Welcome to another episode of The Inside Learning Podcast brought to you by the Learnovate Centre, where we explore the impact of AI on the future of work. In this episode, we are joined by Sangeet Paul Choudary, the author of 'Reshuffle,' to debunk common fallacies about AI, such as 'AI won't take your job, but somebody using AI will.'

Sangeet dives deep into understanding how AI restructuring workflows, altering organizational logic, and redistributing power. Using real-life examples from various industries, he explains how we should refocus from task-level to system-level thinking to truly understand the changes AI brings. Sangeet discusses the importance of skills like curiosity and curation and provides actionable insights on how to stay valuable in an AI-driven world. Tune in to learn more about the fallacies of automation and augmentation, productivity gains, and the new value industry coordination layers bring.

00:00 Introduction to the Inside Learning Podcast

00:15 Debunking the AI Job Replacement Myth

01:02 Understanding the Systemic Impact of AI

02:06 Introducing the Guest: Sangeet Paul Choudary

02:23 Unpacking the AI Job Replacement Fallacy

02:53 The Automation vs. Augmentation Debate

04:25 The Typist Example: A Case Study

06:42 Skills for the Future: Curiosity and Curation

10:58 The Productivity Gains Fallacy

11:13 Coordination vs. Creation: Capturing Value

15:54 The Workflow Continuity Fallacy

17:18 The Neutral Tools Fallacy

21:30 The Stable Salary Fallacy

24:16 The Stable Firm Fallacy

25:22 Practical Takeaways for the Future of Work

29:49 Conclusion and Resources

Find Sangeet on Substack:

https://open.substack.com/pub/platforms/p/the-many-fallacies-of-ai-wont-take?r=jzz68&utm_campaign=post&utm_medium=web&showWelcomeOnShare=false

Find Reshuffle:

https://amzn.to/46NGtvv

Productive Failure: A New Paradigm for Learning with Manu Kapur

What if the best way to learn isn’t to get it right the first time—but to fail first?

In this episode of Inside Learning, we’re joined by Manu Kapur, author of Productive Failure. Kapur introduces a radical shift in how we think about education and training: instead of shielding learners from mistakes, we should intentionally design for failure as the gateway to deep understanding.

We explore:

1. Why traditional Direct Instructionoften fails even when delivered by excellent teachers.
2. How novices “can’t see what they don’t yet know” — and why the first job of teaching is to prepare them to see with an expert’s eyes.
3. The science behind Productive Failure — from Activationto Awareness, Affect, and Assembly.
4. Evidence showing that Productive Failure can produce learning gains three times greaterthan conventional methods.
5. Practical ways educators, trainers, and leaders can create safe, curated failure experiences that build resilience, creativity, and deeper transfer of knowledge.

As Kapur puts it: “Fail first, learn later.”

Join us for a conversation that challenges the way we teach, train, and even think about learning itself.

Find out more here: https://www.productivefailure.com