Greg Osuri, founder of decentralized cloud computing platform Akash Network, has issued a stark warning about the escalating energy demands of artificial intelligence systems. In an exclusive interview with Cointelegraph, Osuri cautioned that current AI training methodologies are becoming increasingly unsustainable and may soon require nuclear-level power generation to meet computational requirements.
The blockchain entrepreneur emphasized that the exponential growth in computational resources needed for advanced model training poses significant challenges to global energy infrastructure. Osuri’s comments highlight growing concerns within the technology sector about the environmental impact of large-scale AI operations and their potential strain on power grids worldwide.
Rather than continuing with energy-intensive approaches, Osuri advocates for developing more sustainable computational frameworks. His perspective carries particular weight given Akash Network’s position in the decentralized computing space, where resource optimization and efficient allocation are fundamental principles.
The warning comes amid increasing scrutiny of technology’s environmental footprint, with major tech companies facing pressure to adopt greener practices. Osuri’s comments suggest the industry may need to fundamentally rethink how computational resources are utilized for advanced technological applications to prevent potential energy crises.
