In this explosive episode of The L&D Mindshift Bytecast, we expose the shocking truth about corporate training that EY just revealed through their revolutionary AI Academy. While most organizations obsess over completion rates and satisfaction scores, EY trained 44,000 employees and created a program that actually transforms businesses—producing 50 real AI projects across five companies with zero focus on traditional learning metrics. We reveal how EY discovered that implementation matters more than instruction, and how they stopped asking "Did you learn?" to start asking "What did you build?"

Through our strategic analysis, we examine the uncomfortable reality that 97% of enterprises cite talent shortage as their biggest barrier, when the real problem is our addiction to "learning theater"—expensive programs that create the illusion of development without driving actual change. We provide immediate action steps: eliminate satisfaction surveys, replace knowledge assessments with build requirements, and shift measurement focus from activity tracking to outcome counting. We also address the real threats this approach poses to traditional L&D and the massive opportunities to transform from content delivery to problem-solving capability.

Whether you're frustrated with training programs that don't change behavior, struggling to prove business value from learning investments, or questioning why carefully designed courses don't translate to workplace performance, this episode offers a brutally honest assessment and practical roadmap for transformation. Join us as we make the case that the future of workplace learning isn't about better engagement—it's about stopping the performance and starting to build things that matter.

Find on LinkedIn:

• ⁠⁠⁠⁠⁠⁠⁠Santhosh Kumar⁠⁠⁠⁠⁠⁠⁠⁠ (https://www.linkedin.com/in/santhoshji/)

• ⁠⁠⁠⁠⁠⁠⁠⁠The L&D Innovation Collective⁠⁠⁠⁠⁠⁠⁠⁠ (https://www.linkedin.com/company/the-lnd-innovation-collective/⁠)

In this episode of The L&D Mindshift Bytecast, we tackle one of the most significant shifts facing Learning & Development today. As AI transforms how we access and process information, the traditional L&D model of knowledge transfer is being fundamentally challenged. When factual information becomes instantly available and practically free, what role does workplace learning play?

We explore how L&D is evolving from a knowledge-scarce environment where having the right answers created value, to a knowledge-abundant world where the ability to ask insightful questions, challenge assumptions, and navigate complexity has become the new competitive edge. This isn't about abandoning expertise—it's about redefining what expertise means when AI can handle the factual heavy lifting.

Through a strategic SWOT analysis, we examine how L&D professionals can leverage their natural facilitation skills and learning psychology expertise while addressing critical weaknesses like over-reliance on simple metrics and comfort with certainty. We uncover massive opportunities to shift from content creation to context curation, positioning L&D as developers of thinking capability rather than deliverers of information.

The episode provides three concrete monthly actions you can implement immediately: conducting question audits of existing programs, introducing assumption mapping exercises, and identifying AI partnership opportunities. We also tackle the measurement challenge head-on, offering practical approaches for tracking question quality, assumption identification, and perspective flexibility.

We address the real threats facing L&D—from potential irrelevance to organizational resistance—while providing a roadmap for transformation. How do we help people combine deep knowledge with flexible thinking? What does it look like to design learning experiences that embrace ambiguity and develop judgment rather than just memory?

Whether you're seeing declining engagement in traditional training programs, struggling to demonstrate business impact, or wondering how to stay strategically relevant as AI capabilities expand, this episode offers a pragmatic yet ambitious vision for L&D's future. Join us as we make the case that in the age of AI, the most valuable skill isn't knowing faster—it's thinking differently.

Find on LinkedIn:

• ⁠⁠⁠⁠⁠⁠Santhosh Kumar⁠⁠⁠⁠⁠⁠⁠ (https://www.linkedin.com/in/santhoshji/)

• ⁠⁠⁠⁠⁠⁠⁠The L&D Innovation Collective⁠⁠⁠⁠⁠⁠⁠ (https://www.linkedin.com/company/the-lnd-innovation-collective/⁠)

In this episode of The L&D Mindshift Bytecast, we uncover a surprising lesson from a 1950s marketing failure that could revolutionize modern workplace learning. When General Mills' "just add water" cake mix flopped spectacularly, their counterintuitive solution—making it harder by requiring customers to add a real egg—led to soaring sales and revealed a powerful psychological principle: effort creates ownership.

We dive into the implications of this discovery for Learning & Development in an age of AI automation. In our rush to make learning effortless through AI-generated content and one-click solutions, are we accidentally stripping away what makes learning meaningful? Or is it time for L&D to embrace the "human egg" principle—designing experiences that require meaningful contribution and active participation?

Through a comprehensive SWOT analysis, we explore the strengths, weaknesses, opportunities, and threats of effort-based learning in the modern workplace. How do we balance convenience with engagement? What does it take to transform passive content consumption into active knowledge creation—without overwhelming learners?

Whether you're designing digital learning experiences, battling low engagement rates, or trying to prove learning impact in your organization, this episode offers practical insights for creating more meaningful development. Tune in as we challenge the "effortless is always better" paradigm and make the case for why sometimes making learning harder makes it infinitely more valuable.

Find on LinkedIn:

• ⁠⁠⁠⁠⁠Santhosh Kumar⁠⁠⁠⁠⁠⁠ (https://www.linkedin.com/in/santhoshji/)

• ⁠⁠⁠⁠⁠⁠The L&D Innovation Collective⁠⁠⁠⁠⁠⁠ (https://www.linkedin.com/company/the-lnd-innovation-collective/⁠)