The rapid economic growth of artificial intelligence (AI) is causing a shift in US political dynamics. This change is marked by strong corporate lobbying and an increasing need for proactive government planning to manage social and economic effects.

人工智能（AI）的快速經濟增長正導致美國政治動態的轉移。這種轉變以強大的企業遊說以及政府為管理社會與經濟影響而日益增加的主動規劃需求為特徵。

The integration of AI into the global economy is moving at an incredible speed. For example, Anthropic's reported annual revenue rate of $47 billion shows a growth pace that could soon exceed the world's largest companies. This rapid expansion creates a risky environment where sudden economic disruptions might force opposing political parties to work together to create emergency safety nets. This would be similar to the legislative responses seen during the 2008 financial crisis and the 2020 pandemic. However, history shows that while politicians often agree on spending during a crisis, this cooperation is usually temporary and disappears once the emergency ends.

AI 融入全球經濟的速度快得令人驚訝。例如，Anthropic 報告的年收入率達 470 億美元，顯示出其增長速度可能很快就會超越全球最大公司。這種快速擴張創造了一個風險環境，突然的經濟動盪可能會迫使對立的政黨合作，以建立緊急安全網。這將類似於 2008 年金融危機和 2020 年疫情期間看到的立法回應。然而，歷史表明，雖然政治人物在危機期間通常會就支出達成共識，但這種合作通常是暫時的，一旦緊急情況結束便會消失。

At the same time, the AI industry is using its financial power to influence laws. Political Action Committees (PACs), such as 'Leading the Future' and 'Public First Action,' have spent tens of millions of dollars to affect the 2026 midterm elections. Although these groups have different views on whether federal or state laws should take priority, they both want to shape the rules of the industry. Some analysts emphasize that the industry's focus on 'AI safety' may actually be a marketing strategy designed to keep a few companies in power while pretending to reduce risks.

與此同時，AI 產業正利用其財力來影響法律。例如「Leading the Future」和「Public First Action」等政治行動委員會（PACs），已花費數千萬美元以影響 2026 年的中期選舉。儘管這些團體對於聯邦法律或州法律應優先適用的看法不同，但他們都想塑造產業規則。部分分析師強調，產業對「AI 安全」的關注，實際上可能是一種行銷策略，旨在維持少數公司的權力，同時假裝在降低風險。

On a local level, there is bipartisan opposition to the construction of AI datacenters. Local leaders are concerned about the waste of land, rising energy prices, and the lack of new jobs for local residents. Furthermore, critics argue that focusing only on buildings ignores the bigger problem of wealth concentration. While some companies have used lawsuits to build their centers, there is a possibility that the demand for large datacenters will drop if the industry moves toward smaller models that run directly on local devices, which could turn current expansions into an economic bubble.

在地方層級，兩黨均反對建設 AI 數據中心。地方領導者擔心土地浪費、能源價格上漲以及當地居民缺乏新職缺。此外，批評者認為僅關注建築物會忽略財富集中這個更大的問題。雖然部分公司透過訴訟來建設其中心，但如果產業轉向直接在本地設備上運行的更小模型，對大型數據中心的需求可能會下降，這可能導致目前的擴張變成一個經濟泡沫。

The US is now at a critical point where AI is advancing faster than the laws and social systems can keep up. Consequently, the country remains vulnerable to economic instability unless the government develops clear and actionable policy alternatives.

美國目前處於一個關鍵點，AI 的進展速度快於法律與社會系統的更新。因此，除非政府制定出清晰且可行的政策替代方案，否則該國仍容易受到經濟不穩定影響。