What if the real competitive edge in 2026 isn’t AI itself, but how your organization learns to work with it?

In this episode of AI at Scale podcast Tamilla Triantoro, Associate Professor of Business Analytics and Information Systems at Quinnipiac University, and Co-author of Converging Minds, is setting the stage for a profound rethink of how leaders design work in a “human + AI” era. As AI shifts from a simple chatbot to an agent capable of acting across systems, Tamilla challenges executives to confront the practical questions:

How to divide tasks between human and AI, assuring trust, transparency and necessary transfer of knowledge?

What happens when AI in unhelpful and what risks it can carry for employees and organizations?

How to set boundaries in creative and strategic tasks for AI agents?

Furthermore, Tamilla unpacks why the future belongs to leaders who see beyond automation and understand behavioral, cultural, and structural aspects of work required to make human–AI collaboration truly thrive.

What you will learn from this conversation:

the 4 real modes of human–AI collaboration — and how to use them,

why trust is the crucial ingredient in AI adoption,

how AI reshapes behavior at work,

the key AI trends leaders overlook, from trust to agentic workflows.

Tune in to discover a clear, research backed view of how AI is transforming work today and get ready for the future.