Avi Goldfarb
Economist and expert in artificial intelligence, he is distinguished by his clarity in explaining the technological impact. He inspires to rethink the future of work and business, combining rigorous analysis and inclusive vision.
Biography / Speaker Info
Avi Goldfarb is a Canadian economist, professor, author and thought leader, recognized globally for his influential work on the digital economy and the impact of artificial intelligence (AI) on business and society. His track record is a clear example of a career that fuses academic rigor with a deep understanding of the technological forces that are reshaping the marketplace. With a focus on data, strategy and empirical analysis, Goldfarb has positioned himself as one of the most authoritative voices in the debate on the future of work and innovation.
His career in academia was cemented at the University of Toronto, where he is Professor of Marketing at the Rotman School of Management and Associate Director of the Creative Destruction Lab. In this role, Goldfarb has led cutting-edge research projects on how AI is changing the structure of markets, business decision-making and the value of information. His work focuses on the concept that AI reduces the cost of prediction, a key factor in transforming business models in a variety of industries, which demonstrates his vision.
One of Avi Goldfarb's key achievements is his ability to translate complex concepts of the digital economy into practical, actionable insights for leaders and practitioners. His most notable book, Prediction Machines: The Simple Economics of Artificial Intelligence (2018), co-written with Ajay Agrawal and Joshua Gans, has become an essential guide for those seeking to understand the economic logic behind AI. In this publication, he explores how AI and big data are transforming the world of work and how humans and machines can collaborate to create a more prosperous future.
In addition to his work in academia, Avi Goldfarb is a sought-after speaker at technology, business and political events around the world. His talks focus on the future of artificial intelligence, the economics of data, and the importance of adaptation in the digital age. His legacy is measured by his ability to popularize the AI debate and his valuable contribution to the understanding of the modern economy, leaving a footprint of knowledge and inspiring a new generation of leaders.
