Human Skills Are the Real Advantage in the AI Age

I recently read David Schonthal's Inc. article about the value of human skills in the AI age. It expresses something I see repeatedly in business and coaching: the technology is often the easy part. The difficult part is helping people trust a change, understand what it means for them and take the first step.

AI can analyse data, compare options and produce a polished implementation plan. None of that guarantees that a team will use the new system, that a customer will believe the promise or that a person will feel ready to change direction. A plan only becomes valuable when human beings can act on it.

The article's central idea

Schonthal argues that what organisations call soft skills are actually structured capabilities. Leadership, persuasion and influence have often been treated as secondary to finance, engineering or analytics. AI is changing that hierarchy. As technical output becomes easier to produce, the ability to move an idea through a human system becomes more valuable.

The article points to the high failure rate of digital transformation programmes. The software may work exactly as intended while the wider change still disappoints. Habits, incentives, identity, status and trust decide whether people adopt something new.

Four kinds of friction

The most useful part of the article for me is its explanation of Friction Theory, developed by Schonthal and Loran Nordgren. Instead of assuming that people need a stronger sales pitch, the framework asks what is holding them in place.

Inertia is the pull of what is already familiar. A current process may be inefficient, but people know how to survive inside it. A new process removes that certainty.

Effort is the real or perceived work involved in changing. If the first step is unclear, if training feels abstract or if there are too many decisions, adoption slows down.

Emotion includes the fear, embarrassment or loss that a change may trigger. An employee may worry that AI makes their expertise less valuable. A manager may worry about losing authority. Those concerns do not disappear because a slide deck says the new tool is efficient.

Reactance is the resistance that appears when people feel that change is being done to them. The harder someone pushes, the more strongly another person may protect their freedom to say no.

All four forms of friction are understandable. Treating them as laziness or negativity usually creates even more resistance.

What this means for AI-first work

I use ChatGPT and OpenAI products in my own business, and I am convinced that these tools can be genuinely useful. But usefulness depends on how the change is introduced. Telling a team to become AI-first is not a strategy. It is a slogan until people can connect the tools to real work and see what remains under their control.

I would begin with a specific problem rather than a broad demand. Which repetitive task is taking time? Which decision lacks good information? Where does a person already feel curious? A small successful experiment reduces effort and makes the unfamiliar more familiar.

I would also involve the people affected by the change. Ask what they are worried about, what they do not want to lose and what a responsible use of AI would look like in their role. This is not slowing transformation down. It is the work that allows transformation to move.

A practical reflection

If you are trying to introduce AI at work, build a new business or make a personal career change, ask yourself four questions. What feels too familiar to leave? What makes the next step look difficult? What might I or someone else feel we could lose? Where does the change feel imposed rather than chosen?

Those questions are more useful than asking how to make the argument louder. They help you identify what must become easier, safer, clearer or more collaborative.

My take

I agree with the article's main conclusion. Human skills are not the decorative layer around serious work. They are a large part of the serious work. AI will make analysis and production faster, but it will not remove the need for judgement, empathy, courage, negotiation and trust.

For anyone worried about staying valuable in an AI-first workplace, this is encouraging. You do need to learn how the tools work. You also need to become better at understanding people, including yourself. That combination is difficult to automate and extremely useful.

I recommend reading David Schonthal's original Inc. article: The Most Valuable Skill in the AI Age Can't Be Automated.