Are There Any Trade-Offs Between AI and Growing Your Population Naturally?

In this episode of the ChinaPower Podcast, we are joined by Philip O'Keefe to discuss China’s changing demographic composition and challenges the country might face as a result. He explains that China’s falling population and low birth rates are the result of decades of population control measures, including the one-child policy. Mr. O'Keefe describes that, despite the rollback of these kinds of policies and new government incentives to have children, China’s birth rate remains low due to the high cost of child rearing in the country and economic development. Looking forward, Mr. O’Keefe discusses the role that automation might play in alleviating some demographic pressures and mounting health and economic challenges China will face as its population shrinks and ages. 

Philip O'Keefe is a professor of practice at the University of New South Wales Sydney Business School and Director of the Ageing Asia Research Hub at the Australian Research Council Centre of Excellence in Population Ageing Research (CEPAR). Prior to joining CEPAR, Philip worked from 1993-2021 at the World Bank in Washington D.C., Beijing, New Delhi, Sydney, and Budapest. He worked in East Asia and Pacific, South Asia, and Eastern Europe and Central Asia regions, most recently as Practice Manager for Social Protection and Jobs for the EAP region.