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Automation isn’t a simple struggle between people and technology, with the two sides competing for jobs. The more we rely on robots, artificial intelligence (AI), and machine learning, the clearer it’s become just how much we need social scientists and humanities experts–not the reverse.

These four skills in particular are all unique to us humans, and will arguably rise in value in the coming years, as more and more companies realize they need the best of both worlds to unleash the potential from both humans and machines.

AI and machine learning are extremely useful for solving straightforward, predictable problems and finding patterns no human would ever be able to spot in big data pools. But they’re less helpful in sussing out issues where it’s not a given what the problem actually consists of.

Say a patient gradually stops taking her medication, and an algorithm picks up on that fall-off early on. That’s great, but you still need a human being to ask why and contextualize the reasons–with a full understanding of what it means to live with chronic illness. For instance, is the patient simply forgetting to take her medication, or actively choosing not to? Is there an alternative remedy that suits the patient’s priorities and lifestyle?

You’re halfway through your talk, and so far it’s going great. You feel confident, and your audience seems to be responding. Then, out of nowhere, your mind goes blank. Crickets. Tumbleweeds. The crushingly dark, noiseless void of outer space itself.

“What was I going to say here? Oh my God, I’m blowing it!”

If you’ve been in this situation, you know how awful that feeling can be–and how hard it is to shake off and regain your footing. So what can you do to prevent these mental wipeouts from happening in the first place? A few things, in turns out...