Software that transacts

The agentic economy arrives when our software stops advising us and starts acting for us, with money attached.

The current generation of AI tools sits one step removed from consequence. It drafts, suggests, summarises, and then waits for a human to press the button. The next generation will press the button itself: booking the freight, negotiating the renewal, rebalancing the inventory, paying the invoice. When that happens, software stops being a tool we use and becomes an agent that acts on our behalf.

This is a larger shift than it sounds. A tool that advises can be wrong without much cost; you simply ignore it. An agent that transacts is wrong expensively, in public, and sometimes irreversibly. The entire trust architecture has to change. We will need ways to grant an agent a budget but not a blank cheque, to set limits it cannot exceed, to prove afterwards exactly what it did and why, and to unwind a mistake before it compounds.

The hard part of the agentic economy is not making software act. It is making software accountable when it does.

Almost none of the financial plumbing we rely on was designed for this. Identity, authorisation, settlement, and dispute resolution all assume a human is ultimately in the loop, borrowing the machine's speed but keeping the machine's hands off the till. An economy where agents are first-class participants needs rails built for machines as principals, not as scripts impersonating their owners.

That gap is where we are looking. The companies that build the guardrails, the metering, the audit trails, and the machine-native payment rails for autonomous software will sit underneath an enormous amount of future economic activity. The agents will get the attention. The infrastructure that keeps them honest will get the returns.