New Rules for AI Data Centers in Texas and New Jersey
德州與新澤西州針對 AI 數據中心實施新規定
Introduction
Authorities in Texas and New Jersey are introducing new restrictions on the growth of AI data centers to reduce pressure on public infrastructure and avoid financial risks.
德州與新澤西州的當局正對 AI 數據中心的增長引入新限制,以減輕公共基礎設施的壓力並避免財務風險。
Main Body
In Texas, the government's approach has changed significantly. Governor Greg Abbott, who previously supported AI investment, now argues that data centers should not be built in rural residential areas. This change is based on the need to protect local residents from paying for power grid upgrades and to save water resources. Consequently, the Governor has ordered that developers must pay for all their own infrastructure costs. Furthermore, he has proposed ending tax incentives, asserting that these large companies have enough money to operate without state subsidies.
在德州,政府的做法已發生重大變化。州長 Greg Abbott 先前支持 AI 投資,現在則主張不應在鄉村住宅區建設數據中心。這一改變是基於保護當地居民免於支付電網升級費用以及節約水資源的需求。因此,州長已下令開發商必須自行支付所有基礎設施成本。此外,他建議取消稅務優惠,並斷言這些大公司擁有足夠的資金營運,無需州政府補貼。
Similarly, New Jersey has taken legislative action. The state has approved three main measures: the 'End Data Center Tax Credits Act,' which removes $250 million in future tax breaks; a new rule requiring utility companies to charge high-energy users different rates so that small businesses do not pay more; and a requirement for companies to report their water and energy use every six months. These steps are designed to increase transparency and ensure the state does not lose money.
同樣地,新澤西州已採取立法行動。該州批准了三項主要措施:《終結數據中心稅收抵免法案》,取消 2.5 億美元的未來稅務減免;一項新規定,要求公用事業公司對高能耗用戶收取不同費率,以免小企業承受更高成本;以及要求公司每六個月報告一次用水和用電量。這些步驟旨在提高透明度,並確保州政府不會蒙受損失。
However, some experts believe there is a gap between these political goals and practical reality. While some argue that these sustainable rules follow industry standards, others claim that the government cannot easily control energy prices through executive orders. Instead, they suggest using flexible power models to use electricity when demand is low. Additionally, there are concerns about turning farmland into industrial zones and whether these centers provide enough permanent jobs to justify the land use.
然而,部分專家認為這些政治目標與實際情況之間存在差距。雖然有人認為這些永續規則符合行業標準,但也有人聲稱政府無法透過行政命令輕易控制電價。相反,他們建議使用靈活的電力模型,在需求較低時用電。此外,人們擔心將農地轉為工業區的問題,以及這些中心是否提供了足夠的永久職位來證明土地利用的合理性。
Conclusion
Both states are moving away from offering unlimited incentives and are instead creating regulations that focus on sustainability and making companies pay their own costs.
這兩個州正逐漸擺脫提供無限優惠的做法,轉而制定專注於永續發展並要求公司自行承擔成本的法規。
Vocabulary Learning
⚡ The 'Logical Glue' Shift
At the A2 level, you likely use simple connectors like and, but, or because. To reach B2, you need Transition Signals. These are words that tell the reader how the next idea relates to the previous one.
Look at the article's professional 'glue':
- Adding a similar point: (Used when New Jersey does something like Texas).
- Showing a result: (Because the Governor wants to protect residents, therefore developers must pay).
- Adding more information: (Not only this rule, but also this other rule).
- Introducing a contrast: (The government has a plan, but experts disagree).
🛠️ Upgrading Your Vocabulary: Precision over Simplicity
B2 students stop using "general" words and start using "specific" ones. Notice these swaps from the text:
| A2 Word (Basic) | B2 Word (Precise) | Why it's better |
|---|---|---|
| Change | Significantly changed | Tells us how much it changed. |
| Rules | Restrictions / Regulations | More professional and legal. |
| Giving money | Subsidies / Incentives | Specific to business and government. |
| Clear | Transparency | Describes the concept of being open. |
🧐 The 'Hedge' Concept
Notice this phrase: "some experts believe there is a gap."
In A2, we often say: "There is a gap." (Fact) In B2, we use Hedges (believe, suggest, claim, argue).
Why? Because in professional English, you rarely state an opinion as a 100% fact. Using words like "suggest" or "claim" makes your writing sound more academic and cautious, which is a requirement for B2 fluency.