The success of any enterprise is increasingly dependent on attracting and retaining top talent across various critical areas, including AI engineering, AI research, commercial operations, supply chain management, front-line technicians, and, most critically, cybersecurity. As AI systems evolve at an unprecedented pace, cybersecurity threats are also becoming more complex, taking on multiple forms, such as deepfakes, persuasive AI, algorithmic bias, ethical concerns, and even power-seeking behavior.

In this rapidly shifting landscape, workforce planning leaders and recruiters seek clearer guidance on the specific AI skills needed to stay ahead. It’s important to clarify that there isn’t a single skill labeled “Generative AI.” Instead, “Generative AI” is a broad business term encompassing a range of underlying technical competencies, such as multimodal models, synthetic data generation, and more.

To provide further clarity and support strategic workforce planning, we are attaching a comprehensive report that maps the current state of AI engineering and AI research skills. This report also includes a global analysis of talent availability, highlighting key regions where AI talent is emerging. Notably, our research has uncovered several hidden talent hotspots ripe for recruitment worldwide.

We hope this report is helpful to you.

Summary:  The Draup report on AI skills will be an invaluable resource for recruiters, workforce planning professionals, and learning and development leaders, providing impactful insights to guide their strategies.