Dylan Patel Predicts AI Inference Market to Surpass Oil, with Long-Term Compute Shortage Expected

iconAiCoin
Share
AI summary iconSummary

Dylan Patel, founder of SemiAnalysis, stated that AI inference will become one of the world’s largest markets, surpassing oil and accounting for several percentage points of global GDP. Patel expects that by 2030, the combined power demand of OpenAI and Anthropic will exceed 100 gigawatts. He believes the primary constraints lie in terrestrial energy costs and power infrastructure capacity, making the migration of compute to space inevitable. Patel noted that improvements in AI efficiency primarily stem from model-layer and cross-layer optimization, with DeepSeek’s expert models specifically optimized for NVIDIA’s Hopper architecture. He added that Jensen Huang’s support for emerging cloud providers aims to prevent hyperscale cloud vendors from monopolizing compute resources. InferenceX shows that inference costs are declining by approximately 60 times annually, while intelligence per watt is improving by about 40 times.

Disclaimer: The information on this page may have been obtained from third parties and does not necessarily reflect the views or opinions of KuCoin. This content is provided for general informational purposes only, without any representation or warranty of any kind, nor shall it be construed as financial or investment advice. KuCoin shall not be liable for any errors or omissions, or for any outcomes resulting from the use of this information. Investments in digital assets can be risky. Please carefully evaluate the risks of a product and your risk tolerance based on your own financial circumstances. For more information, please refer to our Terms of Use and Risk Disclosure.