If the inclusion projects you start keep quietly slipping away, your work never compounds. Here I unpack how to fix the leaks.

In this episode we cover:

• Why every body of work quietly leaks
• How correcting yourself protects what you built
• Why starting small builds the bigger arc

If you're finding that the inclusion work you start keeps slipping away before it sticks, start here:
https://implementation.elementofinclusion.com/

If your team uses AI but nobody is building judgement, the gap is forming now. Here I break down three modes of AI use and why only one builds skill.

In this episode we cover:

• How adoption metrics hide a growing capability gap
• Why the most common AI mode builds nothing
• When polished output disguises missing judgement

Resources referenced in this episode:
Dell'Acqua, F. et al. (2024). Cyborgs, Centaurs, and Self-Automators: The Three Modes of Human-GenAI Knowledge Work and Their Implications for Skilling and the Future of Expertise. Harvard Business School, MIT, Warwick, Wharton.

If you're finding that your team is using AI but you can't tell whether it's building capability or replacing it, start here:
https://implementation.elementofinclusion.com/

If your organisation measures AI adoption by usage, the metric masks a deeper gap. Here I break down what the best AI organisations measure instead.

In this episode we cover:

• Why AI competency requires evidence not usage
• How unspoken assumptions shape your AI culture
• Why your future team won't be entirely human

If you're finding that your AI work produces activity but no measurable outcomes, start here:
https://realitycheck.elementofinclusion.com/