A ManpowerGroup survey reveals a critical AI skills gap in US organizations, with 70% struggling to find qualified workers amidst digital transformation. As the adoption of generative AI rises, the mismatch between rapid technological advancement and education is pronounced. By 2030, companies anticipate spending $42 billion on AI initiatives, yet job postings for related skills soared 2000% in 2024, outpacing training efforts. To close this divide, companies are prioritizing upskilling and reskilling while partnering with AI leaders to access talent and resources.
Even as organizations are racing to deploy AI to gain efficiencies, they're faced with a skills gap that isn't easy to close as needs continually evolve.
The AI talent shortage is most prominent among highly technical roles like data scientists/analysts, machine learning engineers, and software developers.
77% of US organizations have been negatively impacted by the IT skills gap, and 56% are choosing upskilling or reskilling as their biggest priority.
By 2030, companies are expected to spend $42 billion a year on genAI projects such as chatbots, agents, research, writing, and summarization tools.
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