As organizations seek to harness the productivity of AI across their workforces, leaders face the dual challenge of understanding how employees can best use AI tools to drive real productivity gains, while also ensuring that the teams leading their AI initiatives are positioned to be successful. Meeting this challenge requires changes in employee habits and behaviors, from upskilling and training to everyday collaboration, so that AI tools are embraced effectively across all generations of workers.

Our research reveals that while generational gaps in AI adoption, training and participation are evidenced, there is little gap in the productivity benefits achieved by employees of different generations once AI is adopted. Further, AI teams that are more generationally diverse outperform those with less diversity. This report shows that bridging AI generational divides through targeted, practical interventions, such as tailored AI skills training, peer learning networks and well-designed incentives, can be effective in encouraging AI adoption and productivity across all generations.
Report highlights include:

• Generational gaps exist in AI adoption, training and participation in AI initiatives.
• Productivity benefits of AI are associated with training more than with generation.
• Generational diversity is linked to better performance of AI teams.

Trust in AI remains a barrier, regardless of adoption.