Abstract Machine intelligence is improving rapidly based on advances in big data analytics, deep learning algorithms, autonomous vehicles, internet-of-things, and continuing exponential growth in computing power (Moore’s Law). This talk addresses the nature human expertise in this context, arguing that although machine intelligence is starting to yield content that is similar to human expertise (e.g., natural language translation, Watson on Jeopardy), the way that the content is arrived at is different and therefore the ways those capabilities will continue to evolve are different.