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The Human Skills Revolution: What AI Can't Do

Updated: Jul 22

Psychologist Susan David, whose Emotional Agility framework I trained under and hold a certification in, has been making an argument lately that cuts against the grain of most AI commentary. While everyone else is debating whether AI will replace human jobs, David's argument points somewhere else entirely: toward what she calls the Human Skills Revolution.

Susan David's Emotional Wheel, mapping the range of human emotion beneath simple labels like happy, sad, angry, and afraid.

The Argument

David's claim is that the skills organizations will need going forward may appear in job descriptions, but they will not be built there. They come from somewhere deeper: Emotional Agility, the capacity to face hard truths with courage, stay grounded in what matters, and adapt before circumstances demand it. Her example is simple. Instead of reacting on impulse in a hard moment, a leader pauses and chooses honesty over false certainty.

On the question of what AI can and cannot do, her position is direct. AI will out-compute humans. But there are things it structurally cannot do. It cannot be present with someone in a hard conversation. It cannot sense what is unsaid in a room. It cannot choose courage under pressure.

The Economic Case

This is not a soft argument dressed up as a hard one. David points to labor-market research, including McKinsey findings that demand for social and emotional skills is surging as intelligent machines take over more physical, repetitive, and basic tasks. Capacities like emotion regulation, values-aligned responding, and compassion have historically been dismissed as soft skills. Her argument is that these capacities are what actually drive culture, engagement, leadership, innovation, and wellbeing, everything that matters to healthy people and healthy organizations.

David has also been explicit that her interest is not AI versus humans as a competition, but AI and humans together. Her broader work is about humanizing technology and using AI to help develop the capacities organizations need at scale: imagination, empathy, innovation, creativity, and emotional regulation.

Her bottom line, in her own framing: the present and future of work is human. AI is transforming industries, but the most valuable skill today is Emotional Agility, the ability to navigate complexity, drive change, and build thriving, human-centered workplaces.

Where Transition Agility™ Fits

Emotional Agility and Transition Agility™ are not the same thing, and the difference matters more now than it used to. Emotional Agility is the internal foundation David describes: the capacity to sit with discomfort, name what you actually feel, and choose your response instead of being ruled by it. Transition Agility™ is what gets built on top of that foundation: the applied capacity to actually move, decide, and act inside the change itself, not just tolerate it.

AI is compressing change cycles that used to take years into months. That means the transitions people used to face once or twice in a career are now recurring every few quarters, for everyone, at every level. Emotional Agility without Transition Agility™ leaves people calm but stuck. Transition Agility™ without Emotional Agility produces burnout dressed up as productivity. Organizations need both built together, because the pace of change happening right now does not leave room to build one and hope the other follows.

AI gives you a starting point. Humans make it better by bringing expertise, context, and history. That is David's thesis in miniature, and it is the exact reason Transition Agility™ was built as a human competency, not a technology one.

We build the architecture for what most change models skip: the human.

Sara B. McNamara, MSOD Founder, HumanWorks™ Solutions

 
 
 

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