Journalists who would like to speak with Kaelyn regarding this topic can contact mary.baker@gartner.com or gerri.weinberger@gartner.com. Members of the media can reference this material in articles with proper attribution to Gartner.

1. Protégés: Early-career talent in judgment-heavy roles who may struggle to judge the quality of GenAI outputs.
2. Maestros: Experienced experts who use GenAI to enhance their work in complex roles.
3. Keystones: Less-experienced employees in support roles who can learn to execute their work better with GenAI.
4. Stewards: Experienced staff in straightforward roles, seeking efficiency gains.

1. Increased errors due to lack of judgment; For example, security vulnerabilities in code or fabricated information in legal documents that can put an organization and its customers at risk.
2. Fewer opportunities to build experience as GenAI automates tasks, or more experienced employees may require less junior support; Without the chance to learn tasks on the job, GenAI inhibits the development of the very skills and judgment that protégés need to avoid making costly mistakes with AI.
3. Weakened talent pipelines for senior roles; The pipeline of specialized professionals has not grown at the same rate as the need for advanced roles which can lead to a long-term supply shortage.

1. Build peer learning channels: Partner with learning and development teams to create forums where protégés can share challenges, GenAI successes, and best practices.
2. Formalize infrastructure for expert knowledge transfer: Ensure protégés have ongoing access to more seasoned colleagues to learn from, even if they don’t work together regularly.
3. Explore GenAI Simulators: Use GenAI-powered practice environments to help protégés build skills and judgment quickly in risk-free, realistic scenarios.