Yafah Edelman

Yafah Edelman

Yafah Edelman is the head of data and trends at Epoch AI. She is interested in understanding and measuring the inputs that allow AI to scale.

yafah@epoch.ai

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Claude usage rose by over 40% amid increased attention but remains far behind ChatGPT
Data Insight
Apr. 15, 2026
Claude usage rose by over 40% amid increased attention but remains far behind ChatGPT

By Yafah Edelman, Caroline Falkman Olsson, and Jaeho Lee

AI is a common workplace tool: half of employed AI users now use it for work
Report
Apr. 9, 2026
AI is a common workplace tool: half of employed AI users now use it for work

We surveyed over 2,000 Americans on how they use AI at work: who uses it, how much, which services, and whether it's replacing or creating tasks.

By Caroline Falkman Olsson and Yafah Edelman

Anthropic could surpass OpenAI in annualized revenue by mid-2026
Data Insight
Feb. 19, 2026
Anthropic could surpass OpenAI in annualized revenue by mid-2026

By Luke Emberson and Yafah Edelman

Compute accounts for the majority of expenses of AI companies
Data Insight
Feb. 4, 2026
Compute accounts for the majority of expenses of AI companies

By Luke Emberson and Yafah Edelman

Benchmark scores are well correlated, even across domains
Data Insight
Jan. 23, 2026
Benchmark scores are well correlated, even across domains

By Luke Emberson and Yafah Edelman

Global AI power capacity is now comparable to peak power usage of New York State
Data Insight
Jan. 16, 2026
Global AI power capacity is now comparable to peak power usage of New York State

By Yafah Edelman, Josh You, Venkat Somala, and Luke Emberson

Global AI computing capacity is doubling every 7 months
Data Insight
Jan. 9, 2026
Global AI computing capacity is doubling every 7 months

By Josh You, Venkat Somala, Yafah Edelman, and Luke Emberson

AI capabilities progress has sped up
Data Insight
Dec. 23, 2025
AI capabilities progress has sped up

By Yafah Edelman and Jaeho Lee

Is almost everyone wrong about America’s AI power problem?
Newsletter
Dec. 17, 2025
Is almost everyone wrong about America’s AI power problem?

Why power is less of a bottleneck than you think.

By Anson Ho, Yafah Edelman, Josh You, and Jean-Stanislas Denain

What you need to know about AI data centers
Report
Nov. 4, 2025
What you need to know about AI data centers

AI companies are planning a buildout of data centers that will rank among the largest infrastructure projects in history. We examine their power demands, what makes AI data centers special, and what all this means for AI policy and the future of AI.

By Ben Cottier and Yafah Edelman

Why GPT-5 used less training compute than GPT-4.5 (but GPT-6 probably won’t)
Newsletter
Sep. 26, 2025
Why GPT-5 used less training compute than GPT-4.5 (but GPT-6 probably won’t)

OpenAI focused on scaling post-training on a smaller model

By Yafah Edelman, Jean-Stanislas Denain, Jaime Sevilla, and Anson Ho

AI developers accurately report GPQA Diamond scores for recent models
Data Insight
Sep. 19, 2025
AI developers accurately report GPQA Diamond scores for recent models

By Jaeho Lee and Yafah Edelman

What did it take to train Grok 4?
Data Insight
Sep. 12, 2025
What did it take to train Grok 4?

By James Sanders, Luke Emberson, and Yafah Edelman

Compute scaling will slow down due to increasing lead times
Newsletter
Sep. 5, 2025
Compute scaling will slow down due to increasing lead times

A heavily underappreciated dynamic when thinking about AI timelines.

By Yafah Edelman and Anson Ho

Forecasting AI progress until 2040
Podcast
Sep. 4, 2025
Forecasting AI progress until 2040

Epoch AI researchers Jaime Sevilla and Yafah Edelman forecast AI progress to 2040: coding automation, 10% GDP growth, and wild uncertainty after 2035.

By Jaime Sevilla and Yafah Edelman

Compute is not a bottleneck for robotic manipulation
Data Insight
Aug. 8, 2025
Compute is not a bottleneck for robotic manipulation

By Ben Cottier, Scott Longwell, James Sanders, David Owen, Yafah Edelman, and Luke Emberson

Training open-weight models is becoming more data intensive
Data Insight
Aug. 1, 2025
Training open-weight models is becoming more data intensive

By Venkat Somala and Yafah Edelman

Frontier training runs will likely stop getting longer by around 2027
Data Insight
Jul. 25, 2025
Frontier training runs will likely stop getting longer by around 2027

By Luke Emberson and Yafah Edelman