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Research note: A simpler AI timelines model predicts 99% AI R&D automation in ~2032

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Good quality. Reputable source with community review or editorial standards, but less rigorous than peer-reviewed venues.

Rating inherited from publication venue: Alignment Forum

Published by METR researcher Thomas Kwa in February 2026, this note complements the AI Futures Model by offering a leaner, more interpretable forecasting framework, relevant to near-term AI safety planning and timeline estimation.

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Importance: 72/100blog postanalysis

Summary

Thomas Kwa (METR) presents an 8-parameter model for forecasting AI R&D automation, derived from the AI Futures Model but designed to be more transparent and robust with conservative assumptions. The model's median prediction is >99% automation of AI R&D by late 2032, with 1000x–10,000,000x efficiency gains and 300x–3000x research output increases by 2035. It uses logistic automation curves and Cobb-Douglas production functions, and argues that even moderate trends in compute and algorithmic progress will yield transformatively powerful AI on medium timelines.

Key Points

  • 8-parameter simplified model (vs. 33 in the AI Futures Model) predicts >99% AI R&D automation by late 2032 under current compute and algorithmic trends.
  • Uses logistic curves for automation adoption and Cobb-Douglas production functions for combining AI labor and compute.
  • Conservative assumptions still yield 1000x–10,000,000x AI efficiency gains and 300x–3000x research output by 2035.
  • Argues medium timelines remain extremely consequential even without the aggressive 'fast' scenarios (superintelligence by mid-2031) in the AIFM.
  • Identifies key parameter uncertainties and discusses modeling choices including why substitutability between tasks is excluded.

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AI TimelinesConcept95.0

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[Research note: A simpler AI timelines model predicts 99% AI R&D automation in ~2032](https://www.alignmentforum.org/posts/uy6B5rEPvcwi55cBK/research-note-a-simpler-ai-timelines-model-predicts-99-ai-r#)

10 min read

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[Why make this?](https://www.alignmentforum.org/posts/uy6B5rEPvcwi55cBK/research-note-a-simpler-ai-timelines-model-predicts-99-ai-r#Why_make_this_)

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[Scope and limitations](https://www.alignmentforum.org/posts/uy6B5rEPvcwi55cBK/research-note-a-simpler-ai-timelines-model-predicts-99-ai-r#Scope_and_limitations)

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[The model](https://www.alignmentforum.org/posts/uy6B5rEPvcwi55cBK/research-note-a-simpler-ai-timelines-model-predicts-99-ai-r#The_model)

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[Parameter values](https://www.alignmentforum.org/posts/uy6B5rEPvcwi55cBK/research-note-a-simpler-ai-timelines-model-predicts-99-ai-r#Parameter_values)

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[Graphs](https://www.alignmentforum.org/posts/uy6B5rEPvcwi55cBK/research-note-a-simpler-ai-timelines-model-predicts-99-ai-r#Graphs)

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[Observations](https://www.alignmentforum.org/posts/uy6B5rEPvcwi55cBK/research-note-a-simpler-ai-timelines-model-predicts-99-ai-r#Observations)

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[Discussion](https://www.alignmentforum.org/posts/uy6B5rEPvcwi55cBK/research-note-a-simpler-ai-timelines-model-predicts-99-ai-r#Discussion)

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[More on modeling choices](https://www.alignmentforum.org/posts/uy6B5rEPvcwi55cBK/research-note-a-simpler-ai-timelines-model-predicts-99-ai-r#More_on_modeling_choices)

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[List of differences from the AIFM](https://www.alignmentforum.org/posts/uy6B5rEPvcwi55cBK/research-note-a-simpler-ai-timelines-model-predicts-99-ai-r#List_of_differences_from_the_AIFM)

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[How could we better estimate the parameters?](https://www.alignmentforum.org/posts/uy6B5rEPvcwi55cBK/research-note-a-simpler-ai-timelines-model-predicts-99-ai-r#How_could_we_better_estimate_the_parameters_)

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[Why is automation logistic?](https://www.alignmentforum.org/posts/uy6B5rEPvcwi55cBK/research-note-a-simpler-ai-timelines-model-predicts-99-ai-r#Why_is_automation_logistic_)

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[Why are labor and compute Cobb-Douglas?](https://www.alignmentforum.org/posts/uy6B5rEPvcwi55cBK/research-note-a-simpler-ai-timelines-model-predicts-99-ai-r#Why_are_labor_and_compute_Cobb_Douglas_)

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[Why is there no substitutability between tasks?](https://www.alignmentforum.org/posts/uy6B5rEPvcwi55cBK/research-note-a-simpler-ai-timelines-model-predicts-99-ai-r#Why_is_there_no_substitutability_between_tasks_)

[AI](https://www.alignmentforum.org/w/ai)[World Modeling](https://www.alignmentforum.org/w/world-modeling)
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# 27

# [Research note: A simpler AI timelines model predicts 99% AI R&D automation in~2032](https://www.alignmentforum.org/posts/uy6B5rEPvcwi55cBK/research-note-a-simpler-ai-timelines-model-predicts-99-ai-r)

by [Thomas Kwa](https://www.alignmentforum.org/users/thomas-kwa?from=post_header)

12th Feb 2026

[Linkpost from metr.org](https://metr.org/notes/2026-02-10-simpler-ai-timelines-model/)

10 min read

[15](https://www.alignmentforum.org/pos

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Resource ID: 42e15d385aed4853 | Stable ID: NzRmNTM2Nj