Overview - AME 2026 C-Suite Roundtable Summit

Join an exclusive, CEO - level roundtable summit where leaders move beyond discussing challenges and focus on actionable solutions. This session brings together peers to tackle the forces already redefining competitiveness: rapid technology adoption, a shifting workforce and ecosystems that too often create friction instead of momentum.

You’ll exchange hard-earned insights, challenge assumptions alongside fellow executives and build meaningful relationships with other CEOs that extend well beyond the roundtable.

This isn’t theoretical. It’s a candid discussion about what’s working, what’s not and how leaders can accelerate progress - together.

The future has already happened. Why technology adoption must be an imperative for manufacturing in America. Manufacturing leaders often speak about "preparing for the future," yet much of that future is already operating - inside competitors' organizations and across global supply chains. Advanced automation, AI-enabled operations, digital twins, additive manufacturing, predictive maintenance, and data-driven decision-making are no longer emerging technologies; they are competitive realities
Bridging student expectations with executive realities - A University of New Haven student panel discussion. This interactive panel brings together top University of New Haven students from engineering, business, and applied technology programs for a candid conversation with manufacturing C-suite leaders.
Why the manufacturing support ecosystem is broken - and what CEOs actually need instead. Manufacturing CEOs are surrounded by a broad support ecosystem - technology vendors, consultants, workforce partners, trade associations, public initiatives, and universities - yet many leaders report the same experience: too much fragmentation, too many disconnected solutions, and too little progress on the factory floor.
Upskilling and reskilling the workforce in the age of digital change and Artificial Intelligence. Digital transformation, automation, and artificial intelligence are reshaping manufacturing faster than traditional workforce models can absorb.

Breakfast and lunch provided