When we look at our recent history, we can see that the need for energy forms the basis of important industrial transformations. Especially 1 and 2. Access to energy resources played an important role in the background of major turning points such as World War II. However, with the rapid development of artificial intelligence technologies in the last decade, the need for energy has come to the fore again. Countries that can provide the necessary energy infrastructure for artificial intelligence will come to the fore in world trade and many strategic areas, just like during the industrial revolution. The issue was also discussed at the World Economic Forum; The situation and future investments of the United States, China and the European Union in this field are discussed.

While the United States (40 companies) and China (15 companies) stand out in the development of modern artificial intelligence thanks to large-scale investments and strong infrastructures, the European Union (4 companies) has fallen behind in this race. One of the most important reasons why the EU lags behind in this race is the regulations in access to energy. As it is known, artificial intelligence models are developed with high-performance chips that work in huge data centers and consume high electricity. Therefore, artificial intelligence competition is increasingly turning into a race for electricity needs. While the United States is trying to meet its electricity needs by accelerating the investments of large-scale cloud companies such as Amazon and Microsoft Azure; China stands out both in patent production and state-supported infrastructure investments. When we look at the European Union, it is seen that despite its clean energy potential, it is having difficulty in attracting data center investments due to the slow pace of infrastructure investments, the fact that electricity connections can last for years, high energy costs and fragmented regulations. On the other hand, the EU aims to close the energy gap, increase the production of low-carbon technologies and increase its competitiveness by accelerating the green transformation with the Industrial Acceleration Act (IAA).

As a result, the Net Zero Center research conducted in the United Kingdom can be cited as the most current example of the effective use of artificial intelligence in terms of energy efficiency. UK households now coordinate more than 400,000 controllable assets and integrate more than 1.2 terawatt-hours (TWh) of distributed solar generation annually into grid and market operations. The research also found that using this technology for EV charging reduces consumers' bills by an average of £343 per year, reducing peak household demand by 42%. In addition, the pressure on the grid has been reduced by shifting all EV charging to the lowest demand hours.