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Cost of AI Intelligence Dropping by 50% Per Quarter

According to research cited from Epoch AI, the cost of AI intelligence is dropping by roughly 50% per quarter. This rate of cost reduction significantly outpaces historical cost decline rates for compute power, DNA sequencing, lithium batteries, and electricity. Rapidly declining inference costs make advanced AI capabilities vastly more accessible, accelerating the deployment of complex autonomous AI systems. As costs continue to plunge, executing intensive tasks like local AI coding agents on everyday personal hardware will soon become economically viable. The 50% quarterly drop is estimated to be 4 times faster than historical cost declines in DNA sequencing, 6 times faster than compute, and 18 times faster than lithium-ion batteries. However, these figures focus primarily on inference efficiency rather than the massive upfront capital expenditures required to train new frontier models.

## BACKGROUND

Epoch AI is a multidisciplinary research institute that investigates trends and trajectories in artificial intelligence development, training compute, and algorithmic efficiency. AI inference refers to running a trained model to generate outputs, which traditionally required expensive cloud computing hardware. AI coding agents are autonomous software tools powered by large language models that can plan, write, and debug code across complex software projects.

## REFERENCES

## KEYWORDS

#artificial-intelligence#ai-economics#llm#benchmarks

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