How 80,000+ Employees Are Embracing AI – And How Your Workforce Can Too
22 Apr 2026
Paris Stage 3
Core Session
According to the World Economic Forum, AI is expected to disrupt 22% of today’s jobs by 2030 — yet many organizations still lack a clear, actionable roadmap for what comes next.
In this session, Gianpaolo Barozzi, Chief Technology Officer for Cisco’s People, Policy, and Purpose organization, shares a behind-the-scenes look at how Cisco is proactively redesigning work in the age of AI to drive growth, innovation, and productivity at scale. Drawing on insights from Cisco’s Working with AI initiative—an enterprise-wide effort that analyzed more than 200 roles and 2,000 job activities—you’ll learn how Cisco identifies high-value AI use cases, evolves roles, and redesigns workflows with an AI-native and AI-first approach.
Whether you lead a business, a function, or a team, this session will equip you with practical guidance to redesign roles and workflows and confidently lead your workforce into the AI era.
In this session, Gianpaolo Barozzi, Chief Technology Officer for Cisco’s People, Policy, and Purpose organization, shares a behind-the-scenes look at how Cisco is proactively redesigning work in the age of AI to drive growth, innovation, and productivity at scale. Drawing on insights from Cisco’s Working with AI initiative—an enterprise-wide effort that analyzed more than 200 roles and 2,000 job activities—you’ll learn how Cisco identifies high-value AI use cases, evolves roles, and redesigns workflows with an AI-native and AI-first approach.
Whether you lead a business, a function, or a team, this session will equip you with practical guidance to redesign roles and workflows and confidently lead your workforce into the AI era.
Speakers
Topic
Future of Work & Emerging Practices
Learning Objective 1:
Identify opportunities to apply AI within your organization by assessing roles and job activities to uncover high-value use cases for augmentation and automation.
Learning Objective 2:
Apply practical frameworks to redesign roles and workflows using an AI-first approach that improves productivity, innovation, and business outcome.
Learning Objective 3:
Develop an initial roadmap for leading AI-driven workforce transformation, including steps to prepare teams, evolve job responsibilities, and support adoption at scale.