How companies are training next-gen AI talent, to avert skills shortage

And while workforce adoption of AI isn’t novel on its own, rapid innovations and their accelerated proliferation have created a new race to recruit, train and apply the best AI talent, to fill what some have described as an “AI skills shortage crisis.”

In just a few months, developing new AI tools and teaching how to use them have become top priorities across a range of industries. Increased attention — and the money that comes with it — has led many business leaders to feel both urgency and concern: What do employees need to learn, how can they start, and what will it all mean for current and future jobs?

Since Microsoft sparked a frenzy in January with its $10 billion investment in OpenAI, startups and giants alike have made innumerable bets on various types of generative AI. In April, the accounting giant PwC announced a $1 billion investment to scale generative AI and upskill 65,000 people with ways to “work faster and smarter.”

A few weeks later, the analytics firm SAS also announced a $1 billion three-year plan. Other companies have recently created AI-focused programs for both employees and clients. In March, Accenture announced a new Large Language Model Center Of Excellence, which was followed by IBM in May with a Center of Excellence focused on generative AI.

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