Every leader I spoke to after the holidays said the same thing. "How are your people?" Pause. "Fine." Then, quieter: "Actually, struggling."
Depression. Burnout. Disengagement. You can feel it in every delayed response, every conversation that used to flow easily but now feels like navigating a minefield. The statistics are staggering, but you don't need data to see it. You can feel it in every team meeting where nobody speaks first, every Slack thread that goes unanswered, every one-on-one where the real issues never surface.
And while people are barely holding it together, we're being told the future of work is AI. More automation. More efficiency. More tools to help us do more, faster.
But how are we supposed to work if we can barely function?
Here's what I've been tracking across 20 years of research and over 150,000 employees: we've spent the last five years systematically eliminating friction from our lives. Disagree with someone? Ghost them. Conversation getting uncomfortable? Disengage. Relationship requires work? Distance. Opinion creates tension? Ostracize.
We've trained ourselves out of friction. And in doing so, we've lost the capacity to move through it.
Think about what that actually means in practice. A team member sees a problem with the project direction but stays quiet because speaking up feels too risky. A manager notices someone struggling but doesn't intervene because it might be awkward. An executive knows the strategy isn't working but doubles down because admitting uncertainty would signal weakness.
Silence. Distance. Avoidance. All in service of eliminating friction.
The cost? $438 billion annually in lost productivity, engagement, speed, and innovation.
That matters because every AI investment your organization makes rests on a hidden assumption: that the humans working alongside it are operating at full cognitive capacity. The research says most aren't. It's like installing a high-performance engine in a car with a cracked frame. Sure, it'll go faster. But it's going to fall apart in the process.
The real question isn't whether your team can learn to use AI. Studies show that anyone who is willing can learn. The real question is whether they have the capacity to navigate what happens when the AI doesn't work. When the pilot fails. When someone needs to say "this isn't right" in a room full of people who've already committed. When silence costs millions because intervention was removed as an option.
That requires moving through friction. And we've optimized that capacity away.
The solution isn't more technology. It's rebuilding the infrastructure that allows humans to navigate difficulty together. That infrastructure is belonging. Not belonging as warm feelings or inclusion initiatives. Belonging as the neuroscience-backed conditions that regulate our nervous systems so we can engage with conflict, hold tension, and come out stronger on the other side.
My research has identified five specific indicators that make this possible: Comfort, Connection, Contribution, Psychological Safety, and Wellbeing. When these conditions are present, people experience engagement, innovation, and retention despite friction. Not in the absence of it. Through it.
We're at an inflection point. One path keeps us compartmentalizing people from problems, avoiding friction, and investing in AI tools while ignoring human capacity. The other path requires rebuilding what we've dismantled. It requires investing in belonging infrastructure before investing in AI infrastructure.
Technology changes what we do. Belonging changes how we navigate that change together. And right now, we're not navigating. We're fracturing.
Read the full article, including the neuroscience research and citations, on my Substack: https://andreadcarter.substack.com/p/we-optimized-away-the-one-thing-that
Andrea Carter is an organizational scientist, keynote speaker, and creator of the Belonging First Methodology™. Her research spans 20 years and over 150,000 employees across 8 industries.
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