"It's cohabitation. I think you start with a degree, there's a foundation that comes with a degree, but you need the skills to be relevant in the workplace,"
"We need to move to a world where there's ongoing, continuous evolution of the skills portfolio that one has to be adapted to the jobs that they want in the market that they're in,"
"Skills development for AI readiness requires not just upskilling on the technical level or determining how to use it fluidly, in everyday use cases,"
"It requires the ability to ask the right questions, to know when to rely on AI (and when to press pause), and to foresee impacts beyond the immediate."
A degree supplies foundational thinking skills but must be paired with practical skills training to remain relevant in the workplace. Lifelong learning and continuous skill evolution are necessary because education in early adulthood cannot guarantee career-long preparedness. Adaptive skills—judgment, curiosity, flexibility, and risk tolerance—are increasingly critical for success in an AI-driven labor market. AI readiness requires both technical upskilling and higher-order capabilities: asking the right questions, knowing when to rely on AI and when to pause, and anticipating broader impacts beyond immediate outputs. Ongoing reskilling must align with changing job demands.
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