AI training

AI Skills Gap: What Enterprises and Educators Must Do Now

AI Skills Gap: What Enterprises and Educators Must Do Now

The AI skills gap is not a pipeline problem that will resolve on its own. ECI Research principal analyst Paul Nash and Schiller International University professor Chad Dehmler examine how prompt engineering, generalist hiring, and reverse mentoring reshape workforce strategy in an AI-native era. The organizations that close this gap fastest will treat AI fluency as a continuous, measurable practice rather than a one-time training event.

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Enterprise AI Training Gap: Employees Left Behind | ECI Research

Enterprise AI Training Gap: Employees Left Behind | ECI Research

TrustedTech’s latest research finds that 78% of decision-makers are confident using AI at work versus just 43% of employees, while 36% of workers are self-teaching without employer guidance. ECI Research argues this enterprise AI training gap is more than a workforce development problem — it’s a live security and governance risk. Organizations that treat AI enablement as optional are already paying the price in elevated exposure and constrained innovation capacity.

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