We are used to paying for software by the user, the month or the campaign. AI agents could change that equation. As autonomous systems begin to work continuously, use multiple models and eventually transact on our behalf, marketers may have to think about AI not simply as another tool, but as a new kind of operating cost.
Most marketers still experience AI as something they actively use. They open a tool, ask it to write a headline, analyze some data or summarize customer feedback, and then move on to the next task.
An AI agent works differently. Imagine a system that monitors campaigns throughout the day, checks competitors, analyzes audiences, generates creative variations, adjusts recommendations and calls other AI models whenever it needs them. Nobody has to keep prompting it, but every one of those activities consumes computing resources.
As AI moves from occasional assistant to always-on worker, that distinction starts to matter financially. It is also the idea behind Singapore-based Accels, which has launched a platform combining AI infrastructure with financial services for what it calls the “AI token economy.”
For marketers, the interesting part is less the term itself than what sits behind it: if AI agents are going to work continuously, someone has to pay for all that thinking.
What happens when software stops charging by the seat?
Most MarTech pricing models are familiar. Companies pay per user, subscription, contact, impression or transaction. AI agents do not fit...
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