Dario Amodei
Dario Amodei is the co-founder and CEO of Anthropic, the AI safety company behind the Claude family of large language models. While not a traditional AdTech figure, Amodei's work is increasingly consequential for the advertising and marketing technology ecosystem as brands, agencies, and ad platforms integrate Claude into content generation, audience intelligence, campaign optimization, and customer experience workflows. His focus on building safe, interpretable, and commercially viable AI systems has made Anthropic a preferred enterprise AI partner for companies navigating the post-cookie, AI-driven future of digital marketing. Before founding Anthropic in 2021, Amodei served as VP of Research at OpenAI, where he led some of the most significant large language model research efforts in the industry, including work on GPT-2 and GPT-3. His departure from OpenAI, along with several colleagues including his sister Daniela Amodei, was motivated by a desire to build AI with a stronger safety-first mandate. Anthropic has since raised billions in funding from investors including Google and Spark Capital, positioning Claude as a direct competitor to GPT-4 in enterprise and developer markets. Amodei holds a PhD in computational neuroscience from Princeton University and has published influential research on neural network scaling laws, which underpin modern assumptions about how AI capabilities grow with compute and data. His technical credibility combined with his executive leadership has made him one of the most cited voices in debates about AI regulation, responsible deployment, and the long-term trajectory of general-purpose AI — all of which have direct implications for how AdTech companies will build and govern AI-powered products.
Last updated Sep 26, 2026 by ATDb automated enrichment
- Years in industry
- 10 years
Bio
Dario Amodei is the co-founder and CEO of Anthropic, the AI safety company behind the Claude family of large language models. While not a traditional AdTech figure, Amodei's work is increasingly consequential for the advertising and marketing technology ecosystem as brands, agencies, and ad platforms integrate Claude into content generation, audience intelligence, campaign optimization, and customer experience workflows. His focus on building safe, interpretable, and commercially viable AI systems has made Anthropic a preferred enterprise AI partner for companies navigating the post-cookie, AI-driven future of digital marketing. Before founding Anthropic in 2021, Amodei served as VP of Research at OpenAI, where he led some of the most significant large language model research efforts in the industry, including work on GPT-2 and GPT-3. His departure from OpenAI, along with several colleagues including his sister Daniela Amodei, was motivated by a desire to build AI with a stronger safety-first mandate. Anthropic has since raised billions in funding from investors including Google and Spark Capital, positioning Claude as a direct competitor to GPT-4 in enterprise and developer markets. Amodei holds a PhD in computational neuroscience from Princeton University and has published influential research on neural network scaling laws, which underpin modern assumptions about how AI capabilities grow with compute and data. His technical credibility combined with his executive leadership has made him one of the most cited voices in debates about AI regulation, responsible deployment, and the long-term trajectory of general-purpose AI — all of which have direct implications for how AdTech companies will build and govern AI-powered products.
Career
VP of Research
OpenAI · 2016-2021
Research Scientist
OpenAI · 2015-2016
Postdoctoral Researcher / Associate Research Scientist
Stanford University · 2014-2015
Board memberships
Expertise & education
Expertise
Education
- PhD, Computational Neuroscience, Princeton University
- BS, Physics, University of California, San Diego
Speaking topics
Recognition
Notable achievements
- Co-founded Anthropic in 2021, raising over $7 billion in funding and establishing Claude as a leading enterprise AI model
- Led AI research at OpenAI contributing to GPT-2 and GPT-3, foundational models that catalyzed the generative AI industry
- Co-authored influential research on neural network scaling laws that shaped industry understanding of AI capability development
- Secured major strategic investment and cloud partnership with Google, accelerating Anthropic's enterprise adoption
- Testified before the U.S. Senate on AI regulation, positioning Anthropic as a leading voice in responsible AI policy
Awards
Publications
- Scaling Laws for Neural Language Models (Kaplan et al., 2020, co-author)
- Constitutional AI: Harmlessness from AI Feedback (Anthropic, 2022)
- An empirical model of large-batch training (McCandlish et al., 2018, co-author)