Foster AI Adoption with a Culture of Trust
An organization’s culture needs to have certain characteristics that support employee buy-in on AI. These include:
- Rewarding experimentation with new technology
- Embracing the redesign of jobs and tasks
- Supporting continuous transformation
- Ensuring psychological safety around shifting roles
Building this culture of trust also requires clear guardrails for how AI is selected, tested and used in people decisions.
“Employees need confidence that if they're using technology to engineer themselves out of their current role, they will be rewarded by having another job they can step into,” adds van Driel.
Many companies are in the stage of deploying and encouraging adoption of AI tools. Therefore, metrics to judge success are more reflective of usage rather than efficacy," says John McLaughlin, Partner, Talent Solutions, Europe, the Middle East and Africa. KPIs should evolve from how many times generative AI is being used to how meaningful the tools are to a person’s job.
A New Approach to Skills and Jobs
Traditional approaches to job architecture will be completely outdated within two years, McLaughlin predicts. HR leaders that act now will stay ahead. A hybrid workforce of people and AI means roles will be constructed from an aggregation of tasks, with each task assigned to either a human or AI. This moves away from static job families toward a more dynamic, skill- and task-based structure.
While AI skills are important for certain roles, core competencies remain as relevant as ever. These include agility, curiosity and analytical thinking. “Individuals who demonstrate these traits are emerging as ‘AI Champions’ in the workforce,” says Ernest Paskey, Workforce Transformation Practice Leader, Talent Solutions, North America. Leading organizations are developing processes to foster these core competencies such as readiness academies. Additionally, assessment tools are getting better at hiring and developing employees for skills to thrive alongside AI. To maintain trust, organizations should use these tools to support — not replace — human judgement, and regularly review them for fairness, accuracy and potential bias.”