IMF Warns AI Could Erase Entry-Level Jobs for Young Workers

International Monetary Fund Managing Director Kristalina Georgieva warned that rapid artificial intelligence adoption threatens to eliminate entry-level positions, fundamentally disrupting career progression for young workers. Speaking at a panel during the IMF-World Bank Annual Meetings in Bangkok from October 12 to 18, Georgieva characterized the technological shift as a tsunami for employment, noting that while AI-driven infrastructure investment sustains global economic expansion, it does not translate into improved opportunities for new graduates. According to IMF projections, approximately 40 percent of jobs worldwide are susceptible to AI disruption, with the figure rising to 60 percent in advanced economies. The impact will be uneven, with certain roles enhanced, others downgraded, and many automated entirely. Georgieva emphasized that young entrants to the labor market face the steepest challenges. Traditional career pathways historically relied on entry-level, routine positions as foundational stepping stones for advancement. As these roles disappear, the linear career ladder is being replaced by a lateral progression model requiring strategic sideways moves rather than vertical promotions. Industry analysts also note a corresponding shift toward hiring for adaptability and interpersonal capabilities over narrow technical proficiency. The broader macroeconomic backdrop underscores the complexity of this transition. AI infrastructure development, particularly across Asia, is currently anchoring global growth near 3 percent despite lingering energy supply constraints. However, this top-down economic stability masks a bottom-up labor market contraction. Georgieva cautioned that governments must urgently recalibrate tax frameworks that have long depended on labor income, preparing for a future where capital and automated systems dominate production. She urged policymakers to prioritize comprehensive education reform, emphasizing that the traditional model of acquiring a fixed skill set for a lifetime is obsolete. Lifelong learning must become a structural necessity, supported by institutional frameworks that facilitate continuous reskilling. The briefing highlights a critical divergence between aggregate economic indicators and individual career trajectories. As AI accelerates productivity and capital investment, labor markets face a structural realignment that disproportionately impacts early-career professionals. Success in the emerging economy will depend on agile skill acquisition, policy adaptation, and a fundamental rethinking of how work, education, and taxation intersect in an automated age.