The rapid increase in data center construction by major technology companies has caused a complex mix of economic opportunities and ethical disagreements among skilled workers and young people.

大型科技公司快速增加數據中心建設，導致技術工人與年輕人之間出現了經濟機會與倫理分歧交織的複雜局面。

The growth of artificial intelligence (AI) infrastructure has created a high demand for specialized electrical workers, leading to intense competition for skilled staff. To solve these shortages, companies like Meta and Google have started vocational training programs. At the same time, the International Brotherhood of Electrical Workers (IBEW) has emphasized that union labor is essential for this technological change. However, this economic growth is met with a growing divide in the workforce. Some workers worry about long-term unemployment and the ethics of helping large corporations gain too much power. While some professionals feel judged for working on these projects, others take a practical approach, viewing the work as a natural industrial step or a necessary way to earn a living in a difficult economy.

人工智慧 (AI) 基礎設施的增長，導致對專業電工的需求激增，引發了對技術人才的激烈競爭。為了緩解短缺，Meta 和 Google 等公司已開始推出職業培訓計畫。與此同時，國際電工兄弟會 (IBEW) 強調，工會勞動力對於這次技術變革至關重要。然而，這種經濟增長也伴隨著勞動力市場日益加深的分歧。部分工人擔心長期失業，以及幫助大型企業獲取過多權力的倫理問題。雖然有些專業人士對於參與這些項目感到被評判，但其他人則採取務實態度，將其視為工業發展的自然步驟，或是在困難經濟環境中謀生的必要方式。

Alongside these labor issues, there is a wider feeling of doubt toward AI among the younger generation. This is seen in the rejection of AI-focused speeches at university graduations and a growing interest in 'cyberdecks'—custom computers that give users more control than corporate devices. This movement is not a total rejection of technology; instead, it is a demand for stricter ethical rules. Critics point out systemic failures in AI, such as algorithmic biases in hiring and healthcare that disadvantage women and minority groups. Consequently, there is a clear need for industry leaders and young creators to work together to ensure that technology is inclusive and transparent, rather than just focusing on speed.

除了勞工問題，年輕一代對 AI 普遍持有更深層的懷疑。這體現在大學畢業典禮上對 AI 主題演講的拒絕，以及對 "cyberdecks"（一種比企業設備提供更多控制權的自定義電腦）日益增長的興趣。這一運動並非完全拒絕科技，而是要求更嚴格的倫理規範。批評者指出 AI 存在系統性失效，例如在招聘和醫療保健中的演算法偏見，使女性和少數群體處於不利地位。因此，業界領袖與年輕創作者顯然需要合作，確保技術的包容性與透明度，而非僅僅追求速度。

The current situation is defined by a tension between the immediate economic need to build AI infrastructure and a rising demand for ethical responsibility and inclusive design.

目前的狀況定義為一種緊張關係：一面是建設 AI 基礎設施的即時經濟需求，另一面則是對倫理責任與包容性設計日益增加的需求。