Emerging AI-Induced Roles in HR and Personnel Management

A growing number of HR teams are integrating artificial intelligence for various operational tasks. Companies such as Amazon and Siemens implement AI within human resources to evaluate résumés and suggest positions in alignment with a candidate's capabilities.

In fact, a recent analysis by Sapient Insights Group, projected to 2025, reveals that 31% of organizations are now utilizing some form of AI technology in their processes.

Organizations are also developing new HR roles that necessitate competencies in areas like data interpretation, analytical methods, constructing prompts for advanced language models, and rethinking workflows.

Furthermore, reports from Robert Half predict that by 2026, many entities will be prepared to provide increased compensation for skills tied to AI, including specializations in data science, analytical expertise, and business intelligence.

“Technology has historically transformed certain roles and work habits while creating opportunities for new positions and skill sets,” remarks Christina Giglio, an authority in hiring and technology consultancy at Robert Half. “This trend appears to be ongoing with AI.”

Roles Arising in the AI Era

AI Integration and Employee Experience Coordinator

Tasked with orchestrating the integration of artificial intelligence tools, this role is pivotal in helping staff recognize the importance of AI, its functional applications, and its advantages, thereby ensuring smooth AI deployment.

“AI is not a substitute for human labor,” asserts Anthony Donnarumma, the head of recruiting firm 24 Seven. Organizations require personnel who can manage the synergy between human input and AI to ensure steady results and compliance with business requirements.

This responsibility involves guiding teams in the incorporation of AI into daily tasks, according to Lana Peters, Chief Revenue and Experience Officer at Klaar, a performance management platform.

The role frequently requires training supervisors, remodeling work procedures, meshing company culture with technology, and assisting employees in transitioning to these new processes.

AI Systems Educator

This position is focused on educating AI technologies such as virtual assistant tools and AI-driven applications to guarantee their efficacy in achieving HR goals. Duties might include data organization and the scrutiny for biases.

According to Ronni Zehavi, CEO and co-founder of the HR technology firm HiBob, this role involves aspects of technical oversight, editorial guidance, and quality assurance, where specialists refine and tag data for AI application, assess outputs, and guide AI systems for optimal functionality.

Leader in People Data and AI Analysis

Focusing on converting raw employee data, such as those from evaluations and feedback sessions, into actionable insights for decision-makers is central to this role, as explained by Peters.

Experts in this role support leaders in strategic, data-informed decision-making regarding team development and identifying potential career advancements or risks of employee turnover.

According to Lauren Winans, CEO and lead human resources consultant at Next Level Benefits, proficiency in data interpretation, critical thinking, and understanding AI outputs are indispensable for this position.

Manager of Responsible AI and Workforce Governance

This role is responsible for crafting policies and ensuring their implementation to maintain AI utilization as safe, equitable, and transparent. This includes managing how employee data is processed to prevent biased practices.

Referred to as a governance and risk leadership role, it is about creating strategies for secure AI operation, focusing on protecting privacy and monitoring accuracy, which is crucial for navigating regulatory environments and mitigating potential legal or reputational impacts, according to Donnarumma.

Zehavi adds that the key responsibility is to guide teams in achieving fairness, transparency, and adherence to policies, thus enabling organizations to use AI to support their workforce effectively without unintended exclusions.