『A.I. In Football』のカバーアート

A.I. In Football

A.I. In Football

著者： Tom Butterfield & David Bromley
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AI in Football: Recruitment Decisions, Done Properly is a practical podcast about how football clubs make better recruitment decisions in an AI world — without the hype. We don’t chase novelty tools. We focus on the thinking and structure that makes any tool useful: clear role briefs, behaviours over labels, constraints and trade-offs, repeatable shortlisting, and decision review that actually improves the process. Each episode gives you something you can use: - Role Definition Templates (behaviour-based, not position labels) - Question sets that lead to better shortlists - Meeting Structures that stop recruitment becoming a persuasion contest - Simple Ways to Stress-Test Decisions (“what would make this wrong?”) - How AI Fits Safely: drafting, checking, standardising outputs — never replacing judgement If you work in recruitment, scouting, analysis, coaching, or you’re aiming to, this show is for you. Clarity First. Tools Second.Copyright 2026 Tom Butterfield & David Bromley サッカー
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  • Ep62: World Cup Window — How to Watch a Tournament Like a Recruitment Department

    Ep62: World Cup Window — How to Watch a Tournament Like a Recruitment Department
    2026/06/12

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    Summary

    In this episode, Tom Butterfield and David Bromley explore how to watch the World Cup as a recruitment tool, emphasizing the importance of preparation, data analysis, and understanding the limitations of tournament-based scouting.

    Key Topics

    • The impact of visibility and FOMO on player valuation
    • The importance of upstream preparation and clear briefs
    • Limitations of tournament data for long-term decisions
    • How character under pressure reveals true player qualities
    • The role of data and observation in different tournament stages
    • Sample size considerations and when to draw conclusions
    • The value of a structured tournament log for recruitment insights

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    30 分
  • Ep61: The Clean Slate — What Would You Build If You Started Today?

    Ep61: The Clean Slate — What Would You Build If You Started Today?
    2026/06/05

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    Summary

    This episode explores how football clubs can leverage AI and data tools effectively by starting from a clean slate. It emphasizes the importance of defining clear identity and process before tool adoption, and discusses common pitfalls like legacy platforms and confirmation bias.

    Keywords

    Football recruitment, AI in sports, data analytics, recruitment process, organisational change, AI tools, sports technology, decision making, club strategy, digital transformation

    Key Topics

    • AI integration in football recruitment
    • The shoehorn problem and legacy platforms
    • Designing a process from scratch for AI adoption
    • Stages of a data-driven recruitment process
    • The importance of identity and clear briefs

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    43 分
  • Ep60: The Summer Window Is Open — Are You Ready?

    Ep60: The Summer Window Is Open — Are You Ready?
    2026/05/28

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    In this episode, Tom Butterfield and David Bromley delve into the core principles of professional football recruitment, emphasizing the importance of clarity, preparation, and structured processes.

    They explore how clubs can optimize their decision-making and leverage AI tools effectively to build sustainable success.

    Main topics include:
    • How to create a live, prioritized target matrix
    • The difference between prepared and reactive clubs during transfer windows
    • The significance of early planning and decision logs
    • The role of AI in recruitment: avoiding vague briefs and amplifying clarity
    • Building organizational resilience through standards rather than individual brilliance
    • The impact of club culture on recruitment outcomes and process consistency
    • Practical steps for clubs to close gaps before the transfer window opens
    • The future of AI in football and maintaining a focus on identity-first recruitment

    Useful Links

    Join the Free Kickstart Challenge

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    31 分
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