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AI infrastructure costs are declining by multiple orders of magnitude annually, driven by exponential improvements in GPU efficiency and model optimization, making tokens increasingly cheaper to use. Within 1-3 years, LLMs are expected to be integrated throughout computing systems as basic infrastructure rather than premium products, with frontier-quality models running locally on standard hardware. Quality and access, rather than token supply, will soon become the primary limiting factors for AI adoption.
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