A licensed therapist specializing in high-performers in Silicon Valley reports that 99% of clients cite burnout as their biggest challenge, with a growing subset experiencing AI-related burnout driven by the inability to disconnect from always-on productivity tools.
Nick Sanchez, a licensed marriage and family therapist based in the San Francisco Bay Area, says his caseload of 18 to 20 clients weekly—primarily executives, founders, and tech leaders—are struggling with attention fragmentation and burnout exacerbated by AI tools that enable continuous deep work across multiple projects. Unlike traditional burnout, Sanchez notes that AI burnout stems from the lack of natural pauses in work, as AI systems operate without inherent limits.
Sanchez, who also serves as the founder and clinical director of Sage Therapy SF, describes burnout as resembling dysthymia—a low-grade depression—where clients lose joy in activities they once enjoyed and struggle to maintain motivation. He highlights a case where a client could not physically enter their office, illustrating the severity of burnout’s impact on performance and well-being.
Exposure therapy and self-care strategies are central to Sanchez’s approach. He emphasizes that simply telling high-performers to work less is ineffective, as they seek to work smarter, not less. Instead, he uses exposure therapy techniques to help clients rebuild self-care routines and manage burnout when it resurfaces. The goal is to demonstrate that taking breaks can enhance long-term productivity rather than hinder it.
Sanchez acknowledges that burnout manifests in varying intensities, from reduced motivation to complete disengagement from work. His clients, who previously thrived in high-pressure environments, now report difficulty sustaining focus and a diminished sense of accomplishment. The therapist’s own experience with AI burnout underscores the urgency of addressing this issue, as even professionals in mental health are not immune to its effects.
While Sanchez’s insights focus on individual coping mechanisms, the broader implications of AI-driven burnout extend beyond personal well-being. The tech industry’s reliance on AI tools for productivity raises questions about systemic changes needed to prevent widespread exhaustion among high-performers. As AI continues to integrate into workflows, the challenge of setting boundaries between work and rest becomes increasingly critical for maintaining mental health in high-stakes environments.