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Synthetic Work: How to Design Real Experience When AI Takes the Work
As AI absorbs routine tasks, it removes the traditional “proving ground” where our people once built critical-thinking, decision-making, and problem-solving skills. Without exposure to complex workplace challenges—shifting priorities, conflicting feedback, and tight deadlines—our organizations face a growing capability gap. This gap creates a major strategic challenge for CLOs: How can we build deep organizational judgment when the traditional proving ground no longer exists? The answer lies in synthetic work. Enterprise learning leaders can no longer wait for experience to happen organically—they must engineer it. Deliberately designing experiences founded in ambiguity, competing priorities, conflicting feedback, and uncertainty simulates the proving ground where reasoning and discernment develop and thrive.
Join Ann Stott, SweetRush Lead of Talent Management Strategy, and Tiffany Vojnovski, SweetRush Senior Learning Strategist, for a deep dive into how L&D can lead the charge through its most transformative challenge yet—using synthetic work and calibrated struggle to engineer real-world readiness.
Attendees will explore how to:
-Diagnose talent risk: Uncover where automated AI workflows are creating unseen capability gaps in your workforce that jeopardize the growth of future leaders.
-Design effective synthetic work experiences: Learn how to engineer and scale high-impact, realistic workplace scenarios that build real critical thinking skills, confidence, and resilience.
-Create calibrated struggle: Replace slow, unpredictable on-the-job exposure with deliberate, repeatable learning experiences that accelerate time to autonomy.
-Shift perceptions of the L&D function: Reposition your team’s role from creating training content to designing the experiential conditions that drive business performance.