By PYMNTS
Publication Date: 2026-05-21 02:07:00
For years, artificial intelligence in business meant a feature. A smarter search bar. A fraud score. A recommendation engine tucked inside a larger product.
What’s arriving now is different. AI agents take instructions, break them into steps and finish the job. A finance team’s AI agent doesn’t flag an anomaly and wait for a human to investigate. It investigates, pulls the relevant records, drafts the memo and routes it for review. The compute infrastructure required to do that is nothing like what powered the last generation of AI.
“Agentic AI has arrived,” Nvidia CEO Jensen Huang said on the company’s fiscal first-quarter earnings call. “AI can now do productive and valuable work. Tokens are now profitable.” Infrastructure that is powering agents completing real work is no longer discretionary spending. It carries a return on every task it finishes.
Two Layers Behind AI Workflow
An AI agent doing real work inside a business operates in two layers. One handles reasoning. The other handles execution.
“All of the thinking happens on GPUs,” Huang said. “All of the orchestration essentially runs on CPUs. If the AI were to do a search, use a browser, that would run on the CPU.”
An agent processing a chargeback reasons through the evidence on one layer of hardware. It then pulls the transaction records, files the response and updates the case log on a second layer. The reasoning layer has existed for several years. The execution layer is what’s new….