The fast integration of artificial intelligence (AI) into the workplace is causing a major change in employment structures and how we value human mental skills.

人工智慧（AI）快速融入職場，導致就業結構以及我們對人類心智技能的評價產生重大改變。

Current technology is making repetitive technical skills less valuable. For example, in data science, AI can now create code and visualize data, meaning that basic coding skills are no longer enough for a long-term career. This is seen at large companies like Meta, where some employees have lost their jobs because AI is more efficient at performing specific, high-accuracy tasks. Similarly, the translation industry has shifted toward 'post-editing,' where humans simply correct AI-generated text. Consequently, this has led to lower pay and less professional satisfaction.

目前的技術使得重複性的技術技能價值降低。例如，在數據科學中，AI 現在可以編寫程式碼並將數據視覺化，這意味著基本的編碼技能已不足以支持長期職業發展。在 Meta 等大公司中即可見，部分員工因為 AI 在執行特定高精度任務時效率更高而失業。同樣地，翻譯產業已轉向「後編輯」，即人類僅負責修正 AI 生成的文本。因此，這導致了薪資降低且專業滿足感下降。

Different countries are handling this transition in different ways. In Sweden, strong unions have worked with employers to introduce autonomous systems collaboratively. In contrast, many workers in the United States lack this bargaining power and are more likely to face sudden termination. While some leaders, such as Yat Siu of Animoca Brands, argue that AI will encourage more human creativity and coordination, others warn that workers are being 'robotized' through constant digital surveillance and a loss of independent thinking.

不同國家處理這一轉型的方式各異。在瑞典，強大的工會與僱主合作，共同引入自動化系統。相比之下，許多美國勞工缺乏這種議價能力，更容易面臨突然被解雇。雖然部分領導者（如 Animoca Brands 的 Yat Siu）主張 AI 將激發更多人類的創造力與協調能力，但其他人則警告，工人正透過持續的數位監控與失去獨立思考而變得「機器化」。

Furthermore, the fact that a few private companies control most of the technology creates global economic risks. For instance, the dominance of SpaceX in space transport is compared to the historical power of the East India Company. This suggests that without government intervention, these monopolies could gain too much control over critical global areas. This problem is made worse because some tech executives oppose labor unions, which makes it harder for workers to negotiate how AI is used in their jobs.

此外，少數私人公司掌控大部分技術的事實造成了全球經濟風險。例如，SpaceX 在太空運輸領域的主導地位被比作歷史上的東印度公司。這顯示若缺乏政府干預，這些壟斷企業可能會在關鍵全球領域獲得過多控制權。由於部分科技高管反對工會，使得勞工更難就 AI 如何應用於工作進行協商，讓問題更加嚴重。

The global job market is currently unstable as AI replaces traditional roles. Therefore, it is necessary to rethink how we value human work and improve government regulation.

由於 AI 正在取代傳統角色，全球就業市場目前並不穩定。因此，有必要重新思考我們如何評價人類工作，並改善政府監管。