Despite significant damage to its naval fleet, shipyards, and production facilities from recent strikes, Iran is expected to quickly reconstitute its military industrial base. This reconstitution relies heavily on importing dual-use components, such as machine tools, drone parts, and marine engines, through alternative routes like Pakistan or China. To counter this threat, the report advises that policymakers must extend sanctions mechanisms—particularly 'no reexport' clauses—and proactively engage third countries with direct access to Iran. Furthermore, monitoring allied firms dealing with key suppliers in China and Turkey is crucial to slowing down and raising the cost of necessary procurements.
AI, work, and the future of global competitiveness
English Summary
AI adoption is identified as the primary driver of global economic competitiveness, shifting the focus from model development to effective, widespread deployment across sectors. While AI holds massive productive potential—estimated at up to $6.6 trillion across major economies—this potential is hampered by existing skills gaps and labor market rigidity. Therefore, the key policy imperative is coordinated action: governments, businesses, and educational institutions must collaborate to create responsive labor markets. This strategy is essential to rapidly upskill the global workforce, ensuring that talent can match economic opportunity and build a resilient, productive economy in the AI era.
中文摘要
AI的導入已被認定為全球經濟競爭力的主要驅動力，這使得政策焦點從模型開發轉向跨行業的有效、廣泛部署。儘管AI擁有巨大的生產潛力——預計在主要經濟體中可達六.六兆美元——但此潛力受到現有的技能缺口和勞動市場僵化所限制。因此，關鍵的政策重點是協調行動：政府、企業和教育機構必須合作，共同建立具應變能力的勞動市場。此策略對於快速提升全球勞動力技能至關重要，確保人才能夠匹配經濟機會，從而在AI時代建立一個有韌性、高生產力的經濟體。
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