Local governments and lawmakers in California and Canada are introducing new rules and restrictions to manage the rapid growth of data center infrastructure.

加州與加拿大的地方政府及立法者正推出新規則與限制，以管理數據中心基礎設施的快速增長。

The increase in data centers, caused by the high demands of artificial intelligence and cloud services, has created a conflict between national goals and local concerns. In California, research shows that 70% of voters do not want these facilities in their neighborhoods. This opposition is mainly based on concerns about high energy and water use, environmental damage, and the risk that residents will pay higher utility bills. Consequently, the California State Legislature is considering Senate Bills 886 and 887. These bills aim to require strict environmental reviews and create special pricing for companies that use massive amounts of energy.

由於人工智慧與雲端服務的高需求，數據中心的增加造成了國家目標與地方關切之間的衝突。在加州，研究顯示 70% 的選民不希望這些設施出現在他們的社區中。這種反對主要基於對高能耗與用水量、環境破壞，以及居民將支付更高公用事業費用風險的擔憂。因此，加州州議會正在考慮參議院法案 886 與 887。這些法案旨在要求嚴格的環境審查，並為使用大量能源的公司制定特殊定價。

Similar trends are appearing in Canada, where the city of Hamilton has proposed a temporary ban on new data center construction. This move is intended to allow the city to analyze the impact and create a clear regulatory plan before more development occurs. In Canada, there is a tension between the federal government's AI strategy—which focuses on data security and independence—and local concerns about power grid stability. For example, the Manitoba government recently rejected a large project because the environmental costs were higher than the economic benefits. Furthermore, Ontario has seen a huge increase in energy requests, with the Independent Energy Systems Operator reporting a queue of approximately 6,000 MW.

加拿大也出現了類似趨勢，漢密爾頓市已提議暫時禁止新建數據中心。此舉旨在讓市政府在更多開發項目出現前，分析其影響並制定明確的監管計劃。在加拿大，聯邦政府專注於數據安全與獨立性的 AI 策略，與地方對電網穩定性的擔憂之間存在緊張關係。例如，曼尼托巴省政府最近拒絕了一項大型項目，因為環境成本高於經濟利益。此外，安大略省的能源需求大幅增加，獨立能源系統營運商報告其排隊需求量約為 6,000 MW。

Current trends show a move toward local bans and state regulations to reduce the heavy resource demands of AI infrastructure.

目前的趨勢顯示，方向正趨向於透過地方禁令與州政府監管，以減少 AI 基礎設施對資源的沉重需求。