / powerful AI within 2026-2027 horizonHow: Anthropic CEO publicly states (essay, interview, blog post, congressional testimony) that AGI-level systems will arrive by 2026 or 2027Source: https://www.darioamodei.com/essay/machines-of-loving-graceconf 99%Notes: HIT — Amodei's 'Adolescence of Technology' (Jan 2026) and Davos 2026 appearance both reaffirm 2026-2027 powerful-AI window.
- 2026-05-17overdueQ1 window check-in (25%)
- 2026-10-01pendingQ2 window check-in (50%)
- 2026-04-01 → 2027-09-30pendingAnthropic ARR exceeds $30B annualized run-rateHow: Anthropic publicly reports or analyst consensus shows ARR >=$30B annualized — scale signal for AGI-tier deploymentSource: https://www.eweek.com/news/anthropic-1-trillion-valuation-neuron/conf 70%Notes: Anthropic at $1T valuation 2026 implies ARR-multiple consistent with $20-40B trajectory.
- 2026-06-01 → 2027-09-30pendingFrontier model achieves expert-level performance on broad professional certification benchmarkHow: Single frontier model (Claude / GPT / Gemini) scores at 90th-percentile-or-higher on >=5 distinct professional licensing exams (USMLE, bar, CPA, FE/PE engineering, CFA Level 3) within same releaseSource: https://blog.redwoodresearch.org/p/whats-up-with-anthropic-predictingconf 80%
- 2027-02-14pendingQ3 window check-in (75%)
- 2026-06-01 → 2027-12-31pendingAI fully automates >=80% of typical software-engineering tasks at Fortune 500How: Independent industry survey (GitHub / McKinsey / Gartner) reports >=80% of routine SWE tasks at Fortune 500 are AI-completed end-to-end with human review onlySource: https://eu.36kr.com/en/p/3648851352018565conf 50%Notes: Cascade — Amodei's '6-12 months until SWEs replaced' (Davos 2026) is aggressive; 80% task-level automation more plausible by 2027.
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": -0.16559666538750165,
"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": 0.458695179819821,
"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": "2026-05-17",
"measurement_criterion": null
}
],
"evidence_kind": "metadata_milestone_miss_sweep",
"inside_source": "history_v2",
"inside_weight": 0.45035668260991385,
"outside_weight": 0.5496433173900861,
"posterior_prob": 0.2764608989788214,
"posterior_logit": -0.4443539272118646,
"predictor_brier": 0.0363,
"inside_posterior": 0.3907040059674444,
"blended_posterior": 0.2764608989788214,
"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 | TK03 AI Regulatory Moratorium (EU/US Capability Freeze) | 10.0% | 0.050 | 0.600 | +0.269 |
| killer | TK01 AGI Capability Plateau (2026-27 Training Stall) | 15.0% | 0.050 | 0.600 | +0.241 |
| prereq | 238_009 Recursive self-improvement is already happening now (no long — Alex Wissner-Gross | 78.1% | 0.600 | 0.050 | +0.198 |
Top outgoing (children)
Predictions THIS node influences
| Kind | Node | Their prob | P(c|s=T) | P(c|s=F) | Δ implied |
|---|---|---|---|---|---|
| prereq | 242_001 Elon's Terafab will build 1 terawatt of AI compute per year, — Elon Musk | 43.9% | 0.550 | 0.050 | -0.206 |
| prereq | 241_043 ASI will arrive within 2 years to 5 years to this next decad — Peter Diamandis | 35.9% | 0.650 | 0.050 | -0.089 |
| prereq | 235_030 Ray Kurzweil predicts Longevity Escape Velocity (LEV) by 203 — Ray Kurzweil | 39.2% | 0.750 | 0.050 | -0.086 |
| prereq | CMQ_002 By 2028, AI systems will reach 'independent researcher' leve — Sam Altman | 31.4% | 0.550 | 0.050 | -0.081 |
| prereq | SEM_034 True artificial general intelligence will be achieved betwee — Demis Hassabis | 28.7% | 0.550 | 0.050 | -0.054 |
Ticker exposure
Beneficiaries (13)
Prerequisites (11)
| Type | Pred | Title | Domain | Lag |
|---|---|---|---|---|
| prereq | 238_009 | Recursive self-improvement is already happening now (no longer three years out) | AI | — |
| correlate | S_ASI_SLOW_2040PLUS | ASI slow: post-2040 / soft takeoff | asi_recursive_self_improvement | — |
| correlate | S_AGI_MID_2029 | AGI mid: Kurzweil 2029 path | agi_general_capability | — |
| correlate | S_ASI_MID_2034 | ASI mid: Schmidt 'ASI in 6 years' | asi_recursive_self_improvement | — |
| correlate | S_AGI_FAST_2027 | AGI fast: drop-in remote worker by 2027-09 | agi_general_capability | — |
| correlate | S_AGI_SLOW_2031 | AGI slow: Schmidt/Hassabis 5-10 year path | agi_general_capability | — |
| correlate | S_HUMANOID_MASS_2033 | Humanoid R4: 10M+ cumulative by Dec 2033 | humanoid_deployment | — |
| correlate | S_AGI_WINTER_2036PLUS | AGI delayed: capability plateau or AI winter | agi_general_capability | — |
| correlate | S_ASI_FAST_2031 | ASI fast: RSI within 5y of AGI | asi_recursive_self_improvement | — |
| killer | TK01 | AGI Capability Plateau (2026-27 Training Stall) | — | — |
| killer | TK03 | AI Regulatory Moratorium (EU/US Capability Freeze) | — | — |
Dependents (5)
| Type | Pred | Title | Domain | Lag |
|---|---|---|---|---|
| prereq | 235_030 | Ray Kurzweil predicts Longevity Escape Velocity (LEV) by 2033. | Biotech/Longevity | — |
| prereq | 241_043 | ASI will arrive within 2 years to 5 years to this next decade | AI | — |
| prereq | CMQ_002 | By 2028, AI systems will reach 'independent researcher' level — driving autonomous scientific discoveries without human intervention. | AI | — |
| prereq | SEM_034 | True artificial general intelligence will be achieved between 2032 and 2042 — 'first we solve AI, then use AI to solve everything else'. | AI/AGI | — |
| prereq | 242_001 | Elon's Terafab will build 1 terawatt of AI compute per year, 50x current global production | AI | — |
Linked documents (10)
Raw metadata
{
"nia": false,
"qty": "expert-level AGI",
"mode": "FORECAST",
"role": "Cited-CEO",
"context": "Amodei's 'Machines of Loving Grace' timeline; more aggressive than Altman on near-term expert-level AI.",
"to_year": 2027,
"conv_cues": "could arrive as early as; CEO",
"direction": "HAPPEN",
"from_year": 2026,
"timeframe": "2026-2027",
"conv_level": "HIGH",
"milestones": [
{
"kind": "llm_pre_event",
"label": "Anthropic publicly forecasts AGI / powerful AI within 2026-2027 horizon",
"notes": "HIT — Amodei's 'Adolescence of Technology' (Jan 2026) and Davos 2026 appearance both reaffirm 2026-2027 powerful-AI window.",
"source": "https://www.darioamodei.com/essay/machines-of-loving-grace",
"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": "2026-01-31",
"observed_date": "2026-01-31",
"research_origin": "deep_research",
"measurement_criterion": "Anthropic CEO publicly states (essay, interview, blog post, congressional testimony) that AGI-level systems will arrive by 2026 or 2027"
},
{
"kind": "prereq",
"label": "Recursive self-improvement is already happening now (no longer three years out)",
"status": "hit",
"weight": 0.5,
"ordinal": -7,
"source_id": "238_009",
"expected_date": "2026-04-29",
"observed_date": "2026-04-29"
},
{
"kind": "quartile_checkpoint",
"label": "Q1 window check-in (25%)",
"status": "overdue",
"weight": 0.05,
"ordinal": -6,
"source_id": null,
"expected_date": "2026-05-17",
"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": "2026-10-01",
"observed_date": null
},
{
"kind": "llm_pre_event",
"label": "Anthropic ARR exceeds $30B annualized run-rate",
"notes": "Anthropic at $1T valuation 2026 implies ARR-multiple consistent with $20-40B trajectory.",
"source": "https://www.eweek.com/news/anthropic-1-trillion-valuation-neuron/",
"status": "pending",
"weight": 0.4,
"ordinal": -4,
"source_id": null,
"confidence": 0.7,
"source_url": "https://www.eweek.com/news/anthropic-1-trillion-valuation-neuron/",
"expected_date": "2026-12-30",
"research_origin": "deep_research",
"expected_date_range": {
"to": "2027-09-30",
"from": "2026-04-01"
},
"measurement_criterion": "Anthropic publicly reports or analyst consensus shows ARR >=$30B annualized — scale signal for AGI-tier deployment"
},
{
"kind": "llm_pre_event",
"label": "Frontier model achieves expert-level performance on broad professional certification benchmark",
"source": "https://blog.redwoodresearch.org/p/whats-up-with-anthropic-predicting",
"status": "pending",
"weight": 0.4,
"ordinal": -3,
"source_id": null,
"confidence": 0.8,
"source_url": "https://blog.redwoodresearch.org/p/whats-up-with-anthropic-predicting",
"expected_date": "2027-01-30",
"research_origin": "deep_research",
"expected_date_range": {
"to": "2027-09-30",
"from": "2026-06-01"
},
"measurement_criterion": "Single frontier model (Claude / GPT / Gemini) scores at 90th-percentile-or-higher on >=5 distinct professional licensing exams (USMLE, bar, CPA, FE/PE engineering, CFA Level 3) within same release"
},
{
"kind": "quartile_checkpoint",
"label": "Q3 window check-in (75%)",
"status": "pending",
"weight": 0.05,
"ordina
... (truncated)