Between algorithms and empathy
Do we still need real coaches?
AI is Eating Software: The Evolution of Coaching
“Software is eating the world,” was the long-standing mantra in Silicon Valley. Today, that has shifted to: “AI is eating software.”
Looking at platforms like TrainingPeaks or Garmin Connect, one thing is certain: Artificial Intelligence will not just further develop the analytical side of coaching; it will completely transform the way coaching is practiced.
However, the true quality of a coach does not lie in the ability to write a good training plan. A great coach thrives on empathy, emotion, and intuition, merging these qualities with vast expertise and years of experience.
As AI evolves and reshapes the coaching landscape, the real question is:
Can AI create relationships?
Coaching is Not a Training Plan—Coaching is Trust
True coaching is far more than a sequence of training sessions. It is rooted in a relationship between the athlete and the coach. This relationship develops as the coach learns what their protégé needs to perform, while the athlete learns what the coach requires to guide them optimally. The great advantage for the athlete is the ability to delegate responsibility, allowing them to focus on the essentials: the training itself.
Of course, the precise execution of prescriptions—the right session at the right time—is essential. The goal remains the management of load and recovery for maximum performance. But there are many paths to get there. If there were a single, perfect recipe, we would all simply copy the training plans of Olympic champions. Fortunately, that recipe doesn't exist, and this is exactly where the potential lies for both AI and the human coach.
The Strength of AI: The Expert for Detail
Artificial Intelligence can analyze, process, and understand volumes of data that would cause a human brain to surrender. It recognizes patterns in metrics such as Heart Rate Variability (HRV), sleep, training load, and many more. In milliseconds, it combines these with the entirety of available sports science knowledge.
AI is the perfect objective expert for physiological detail.
The Strength of Humans: Understanding the "Construct"
A human coach, on the other hand, understands the athlete as a whole. Their strength lies in empathy for the "human construct"—for thoughts, emotions, and the unpredictable turns of life. They combine this with sports science knowledge and, ideally, years of practical experience.
Trust is a Matter of Personality
How is trust built? Just as there are many paths to Olympic victory, people have different needs when it comes to establishing trust.
Athlete Type A: Sees training as receiving and executing orders in the service of maximum performance. For them, pain is "weakness leaving the body," and hard work is the currency that matters. They need clear instructions and love it when objective data confirms them. Such an athlete would likely feel very comfortable with a coach like Felix Magath, building trust and delivering results.
Athlete Type B: Is sensitive; competition often means pressure. They don't see opponents as enemies, but as fellow competitors. For them, optimal performance is not the sole goal, but a product of the process. They need encouragement, psychological guidance, and a human safety net. They would likely flourish under a coach like Jürgen Klopp.
These are exaggerated examples, but they illustrate that different personalities require different types of human coaches. The better a coach is, the more personality types they can adapt to.
Currently, the great strength of AI lies in pattern recognition, where it already outperforms the human brain. The next big challenge will be building trust through interaction. AI will reach this level of trust at different speeds for different personalities. Whether it can achieve it for everyone remains to be seen.
The Science of Trust: The Context Factor
Science supports the importance of trust. It is proven that the psychological component influences the physiological effect—similar to the placebo effect in medicine. A central concept here is the "Contextual Factor."
"An athlete’s belief in the effectiveness of a training method can significantly influence the physiological response to it. If trust in the coach or the system is lacking, performance often falls short of expectations." (Cf. Beedie et al., 2015, on the placebo effect in sports).
Put simply: training works better when the athlete is firmly convinced it is the right thing for them—regardless of whether it is objectively the "perfect" recipe.
Conclusion: Not Displacement, but a New Target Group
From our perspective, the question is not whether AI will replace human coaching, but rather:
How much can AI coaching replace, and for whom is it suitable?
Data plays an enormous role, especially in endurance sports. For many, AI will provide "very good" coaching—efficient, available 24/7, and more data-accurate than any human, all at a fraction of the cost.
AI Coaching reaches those who value autonomy, seek efficiency and precision, and possess high intrinsic motivation. It is the perfect choice for the data-driven, independent athlete.
Human Coaching remains indispensable for those who need to be "seen," who value dialogue and emotional support to push beyond their limits, and who are willing to invest in an exclusive interpersonal relationship.
Ultimately, coaching is an individual journey. Whether you embark on it with a digital compass or an experienced mountain guide remains a question of personality. Both lead to the summit.