Automation is impacting many industries, and some workers are feeling vulnerable. Many wonder, Are robots really going to replace the majority of jobs in the future? And if so, how can I make sure my position is secure? If these insecurities sound familiar, at some point, someone has probably suggested learning to code. Practicing computer science might help a worker become more valuable in the future marketplace, but there is a more important skill workers need to learn if they want to become future-proof: computational thinking. To really be set apart from the pack, one needs to be able to break down problems in the way a machine would and come up with solutions and sequences that will work for both man and machine. This requires an intimate understanding of the complex relationship between humans and artificial intelligence and might have more to do with your soft skills than your ability to write C++. The human mind is an intricate and complex entity, and our ability to be successful in the workplace of the future will have much to do with being able to code-switch between our emotional self and our calculating self. To practice, be conscious of your emotions, but understand your capability to select your own emotional response to a situation. Also, listen to your instincts. Humans still have far more sophisticated approaches to problems than AI’s algorithms, so use your gut feelings to your benefit.