Background
Simplilearn
Invite-OnlyAn Executive Roundtable · Lunch

The Skills That Matter Next:Preparing Your Workforce& Leaders for the AI Era

February 20, 2026
Chamberlain's Steak & Fish House, Dallas

AI is accelerating change across every operational layer. Roles are shifting. Leadership models are collapsing and reforming. Frontline and mid-level managers will soon lead teams of people and intelligent agents.

But even the most advanced enterprises are asking the same question:

Which capabilities will matter most,
and how do we build them at scale?

This invite-only roundtable gathers CHROs, CLOs, and enterprise workforce leaders for a candid, senior-level discussion on what's coming next.

What We'll Explore

The critical shifts every enterprise must plan for:

Skills Decay

Skills Decay

every 2-3 years

faster for technical skills

Manager Role Shift

Manager Role Shift

orchestrating

people + AI agents

Leaders + AI Co-Pilots

Leaders + AI Co-Pilots

requires sensemaking

and systems thinking

Frontline Capability

Frontline Capability

now depends

on digital fluency

Core Human Capabilities

Core Human Capabilities

analytical reasoning

and scenario planning

Winning Organizations

Winning Organizations

predict skills

ahead of demand

Featured Speakers

Rob Lauber

Rob Lauber

Rob Lauber is a global workforce and capability-building leader with over 25 years of experience helping organizations prepare leaders and frontline teams for change. Most recently, he served as SVP and Chief Learning Officer at McDonald's, leading learning and development across 37,000+ restaurants worldwide. His perspective is especially relevant as organizations rethink leadership and capability models in the age of AI.

Krishna Kumar

Krishna Kumar

Krishna Kumar is the Founder and CEO of Simplilearn, working closely with enterprises navigating workforce transformation driven by AI and digital change. At the center of the learning and skills ecosystem, he brings a unique perspective on how roles, leadership expectations, and capabilities are evolving across industries. Through direct engagement with enterprise leaders and education partners, he sees what scales, and what doesn’t, in building workforce readiness for the AI era, offering a cross-enterprise view of the priorities shaping workforce strategy today.

Sudipto Mitra

Sudipto Mitra

Sudipto Mitra is a senior transformation and growth leader with over 20 years of experience helping enterprises navigate large-scale change across technology, operations, and talent. As Chief Revenue Officer at Simplilearn, he works with executive teams to address workforce capability gaps as AI reshapes roles and operating models. He previously held leadership roles at Accenture, IBM Consulting, and WorkFusion.

Additional Expert Perspectives

Invited experts from leading consulting and enterprise learning organizations will contribute short perspectives, offering insight into how large organizations are evolving skills and leadership models in the AI era.

Chess pieces

Go behind the curtain with real examples and high-scale insights

A clear view of the leadership & workforce capabilities You'll walk away with:

Insights from high-scale operating environments including the former CLO of McDonald's on what truly scales and what breaks under pressure.

Signals for where capability gaps may already be forming in your organization.

Peer-validated perspectives from leaders running workforce, talent, and transformation ecosystems at scale.

Actionable insights you can take straight into your next exec meeting.

Event Agenda

Welcome & Opening

Sudipto Mitra, CRO Simplilearn

Why capability-building is now a board-level issue and what's changing in the workforce landscape.

Keynote: What Enterprise Leaders Are Seeing on the Ground

Rob Lauber, Former CLO McDonald's

A grounded view of how AI and AI agents are reshaping work, workflows, and leadership across industries.

Lunch & Executive Conversation

Industry Experts Invited

What large enterprise talent ecosystems are learning about capability-building at scale.