They should not solely rely on AI, but instead use AI to gain some insight and ideas.

The balance between AI and human intuition in coaching is a nuanced topic. AI can be a valuable tool for performance analysis and tactical decisions, providing coaches with data-driven insights, patterns, and trends that might not be immediately obvious through observation alone. For example, AI can analyze player performance, opposition strengths and weaknesses, and even predict the likely outcomes of certain tactics in real-time. This can certainly give coaches an edge...

Rather of depending only on AI, coaches should utilize it as a supplemental tool. AI improves tactical decision-making and performance assessment by offering data-driven insights and objective analysis. It shouldn't, however, take the place of a coach's human dynamics knowledge, experience, and intuition—all of which are essential for making wise decisions. A well-rounded strategy maintains the invaluable human component of teaching while guaranteeing the advantages of AI.

To address your question, I have get some points with reviewing several articles. According to them, AI can significantly enhance the capabilities of coaches in sports by supporting in performance analysis, injury prediction, tactical and real time decision making in coaching, and talent identification to create modern learning environments for sports students (Choustoulakis and Pastelakos, 2024; Pisaniello, 2024).

However, some of potential challenges have been recognized by pervious scholars such as data privacy and the risk of becoming overly reliant on technology as causes to arise ethical issues of using AI in coaching (Choustoulakis and Pastelakos, 2024). In addition to that, students' collaborative engagement and self-directed learning, and the possible impact on coaches' critical thinking skills and situational strategies can be negatively impacted as a result of the overly reliant on AI advancements.

To ensure ethical adaptation with AI technologies in coaching, coaches should maintain a proper balance between AI insights and their own expertise because this approach will enable them to adapt to emerging technologies, leveraging their advantages while preserving the value of their experience and knowledge, thus avoiding any obsolescence in the technology-driven era (Mateus et al., 2024).

References

Choustoulakis, E., & Pastelakos, E. (2024). AI-DRIVEN ANALYSIS OF GAME TACTICS AND PLAYER PERFORMANCE. ICERI Proceedings, 1, 3350–3359. https://doi.org/10.21125/iceri.2024.0871

Mateus, N., Abade, E., Coutinho, D., Gómez, M., Peñas, C. L., & Sampaio, J. (2024). Empowering the Sports Scientist with Artificial Intelligence in Training, Performance, and Health Management. Sensors, 25(1), 139. https://doi.org/10.3390/s25010139

Pisaniello, A. (2024). The Game Changer: How Artificial Intelligence is Transforming Sports Performance and Strategy. Geopolitical, Social Security and Freedom Journal, 7(1), 75–84. https://doi.org/10.2478/gssfj-2024-0006

نحن ككادر بشري لانعتمد على الخوارزميات لالغاء الذات في التحليل، وانما مجرد نمط مساعد للتحليل لان اتخاذ القرارات التكتيكية يلزمنا؛ أن نكون على أدراك ووعي معين بنوع هذا الاداء وبالتلي الذكاء الاصطناعي نوع من التسهيل في العملية مع انه يتم مراجعة نتائجه التي في غالب الاحيان لاتكون دقيقة خاصة في الجانب الكيفي.

I think the great mistake with AI is not to see it as an aide where the person using it uses it to control rather than complete subjugation and control handed over to AI. In the end I think it is important for a human to interpret the data that AI gives them it should in my mind be an enhancment and a tool like an Xray machine etc,.

The use of AI to assist in research should only be done in the area of ​​finding references, but the analysis and discussion of results must be done by the researchers.

Maybe we have it the wrong way around!

The core role of the coach is to help the coachee find their own answers, so maybe it is the coachee who should be using AI as an aid.

If the coach is actually performing as a mentor, then the mentor is depending on their experience to give advice. This does not need AI but the mentee get get value by using it as an aid.

Intuitions and experiences are unique to each coach and the environment also differ. AI cannot predict performance analysis and tactical decisions without accommodation for errors. But AI can be used to track tactical performances for strategic decision-making.

Coaches should use AI as a complementary tool rather than a replacement for intuition and experience. AI offers data-driven insights, pattern recognition, and performance optimization, but:

A hybrid approach leverages the strengths of both AI and human insight.

Ali Naji Jabri

AI can be a powerful tool for coaches, offering objective data, performance metrics, and pattern recognition that would be difficult to capture through human observation alone. When used effectively, AI enhances tactical decision-making, identifies player tendencies, and supports performance analysis with greater precision and speed. It doesn't have to replace intuition, but rather serve as a complement.

However, overreliance on AI can risk diminishing a coach's situational awareness and emotional intelligence. Coaching is as much about relationships, trust, and motivation as it is about statistics. Intuition, developed through years of experience, helps coaches read the energy of a game, sense momentum shifts, and adapt to player dynamics—factors that may not always be quantifiable.

The most effective coaches will likely be those who embrace AI as a strategic assistant while still trusting their human instincts. By integrating data with experience, they can refine their judgment rather than outsource it. The future lies not in choosing between AI and intuition, but in knowing when and how to use both.

AI can certainly compliment and support with data analysis for sound decision making. It should not, however, substitute human mind.

Best Practices: Blending AI with Human Expertise

1) Use AI as a Tool, Not a Replacement: AI should serve as an extra set of eyes, flagging potential issues and opportunities but not overruling the coach's judgment.

2) Develop New Hybrid Roles: Future coaching is expected to blend data science with mentorship, possibly creating roles like "AI Performance Director" to help interpret AI insights within the broader context of team dynamics and individual needs.

3) Continuous Learning: Coaches should continue to hone their observational and intuitive skills, using AI-generated insights as supplements, not substitutes, for their own understanding of players and the game.

Conclusion

AI enhances performance analysis and tactical planning, but it cannot replace a coach’s intuition, creativity, and human connection. The best outcomes are achieved when coaches intelligently combine data-driven insights with their own expertise, ensuring that technology supports—but never overshadows—the irreplaceable human element of coaching.