Paul Forrest writes all of the articles, guides, and papers on this site. Currently completing the Advanced Talent Coach Award and finalising a PhD in Elite Performance Coaching, he is a practising athletics and IRONMAN coach and the founder of Athleet.Ai: Head of Coaching at Brentwood Beagles Athletics Club, which he co-founded in 2022, and Head of Track and Field at US Sports Scholarships. Since 2022, he has coached athletes to more than 400 county, regional, national and international medals, including more than 20 U16/U18 international podiums.
He is also Adjunct Professor of AI at the London School of Innovation, so he writes about coaching and about artificial intelligence from practice in both.
Paul Forrest on LinkedIn · Google Scholar profile
Coaching qualifications
- England Athletics Performance Coach in two event groups: Sprints and Hurdles, and Endurance. Currently completing the England Athletics Advanced Talent Coach Programme.
- ALTIS Endurance Coach and ALTIS Throws Coach.
- Licensed Coach in Running Fitness and Athletics Coach (speed, throws and jumps).
- Jack Daniels VDOT certified coach, Ultra Marathon Coach and certified IRONMAN triathlon coach.
- Licensed guide runner for visually impaired athletes.
- Diplomas in Sports Science and Therapy, Sports Psychology, and Strength and Conditioning.
- Currently completing a PhD in Elite Performance Coaching.
Coaching memberships
British Milers Club (coach), the US Track and Field and Cross Country Coaches Association (USTFCCCA), the European Athletics Coaches Association and the British Athletics Coaches Association.
Work in artificial intelligence
Paul is an Adjunct Professor of AI at the London School of Innovation, a course tutor for AI Law, Policy and Governance at LSE, and an AI Masterclass tutor at Saïd Business School, University of Oxford. He has published three books on artificial intelligence:
- Rent the Models; Own the Learning: how to build an AI advantage your competitors can’t copy.
- AI Made the Decision: who answers when no one owns the outcome.
- Tales from AI Development Hell: moonshots, misfires and management.
Books
- Rent the Models; Own the Learning: How to Build an AI Advantage Your Competitors Can’t Copy
- AI Made the Decision: Who Answers When No One Owns the Outcome
- Tales from AI Development Hell: Moonshots, Misfires and Management
Ecaveo Responsible AI Series. Papers on adopting AI responsibly across sectors such as law, financial services, health research and critical national infrastructure, published by Ecaveo. Read the series
Papers
Position papers on the responsible use of AI in coaching and youth sport. They are not peer reviewed.
- The Augmented Golfer: AI across technique, practice, strategy and player development (paper, 15 April 2026)
- The Augmented Touchline: how responsible AI can transform elite football performance and player development (paper, 15 February 2026)
- The Connected Endurance Athlete: integrating training, recovery and race execution in triathlon with AI (paper, 15 December 2025)
- Casting the Net Wider: AI as a force multiplier for talent discovery in grassroots and academy football (paper, 15 October 2025)
- Closing the Coaching Gap: how responsible AI can strengthen grassroots athletics without replacing the coach (paper, 15 August 2025)
- The Intelligent Track: AI, event-specific expertise and the future of elite athletics coaching (paper, 15 June 2025)
- The Responsible Performance System: governance, explainability and trust in AI for sport (paper, 15 April 2025)
- Democratised or Stratified? AI, competitive fairness and the grassroots coaching gap (paper, 26 July 2023)
- Load, Readiness and False Precision: the limits of algorithmic training prescription (paper, 21 June 2023)
- Maturation, Bias and the Training Set: developmental fairness in AI-supported athlete development (paper, 24 May 2023)
- The Measured Child: datafication, consent and autonomy across the athlete pathway (paper, 19 April 2023)
- The Coach in the Loop: tacit knowledge, professional judgement and the risk of deskilled coaching (paper, 27 February 2023)
- Predicting the Unpredictable: why algorithmic talent identification struggles with non-linear athlete development (paper, 25 January 2023)
Articles and guides
- How much is too much? What the evidence says about training a young athlete (article, 14 November 2026)
- How to use AI as a sports coach (guide, 6 November 2026)
- Force testing without a force plate: science, video and AI (article, 7 October 2026)
- Lactate Threshold Test: How to Run One Properly (article, 29 September 2026)
- The Responsible High Performance System: governance as a performance capability (article, 8 September 2026)
- Natural Language Performance Intelligence: asking better questions of official data (article, 16 July 2026)
- Scaling Individual Attention: using AI as a capacity multiplier, not a coach (article, 16 May 2026)
- Seeing Performance in Context: connecting physical data to the sporting moment (article, 17 March 2026)
- The Athlete Context Graph: why personalised training needs more than an average (article, 16 January 2026)
- The Coach as System Designer: building the decision environment around AI (article, 17 November 2025)
- From More Data to Better Decisions: what AI actually changes in performance sport (article, 18 September 2025)
- AI for Parents of Young Athletes (article, 1 March 2025)
- AI for Track & Field Athletes (article, 1 February 2025)
- AI – Embracing the Future of Coaching (article, 1 January 2025)
- Responsible AI for Coaches (article, 1 September 2024)
For press enquiries, email hello@athleet.ai. More about the company is on the about page.