As AI adoption accelerates, many organizations aim for “AI adoption without burnout”—yet few are measuring the human cost until it’s too late.
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As organizations scale AI-driven learning, cognitive load, operational complexity, and workforce strain often rise quietly—while traditional metrics continue to signal success.
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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.
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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