Target Names Chandhu Nair as First Chief AI Officer

What happened

Target has named Chandhu Nair as its first-ever chief AI officer, bringing in an executive from Lowe's to lead the retailer's enterprise-wide artificial intelligence strategy. The appointment signals that Target is formalising AI governance and experimentation under a single dedicated leadership role rather than distributing it across existing technology or merchandising functions.

According to reporting from CIO Dive, Retail Dive and Customer Experience Dive, Nair's mandate will centre on how AI can be applied to elevate the customer-facing experience, with collaboration across departments described as essential to the role's success. The move places Target among a growing number of major retailers creating C-suite-level AI positions as they look to move beyond isolated pilots toward more coordinated, company-wide deployment.

Why it matters

Creating a standalone chief AI officer role suggests Target sees AI less as a back-office efficiency tool and more as a lever for shaping how shoppers interact with the brand — from search and personalisation to service and fulfilment. For CX and service-design practitioners, the appointment is a signal that AI strategy is being pulled out of siloed IT or data teams and given a seat with direct accountability for experience outcomes.

The emphasis on cross-functional collaboration also points to a recognition that AI's impact on customer experience cannot be engineered in isolation: it depends on alignment between technology, merchandising, operations and frontline service teams. That structural choice matters as much as the technology itself, since poorly coordinated AI initiatives are a common source of inconsistent or confusing customer journeys.

The Renascence take

The headline here isn't really "Target hires an AI chief" — it's that AI leadership is increasingly being defined as an experience mandate, not a data-science one. That framing has consequences for how the role should be measured and resourced.

Most coverage will focus on the individual hire and the AI arms race among retailers. What's more instructive is the implicit admission that AI initiatives fail or succeed on cross-functional alignment, not algorithmic sophistication. A chief AI officer whose success depends on collaboration is, in effect, a service-design role wearing a technology title — their real job is orchestrating consistency across every touchpoint AI touches, from a personalised recommendation to a chatbot handoff to a store associate's tools. Retailers chasing similar hires should resist treating the role as a purely technical appointment: the AI leader who succeeds will be the one who treats experience coherence, not model accuracy, as the primary KPI.