I Asked My AI Agent To Find Caitlin Clark’s New Shoe

AI agents are beginning to shop, compare prices, and even initiate payments on behalf of millions of consumers — and the financial system is scrambling to decide how those payments should work, who approves them, and who is liable when an autonomous assistant gets it wrong.

On Oct. 1, Nike released the Caitlin 1, Caitlin Clark’s first signature shoe, in a royal blue colorway called “Caitlin Blue.” I am always on the hunt for cool royal blue kicks, so I wanted a pair. So did a lot of other people. According to Yahoo Sports, the shoe nearly sold out within the first two hours.

Normally, chasing a hyped release means refreshing Nike’s app, opening a dozen browser tabs, and losing to someone faster. This time I handed the job to an AI agent.

It went to Nike first and reported back that the blue Caitlin 1 was sold out at $140. It told me resale sites like StockX, GOAT, and eBay probably had pairs, though likely well above retail, and asked whether I wanted to pay up or keep hunting at retail. It also flagged something I hadn’t thought about. The shoe comes in unisex sizing, so it asked whether my 10.5 was men’s or women’s.

I said retail, men’s. A few minutes later, it found a pair at Dick’s Sporting Goods for $139.99, men’s 10.5, free shipping, estimated delivery that Saturday. The cart showed “Only 1 left!” and a banner saying 2,731 shoppers had bought the shoe that day. The agent put the pair in my cart.

Then it stopped.

“You aren’t signed in to Dick’s, and I can’t sign in or enter card details for you,” it told me. It walked me through the last three steps, warned me that a pair sitting in a cart is not a pair on hold, and said that even if I were signed in with a saved card, it would still show me the total and wait for my yes before placing the order.

I signed in, checked out, and the last pair of men’s 10.5s was mine.

Welcome to the world of agentic commerce.