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The Secret Power of Being Seen (Even in an AI-Driven World)

  • Writer: Jonscott Turco
    Jonscott Turco
  • Jul 1
  • 2 min read
Robot congratulates a man on his productivity at a desk. Office workers in the background. Caption: "Recognition Module: Activated."

You’re rushing through a crowded terminal. Amid the blur, a cleaning crew member catches your eye—not because they’re wearing a cape, but because you pause. You see them. And they feel it.

 

That fleeting moment of recognition? It matters more than we think—especially at work.

 

Behavioral psychology shows that feeling noticed activates reward pathways in the brain. It meets a deep, human need for belonging and affirmation. When we’re ignored, the brain reads it not just as emotional rejection, but as real, neurological pain.

 

This isn’t a philosophical debate—it’s a performance lever. Recognition fuels engagement, unlocks innovation, and builds trust. Cultures where people feel seen outperform those where they’re treated like parts of a machine.

 

And yet, here we are, barreling into an AI-defined future where the human experience risks being diluted by automation. The challenge isn’t whether AI belongs in leadership—it does. The real question is: Are we using it to elevate our humanity—or quietly erase it?

 

This is where leadership, behavioral psychology, and artificial intelligence collide. And it’s where future-ready leaders must recalibrate.

 

Four Ways to Lead More Humanly in the Age of AI:

 

1. Use AI to surface, not replace, human noticing AI can spot patterns.

Let it identify unsung efforts, quiet wins, or unseen contributors. But the act of recognition? That should be all yours. A real, specific “I saw that—thank you” will always outshine any bot-generated badge.

 

2. Design for habits, not just dashboards.

Recognition can’t be occasional. Behavioral science tells us it thrives as a habit, not an afterthought. Use tech to nudge those habits into place. A simple prompt—“Who haven’t you acknowledged this week?”—can shift entire team dynamics.

 

3. Build inclusion into the algorithm

We naturally notice those who are vocal, visible, or similar to us. So do our systems. If we’re not intentional, AI can mirror our blind spots. Equity must be designed in—recognition systems should amplify diverse contributions, not replicate bias at scale.

 

4. Measure what matters Output metrics tell one story.

But deeper questions build stronger cultures: Do people feel seen? Do they feel safe speaking up? Tools like pulse surveys and sentiment analysis—when paired with genuine human follow-up—can change everything.

 

And let’s retire the phrase soft skills. These are human skills. The ability to empathize, notice, respond, and build trust is not ancillary—it’s strategic. Especially in a world where AI can do almost everything else.

 

“In a world increasingly driven by code, the rarest currency is still human attention. The moment someone feels seen is the moment they remember why they matter.” - Jonscott Turco

Leaders who understand this don’t just keep their teams engaged. They unlock the potential that performance metrics alone will never reveal.

 

Three questions to bring to your next leadership table:

 

  • Who on your team is still waiting to be seen?

  • How are your tools shaping what—and who—you recognize?

  • What would change if “noticing” became your leadership superpower?

 

In the end, what data can’t capture is the moment someone feels recognized—not for their output, but for their humanity.

 

And in that moment, you don’t just build performance. You build legacy.

 

 
 
 

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