Artificial intelligence is getting better at imitating humanity. We are getting worse at protecting it.
Every day, we hand another piece of human experience to a machine. We ask algorithms to answer our customers, generate our music, manage our conversations, and respond to our distress.
The technology is extraordinary. But I believe we are overlooking a dangerous question.
As machines become more capable of performing human tasks, are we neglecting the human capabilities that make those tasks meaningful?
I call one of those capabilities somatic intelligence (SI). It is our ability to draw on bodily signals, accumulated experience, and an internal sense of what is happening around us.
Artificial intelligence processes information and identifies patterns. Somatic intelligence helps us interpret the human consequences of what we know.
We need both, and the rush to automate is putting that balance at risk.
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Consider the conversations we now have through screens. A friend sends a message saying she is fine. Is she? The words alone cannot tell us whether she is holding back tears, masking disappointment, or genuinely feeling better.
An AI system can generate a compassionate response based on thousands of examples of human distress. It can recognize language associated with sadness and offer a plausible answer.
Yet it has never felt heartbreak, experienced grief, or watched someone’s face change as difficult news lands.
There is a difference between producing the language of empathy and experiencing the human reality behind it. That difference matters when a person is vulnerable, when a customer is angry, or when an employee is slowly losing faith in the organization they work for.
The World Health Organization’s 2025 report on social connection estimated that one in six people worldwide experiences loneliness. The report also linked social disconnection to serious physical and mental health consequences.
We should take that finding seriously as we build a world in which more of our interactions are mediated by technology. Our need for connection has not disappeared simply because communication has become easier.
Explaining Somatic Intelligence
Somatic intelligence offers a practical way to recognize what technology cannot fully interpret. I think of the body as a compass. It draws on lived experience to alert us to discomfort, tension, hesitation, or a sense that something is wrong.
These signals are not infallible, and they should not replace evidence or careful reasoning. They are information worth examining.
I might enter a meeting and notice that people have stopped making eye contact, are checking their phones, or seem disconnected from the discussion.
The agenda may be progressing perfectly. My presentation may be polished. Yet something is happening that the slides cannot explain. I need to pay attention, ask questions, and adjust my approach. That is somatic intelligence at work.
Now consider what happens when organizations ignore it.
Companies are investing heavily in AI to improve customer service, reduce costs, and accelerate responses. Those are legitimate goals.
But products are increasingly easy to compare, and customers can often find similar prices elsewhere. The quality of the human experience can be what earns their loyalty.
If a customer with a complicated problem is trapped in an automated loop, efficiency has become a poor substitute for service.
Building Efficiency, Developing Irrelevancy
The same principle applies inside the organization. Gallup's State of the Global Workplace 2026 report found that only 20 percent of employees worldwide were engaged at work in 2025.
Leaders should be asking difficult questions about how their decisions affect the people responsible for delivering results.
If frontline employees are excluded from technology decisions, they may feel disempowered, disengaged from the organization’s mission, and lose the motivation to contribute beyond the bare minimum.
One future offers a compelling possibility, where AI handles repetitive work, employees gain useful tools, customers receive faster service, and people have more time for meaningful interactions.
The other offers a daunting failure, where automated systems multiply, human support becomes harder to reach, employees feel disposable, and customers become case numbers.
We could build extraordinarily efficient organizations that leave the people inside them feeling utterly irrelevant. The answer is not to reject AI. It is to stop treating technological investment as a substitute for human development.
Humans Can Add Purpose To AI's Infrastructure
Leaders can begin with a simple discipline. Pause. Breathe. Read the room, the other person, and yourself. Notice changes in tone, body language, and engagement. Ask what those signals might mean before drawing conclusions.
These habits can improve communication, but they also require leaders to create workplaces where employees feel safe enough to tell the truth.
I would also challenge every executive team to review its AI investments monthly. Bring frontline employees into the decision-making process, especially those who use the systems and deal directly with customers.
Measure the impact on customer experience, employee engagement, and the organization’s mission alongside cost savings and response times. Then commit resources to human development in proportion to the scale of the technology investment.
AI can supply the structure. People give that structure its purpose.
The leaders who understand this will recognize that human connection is a source of competitive advantage and organizational resilience. Those who overlook it may discover that they have automated the very qualities that made their businesses worth choosing.
This quarter, audit your investments, bring your people into the room, fund their development, and make the human consequences of every major technology decision a leadership responsibility. Do not build a future that is intelligent by design and inhuman by default.
Angel Howard is an executive coach, author and creator of the proprietary ChakraMental Method. All opinions are the author’s own.