최신자료
De-Skilling the Knowledge Economy
Despite the importance of mid-level workers to sectors like finance, business services, government, and health care, many of these workers are vulnerable to de-skilling, job loss, and forced transitions as AI platforms absorb tasks once handled by humans.
Workers who pair skills like AI literacy with emotional intelligence, critical thinking, and adaptability will be better positioned to move into new roles helping manage and supervise AI systems, while others may struggle to remain competitive.
Current workforce programs are underfunded, backward-looking, and poorly aligned to local needs. Improved forecasting, expanded training accounts, stronger early education, and targeted reemployment support are essential to reduce inequality and promote opportunity.
Workers who pair skills like AI literacy with emotional intelligence, critical thinking, and adaptability will be better positioned to move into new roles helping manage and supervise AI systems, while others may struggle to remain competitive.
Current workforce programs are underfunded, backward-looking, and poorly aligned to local needs. Improved forecasting, expanded training accounts, stronger early education, and targeted reemployment support are essential to reduce inequality and promote opportunity.
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