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“Companies must invest in training employees to collaborate with AI tools, seeing them as partners that enhance their capabilities, not replacements. The goal is to elevate human potential, not just automate existing jobs.”


— Erik Brynjolfsson Professor and Senior Fellow Stanford Institute for Human-Centered AI


technologies — and how these tools are more likely to augment workers than replace them. His insights draw from more than three decades of published research into the ways information technologies reshape industries and enhance productivity. By understanding Brynjolfsson’s background and perspective, especially on rapidly evolving tools like large language models, conference attendees will be better equipped to engage with his presentation and apply its lessons to their own businesses.


Putting Research into Action


SESSION INFORMATION SPECIAL GUEST PRESENTATION THE DIGITAL ECONOMY, AI AND THE FUTURE OF THE WORKFORCE SEPT. 12, 10:00-11:00 a.m. MDT


Erik Brynjolfsson Professor and Senior Fellow Stanford Institute for Human-Centered AI


SPONSORED BY


Brynjolfsson caught the attention of business executives in the early 1990s when he became one of the fi rst researchers to measure the productivity contributions of information technology. He has since penned more than 100 academic articles on a range of topics such as digital commerce, bundling and pricing models and the “long tail” — a business strategy where companies fi nd success selling low volumes of highly-desirable niche items. That work led him to being named the Jerry Yang and Akiko Yamazaki professor and senior fellow at the Stanford Institute for Human-Centered AI and the director of the Stanford Digital Economy Lab. Among his many other accomplishments, he is a research associate at the National Bureau of Economic Research and author of nine books, including The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies and Machine, Platform, Crowd: Harnessing Our Digital Future. Brynjolfsson’s work extends beyond academic theory. He is one of the co-founders of Workhelix, a group that uses advanced research and data analysis to evaluate the potential of generative AI within businesses. Workhelix’s offerings include a software platform that enables businesses to track the progress of their AI projects and monitor key adoption metrics. The organization also emphasizes the importance of measuring the actual performance boost resulting from AI investments, employing data science, economics and machine learning methodologies to provide reliable insights into the benefi ts and areas for improvement in AI deployments. Through Workhelix and his work at Stanford, Brynjolfsson helps businesses implement AI solutions and redefi ne their strategies while offering a balanced


20 FEDA News & Views


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