In recent years, artificial intelligence and machine learning technologies have developed at breakneck speed. Today, you find them across the economy doing everything from underwriting risk for new loans to language translation and helping diagnose cancer. Not only can machine learning systems do these tasks successfully, they usually do them an order of magnitude better than humans. When Google's AlphaGo system beat the world champion Lee Sedol at Go -- a notoriously difficult Eastern Asian game -- it seemed like a tipping point had been reached and the floodgates for AI advancement were about to open. At face value it looks like the possible applications of machine learning and AI are endless and that it is only a matter of time before someone builds a machine learning system capable of doing a given task previously done by a human significantly better than a human.