Energy Management: The Use Of Wasted Energy For AI Computing

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Adrien Nejkovic Notícia

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Adrien Nejkovic is CEO at Hearst Capital: Pioneering sustainable tech & finance with AI, blockchain and renewable energy. Read Adrien Nejkovic's full executive profile here.

. Technologies such as artificial intelligence and blockchain have emerged as transformative forces but also have significant energy requirements. As an entrepreneur deeply involved in the tech industry, I have had the unique opportunity to negotiate and implement the use of wasted energy for AI computing and blockchain mining. This experience has not only opened my eyes to the immense potential of this approach but has also convinced me that it represents the future of energy management.

The first step was to identify potential sources of wasted energy. We focused on industries known for high energy consumption and significant waste, such as manufacturing and power generation. Partnering with these industries required extensive negotiations. We needed to demonstrate the mutual benefits of redirecting their wasted energy to our operations.

Secondly, this approach enhances the overall efficiency of energy use. Industrial processes become more sustainable as their energy waste is repurposed productively. This not only supports environmental goals but also offers economic benefits. Industries can lower their energy costs and earn incentives for contributing to sustainable energy practices.

Looking ahead, I believe this model can be scaled and applied globally. Governments and regulatory bodies can play a crucial role by creating policies and incentives that encourage wasted energy use. For instance, offering tax breaks or subsidies for companies that implement energy recovery systems can accelerate the adoption of this practice.

 

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