While eliminating some jobs, changing others and creating new ones, technological revolutions have historically resulted in a net improvement in employment, income and living standards. Is the current revolution driven by big data and artificial intelligence (AI) any different? If we go by past experience, no. But increasing and irreversible automation and labour substitutability engendered by robotics and AI suggest that traditional models of growth and development may no longer hold. The unprecedented pace and nature of this change have implications for labour markets, education systems and social organization that extend beyond the narrow question of the future of work. In this video, Joel Blit, Mai Mavinkurve and Monte McNaughton join host Rohinton Medhora to explore the many dimensions of how we organize ourselves, professionally and personally, in an era of rapid technological change that holds both promise and peril.
Sources:
Bloom, Benjamin S. 1984. “The 2 Sigma Problem: The Search for Methods of Group Instruction as Effective as One-to-One Tutoring.” Educational Researcher 13 (6): 4–16. https://web.mit.edu/5.95/readings/bloom-two-sigma.pdf.
Chui, Michael, Eric Hazan, Roger Roberts, Alex Singla, Kate Smaje, Alex Sukharevsky, Lareina Yee and Rodney Zemmel. 2023. The economic potential of generative AI: The next productivity frontier. McKinsey & Company. June. www.mckinsey.com/~/media/mckinsey/business%20functions/mckinsey%20digital/our%20insights/the%20economic%20potential%20of%20generative%20ai%20the%20next%20productivity%20frontier/the-economic-potential-of-generative-ai-the-next-productivity-frontier.pdf.
Council of Canadian Academies. 2025. The State of Science, Technology, and Innovation in Canada 2025. Ottawa, ON: Expert Panel on the State of Science, Technology, and Innovation in Canada. https://www.cca-reports.ca/reports/the-state-of-science-and-technology-and-innovation-in-canada/
IBM Institute for Business Value. 2023. Augmented work for an automated, AI-driven world. https://www.ibm.com/thought-leadership/institute-business-value/en-us/report/augmented-workforce
Manyika, James, Michael Chui, Mehdi Miremadi, Jacques Bughin, Katy George, Paul Willmott and Martin Dewhurst. 2017. A Future That Works: Automation, Employment and Productivity. McKinsey Global Institute. January.www.mckinsey.com/~/media/mckinsey/featured%20insights/digital%20disruption/harnessing%20automation%20for%20a%20future%20that%20works/mgi-a-future-that-works-full-report-updated.pdf.
Ontario’s Workforce Recovery Advisory Committee. 2022. “Ontario’s Workforce Recovery Advisory Committee: Leading the future of work in Ontario.” www.ontario.ca/page/ontarios-workforce-recovery-advisory-committee-leading-future-work-ontario
Osborne, Michael and Carl Benedikt Frey. 2013. “The Future of Employment.” Working Paper. Oxford Martin Programme on Technology and Employment. September 17. https://oms-www.files.svdcdn.com/production/downloads/academic/future-of-employment.pdf.
PwC. 2017. Sizing the prize: What’s the real value of AI for your business and how can you capitalise? www.pwc.be/en/documents/20170904-sizing-the-price-ai-analysis.pdf
