Key Takeaways

  • AI tools are increasingly used in athlete mental health and performance support
  • AI can assist with self-reflection, emotional regulation, and psychoeducation
  • AI is not a replacement for trauma-informed therapy or EMDR
  • Risks include misinterpretation, dependency, and lack of clinical judgment
  • Healing, especially from trauma, still requires felt safety and human connection

The Rise of AI in Athlete Mental Health

AI is everywhere—just look around—and the sports world is no exception.

Last night, my son asked his AI assistant (now with a real name) a question as our family stood around the fireplace, sharing ideas and debating a topic. The voice on his phone was smooth, warm, and likable. It struck me as human.

In recent months, I’ve also had more athletes and clients report using AI tools between sessions—to help process thoughts and emotions, gain insight, set goals, or support self-care practices such as prioritizing sleep or navigating a medical condition that is affecting their mental health.

AI is no longer limited to tracking stats, game film, or training data. It is increasingly shaping how athletes manage stress, pressure, emotional regulation, and recovery. As AI becomes more embedded in performance psychology and mental wellness, athletes, coaches, and clinicians must understand both its benefits and limitations.

The Appeal of AI for Athletes

Emerging AI platforms are now designed specifically to support athletes’ mental performance and well-being. Some universities are even funding AI-based mentorship tools that include mental health components for student-athletes.

Feedback I continue to hear from clients and read about is that AI is nonjudgmental, accessible, and always available. It offers immediate support without the vulnerability of human interaction. Common uses include:

  • Goal setting and habit formation
  • Visualization and mental rehearsal scripts
  • Breathwork and mindfulness exercises
  • Emotional regulation and confidence support

AI can also assist with psychoeducation by translating complex mental health concepts into plain language, visuals, or bullet points. Used appropriately, it can complement therapy by reinforcing learning between sessions and supporting self-awareness outside the clinical space.

The Risks We Can’t Ignore

Despite its appeal, AI use in athlete mental health carries real risks.

AI may sound like a therapist—but it is not one. It lacks licensure, ethical accountability, clinical judgment, and supervision. In high-stress or emotionally vulnerable moments, athletes may trust AI more than is appropriate.

AI can unintentionally:

  • Reinforce distorted thinking
  • Oversimplify complex emotional experiences
  • Validate symptoms without proper context
  • Miss warning signs related to dissociation, psychosis, or suicidal ideation or even reenforce symptoms that might increase risk factors

It may also fail to grasp the nuances of sport culture, identity, trauma history, and relational dynamics, increasing internal pressure rather than reducing it. Privacy and data security are another area to consider.

From a trauma-informed perspective, other key questions arise:
Does AI promote healthy support—or does it create dependency and encourage avoidance over resilience and possibly delay an athlete getting connected to professional help at times? As therapist we want to work ourselves out of a job when offering performance enhancement, trauma treatment and other mental health tools.  Does AI have the same ethic and goal or is there a design algorithm to continue to seek higher levels of engagement?

A Trauma-Informed Perspective

As a trauma therapist, I understand that the nervous system is always scanning for safety and connection. Healing occurs through felt safety and, most often, through human relationships.

And yet, I stay curious.

When there was been attachment trauma and often the relationships that were meant to be safe early in life instead led to pain, terror, confusion protective adaptions are used for safety.  Some of the most courageous people start their healing with connection to an animal, nature and now I wonder AI to learn to trust and open themselves up again.  I hope this bridge of connection leads back to human connection.  This is what I have seen in my practice, as deeply traumatic experiences are reprocessed and integrated and no longer frozen the nervous system- the human nervous system connects to another human in safety and connection.

AI may sometimes serve as a bridge, offering a first step toward reflection for those not yet ready to trust another human. In my work providing EMDR Intensives for athletes, coaches, and high-performing leaders, I see that once traumatic experiences are safely reprocessed and integrated, clients naturally move toward deeper and healthier human connections.

Keeping Humans in the Loop

The essential question becomes:

  • Can AI support reflection and nervous system regulation while still guiding athletes back to human connection?
  • Are athletes openly sharing how they use AI—with therapists, coaches, teammates, or trusted supports?
  • Are we integrating AI ethically, without replacing trauma-informed care?

Back in my living room, my teenage son used AI to support his argument—but the conversation still happened within a human relationship. He was challenged, supported, and held by people who know him.

As we integrate AI into athlete mental health and performance psychology, let’s keep the conversation grounded in trauma-informed care, ethical responsibility, and human connection.

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