The Briefing · September 12, 2026
The day in one read
A fundamental restructuring of enterprise AI infrastructure is underway, driven by the rapid adoption of open-source models that are closing the intelligence gap with proprietary frontier systems. Ollama, utilized by 9 million developers and 85% of the Fortune 500, reports that token usage on its cloud platform has grown 150x since the start of the year, with per-developer weekly consumption jumping from 15 million to over 100 million tokens. This surge is fueled by the integration of coding agents and automation tools, which have made high-volume, low-cost workloads viable. Jeffrey Morgan, Ollama’s CEO, predicts that 80-90% of enterprise tokens will flow through open models within the next few years, although these will likely account for only 10-20% of total AI spend due to their lower per-token costs. He argues that open models are now within three months of frontier closed models in intelligence, enabling a hybrid architecture where routine tasks are handled by open-weight systems while complex reasoning remains the domain of proprietary frontier models.
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7 min read · 10 episodes