AI is generating fresh job opportunities. Discover the positions to keep an eye on and their responsibilities, as outlined by 3 experts.

Emerging AI-powered positions such as Decision Designer and AI Experience Officer are appearing rapidly across industries. These roles merge AI proficiency with insights from psychology, ethics, and organizational design. They highlight the shift in how companies are structuring work in the era of AI.

New Roles in Human-AI Collaboration

Job titles like Decision Designer, Digital Ethics Advisor, and AI Experience Officer may sound futuristic, but they represent a real trend. These roles focus on human-AI collaboration, combining technical knowledge with understanding of human decision-making, trust, and workflow management.

According to experts, one of the biggest challenges for companies is figuring out how humans and AI should work together. Professionals in these roles train teams on effective collaboration and determine where human judgment remains crucial. Success requires a dual understanding: human cognition and AI reasoning, including its strengths, limitations, and uncertainties. Essentially, AI must be treated as a partner rather than a tool.

Roles Designed for a Native AI Era

Initially, companies integrated AI by augmenting existing roles, often repackaging traditional engineering or technical positions. Now, organizations are creating entirely new roles designed for an AI-native workplace. Some positions focus on governance, ensuring AI decisions are safe and aligned with strategic goals.

The AI Decision Designer is an example of such a role. As AI begins to handle high-stakes decisions like fraud detection or loan approvals, these professionals shape the decision-making frameworks and maintain accountability. Their work keeps humans central to the outcomes of automated systems.

Shaping AI Experiences for Humans

Other roles, such as the AI Experience Officer, focus on how AI interacts with people. Unlike traditional AI leadership, which emphasizes development and implementation, this position ensures AI systems behave in ways that are empathetic, trustworthy, and aligned with organizational values. Industries like healthcare and education are particularly suited for these roles, where human-AI interaction directly impacts patient care or learning experiences.

Building Ethical and Safe AI

Creating ethical AI frameworks and safety protocols is another emerging responsibility. The Digital Ethics Advisor helps establish systems to detect issues early, maintains compliance with evolving standards, and anticipates potential risks in AI-human interactions. With no universal governing body for AI safety, these professionals are critical in preventing and mitigating problems.

AI as a Workforce Transformation

These new roles are just a fraction of the broader impact of AI on workplaces. Beyond replacing certain jobs, AI is reshaping workflows, skill requirements, and management structures. Human oversight remains essential even as automation increases. Companies that see AI merely as an IT upgrade may underestimate the scale of transformation required, which experts describe as a complete reconfiguration of how work is done.

Author: Maya Henderson