Target Creates Chief AI Officer Role as Retail AI Leadership Goes C-Suite

Target Installs a Chief AI Officer to Put AI on the Front Line

Target has elevated artificial intelligence to the C-suite, naming Chandhu Nair as the retailer’s first chief AI officer in an August 11 announcement. The move also included Purvi Shah’s appointment as senior vice president of user experience. Target framed the new role as a way to embed AI across its stores, merchandising and team operations rather than launch a separate technology strategy.

Nair said the most meaningful AI applications would be on the “front line,” such as making shopping easier, giving employees better tools and helping business decisions be made with more confidence. That language signals a pragmatic, outcome-led approach: begin with the business problem, then apply the technology where it can have the biggest effect.

The appointment builds on tools Target has already introduced, including an AI Gift Finder, AI Store Companion and a back-end “Target Trend Brain” used to anticipate shopper preferences. It also arrives as rivals are making similar moves. Walmart has deployed a range of AI tools and agents, and Gap and Best Buy are pursuing their own integrations. Walmart created an AI leadership role last year and made its top AI executive among its highest-paid leaders.

The shift matters because retail AI is moving from pilot projects to formal executive accountability. Whether the chief AI officer becomes a permanent C-suite seat remains an open question, but Target’s decision gives the role institutional weight at one of America’s largest retailers.

What Target's AI C-Suite Move and Walmart's Pay Data Reveal

Why Target Is Treating AI as an Operating Priority, Not a Silo

Target’s choice to create a chief AI officer is notable because Nair explicitly described AI as supporting existing strengths in stores, merchandising and team — not a separate strategy. That is an integration play. It suggests Target sees AI as a layer across the business, with ownership at the executive level, rather than as a lab project. The risk is that this can blur accountability if the role lacks authority over data, product and store operations; the benefit is faster deployment where it directly touches customers and staff.

Walmart’s Pay Data Shows How Expensive the Talent War Has Become

The compensation disclosure is the most concrete signal in the story. In 2025, Walmart’s EVP of AI acceleration, product and design Daniel Danker received an estimated $44.1 million in total compensation, while then-CEO Doug McMillon received about $29.2 million. For Walmart’s AI leader to out-earn the chief executive is unusual, and it reflects both the scarcity of experienced AI executives and how strategically retailers now view the function. It may also signal that boards are willing to pay for talent who can deliver agentic commerce and AI shopping tools quickly.

Where the Retail Sector Goes From Here

Target and Walmart are not identical cases. Walmart’s role was created a year earlier and sits alongside a broader AI acceleration mandate. Target’s move is newer, and its success depends on whether Nair can tie AI to measurable outcomes in stores and merchandising. If early initiatives such as Gift Finder and Store Companion produce visible results, the chief AI officer could become a standard retail role; if the role becomes a coordination layer without clear ownership of data and product roadmaps, some retailers may prefer to keep AI under a chief technology or digital officer.

Benchmarks for Retail Leaders Weighing a Chief AI Officer

What This Means for Retail Leaders, Boards and Investors

Retail leadership teams reviewing their AI governance can draw three specific benchmarks from the Target and Walmart announcements.

• Compare the scope, not just the title. Target’s chief AI officer is charged with supporting store, merchandising and team priorities, while Walmart’s AI role sits inside an acceleration, product and design mandate. Boards should define whether an AI chief owns outcomes or only coordination before creating the seat.
• Use Walmart’s disclosed pay as a talent-market benchmark. Daniel Danker’s estimated $44.1 million package exceeded Doug McMillon’s $29.2 million as CEO in 2025. Compensation committees considering a chief AI officer should plan for executive AI pay that may surpass the CEO’s, especially if they recruit from the same scarce talent pool.
• Watch for measurable results from Target’s existing tools. Target has already deployed the AI Gift Finder, AI Store Companion and Target Trend Brain. Investors can treat the performance of those tools — and any new front-line use cases Nair launches — as the clearest test of whether this role is delivering value or is mainly organizational.