Why Target Created Its First Chief AI Officer Role

Target has created its first chief AI officer role and named Chandhu Nair, a Lowe’s veteran, to lead the effort starting Aug. 24. At the same time, the retailer promoted Purvi Shah to senior vice president of user experience. Both executives will report to Prat Vemana, Target’s chief information and product officer, placing AI and experience design under one leadership structure.

The moves are part of CEO Michael Fiddelke’s multiyear turnaround strategy, announced in March, which includes an incremental $2 billion in operational and capital investment in 2026. Target is trying to revive growth, modernize the customer experience and sharpen its brand identity after a period of slowing sales. The early sales trend has improved: during its first-quarter earnings call in May, Target reported net sales of $25.4 billion, up 6.7% year over year.

Nair’s remit is intentionally broad, with responsibility for bringing greater focus and coordination to AI across the enterprise. But Target has also pointed to a concrete near-term goal: using AI to strengthen user experience. In the company’s framing, AI and UX teams should work together to move from insight to action faster while keeping people at the center of what it builds.

How Target’s AI-UX Leadership Structure Fits Its Turnaround

Target Is Making AI an Executive-Level Business Priority

Creating a C-suite AI role signals that Target sees AI as central to operations, not a collection of isolated pilot projects. The appointment gives Nair authority to coordinate AI across the enterprise. That matters at a time when many retailers are still struggling to show a clear return on AI investments. By pairing Nair’s mandate with Shah’s expanded UX role, Target is betting that the most visible payoff will come from customer experience rather than back-office cost reduction alone.

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Nair’s Background Fits a Product-Technology Leadership Trend

Nair arrives with more than six years at Lowe’s, most recently as senior vice president of stores, data, AI and innovation, and earlier experience at Staples and Gap. His profile combines store operations, data and product responsibilities. That mirrors a broader shift in which companies are merging product and technology leadership to move faster and align technology more tightly with customer demand. Target had already moved in that direction by promoting Vemana to chief information and product officer last year.

The Turnaround Context Raises the Stakes

The hiring is not a standalone technology announcement. It fits directly into Fiddelke’s March turnaround plan and its additional $2 billion in 2026 operational and capital investment. Target has reported one quarter of stronger sales growth, but the link between AI-UX collaboration and durable sales improvement has not yet been proven. The real test will be whether the new structure produces measurable improvements in the guest experience and in employee work that support the strategy’s financial goals.

The Next Checkpoints for Target’s AI-Led Turnaround

  • For Target’s competitors: Target is explicitly tying a C-suite AI role to customer-facing UX, backed by an incremental $2 billion investment in 2026. The competitive signal is that retail AI spending is shifting from internal productivity toward measurable frontline experience, so rivals should expect more visible guest-facing improvements from Target.
  • For Target’s technology and data vendors: Nair starts Aug. 24 with a mandate to coordinate AI across the enterprise. Partners should prepare for more centralized AI governance and cross-functional evaluation involving product, technology, data, business and UX teams rather than standalone departmental pilots.
  • For investors and retail analysts: Target’s first-quarter net sales of $25.4 billion, up 6.7% year over year, is the current benchmark. The next earnings update will be the clearest early evidence of whether the AI-UX structure and incremental spending are converting into the stronger guest experience and brand identity the turnaround targets.

Risk & Opportunity Assessment

Commercial RiskMediumTarget is adding a first chief AI officer within a $2 billion incremental 2026 turnaround investment; if the AI-UX integration does not produce measurable customer experience gains, the added spending could pressure margins without a clear payoff.
Competitive RiskMediumNair’s hire is meant to help Target move faster from insight to action in customer-facing AI. If Target cannot convert the AI-UX collaboration into visible guest experience improvements, it risks losing ground to better-executing digital retail competitors.
Regulatory RiskLowThe announcement contains no new regulatory or compliance issues, and the story does not signal immediate legal exposure from Target’s AI use.
Reputation RiskLowTarget is framing the AI push around keeping people at the center and improving guest and team member experiences, which limits immediate reputational friction; no contentious AI use case is named.
Technology DisruptionMediumBy elevating AI to the C-suite and pairing it with UX, Target is shifting retail technology decision-making from back-office productivity toward customer-outcome-focused innovation, a change that could reshape how the company prioritizes technology investment.
Commercial OpportunityHighTarget reported first-quarter net sales up 6.7% to $25.4 billion and is backing the strategy with $2 billion in incremental investment; a successful AI-UX collaboration could support the turnaround by strengthening customer experience and brand identity.