AI tokens are becoming a major cost center as model providers chase growth, enterprise margins, and public-market expectations. Developers and startups need better pricing strategy, smarter architecture, and leaner prompts to stay competitive. #ai #machinelearning #llms #startups #softwaredevelopment #cloudcomputing

For the last two years, generative AI has felt like a gold rush. New models arrived fast, capabilities improved almost monthly, and teams of every size rushed to build copilots, chatbots, research assistants, internal search tools, and workflow automation around large language models. In that early phase, the main question was often what AI could do.

Now a different question is moving to the front: what will it cost to keep doing it at scale?

That is where the idea of a