The Unseen Cost of AI in Learning
As AI adoption accelerates, many organizations aim for “AI adoption without burnout”—yet few are measuring the human cost until it’s too late.
As organizations scale AI-driven learning, cognitive load, operational complexity, and workforce strain often rise quietly—while traditional metrics continue to signal success.
In this fireside chat, we examine the risks of AI at scale and how leading organizations are governing AI adoption to protect performance, trust, and long-term value. The session combines Deloitte’s perspective on AI risk and governance with Docebo’s experience enabling sustainable, human-centered learning at scale.
What You’ll Learn
- Why workforce impact often goes unseen by leadership
- What happens when adoption outpaces organizational readiness
- Why AI success requires governing human impact—not just outputs
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