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Gartner: LLM token costs fall 95% by 2030 but agentic workflow inference costs rise 5x in two years

Gartner research reported by CIO finds that while LLM token prices will fall 95% by 2030, agentic AI workload costs will rise more than fivefold over the next two years, a trend Gartner calls the inference paradox. The increase stems from AI app builders using more and more expensive tokens as models grow complex, making innovation velocity outpace cost reduction.

read1 min views2 publishedAug 19, 2026
Gartner: LLM token costs fall 95% by 2030 but agentic workflow inference costs rise 5x in two years
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According to Gartner research reported in CIO, while LLM token prices will decline 95% by 2030, overall agentic AI workload costs are increasing more than fivefold over the next two years—a phenomenon Gartner terms the inference paradox. The cost increase occurs because AI app builders use more and more expensive tokens as models grow more complex, meaning innovation velocity outpaces cost reduction. This creates a divergence between unit economics and total cost of ownership for agent-based systems.

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