Rafael Patron
Founder of Antropic. Chair of the Scientific-Technical Committee of AIPIA, the Italian association of AI professionals. Lecturer, author, counsel to senior leadership.
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Chair of the Scientific-Technical Committee of AIPIA
The Italian association of AI professionals.
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Lecturer in Artificial Intelligence
University of Florence and IED Milan.
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AI Program Manager
Intarget DMCC, Dubai.
Rafael Patron has worked in digital for over twenty years. He came through the era of data-driven marketing and growth, then concentrated his research and professional practice on a single object: the impact of artificial intelligence on the decisions of those who run organisations.
He chairs the Scientific-Technical Committee of AIPIA, the Italian association of AI professionals, with which he has contributed to dozens of public events and to the training of hundreds of practitioners. He lectures in artificial intelligence at the University of Florence and at IED Milan — the Istituto Europeo di Design — bringing to the classroom the view of someone who works alongside boards every day.
His training joins economics and technology: a degree in business administration from the University of Genoa, Harvard's CS50 AI course, Bocconi's blockchain programme and the MIT Professional Education pathways on agentic systems. He is among the declared signatories of the European Commission's European AI Alliance and of the Rome Call for AI Ethics.
He has written three books, published in Italian. AIO — Il tuo prossimo collega è un robot examines the shift from searches to answers and its consequences for work and markets. Fatti trovare da ChatGPT, written with AIPIA and Filippo Fassone, is the first Italian book dedicated to LLMO, the discipline that tends a brand's presence in the answers of language models. Growth Hacking belongs to the earlier season of his career and sets out the method behind sustainable growth.
From that trajectory comes Antropic: an independent European institute with Italian roots, joining research, advisory and executive education under a single lens — human decisions in the post-automation era.
One lens, four directions.
Post-automation era
What remains human when execution becomes automatic: decision, direction, accountability.
AI governance
Roles, policies and human oversight, across the UK's principles-based approach and the EU AI Act.
Reputation in generative engines
How AI systems describe companies and people, and how to keep watch over that representation.
Future of work
Skills, human capital and organisations through the transition under way.