Target Appoints First AI Officer to Lead Retail AI Strategy

What happened

Target has appointed its first-ever AI officer, Chandu Nair, bringing a single leader in charge of the retailer's AI strategy across its digital and physical operations. The remit covers the online storefront as well as the tools used by Target's in-store associates, according to Retail Customer Experience.

Nair has framed the goal in customer terms, saying the aim is to "make AI real for the people who experience Target every day." That framing matters because it places AI in the day-to-day experience of shoppers and staff, rather than treating it as a back-office technology project.

The appointment lands as AI is becoming a routine part of the shopping journey, from product discovery through to mobile checkout. Retail Customer Experience reports that AI discovery is expected to play a meaningful role in the coming holiday season.

Why it matters

The move reflects a broader shift in how consumers find and choose products. When AI tools become a first stop for ideas and recommendations, retailers lose some control over the moment of discovery. Their own AI, search and merchandising systems need to earn trust at the same point where a customer might otherwise turn to a third-party assistant.

Appointing a single accountable owner also signals that AI is being treated as an operating-model question rather than a set of isolated pilots. For leaders in experience and digital transformation, the practical test is whether AI improves what a shopper sees, what a store associate can do in the moment, and how quickly the two are joined up.

By the numbers

• 72% of U.S. consumers regularly or occasionally use AI tools for ideas and recommendations.
• 17% of online shoppers are reported to be starting their holiday shopping with an AI platform.
• 58% of Gen AI adopters use AI for shopping advice and decision support.

The Renascence take

The question of whether every retailer needs an AI chief is the wrong place to start. A title does not create a better experience; a clear mandate, tied to measurable customer outcomes, does. Most readers will focus on the role itself and miss the more useful signal, which is that AI is now being judged at the moment a shopper is undecided.

Shoppers are using AI to reduce uncertainty and cost, which makes trust and clarity the currency of discovery. The principle underneath is simple: people reward the path that removes effort from a decision, not the one that simply adds intelligence. Operators should audit every AI touchpoint, from search to the associate's handheld, against one question: does this make the next choice easier and more trustworthy for the customer? If the answer is unclear, a new title will not fix it.