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Avoiding the “Bad Training, Faster” Trap in the...

Avoiding the “Bad Training, Faster” Trap in the Age of AI

Training budgets are bigger than ever, but only 12% of employees apply what they learn. Enter AI — powerful, fast and everywhere. But without direction, it just produces bad training faster. In this complimentary Training Industry webinar, Mike Taylor, learning designer, speaker and author of “Think Like a Marketer, Learn Like an L&D Pro,” will show you how to stay in the director’s chair. Learn how to orchestrate AI as your crew while focusing on the human touch that makes learning resonate and drive real change.

This interactive webinar will provide easy-to-understand insights on:

* How to effectively guide AI tools instead of letting them guide you
* Practical ways to use AI for the heavy lifting while you focus on empathy, creativity and connection
* Why faster content alone doesn’t equal better learning — and how to avoid the “bad training, faster” trap
* Simple strategies to orchestrate AI as your crew, so learning resonates and drives real change

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Mike Taylor

October 17, 2025
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  1. Avoiding the “Bad Training, Faster” Trap in the Age of

    AI Mike Taylor trainlikeamarketer.com
  2. www.trainlikeamarketer.com ‘Cast’ Selecting the right solutions 'Direct actors’ guiding SMEs

    & facilitators to deliver impactful content. 'Scout locations’ Deeply understanding the environment & their audience
  3. trainlikeamarketer.com ‟The biggest risk is that AI just makes us

    more effective at doing something that's deeply ineffective.” Philippa Hardman
  4. trainlikeamarketer.com “When dealing with people, remember you are not dealing

    with creatures of logic, but with creatures of emotion.” Dale Carnegie Writer and Teacher
  5. trainlikeamarketer.com ‟AI needs you. Most AIs are built to be

    assistants, but think of them as an apprentice—they're much closer to an apprentice than an expert.” Ethan Mollick
  6. www.trainlikeamarketer.com Emotional Intelligence Recognizing what resonates with your learners and

    why Creative Problem Solving Make a boring compliance policy unforgettable by creating 'what would you do?' moments Strategic Vision Prioritizing learning initiatives based on business impact Research Synthesis Summarize/Synthesize large amounts of information Speed and scale Generating 20 different scenario variations or translate languages Consistent output Generate quiz questions with consistent difficulty and quality AI HUMAN
  7. trainlikeamarketer.com Most successful AI efforts keep humans in the director’s

    chair. https://donaldhtaylor.co.uk/research_base/focus02-talk-to-action/
  8. trainlikeamarketer.com Phase 2 Production Give context, not just commands Set

    constraints Define your role (and AI's role) Describe success criteria
  9. trainlikeamarketer.com Phase 3 Post-Production Does it connect emotionally? Does it

    reflect authentic context? Where does it need the human touch? What would I never say?
  10. trainlikeamarketer.com The Task: Create a learning scenario about giving constructive

    feedback to underperforming team members for new managers
  11. trainlikeamarketer.com Giving Constructive Feedback — Scenario Practice Scenario: “The Missed

    Deadline” • You’re a manager at a marketing firm. • Team member Alex coordinated a client campaign that launched 3 days late. • Alex is creative and dedicated — but often underestimates timelines and doesn’t communicate delays early. • You need to give feedback that helps Alex improve without discouraging their motivation. Your Task 1. Plan how you’ll approach the feedback conversation. - What’s the key message you want Alex to take away? - How will you balance honesty with support? 2. Role Play with a partner: - Use the SBI Model (Situation–Behavior–Impact) or DESC Model (Describe–Express– Specify–Consequences). - Keep it specific, respectful, and focused on growth. 3. Debrief as a group: - What worked well?
  12. trainlikeamarketer.com Developing New Managers in a Relationship-Focused Culture Company Context

    - Family-owned for 50+ years - Long-tenured employees, strong sense of loyalty - Deeply relationship-oriented, “family” feel - Challenge: Low accountability and discomfort with tough conversations Learning Goals - Balance relationships and results - Build confidence in giving feedback and holding others accountable - Transition from peer to leader - Strengthen trust through fairness and consistency Key Learning Themes - Lead with Care and Clarity – Be kind and clear - Trust Through Accountability – Consistency builds credibility - Communicate Expectations – Define success clearly - From “Family” to “Team” – Support performance, not just harmony - Coach for Growth – Use simple, practical feedback models Design Approach - Interactive workshops using real plant scenarios - Role-play: feedback for long-time coworkers - Peer coaching circles for practice - Manager toolkit: feedback phrases, accountability checklist
  13. trainlikeamarketer.com Aspect Developing New Managers Constructive Feedback Scenario Cultural Fit

    Tailored to relationship-based, long-tenured culture Generic, context-agnostic Learning Depth Mindset + skill Skill only Behavioral Outcome Sustainable change through cultural alignment Temporary skill application Emotional Intelligence Addresses fear, loyalty, and belonging Focuses only on mechanics Impact Builds accountability culture over time Demonstrates feedback model briefly
  14. www.trainlikeamarketer.com I got 80% good output but something feels off

    MISTAKE #1 The first output is never the final output.
  15. www.trainlikeamarketer.com I don't know enough about AI to direct it

    MISTAKE #2 You know learning. You know people. That's enough.
  16. trainlikeamarketer.com ‟…will depend as much on the emotions of humans

    as it will on the effectiveness of AI technology.” Philippa Hardman
  17. www.trainlikeamarketer.com Scenario: You need to create onboarding content for remote

    customer service reps about handling frustrated customers.
  18. 3 Things to Try this Week Pick one AI task

    and run it through the framework Notice when AI output "feels off" - investigate why Share the framework with one colleague
  19. "When dealing with people, remember you are not dealing with

    creatures of logic, but with creatures of emotion." Dale Carnegie