Emily Sands, Head of Data and AI at Stripe, discusses the industry's framework for agent autonomy in e-commerce and evaluates where consumer usage stands.
“And I would say, sort of, on the consumer side, we're mostly hovering level two. You know, people are delegating a little bit of the selection or leaning hard on the AI to help find the product. Maybe a hint of level three, but, like, you know, we're not in the world where you're booking your summer vacation, one-shotting it with an LLM.”
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More from Emily Glassberg Sands
PredictionNot checkable as stated
Merchant APIs will require canonical intent endpoints for autonomous AI agents
“And so every merchant API is probably going to need one canonical kind of intent endpoint that accepts those structured desires instead of sort of this UI click world that we live in today.”
Merchants must expose machine-readable product schemas to sell through AI agents
“And so I think early adopters who want to sell through agentic channels are going to need to expose kind of an open product schema, like the SKU and the inventory and the price and the constraints and, you know, maybe even the wedge that you're willing to give…”
AI agents will shrink e-commerce latency budgets to a few hundred milliseconds
“I think latency budgets are gonna shrink to machine time. We talked about latency budgets in the context of the charge path, but, like, you know, people will wait three seconds for a spinner. I think an agent's just gonna retry somewhere else after a couple hu…”
AI startups reach $30M ARR three times faster than fast-growing SaaS startups
“Those that already hit thirty million in annualized revenue got there in about a year and a half. For comparison, you know, many of us were around five years ago, like the fastest growing SaaS startups on Stripe took, you know, five and a half years to hit tha…”
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