Artificial intelligence is currently being added to company operations, national governments, and school systems. This change is causing a major shift in the skills workers need and the strategies that institutions use.

人工智慧目前正被導入公司營運、國家政府及學校系統中。這項改變正導致勞工所需技能以及機構所採用的策略發生重大轉移。

Many companies are moving toward a system where AI handles tasks, but human experts must still check the results. For example, Genpact emphasizes the need for 'process intelligence,' which means understanding the business context before applying AI. However, this transition is difficult because of 'enterprise debt,' which includes old technology and a lack of skilled staff. Experts suggest that companies should use a 'dual-velocity' approach, meaning they should fix old systems while deploying new AI tools at the same time.

許多公司正趨向於一種由 AI 處理任務，但仍需由人類專家核對結果的系統。例如，Genpact 強調需要「流程智能」，意即在應用 AI 之前必須理解商業背景。然而，由於「企業債」的存在，這項轉型十分困難，其中包括陳舊的技術以及缺乏專業人才。專家建議公司應採取「雙速」方法，即在部署新 AI 工具的同時，同步修復舊系統。

In the public sector, the U.S. government has increased its use of AI by 70%, using it for sensitive tasks like managing nuclear reactors. Some critics argue that the U.S. lacks transparency compared to Canada and France. Meanwhile, South Korea is focusing on economic growth and creating its own AI models. Although this approach promotes development, it has caused tension with labor unions and raised concerns about the accuracy of AI tools in education.

在公共部門，美國政府將 AI 的使用率提高了 70%，將其用於管理核反應爐等敏感任務。部分批評者認為，與加拿大和法國相比，美國缺乏透明度。與此同時，南韓正專注於經濟成長並開發自身的 AI 模型。雖然這種做法促進了發展，但卻引起了與工會的緊張關係，並引發對 AI 工具在教育領域準確性的擔憂。

The job market is also changing. PwC reports that entry-level jobs now require leadership and strategic skills that were previously only expected from senior staff. Furthermore, while some companies claim that AI is causing layoffs, analysts suggest these cuts may actually be a correction after over-hiring during the pandemic. At the same time, leaders from Microsoft and Snowflake warn that companies must protect their own unique knowledge to avoid becoming too dependent on a few large AI providers.

就業市場也在發生變化。PwC 報告指出，入門級職位現在需要過去僅對高階員工要求的領導力與策略技能。此外，雖然部分公司聲稱 AI 導致裁員，但分析師認為這些削減實際上是疫情期間過度招聘後的修正。同時，Microsoft 與 Snowflake 的領導者警告，公司必須保護自身獨有的知識，以避免過度依賴少數大型 AI 供應商。

The current global situation is defined by a conflict between the desire for AI efficiency and the need to redesign how humans work and how governments operate.

目前的全球局勢是由於對 AI 效率的追求，與重新設計人類工作方式及政府運作需求的必要性之間的衝突所定義。