AI boosts output while shrinking everyday workplace bonds

AI boosts – Marketing leaders, researchers, and executives describe a workplace shift: tasks are increasingly handled solo with AI tools, and that convenience is cutting the small, trust-building interactions teams once relied on. Evidence from companies and coaching plat

Daniel Deceuster doesn’t have to hunt down the right person anymore. In the past, if he needed help turning a rectangular logo into a square, he’d message a designer. If he wanted a new dashboard built, he’d set up a meeting with engineers.

These days, he says, he opens Claude or ChatGPT—and often gets what he needs within seconds. “We’re getting more done than we’ve ever done before. ” says Deceuster. a marketing director at the nonprofit Zion HealthShare. Then he adds what’s harder to measure: lately, he’s been mourning what that productivity has cost.

Now that he no longer depends on his colleagues for tasks like those, he estimates he interacts with them about 50% less than before. “It’s sad to see that loss,” Deceuster says. “I’m an extrovert. I want to be engaging with people. I want that interaction.”

Across corporate America, researchers say this is becoming a widespread pattern rather than an individual preference. “People are increasingly choosing to work alone,” says Jessica Reif, an incoming professor of management at Wharton who has been studying AI’s effects on teamwork.

Signs of strain are already showing up in company data and in how workers seek support. In January, Cisco found that employees who were the most active AI users trusted their teams less than intermittent users. Cisco tied the difference to behavior: the power users were spending more time on their own and less time with their colleagues. The company concluded that “AI can unintentionally create isolation” when it’s adopted individually rather than collectively.

A different kind of signal comes from BetterUp, a coaching platform. It found that some workers were turning to AI for the kind of feedback they used to seek from mentors and managers. Those employees reported lower levels of team coordination. along with higher rates of burnout and a greater desire to leave their jobs. “We’re social animals,” says Kate Niederhoffer, BetterUp’s chief scientist. Being social is “more than fuel. It’s how we survive.”.

Deceuster’s experience is personal, but it points to a bigger shift in how work feels day to day. So much of what made jobs tolerable—sometimes meaningful—was built from the daily friction of other people: mentors and confidants. work “wives. ” and the small routines of venting. gossiping after meetings. and brainstorming solutions that can’t be done alone. Now those interactions are fading.

Reif puts it sharply: “If we aren’t thoughtful about this. we risk turning work into something that feels more isolated and atomized.” She worries teams will stop coordinating in ways that make them feel like a workplace with a shared life. Instead. she says. people will end up “combining our inputs in a way that feels more like an assembly line than a vibrant workplace.”.

That concern runs against the obvious promise of AI. Over the years, the tools of white-collar work—email, cellphones, Slack, Zoom—made collaboration easier. But AI changes the mechanics: it can give people an alternative way to accumulate knowledge that would otherwise be shared interpersonally. Reif says it offers “this option of opting out.”.

The tradeoff showed up for Reif in the most ordinary way possible: through comfort. After describing the ways office life used to require trust and vulnerability between people, she points to what AI changes. “Those interactions before required trust and demonstrating vulnerability to one another,” she says. “ChatGPT is lower friction.”.

Her worry is that friction matters because it’s where relationships deepen.

One executive offered a counterpoint from inside an AI-first workflow. Peter Pang. cofounder and chief technology officer at Creao AI. an AI agent platform. says conflict among his employees has dropped after the company overhauled its workflow so agents do most of the work. Pang says he went from spending 60% of his time managing employees to about 10%. He also argues relationships improved: “My relationships with my cofounders and also engineers are actually getting better because we don’t need to be arguing with each other all the time. ” he says. “Arguing with each other is not a very constructive way of building relationships.”.

But even that story doesn’t erase what small interactions used to accomplish. The brief moments jobs previously forced employees to have were often doing invisible work: building goodwill so disagreements don’t derail trust. and keeping people aware of what others are doing so work isn’t duplicated. Reif says AI gives “incredible velocity. ” but it doesn’t replace the “interaction and strategic alignment” needed to make sure that speed targets the right priorities.

The solutions emerging now are practical—and they start with how managers and employees choose to use these tools.

One approach is to use AI in ways that support relationships rather than replace them. Niederhoffer says some people are already doing this: asking Claude to help draft sensitive emails to a peer. or role-playing a difficult conversation they’re about to have with a prickly boss. BetterUp found that people who use AI this way have more interactions than they did a year earlier—both with their direct reports and with colleagues in other parts of the company. Niederhoffer frames it as learning “a new way to relate to people.”.

Another approach is to actively rebuild social time that day-to-day AI use can shrink. Carol-Lyn Jardine. who advises marketing executives on AI through her consultancy Clarity & Motion Collective. says she can get much of her work done without relying on her two business partners. helped by a collection of AI systems assisting her. But she still stays in touch. “If I don’t stop and talk to them about what they’re seeing with their clients. we’re not really gaining all of those insights and learnings to apply across all of our clients. ” she says. “We’re going to have to work a little harder to find those connections and to find the meaning in the relationships we have.”.

For Deceuster, the balance is already a daily discipline. He says he’s been making it a habit to walk over to colleagues’ desks to talk instead of slacking them. It has helped restore some of his social time. Still, he knows it has limits in a workplace where everyone is trying to get work done. “It’s hard because everyone’s trying to get work done,” he says. “What you don’t want to do is lose your job because you’re looked at as a distraction.”.

That’s why the responsibility may land on companies themselves, not just individual work habits. The story of corporate response after the pandemic offers a template: when firms realized how important employees’ everyday interactions were. many forced people back into the office. Others kept remote work and tried to recreate those interactions with distributed teams. They rolled out mentorship programs. flew employees in for offsites. and mandated more frequent one-on-ones between managers and employees—intentionally designing interactions that used to happen accidentally.

Deceuster sees the current AI boom as a familiar arc. He compares it to the early days of social media. when it took years to understand how isolating these platforms proved to be. especially for kids. Only later did schools, parents, and governments begin to put up protections. His question is how long it will take workplaces to adapt so they can benefit from AI’s productivity boosts without pushing workers away from each other. “We don’t even know what we’ve unleashed yet,” he says. “Or how to effectively use it.”.

That uncertainty lands harder in a society that’s already lost other shared spaces. The piece points to how communal institutions have withered—church. union halls. rotary clubs. sports leagues. malls. and movie theaters—while work stayed as one of the last routines that reliably brought people together.

If that breaks too, the cost may not be measured in output alone. Deceuster’s fear is that the workplace could become more efficient than ever—and more alone, too.

AI at work teamwork workplace isolation productivity burnout coaching platforms collaboration Cisco BetterUp Claude ChatGPT management