New Roles & Occupations Created by AI

AI isn't just eliminating jobs - it's creating new ones, though the new roles often require different skills and don't always go to the same people who lost the old ones. Prompt engineering, AI training and fine-tuning, data labelling and curation, AI safety research, machine learning operations (MLOps), and AI ethics consulting are all roles that barely existed a decade ago. Beyond specialist technical roles, AI is creating demand for people who can bridge the gap between technology and domain expertise - clinicians who understand AI diagnostics, lawyers who can navigate algorithmic accountability, teachers who can integrate AI tools into education. The "AI-adjacent" workforce - people who work with AI systems without building them - is growing rapidly. There's also a less visible workforce that powers AI: data labellers in Kenya and the Philippines, content moderators reviewing disturbing material, and crowdworkers providing the human feedback that refines large language models. These roles are often low-paid, precarious, and invisible to end users. For organisations planning their workforce strategy, the opportunity is in identifying where AI creates new value and investing in the skills to capture it. The risk is in assuming that displaced workers will automatically transition into new roles without significant support.