Cisco’s Chief People Officer Spearheads AI-Driven Workforce Transformation
Francine Katsoudas, Cisco’s chief people, policy, and purpose officer, is leading the charge in navigating the company through the AI revolution. With 27 years of experience in large-scale transformations, Katsoudas is uniquely positioned to guide Cisco’s workforce strategy in the face of rapid technological change.
As AI adoption accelerates, Katsoudas emphasizes the importance of engaging with peers and affected employees. Cisco has joined forces with other major tech companies to form a workforce consortium, focusing on reskilling and upskilling for roles impacted by AI.
The tech giant is witnessing a shift towards practical AI applications in the enterprise. Katsoudas notes that this transition is reshaping job roles, necessitating skill adaptation across the organization. Cisco’s approach to AI integration is three-pronged, addressing infrastructure support, security considerations, and the intersection of AI with various company functions.
In a novel bottom-up approach to AI implementation, Cisco is leveraging power users to demonstrate the technology’s benefits. A pilot program for AI training and certification has seen significant employee participation, generating numerous innovative ideas. Katsoudas stresses the importance of a responsible AI framework to guide these initiatives.
The C-suite at Cisco is also evolving, moving from a role-based to a skills-based focus. This shift encourages team-driven technology use and promotes fast-paced, bite-sized training for continuous learning. AI is enhancing workforce planning insights, allowing for more strategic decision-making.
Looking to the future of talent acquisition, Katsoudas sees potential for AI to reduce bias in hiring processes. Cisco has experimented with blind hiring to focus on skills over credentials, and AI is expected to play a crucial role in identifying diverse talent and capabilities.
As Cisco continues to adapt to the AI landscape, Katsoudas underscores the importance of continuous learning and adaptation. She views AI not just as a disruptive force, but as a tool for enhancing workforce diversity and efficiency in the tech industry.