290: You're Not Behind (Yet): How Leaders Need To Adapt With AI | Danielle Clark

Release Date: 

April 21, 2026

Release Date: April 21

AI is not waiting for your team to catch up. If leaders keep treating artificial intelligence like a side experiment instead of a business shift, they are going to fall behind.

In this episode of the Learn-It-All™ podcast, Damon Lembi sits down with Danielle Clark, VP of Global Talent at eBay, to unpack what AI leadership actually looks like inside a global company, and why the real challenge is not that the tech is not ready. It is that most humans are still learning how to work with it.

Danielle breaks down how leaders can guide teams through AI adoption, workplace transformation, and the future of work without creating panic, resistance, or empty hype. She explains why the best leaders are not starting with shiny tools. They are starting with the core problem, the workflow, and the outcome they are trying to achieve. From AI upskilling and employee enablement to AI in recruiting, onboarding, coaching, and learning and development, this conversation explores how organizations can build more capacity, move with more velocity, and still keep the human side of work front and center.

Danielle shares what it takes to create momentum at scale, how eBay approached AI essentials and ambassador networks, why human judgment still matters most, and what leaders must do now if they do not want their teams and themselves to get left behind.

What You’ll Learn:

  • Why the strongest AI leaders are not obsessing over every new tool, but are instead leading with confidence, empathy, vulnerability, and clarity through constant change
  • Why Danielle says the companies getting traction are the ones willing to throw everything up in the air and rethink workflows from the ground up, instead of just tweaking old processes
  • Why framing AI around tasks, workflows, and outcomes reduces fear better than telling people they need to reinvent their entire job
  • How eBay drove adoption by combining executive sponsorship, experimentation, AI Essentials training, and an AI ambassador network that translated tools into real use cases for different teams
  • Why employer expectations, customer expectations, and employee expectations have all gone up, and why Danielle believes people who refuse to lean in risk getting left behind
  • Why learning and development has a huge opportunity right now to earn a bigger seat at the table by acting as a scalable business partner in AI upskilling

In This Episode:

  • 00:00 - Episode preview and introduction
  • 02:58 - The tech is ready, the humans aren’t
  • 04:24 - What thriving leaders are doing that frustrated leaders aren’t
  • 07:50 - How do you tell someone it’s time to rethink their job?
  • 09:38 - Where AI helps most and where work still needs to stay human
  • 11:48 - How eBay got 9,000 employees to lean into AI
  • 14:54 - The two expectations leaders now have that change everything
  • 16:57 - What to do when executives want roi faster than people can adapt
  • 22:29 - How to use AI in hiring without losing the human judgment
  • 27:14 - Why AI coaching may help people ask for support they’d never ask a human for
  • 30:41 - Danielle’s surprising take on ChatGPT vs Gemini for giving feedback
  • 35:53 - The real risk of AI fatigue and how to avoid it
  • 37:50 - Why learning and development suddenly has a bigger seat at the table
  • 40:40 - What C-suites actually want to hear from L&D right now
  • 43:02 - Why grace and psychological safety matter more than perfection
  • 46:48 - What will still be fundamentally human five years from now
  • 48:39 - Damon’s closing challenge for leaders navigating AI change

About Danielle Clark:

Danielle Clark is the VP of Global Talent at eBay, where she leads work across areas including recruiting, learning and development, onboarding, and performance-related talent initiatives. A former consultant, Danielle brings a sharp perspective on leadership, workforce transformation, and how companies can adopt AI without losing the human skills that matter most.

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