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Daniel Rock is an Assistant Professor in the Department of Operations, Information, and Decisions at the Wharton School, University of Pennsylvania. He is an affiliated faculty member at Wharton AI for Business and a Digital Fellow at both the MIT Initiative on the Digital Economy and the Stanford HAI Digital Economy Lab, reflecting his leadership in the economics of digital transformation.
Education:
- B.S., Wharton School, University of Pennsylvania
- M.S. and Ph.D., Massachusetts Institute of Technology (MIT)
His research focuses on the economic impact of digital technologies, particularly artificial intelligence, automation, productivity, and intangible capital. He investigates how investments in AI, data, and technological talent reshape firm competitiveness and labor markets. His work applies advanced data science to large-scale datasets from LinkedIn, job postings, financial markets, and surveys.
The recent publications and working papers show a consistent focus on the productivity paradox of AI, labor market exposure to machine learning and large language models, the role of intangible capital in economic growth, and the strategic use of information in digital business models. These works span disciplines including economics, information systems, labor studies, and management.
Scientific Awards and Recognitions:
- Digital Fellow, MIT Initiative on the Digital Economy
- Digital Fellow, Stanford HAI Digital Economy Lab
Daniel Rock has advised or mentored students through Wharton’s undergraduate and MBA programs, particularly in courses related to AI, information strategy, and operations. His research has been supported by collaborations with leading scholars such as Erik Brynjolfsson and has influenced public discourse through media features in The New York Times, Wall Street Journal, Bloomberg, and Harvard Business Review. He has also contributed to policy discussions via publications with the MIT Work of the Future Task Force and the Hoover Institution.
He is actively involved in research labs and initiatives focused on the digital economy, including Wharton AI for Business, and contributes to advancing methodologies in measuring technology’s economic impact. His future work is likely to continue exploring the intersection of AI, labor, and firm performance in the evolving digital economy.
