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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?

We may live in a digital world, but soft skills like communication, problem solving, collaboration, and empathy are becoming more valued than technology, says Paul Roehrig, chief strategy officer for Cognizant Digital Business, a business and technology service provider.

“People skills are more and more important in an era where we have powerful and pervasive technology,” he says. “It sounds counterintuitive, but to beat the bot, you need to be more human.”

When evaluating their hiring plans for 2017, 62% of employers rate soft skills as very important, according to CareerBuilder. But a recent survey by the Wall Street Journal found that 89% of executives are having a difficult time finding people with these qualities.