10 - In Summary – Playing to Potential - Jaspreet Bindra on AI Literacy – Navigating the AI revolution

Jaspreet speaks about how his passion for quizzing in his childhood and early years of corporate life shaped his Operating System as a “Learn it all”.

Jaspreet speaks about how he thought about “flipping the donut” in terms of the mix of earning and learning. He also speaks about how he got provoked in one of the leadership workshops about how he was wearing his work identity too tightly.

Jaspreet speaks about how he has thought about being intentional about cultivating his personal identity (more than a brand). He states that in a world where each individual will work for multiple corporations (unlike one company having multiple people), he states that it is paramount that we have a Brand that people know us by.

Jaspreet speaks about how he has thought about being intentional about cultivating his personal identity (more than a brand). He states that in a world where each individual will work for multiple corporations (unlike one company having multiple people), he states that it is paramount that we have a Brand that people know us by.

Jaspreet speaks about how AI will impact the Coaching Profession and many other such “high touch” fields. He speaks about how the threat to a Coach is not AI but another coach who is leveraging AI.

Jaspreet speaks about the impact of AI on job destruction/creation and opines on what the careers in the future will look like.

Jaspreet names a quiet rearrangement: work stops being a lifelong ladder and becomes short, skill-driven tasks — intelligence will be on tap, so your edge is how you combine what you know and how you show up. This matters because identity anchored to a title loses purchase. The insight: leadership becomes a practice of choices — small bets, shipped work, repeatable judgment. Takeaway: build two portable strengths, treat each brief project as a learning lab, and lead from skill-combination rather than from a job label.

Jaspreet reframes a common fear: don’t ban kids from AI — teach them to work with it. He argues that curiosity about tools like ChatGPT is healthier than the passive scroll of social media, and that shielding children sets them up to lose relevance. The moment to notice is the parenting choice: restriction or guided exposure. Practice matters more than panic. Takeaway: let children explore responsibly, help them build tool-habits, and treat early AI use as a practical skill that supports judgment, creativity and future readiness.

Jaspreet points to a quiet paradox: AI automates the early-career, repeatable work and amplifies the value of experience and judgment. That matters because it changes where talent is forged — not in repetitive tasks but in guided practice, mentorship and decisions made under uncertainty. The moment to notice is the apprenticeship reborn: if juniors don’t get coached through higher-order problems, the talent pipeline thins. Practical takeaway: lean into teaching and deliberate practice, design short apprenticeships inside teams, and use AI as leverage to deepen judgment rather than replace the coaching that builds it.

Jaspreet makes a small but important distinction: first, discover your potential; then play to it. Discovery needs curiosity and experiments—trying things, failing, noticing what sticks. Don’t copy someone else’s path; shape a version that fits you. And don’t go it alone: use the new tools around you to amplify progress, and seek people who push your craft. Why it matters: leadership is less about imitation and more about disciplined practice and leverage. Takeaway: run small experiments, protect your unique strengths, partner for feedback, and use tools as turbochargers for learning.