IDC research projects that skills shortages in AI and related technologies will cost the global economy up to $5.5 trillion by 2026 through delayed products, quality failures, missed revenue, and impaired competitiveness. Over 90% of global enterprises face what IDC classifies as critical AI skills shortages.
Key barriers to AI readiness identified in the report: lack of talent (46%), data privacy concerns (43%), poor data quality (40%), high implementation costs (40%), and unclear ROI on AI programmes (26%). Only a third of employees report receiving any AI training in the past 12 months, even as half of employers report difficulty filling AI-related positions.
IDC researcher Gina Smith estimates that AI coding tools and structured workforce training could trim as much as $1 trillion from the projected losses by 2027, but only if organisations move beyond ad hoc adoption towards systematic upskilling.
Relevance to the AI Gap thesis: The $5.5T figure quantifies the economic cost of inaction on AI literacy. It directly supports the case for mandatory employer training obligations (dimensions 6 and 7): the skills gap is not a future risk but a current drag on productivity and competitiveness. The finding that only one-third of employees have received training despite half of employers reporting hiring difficulties underscores the market failure argument — voluntary training is not closing the gap.