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Artificial Intelligence & Software
arXiv:2610.xxxxx [cs.AI, cs.CL]● Camera-ReadyOctober 2026
Plain English Explanation

Why AI Coding Costs Explode 32x & Who Truly Makes Money from AI

A study of 646 Trillion words: free open models handle 66% of queries, but closed giants take 60% of revenues

What We Discovered In Simple Terms

We analyzed 646 Trillion words generated across over 1,000 AI models worldwide to answer a simple question: Where does the money in AI actually go? We discovered two big surprises: First, free open-source models handle nearly two-thirds of worldwide usage, but closed corporate giants pocket 60% of all revenues. Second, when developers use AI coding assistants on real projects (50+ questions), costs don't increase steadily—they explode by 32 times because the software re-reads the entire chat history on every single turn.

Why This Matters To Everyday People

If you use AI coding tools or run a business with AI, you are overpaying by up to 32x unless you prune chat history. For everyone else, this proves open-source AI is doing the heavy lifting on the internet even while closed tech giants collect the cash.

Formal Academic Title (for Researchers & Citations):
Volume–Revenue Bifurcation, Super-Linear Multi-Turn Agent Escalation, and the Reasoning Pareto Frontier
An Empirical Study of Global LLM Gateway Telemetry Across 1,091 Model Endpoints
Ajmal Baba•Zannix Labs (Independent Research)

646.2T

Total Tokens

1,091

Active Model Endpoints

218

Agent Coding Harnesses

365 Days

Telemetry Span

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