Workday CTO Gabe Monroy and Head of Developer Relations Nick Moores discuss the shift from "black box" enterprise software to the next era of enterprise technology defined by openness, interoperability, and AI-driven automation.

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Everyone’s asking if AI will take jobs. Microsoft’s Chris DiBona explains why that’s the wrong question, and lays out a vision for what really comes next.

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The AI revolution is here, but is your workforce invited?

What’s holding AI adoption back in HR? Workday’s Cristina Goldt and AI expert Harper Carroll believe it’s because leaders might be hiding the working gears. In this conversation, they challenge the 'black box' status quo, revealing why your employees will never adopt a tool they aren’t allowed to interrogate. Together, they unpack the trust–adoption paradox and explain why visibility drives confidence.

AI was supposed to take the grunt work off our plates. Instead, many teams are spending their time checking, correcting, and translating AI output back into the flow of work. In this episode, Jon Lexa, VP of GTM and Operations at Sana, joins Callie Kemmer, Senior Director of AI Strategy, Growth, and Operations at Workday, to examine why enterprise AI still struggles at the last mile—and what it will take to move from impressive output to work that businesses can actually trust and act on.

While AI promises speed, many leaders are instead battling 'workslop'—the friction of low-quality, AI-generated output that creates more cycles instead of fewer. Join Workday’s Kathy Pham and researcher Kate Niederhoffer as they discuss how to bridge the gap between AI hype and reality to ensure technology strengthens human discernment.

80% of the global workforce is deskless, yet most tech is still built for a desk. In this episode of the Future of Work Podcast, Joshua Secrest and Josh Bersin discuss the frontline imperative and how "invisible software" can bridge the innovation gap to stop the massive revenue leaks caused by understaffing.

We’ve entered a paradoxical era of work. While AI is saving employees an average of 10 hours a week, a "productivity bubble" has emerged. Instead of using that found time for innovation, many are spending nearly half of it reworking and contextualizing AI’s output. Are we becoming faster at the expense of our own critical thinking?

In this episode, Aashna Kircher, SVP of HR Products at Workday, and Jacqueline Carter, Managing Partner at Potential Project, dive into the psychological and structural shifts required to thrive in the age of AI. They move beyond the technical hype to explore "automation bias," the biological pull of the "easy button," and why the most important skill of 2026 won’t be prompt engineering—it will be discernment.

In this Season 2 premiere episode, Workday CMO Emma Chalwin and President of Product and Technology Gerrit Kazmaier pull back the curtain on the "Productivity Bubble."

Learn why the next era of SaaS isn't about more features, but about removing the human friction from the business process.