Flat-fee AI subscriptions are dying. Anthropic, OpenAI, Microsoft, and GitHub Copilot are all moving toward usage-based pricing as agentic workflows drive token consumption far beyond what vendors anticipated when they set those original rates. The subsidy era, where providers absorbed inference costs to capture market share, is over.
The details inside this episode are worth your time because they are specific: capacity constraints at named vendors, concrete price multipliers, and how model metering works in practice. This is not speculation about a future shift. It is a breakdown of changes already affecting enterprise contracts and developer budgets right now.
The practical response outlined here is operational: audit your AI spend, run bake-offs against cheaper models, designate someone responsible for model selection, build escalation logic into your pipelines, and track costs on a live scoreboard. The companies that treat AI pricing as a procurement problem starting today will have a structural advantage over those that wait.
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