The end of the world may be a little exaggerated

Even if it turns out that artificial intelligence is not as much as people make, it can still clarify the troubles of energy networks throughout the United States.

Technology companies are already burning by increasing quantities of electricity to train and operate new AI models. They ask for a lot of electricity as they try to get rid of each other. This increasing demand has already begun to reshape the power system, as facilities stood to build new gas factories and pipelines.

But all these plans to reshape the American energy system can be based on on Amnesty International bubble. with Excessive investors Pump In technology companies Fear of losing the cart But it is still at risk of developing artificial intelligence tools that eventually flounder, facilities also face a wave of speculation about the energy centers ’energy needs.

The uncertainty raises anxiety in view of the costs that Americans can end up when it comes to Top interest bills And more pollutionaccident a report Warning. The transition to energy sources was more clean and reasonable Progress Slowly in the United States. This is at risk unless technology and facilities companies require more transparency and choose more renewable energy sources such as solar energy and wind energy.

“While the artificial intelligence boom provides exciting opportunities, there are many risks to not approaching energy needs through a deliberate and informed response that takes long -term effects,” said Kelly Paul, the main author of the report that she published this month with the invitation group for shareholders.

The country’s gas stations fleet in the country will grow by about a third of nearly a third of the new gas projects proposed between January 2023 and January 2025, with the dysfunctional intelligence industry heated. The amount of the new gas capacity suggested by the facilities and independent developers jumped by 70 percent during this time frame, driven in a large part of the high demand for electricity in the data center.

Before the Ontipeproofing IQ, the demand for electricity was largely flat For more than a decade With energy efficiency gains. But the new data centers, which have been expanded for artificial intelligence, are more controversial than they were in the past. Dan Timeson, a major research analyst at the S&G Global, may use that a group of computers in the traditional data center may use 6-8 kilowatts of energy-almost equivalent to the power used by three homes in the United States, and is a major research analyst at S&P GLOBAL. However, artificial intelligence requires more powerful computer chips to run more complex tasks. The energy required to operate one of these high -density shelves is equal to about 80 to 100 homes of strength, or up to 100 kW, according to Tompson.

“What is seen mainly is the strength of a small town that is spread,” he said.

Why is this important? Power networks mainly act as an unstable budget. If the energy supply is not able to meet the growth growth, this may lead to high utility bills and possible interruption. On the other hand, the excessive building of new capacity risks creates means of ways that the facilities end and their customers are paid for whether they already need them in the long run or not. For this reason it is extremely important to try to get accurate expectations for the future.

While artificial intelligence uses a lot of energy, expectations for the future become mysterious. “The speculators overwhelm the market,” the report says, seeks to build and heart centers. In an attempt to move forward in long waiting times to connect to the power network, some of these speculators ask for energy even before they get capital or customers to ensure that they can bring a project to the finish line. There can also be some double or triple count (or more) when it comes to predicting the demand for artificial intelligence because developers approach more than one benefit to get many quotes.

In the southeast, a major center for data centers, the auxiliary tools expect the demand for the growth of four times compared to independent analyzes of industry trends, According to a report earlier this year from the Institute of Energy and Financial Analysis (IEFA). At the national level, the facilities are preparing for the growth of demand by 50 percent more than the technology industry expects, and it is separate a report From December 2024 countries.

The same facilities have realized these risks on the last profit calls. The proposed projects trying to connect to the network “may be exaggerated anywhere from three to five times what may actually be achieved,” said Jim Burke, CEO of Vixra Energ and based in Texas, said at the profits of the first quarter Call this year.

Despite the uncertainty, they still build new stations and gas pipelines to meet this request. After all, building a new infrastructure is one of Most of the profitable methods to benefit the profits. Now, the Trump administration – which was its campaign Supported by oil and gas contributions – He is Motivating dependence on fossil fuels. In Louisiana, for example, the local benefit Building three new gas factories To run a new giant dead data center. The data center is estimated to consume up to 1.5 million homes and lead to 100 million tons of carbon emissions over 15 years.

It is a blatant contradiction from the Biden administration goal From obtaining the energy network to operate it on a 100 percent carbon pollution free by 2035. The only way to stop climate change in its paths is to get rid of the planet pollution from fossil fuel. It is clear that building a new gas infrastructure moves the nation in the opposite direction.

There are solutions to reduce all these risks to a minimum, as they are planted and sierra Club in their report. The auxiliary tools for developers can require revealing the number of other facilities they have provided by their data center’s proposal to the extent to which they put the finishing touches on the project. Upon editing contracts, long -term service agreements can also require non -recovered deposits, and raise fees to cancel the project.

It is clear that technology companies have a great role that also plays, by improving energy efficiency in their technologies and investing in renewable energy sources. For years, technology giants including Amazon, Meta and Google were Senior companies buyer From renewable energy. Editing these types of long -term agreements to build solar energy farms and new winds can have a greater impact now, which opposes the Trump administration Financial incentives decline For renewable energy sources, if companies are ready to determine the priorities of their sustainability goals as much as the aspirations of artificial intelligence.