Dario Amodei
Dario Amodei (born 1983) is an Italian-American artificial intelligence researcher and entrepreneur who is the co-founder and chief executive officer (CEO) of Anthropic, the AI safety company behind the Claude family of large language models. Before founding Anthropic, he served as Vice President of Research at OpenAI.
Amodei is one of the most prominent figures in the AI safety movement and is known for advocating that safety-focused organisations must operate at the frontier of AI capabilities in order to credibly influence the trajectory of the technology.
Early life and education
Dario Amodei was born in the United States to an Italian-American family. He studied physics at Princeton University, earning a Bachelor of Arts degree, and subsequently completed a PhD in computational neuroscience at Princeton, where his research focused on the application of machine learning methods to neural data analysis.[1]
Before entering the AI industry, Amodei worked briefly in computational biology and biophysics research.
Career
OpenAI (2016–2020)
Amodei joined OpenAI in 2016, shortly after its founding. He rose to the position of Vice President of Research, leading teams responsible for several of OpenAI's key research achievements during this period, including work on GPT-2 and GPT-3.[2]
Amodei was one of the co-authors of the influential 2020 paper on neural scaling laws, which demonstrated that language model performance improves predictably as a power-law function of model size, dataset size, and training compute.[3] This work became foundational to the subsequent race to build ever-larger transformer models.
During his time at OpenAI, Amodei grew increasingly concerned about the organisation's direction following its 2019 restructuring into a capped-profit entity and its deepening commercial partnership with Microsoft. He reportedly disagreed with decisions to prioritise rapid product deployment over safety research.
Founding Anthropic (2021)
In January 2021, Amodei left OpenAI along with his sister Daniela Amodei and several other researchers—including Tom Brown (lead author of the GPT-3 paper), Sam McCandlish, Jack Clark, Jared Kaplan, and Chris Olah—to found Anthropic. The company was structured as a public-benefit corporation with the stated mission of building AI systems that are "safe, beneficial, and understandable."
Under Amodei's leadership, Anthropic developed the Constitutional AI training approach, published widely on mechanistic interpretability, and released the Claude family of models beginning in late 2022. By 2025, Anthropic was considered one of the three leading frontier AI laboratories alongside OpenAI and Google DeepMind, and had raised over $10 billion in funding from investors including Amazon, Google, and Salesforce.
Views on AI
Amodei has articulated a distinctive position within the AI safety debate. He has argued that the development of highly capable AI systems is likely inevitable, and that the most effective way to ensure safe outcomes is for safety-oriented organisations to be at or near the frontier, rather than ceding that ground to less safety-conscious competitors. He has described this as a "race to the top" rather than a "race to the bottom."[4]
In his October 2024 essay "Machines of Loving Grace," Amodei outlined an optimistic vision of what powerful AI could accomplish in biology and medicine, global development, democratic governance, and scientific research, while acknowledging the serious risks that must be managed. The essay attracted widespread attention for its unusual combination of specific technical optimism with genuine concern about catastrophic risks.
Amodei has been a strong advocate for government engagement with AI safety, testifying before the United States Senate in 2023 on the potential risks and benefits of advanced AI systems. He has supported the development of AI safety standards and has called for international cooperation on frontier AI governance.
Personal life
Dario Amodei's sister, Daniela Amodei, serves as President of Anthropic. The siblings have been described as having a close working relationship, with Daniela managing the company's business operations and policy engagement while Dario focuses on research direction and technical strategy.