Recently, at the highly anticipated AI + Energy Summit, Google's former CEO Eric Schmidt made a highly controversial statement. He pointed out that the power demand for AI computing is immense, and the current climate goals are nearly unattainable. Therefore, he suggested abandoning traditional climate protection objectives in favor of fully supporting AI development, with the expectation that AI will be able to solve global warming in the future.

During his speech, Schmidt stated that the primary reason we have failed to achieve our climate targets is due to shortcomings in our organization and execution. However, he believes that AI has the capacity to overcome these deficiencies and help us reach goals that once seemed out of reach. He called on all sectors of society to provide AI companies with more power, land, and infrastructure to accelerate their development.

Schmidt further emphasized that the advancement of AI not only drives technological progress but also significantly enhances energy efficiency, thereby reducing energy consumption. He pledged that AI companies will improve the efficiency of energy production systems by at least 15% in the coming years. Although AI development indeed requires substantial energy support, Schmidt considers it worthwhile because AI has the potential to find new solutions to climate issues. He warned that limiting AI's development could lead to even more severe climate challenges.

However, Schmidt's viewpoint sparked intense controversy at the summit. Some attendees argued that the climate crisis is one of the greatest challenges humanity currently faces, and we cannot abandon the pursuit of climate goals for the sake of AI development. They pointed out that climate change has already had profound impacts on the global ecosystem and human life, and failure to act immediately could result in catastrophic consequences.

Meanwhile, there are also individuals who support Schmidt's perspective. They believe that AI possesses tremendous potential and value, capable of assisting humanity in solving numerous problems, including climate change. AI technology can not only improve energy efficiency and reduce pollution but also drive the research and innovation of clean energy technologies.

However, some experts have expressed concerns about Schmidt's optimistic stance. They note that the development of AI could lead to an increase in energy demand rather than a decrease. This phenomenon is known as the 'Jevons Paradox,' where improved efficiency in resource use often leads to increased consumption due to lower costs.

Additionally, some worry that placing the future of humanity entirely on AI could introduce unpredictable risks. They call for maintaining focus and investment in traditional climate protection goals while promoting AI development to achieve sustainable development and ecological balance.