This paper analyzes the current status of the United States and China, which are the countries with the highest greenhouse gas emissions in a rapidly changing climate environment, and the resulting climate change problems. The U.S. is one of the countries with the highest greenhouse gas emissions and has a large historical responsibility. However, the U.S. is currently implementing policies against climate change by expanding the mining and use of coal and oil, and withdrawing from the Paris Climate Agreement. This poses a high risk of falling behind in the global energy transition flow, and there is a high concern that it will lead to economic and environmental retreat. As such, climate change has a growing physical impact on the world, and the recent LA wildfire is recorded as the worst wildfire, causing more than 200 trillion won in damage. It is what a combination of physical causes such as dry weather and tree density caused by climate change caused this wildfire. This raises the possibility that insurance companies may be on the verge of bankruptcy. Previously, AI models were generally focused on physical effects, but the empirical analysis of this paper found that these problems actually affect human damage more. This is why AI's algorithms should be designed and learned focusing on human effects. This paper emphasizes that responding to climate change is a cost that cannot be delayed any longer, and aims to offset this by activating AI models and suggest ways to respond to the climate crisis between Korea, the U.S. and China.