Agentic AI · Anthropic · Microsoft · AI Agent · Claude · India · BBC Technology
Tokenomics: Why making AI pay is tricky
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If you have used a free version of ChatGPT or any of its AI rivals, then you are obviously getting a good deal.
Key facts
- The bank forecasts that, external token consumption will increase 24 times between 2026 and 2030 to 120 quadrillion tokens a month, as companies shift to use AI agents
- Trying to tie someone into a cost model for the next 12 months, two years, three years, it doesn't make any sense, honestly, because we don't know," says Simon Gooch at Saviynt, an identity
- Will Venters, associate professor of Digital Innovation and Information Systems at the London School of Economics, said companies can be caught out as they experiment with or implement AI internally
- Companies also needed to be much more precise with their prompts, says Rob Steele, CFO at UK accounting software firm iplicit
Summary
Firms like Microsoft, Google and Anthropic have invested hundreds of billions of dollars in developing Large Language Models (LLMs) the tech behind those services. So getting ChatGPT, Claude or Gemini to help with your speech or holiday plans is a bargain. But, naturally, those firms want to recoup their investment, so they offer paid-for versions of their AI, which have extra features for tasks like coding or billing. Meanwhile, third party firms are building and selling services based on AI agents, usually based on an LLM, which are trained to do specific tasks.