Protecting Mental Health in the Age of AI
AI can make work better—streamlining tasks, speeding workflows, and freeing people to solve problems, imagine new possibilities, and connect with each other.
But that’s not always the reality employees experience. Instead of feeling freed up, many are stretched thin, anxious about new expectations, and uncertain about their roles. What should feel like progress can easily turn into another source of pressure.
AI isn’t creating challenges—it’s revealing them
The disconnect isn’t about the technology itself. AI highlights problems that already exist: unclear responsibilities, heavy workloads, and limited connection. In these environments, AI doesn’t fix the issues—it shines a light on them. And when employees are already stressed or overloaded, the promise of AI stalls before it even starts.
#1 Shifting work adds new mental demands
AI changes how work flows, who owns what, and where people fit. Employees juggle more cognitive tasks like switching between tools, reviewing AI output, and adjusting to evolving roles. Without clarity and support, this constant adjustment can quietly drain energy.
#2 Pace and expectations increase faster than people can
Boundaries blur as tasks shift between humans and AI. Employees spend time editing and checking AI-generated work, fragmenting their day and reducing deep focus. Early adopters feel this most: as efficiency improves, expectations rise, turning helpful tools into a new performance baseline.
#3 Feeling of control shrinks
When employees are unsure how AI affects their roles—or feel monitored by algorithms—their sense of agency drops. Even small changes in workflow can feel overwhelming if people aren’t given context, guidance, or room to adapt.
#4 Connection can weaken
As interactions move from humans to tools, trust-building, context sharing, and informal learning start to fade. These everyday touchpoints are small but essential for collaboration, engagement, and well-being.
#5 Meaning and purpose can feel harder to find
Some employees wonder whether the strengths they bring—judgment, creativity, empathy—still matter. Purpose is a key protector of mental well-being. When people feel their contributions are less meaningful, strain grows.
#6 Rising stress can lead to burnout
Burnout isn’t about laziness or lack of motivation. It’s a clinical condition marked by exhaustion, detachment, and declining confidence. Shifting roles, faster pace, constant context switching, and unrealistic expectations all increase the risk.
Self-care reminders and wellness perks don’t solve this—they’re like mopping the floor while the roof leaks. Burnout signals that work structures need attention, not that people are failing.
None of these challenges reflects resistance to innovation. They’re natural human responses to major change.
Leaders can make AI adoption humane and effective
The challenges AI highlights are opportunities. A growing number of countries now require employers to mitigate mental health risks at work. But even without regulation, the need is clear. Employees want transparency about how AI will affect their roles, what the organization knows, and what’s still uncertain. Without this clarity, fear slows adoption.
Trust grows when leaders communicate early, explain decisions, and treat employees as partners, not passive recipients.
What human-centered AI adoption looks like
AI can support work, but only when rollouts consider how humans think, feel, and function. Here are four ways leaders can act with clarity, connection, and care:
#1 Build AI with people, not around them
Change sticks when employees help shape it. Invite people to discuss where AI helps and how it can support goals.
Clarity matters: employees need to know what they still own and how success will be measured. These conversations aren’t one-and-done—they’re ongoing checkpoints that help people stay grounded as work evolves.
Purpose also plays a part. People want to understand how their contributions matter in a future where tools are changing quickly. Naming human strengths AI can’t replace, like judgment, empathy, creativity, and relationships, anchors people in their value.
#2 Protect space for deep thinking
AI can make work more efficient, but not every saved minute should mean more output. People need time for strategy, problem-solving, and creativity. These are the activities that give work meaning and drive long-term innovation, yet they’re often the first things squeezed when pace pressures rise.
Protecting cognitive space isn’t just kind; it’s essential for thoughtful work.
#3 Keep connection at the center
Human interaction is still a strong predictor of engagement, retention, and resilience.
Encourage teams to share learnings, troubleshoot together, and explain the reasoning behind AI outputs. Every so often, step away from the tools and brainstorm together as humans. Then bring AI back in to execute.
These small actions keep collaboration alive and prevent isolation.
#4 Equip managers to lead through uncertainty
Managers carry much of the emotional load of AI adoption. They’re answering the hard questions, absorbing the uncertainty, and helping teams adapt in real time. But most aren’t trained for the psychological side of change, only the technical steps.
They need tools to understand what their teams are feeling, discuss fear or motivation, and spot early signs of overload. Transparency is key: clear communication about role shifts and reskilling opportunities reduces anxiety and increases engagement.
Empowered teams are a competitive edge
Organizations face a choice. They can pursue AI-led efficiency without addressing the people using it—or they can design work in a way that protects well-being, strengthens trust, and enables employees to use it effectively. The full promise of AI efficiency is only realized when employees feel confident, supported, and willing to engage with the tools.
The companies that thrive will be the ones that adopt AI without losing sight of the people behind the work. The future of work isn’t speed versus humanity. It's ensuring they rise together.
Support your people through change
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Author
Joe Grasso, PhD
VP of Workforce Transformation
Dr. Grasso is the VP of workforce transformation at Lyra Health and a clinical psychologist by training. At Lyra, he consults with employers on programs, policies, and communication strategy to support mental health in the workplace, and leads the development and delivery of Lyra's educational content on psychological wellness and behavior change. Prior to joining Lyra, Dr. Grasso managed the implementation of a national training program for more than 1,500 mental health providers at the U.S. Department of Veterans Affairs, where he also led quality improvement initiatives and conducted health services research. His peer-reviewed research spans topics including integrated health care, psychotherapy outcomes, and the intersection of social identities and mental health.