Avi Goldfarb, a professor at the University of Toronto’s Rotman School of Management, explains the economics of machine learning, a branch of artificial intelligence that makes predictions. He says as prediction gets cheaper and better, machines are going to be doing more of it. That means businesses — and individual workers — need to figure out how to take advantage of the technology to stay competitive. Goldfarb is the coauthor of the book “Prediction Machines: The Simple Economics of Artificial Intelligence.”
Mihir Desai, a professor of finance at Harvard Business School, breaks down the brand-new U.S. tax law. He says it will affect everything from how corporate assets are financed to how business are structured. He predicts many individuals will lower their tax burdens by setting themselves up as corporations. And he discusses how the law shifts U.S. tax policy toward a territorial system of corporate taxes, one that will affect multinationals and national competitiveness. Finally, Desai explains what he would have done differently with the $1.5 trillion the tax cut is projected to cost.
Political economist Francis Fukuyama predicted a future when social capital would be as important as physical capital, and that only those societies with a high degree of social trust would be able to create large-scale organizations capable of competing in the new economy. Two decades later, an incredible tool is shoring up the foundations of […]