In this main stage panel on reskilling for human relevance, Shawn Dorward, VP, sa.global, shared how creating space for experimentation can make AI adoption more contagious, helping employees learn from one another and rethink how work gets done.
Key Takeaways
Experimentation Creates Momentum for AI Adoption: When employees are given permission to try AI tools without fear of failure, individual experimentation can spread throughout an organization. Sharing those experiences openly can encourage others to explore how AI could improve their own work.
Leaders Need to Make Room for Learning: Traditional business environments often prioritize certainty, metrics, and immediate results, but new technologies require time to develop skills and discover effective applications. Giving employees dedicated space to experiment can help organizations build AI capabilities more naturally.
Reimagining Work Requires a Mindset Shift: The introduction of transformative technologies changes not only the tools people use but also how they approach their work. Like earlier technologies that eventually became fundamental to business, AI requires organizations to rethink existing processes and give people the opportunity to adapt.



