top of page

The Rise of the AI Manager: A New Frontier for HR (Part 2)

The new AI Manager, HR

The previous blog post explored how HR can lead the charge in managing AI within organizations. But what does this new landscape look like for HR professionals themselves? Here, we delve deeper into the potential changes for HR roles and the skills required to thrive in this AI-powered future.

The Rise of the "AI Manager"

As AI becomes more sophisticated, the need for specialized expertise in managing these systems will naturally rise. This could lead to the emergence of a new role within HR – the AI Manager.

Responsibilities of the AI Manager:

  • Overseeing AI implementation:  The AI Manager will ensure smooth integration of AI tools into existing HR workflows. This includes tasks like data preparation, model training, and performance monitoring.

  • Mitigating Bias:  AI algorithms are susceptible to bias based on the data they're trained on. The AI Manager will be responsible for identifying and mitigating bias to ensure fair and ethical decision-making.

  • Ensuring Explainability:  Many AI models can be opaque in their reasoning. The AI Manager will need to understand how AI arrives at its conclusions and be able to explain these decisions to stakeholders, including employees.

  • Measuring ROI:  Investing in AI comes with a cost. The AI Manager will be responsible for measuring the return on investment (ROI) of AI tools, demonstrating their value to the organization.

  • Staying Up-to-Date:  The field of AI is constantly evolving. The AI Manager will need to stay abreast of the latest developments, identify emerging trends, and continuously upskill themselves.

Evolution of Existing HR Roles

Beyond the potential for a dedicated AI Manager role, existing HR roles will also be impacted by AI.

  • Recruiters:  AI can streamline candidate sourcing and initial screening. Recruiters will need to focus on attracting top talent, building strong candidate relationships, and providing a positive candidate experience.

  • Learning & Development Professionals:  AI can personalize training and development programs based on individual needs. L&D professionals will need to focus on curating high-quality content, fostering a culture of learning, and coaching employees through their development journey.

  • HR Business Partners:  HRBPs will need to develop additional skills in data analysis and strategy to partner effectively with business leaders on AI-driven talent management initiatives.

The Essential Skillset for the AI-Powered HR

The future of HR is about human-machine collaboration. HR professionals will need a blend of core HR skills and new competencies to thrive in this new environment:

  • Data Literacy:  Understanding data analysis, interpretation, and visualization is crucial for effectively leveraging AI insights.

  • Critical Thinking:  HR professionals will need to critically evaluate AI outputs and make informed decisions based on a combination of data and human judgment.

  • Change Management:  Implementing AI will likely require change within the organization. HR needs strong change management skills to guide employees through the transition.

  • Human-Centered Design:  As automation takes over routine tasks, HR will need to focus on the human aspects of work, fostering employee engagement and building a strong company culture.


The rise of AI presents an exciting opportunity for HR to transform its role from administrative to strategic. By embracing AI and developing the necessary skills, HR professionals can become true AI managers, shaping a future where humans and machines work together to create a more efficient, innovative, and human-centric workplace.

This is not a call for HR professionals to become AI experts, but rather to develop a strategic understanding of AI's capabilities and limitations. By taking the lead in managing AI, HR can ensure a smooth and successful integration, safeguarding the human element of work while unlocking the immense potential of AI for the benefit of the entire organization.


bottom of page