This installment will be brief because I have to finish prepping for today's TechCrunch Live with Arianna Huffington of Thrive Global and Mamoon Hamid of Kleiner Perkins. Since we scheduled the conversation, a few things have happened, so I need to retool my notes and questions. The Exchange explores startups, markets and money. Read it every morning on TechCrunch or get The Exchange newsletter every Saturday. The tech-narrative whiplash is actually what I want to talk about this morning.

A quiet revolution is taking place. In contrast to much of the press coverage of artificial intelligence, this revolution is not about the ascendance of a sentient android army. Rather, it is characterized by a steady increase in the automation of traditionally human-based decision processes throughout organizations all over the country. While advancements like AlphaGo Zero make for catchy headlines, it is fairly conventional machine learning and statistical techniques -- ordinary least squares, logistic regression, decision trees -- that are adding real value to the bottom line of many organizations. Real-world applications range from medical diagnoses and judicial sentencing to professional recruiting and resource allocation in public agencies. Is this revolution a good thing?