This article outlines five critical lessons learned from AI talent strategies that can be applied to address the quantum technology talent gap. It highlights the need for clear talent definitions, investment in translators, creation of diverse pathways, building technology literacy, and developing talent strategies to ensure a robust quantum workforce.

Quantum technologies face a significant talent gap, threatening the potential to stall critical breakthroughs. Drawing parallels with the AI talent crunch of the 2010s, the article presents five lessons that can be adapted for quantum: defining talent needs, investing in translators, creating diverse talent pathways, enhancing technology literacy across the board, and focusing on talent development strategies. These strategies are aimed at ensuring organizations are prepared with the quantum computing talent needed as the technology matures. Emphasizing the need for clear role definitions and strategic hiring, the article discusses how upskilling and cross-skilling from related fields can help fill immediate gaps while building a long-term, sustainable talent pool.

Five lessons from AI on closing quantums talent gap before its too late