As AI-driven insights become central to workforce planning, companies face a critical question: is AI optimising workforces for long-term success or short-term efficiency? This discussion will examine how AI is reshaping workforce structures, from replacing rigid job roles with skills-based models to redefining decision-making authority between AI and human leaders. Alan Susi will also address whether AI is creating a two-tier workforce—where AI-augmented employees thrive while others fall behind—and how companies should manage upskilling, ethical responsibility, and workforce cohesion in this evolving landscape.

Companies are under increasing pressure to optimise their workforce while maintaining innovation and adaptability. AI offers powerful tools for workforce planning, but business leaders must navigate the risks of relying on data-driven decisions that may not yet be fully reliable. Shareholder demands for efficiency, the decline of traditional job structures, and the ethical implications of AI-driven workforce design add further complexity.

• The balance between AI-driven efficiency and long-term innovation
• How AI is changing workforce structures: skills-based vs. traditional models
• The rise of AI-augmented workers and the risks of a two-tier workforce
• The reliability of AI-driven workforce planning insights
• Ethical and strategic responsibilities in AI-driven workforce decisions
• AI’s impact on workforce planning in hybrid and remote-first environments.

• Understand AI’s influence on job structures, workforce planning, and organisational design
• Assess the risks and benefits of AI-driven workforce decision-making
• Learn how AI is shaping the balance between efficiency, innovation, and employee development
• Explore strategies for mitigating biases and ethical risks in AI-driven workforce models
• Gain insights into the future of hybrid work and AI-augmented workforce models.