The IBM executive tasked with retraining 30 million workers is changing how she thinks about the AI finish line

Justina Nixon-Saintil has a big job: train 30 million people with new skills — with a significant emphasis on AI — by 2030. With 22 million reached and over three years left, she’s changing how she thinks about the finish line. For years, the assumption driving IBM’s skilling push — and much of the broader workforce development conversation — was that access was the core problem. Get people the tools, get them the training, and the rest would follow. Nixon-Saintil, IBM’s Vice President and Chief Impact Officer, still believes that. But IBM’s own research is complicating the picture: by 2030, 67% of executives say mindset will matter more than skillset as organizations reinvent for an AI-first economy. Knowing how to use AI, in other words, may be less important than being willing to keep learning as the tools change beneath you. “What this increasingly requires is a continuous learning mindset,” Nixon-Saintil told Fortune. “Mindset, not just skillset, is going to matter more as organizations reinvent for an AI-first economy.” That shift is reshaping how IBM thinks about the students it’s trying to reach. On Wednesday, the company announced the AI Builders Challenge — a global competition open to university students across participating countries, built around IBM Bob, IBM’s new AI-powered coding agent. Unlike earlier tools that focused mainly on accelerating code generation, IBM Bob is designed to support the entire software development lifecycle, integrating orchestration, execution, and governance into development workflows. Students will use it to build projects tied to real-world themes — space exploration, the future of creative industries, intelligent work systems — and submit final work through GitHub. The grand prize is $5,000, out of a total prize pool of $15,000, and an invitation to IBM TechXchange, the company’s global developer conference. The challenge isn’t just about the prize. I