August 11, 2026
jetcityimage2/Depositphotos.com
As Target Creates a Chief AI Officer Role, Will This Become a Retail Mainstay?
In an August 11 press release, Target announced two personnel changes: Purvi Shah would be taking on the position of SVP of UX, and Chandhu Nair would be stepping into the newly created role of chief AI officer.
“What excites me most is the opportunity to make AI real for the people who experience Target every day. The most meaningful AI stories won’t be about what happens in a lab. They’ll be about what happens on the front line — how we make shopping easier for a guest, give a team member a better tool, make a business decision with more confidence or bring a new idea to market faster,” Nair said.
“Target has distinctive strengths in its stores, merchandising and team. The opportunity is to use AI to build on those strengths and support Target’s priorities, not create a separate AI strategy. We should begin with the outcomes we want and focus the technology where it can make the biggest difference,” he added.
Target is no stranger to integrating artificial intelligence into its operations, with its AI Gift Finder and AI Store Companion tools having been rolled out in recent years. And according to CNBC’s Laya Neelakandan, on the back end the red-and-white-branded retailer has leveraged its Target Trend Brain to predict upcoming trends and styles that shoppers will be desiring in the near future.
Target appoints its first chief AI officer as big retailers bet on AI https://t.co/Z1u2aCspCm
— CNBC (@CNBC) August 11, 2026
As Neelakandan highlighted, Target’s certainly far from alone in pushing for even greater AI integration — Walmart has famously adopted a slew of AI tools and agents, while Gap, Best Buy, and other brands and retailers follow suit. In Walmart’s case, outgoing CEO Doug McMillon specifically told CNBC that he was stepping down and passing the leadership torch to a “faster” individual (in this case, now-CEO John Furner) who was better able to harness AI to improve the speed of the mega-retailer’s business.
“About a year ago, I really started feeling like this next run, you could see what agentic commerce was going to look like, the vision for AI shopping, and I started thinking about everything that needs to happen over the next few years, and it really caused me to think that now was the right time [to step down],” McMillon said last December.
Retailers are paying large salaries to AI talents as well, with Walmart’s AI boss actually out-earning then-CEO McMillon in 2025. Whereas McMillon notched a total compensation package estimated at approximately $29.2 million for the year, the highest-paid executive disclosed by Walmart was actually EVP of AI acceleration, product and design Daniel Danker, who joined that year for a total compensation package of an estimated $44.1 million. Walmart created the AI leadership role last year, providing earlier evidence of a trend.
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Neil Saunders
Managing Director, GlobalData
Ricardo Belmar
Retail Transformation Thought Leader, Advisor, & Strategist
Shep Hyken
Chief Amazement Officer, Shepard Presentations, LLC
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Discussion Questions
Will the retail business eventually regard the chief AI officer as a c-suite standard, in your opinion? Why or why not? Is this a positive or negative development?
Do you believe Target is taking the right approach to AI integration, both in the back end and in terms of front line supports and customer-facing tools?
What’s the takeaway on Walmart’s compensation packages regarding the CEO position versus the AI chief?
Poll
Target has linked this new role to very tangible business priorities – such as improving merchandising and enhancing the customer experience. This is exactly the way in which AI should be used – as a tool to do things that make a difference, rather than as a strategy in itself or as some abstract technology. Given that AI is evolving rapidly and that it touches on so many functions, it makes sense for there to be a dedicated executive role that can oversee best practice and coordinate implementation. But, as I have said repeatedly, AI is only one part of what will create retail winners of the future; it will not compensate for getting the fundamentals of retail wrong and it won’t replace human creativity.
“Target has linked this new role to very tangible business priorities – such as improving merchandising and enhancing the customer experience.”
I’m guessing that many naysayers out there will claim that Target jumped first because these very necessary – and normal – functions are ones that the humans there have been unable to accomplish.
I am tempted to respond with the catchphrase of the character Francis Urquhart: “You might think that; I couldn’t possibly comment”.
But the more serious response is that I think Target lost itself for a while but has started to get back on track in these area. AI will presumably accelerate the progress – they’re already using internal trend tools extensively.
The function is a MUST if a retailer is to be successful. The exact title and position on the organization chart will vary based on the size of the retailer. For the majority of retailers, for the next few years, this roll will probably fall under the CIO. For the very largest retailers this will be a C level position. Considering the maturity and current integration of AI into the retail ecosystem the current position requires a unique balance of leadership/innovation, governance and security, and change management.
As the area matures, the legislatures weigh-in, and core functions are stabilized the salaries and market will stabilize.
Yes, the CAIO will become a standard, and I’m surprised it isn’t already among enterprise-class retailers. With the speed at which AI is moving, it only makes sense that retailers will invest in the time and talent needed to lead, coordinate and prioritize AI efforts that will ultimately permeate virtually every aspect of retailing.
AI needs data. So integration with existing systems will be a big part of successfully deploying both back-end and customer-facing tools.
Going-forward, AI application and integration will become another leverage point for large-scale retailers. Those with the resources to invest and implement effectively will have a competitive advantage over smaller retailers that don’t. And as for the pay…well, that’s just part of the game. Serious AI knowledge and experience are in extremely high demand, and compensation reflects that.
I am ambivalent about the creation of a C-level position over AI. In the context of AI as a tool, AI should be in the hands of each user community (Marketing, Operations, Finance, IT, etc.). The IT function, lead by its C-level executive, should provide the infrastructure for the use of AI and work closely to normalize and ‘clean’ the data together with all eventual users of AI and, additionally, serve as counsel to the different functions on which AI tools are appropriate for each function. I may be able to decide definitively as the use of AI evolves but not today.
Target stands to gain by advancing AI and UX together. A forecast adds value when the merchant understands it and knows when to override it. Ideally, the CAIO should build shared AI capability. Business leaders must retain accountability for merchandise and guest outcomes.
I do not expect the CAIO title to become universal across retail. Some large retailers may adopt it while AI capabilities are developing. Over time, AI will become embedded in product and technology. It will also shape merchandising, supply chain and store operations. A separate role should become less necessary as that integration matures.
The compensation discussion needs context. Danker’s $44.1 million package covered his first five months at Walmart. It included $37.7 million in restricted stock and a $5 million sign-on bonus. Part of the equity replaced value left at his former employer. This reflects the cost of recruitment and retention. It offers little evidence about the AI chief’s standing relative to the CEO.
The CAIO role is quickly becoming table stakes. Big players have created the role and others won’t be far behind. AI is only accelerating from here, and retailers that aren’t building dedicated leadership around it are going to find themselves playing catch up.
AI is quickly becoming an integral driver of a retailer’s core operating system. Everything from inventory accuracy, employee scheduling, loyalty incentives, discount timing, supply chain logistics, retail media scheduling and checkout accuracy are being integrated with AI to optimize results. Today AI has become the first technology to impact every department, channel and technology in a company, so having dedicated executive leadership to oversee and guide this level of coordination, and responsibility for effective results, will soon be the difference between companies who are succeeding, and those still struggling.
Will the retail business eventually regard the chief AI officer as a c-suite standard, in your opinion? Why or why not? Is this a positive or negative development?
I can’t know, of course, but I fear the answer is “yes”. And if it is, the we’ll know retail is dead…because I don’t have any doubts at all this is a negative development: mindless imitation, and monument to the idea that “we must do something”, even if we don’t know exactly what or why. (Then again, might AI replace the C-suite altogether? who says AI can’t understand humour?!)
A Chief AI Officer will become a C-Suite standard for all types of businesses, not just retail. Someone needs to oversee the strategy, the effect on the systems and processes, and the impact on employees and customers. This is a big role. I predict you’ll see Chief AI Officer announcements coming from most major brands companies in the very near future.
Whether the Chief AI Officer role becomes a “standard” is going to vary by retailer. the fact is, some retailers need this to be a c-suite role to truly integrate AI into their workflows within each business area. Other retailers won’t need this because they either have a CDO, CTO, and/or CIO who is capable enough to lead the AI integration effort across the business. Ultimately, this is what the industry needs. AI shouldn’t require a dedicated c-suite leader. The existence of this role implies the business can’t cope with delivering AI across each functional area. AI, as a tool, isn’t a bolt on run by a single leader. It needs to be incorporated directly into every workflow with each workflow redesigned to properly leverage AI as a core capability. That’s something a strong CEO should be able to direct, and a good CIO/CTO/CDO can deliver.
From an AI personalization perspective, Target’s approach is promising because the real opportunity is not simply adding more AI tools, but connecting customer intent, behavioral data, product intelligence, and real-time decisioning across channels. A Chief AI Officer can help break down silos between personalization, merchandising, search, loyalty, and store experiences. The key will be avoiding “AI for AI’s sake” and instead using it to make every interaction more relevant, contextual, and helpful. Walmart’s compensation levels reinforce how valuable this capability has become. Retailers increasingly recognize that whoever builds the strongest AI-driven personalization engine can materially influence conversion, loyalty, and lifetime customer value.
The CAIO role is transitional governance. The destination is AI owned by functional leaders closest to the work. Getting there requires coordination that no existing C-suite role is structured to provide. Walmart proves the point honestly. It successfully embedded innovation enterprise-wide, dissolved Store No. 8, then still needed dedicated AI leadership reporting to the CEO. Mature innovation infrastructure and AI coordination are different problems.
Chandhu Nair said it himself: the goal is to support Target’s priorities, not create a separate AI strategy. That instinct is exactly right, and worth protecting. The real risk is that the role drifts, accumulating scope until AI becomes a function rather than a capability woven into the business. A CAIO who truly understands the job is building toward their own obsolescence. That is a feature, not a flaw.
AI is a tool that crosses all areas of business. The key to successful use is guiding its use across all parts of the business. It can’t be used uniquely by operations, marketing, finance, sales, etc. Using AI is a fantastic and fascinating opportunity for those who integrate it properly and with foresight. There should be a leader doing exactly that.
There needs to be someone focused on leading AI. Whether that is a dedicated CAIO position in larger organizations or it is integrated into another executive position in smaller ones, this is a necessity moving forward. Smart organizations are thinking about and talking about this today and not waiting to see how AI will evolve down the road.
When I first read the headline I thought the Chief AI Officer would be like a modern day COO. It’s the role that makes all the internal moving parts mesh. We already talk about the pitfalls of silos. AI could create silos within silos with different people implementing different versions of AI. That could get very messy very quickly. But of course, as the article and all the BT’s point out, it’s both internal AND external. Agentic commerce at its most complicated best and worst. So, yes please…let’s have CAIO’s harmonize the whole new game. I do have one request. Please don’t make it mandatory to pull out my phone as I walk into a physical store. It might be a useful tool somewhere in the physical shopping journey, but if I really wanted to shop on my phone I’d be sitting on the couch at home, not walking through your store. Thank you.
Having built an AI strategy function inside a logistics company, my take is that the accountability will become standard even where the title does not. Someone at the executive table has to own governance, data readiness, and prioritization, or AI stays a collection of pilots that never compound and may often step over one another.
What I like about Target’s framing is Nair’s line that there should be no separate AI strategy. That is the test. The value in retail AI mostly shows up in unglamorous places: demand forecasting, inventory positioning, transportation and fulfillment decisions. Those cut across merchandising, stores, and supply chain, which is exactly why coordination needs an owner.
On the pay gap, that is the market pricing scarcity, and it will normalize. The bigger risk is not overpaying an AI chief. It is hiring one and giving them a lab instead of the P&L problems.
As is true of any large change in technology, there will be early successes and many lessons learned. By creating this position Target is making a big bet on the future, wherever that leads to, and (echoing Neil) I like the way Target has framed this role. Now lets see what happens!
A chief AI officer only matters if the role changes how decisions get made. In retail, AI should improve merchandising, inventory, pricing, store execution, and customer experience, not just sit inside an innovation team.
The risk is turning AI into another executive title without operational accountability. Target’s real test is whether AI becomes part of daily retail execution.
The winners will be retailers that treat AI as an operating layer, not a technology project.
I like Target’s approach because the conversation isn’t simply about implementing more AI this is where AI can genuinely make work and customer experiences better…step by step!
Whether every retailer needs a Chief AI Officer is debatable, but every retailer does need someone asking: does this technology make our people more capable and our customers’ lives easier? AI will give people more time and better information to deliver better experiences.
The announcement of a chief AI officer makes sense in so many businesses right now. Target being one of them. However, the more important updates will be how AI is being embedded into the organization in the coming months to enable the business to move more quickly, to streamline decision making, and better deliver what the guest is looking for from Target. This is the very beginning of bringing that all into focus.
The creation of these roles reflects a genuine inflection point: retail is shifting from “e-commerce vs. brick-and-mortar” to “intelligence-driven commerce.” The winners will be companies that embed AI across the entire value chain—supply chain, merchandising, pricing, personalization, and operations.
Target’s approach appears more sustainable (integrated, outcomes-focused) while Walmart’s appears more aggressive(willing to pay premium talent for rapid transformation). Both strategies could work depending on execution.
Chandhu Nair’s line about the front line is the right one, and in retail the front line is the shelf. My concern is structural: I have personally mapped roughly 1,300 retail execution technology vendors worldwide and found only about 220 that actually deliver, which means most retailers are buying AI in slices, with one vendor owning shelf imagery, another owning replenishment signals and a third owning labor. The real job of a Chief AI Officer is not to add models, it is to decide where the perception layer sits, so that a single image of a shelf feeds merchandising, supply chain and store operations instead of three disconnected dashboards. On compensation, the gap reflects scarcity of talent rather than proven outcomes, and it will close quickly once boards start asking for on shelf availability and margin impact instead of pilots. I expect the title to become common for roughly one planning cycle and then dissolve into operations, which is close to what Mohamed described as success measured by its own obsolescence. The retailers who win will treat computer vision as the sensing layer of the business, not as an audit tool bolted onto a c-suite title.
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Target has linked this new role to very tangible business priorities – such as improving merchandising and enhancing the customer experience. This is exactly the way in which AI should be used – as a tool to do things that make a difference, rather than as a strategy in itself or as some abstract technology. Given that AI is evolving rapidly and that it touches on so many functions, it makes sense for there to be a dedicated executive role that can oversee best practice and coordinate implementation. But, as I have said repeatedly, AI is only one part of what will create retail winners of the future; it will not compensate for getting the fundamentals of retail wrong and it won’t replace human creativity.
“Target has linked this new role to very tangible business priorities – such as improving merchandising and enhancing the customer experience.”
I’m guessing that many naysayers out there will claim that Target jumped first because these very necessary – and normal – functions are ones that the humans there have been unable to accomplish.
I am tempted to respond with the catchphrase of the character Francis Urquhart: “You might think that; I couldn’t possibly comment”.
But the more serious response is that I think Target lost itself for a while but has started to get back on track in these area. AI will presumably accelerate the progress – they’re already using internal trend tools extensively.
The function is a MUST if a retailer is to be successful. The exact title and position on the organization chart will vary based on the size of the retailer. For the majority of retailers, for the next few years, this roll will probably fall under the CIO. For the very largest retailers this will be a C level position. Considering the maturity and current integration of AI into the retail ecosystem the current position requires a unique balance of leadership/innovation, governance and security, and change management.
As the area matures, the legislatures weigh-in, and core functions are stabilized the salaries and market will stabilize.
Yes, the CAIO will become a standard, and I’m surprised it isn’t already among enterprise-class retailers. With the speed at which AI is moving, it only makes sense that retailers will invest in the time and talent needed to lead, coordinate and prioritize AI efforts that will ultimately permeate virtually every aspect of retailing.
AI needs data. So integration with existing systems will be a big part of successfully deploying both back-end and customer-facing tools.
Going-forward, AI application and integration will become another leverage point for large-scale retailers. Those with the resources to invest and implement effectively will have a competitive advantage over smaller retailers that don’t. And as for the pay…well, that’s just part of the game. Serious AI knowledge and experience are in extremely high demand, and compensation reflects that.
I am ambivalent about the creation of a C-level position over AI. In the context of AI as a tool, AI should be in the hands of each user community (Marketing, Operations, Finance, IT, etc.). The IT function, lead by its C-level executive, should provide the infrastructure for the use of AI and work closely to normalize and ‘clean’ the data together with all eventual users of AI and, additionally, serve as counsel to the different functions on which AI tools are appropriate for each function. I may be able to decide definitively as the use of AI evolves but not today.
Target stands to gain by advancing AI and UX together. A forecast adds value when the merchant understands it and knows when to override it. Ideally, the CAIO should build shared AI capability. Business leaders must retain accountability for merchandise and guest outcomes.
I do not expect the CAIO title to become universal across retail. Some large retailers may adopt it while AI capabilities are developing. Over time, AI will become embedded in product and technology. It will also shape merchandising, supply chain and store operations. A separate role should become less necessary as that integration matures.
The compensation discussion needs context. Danker’s $44.1 million package covered his first five months at Walmart. It included $37.7 million in restricted stock and a $5 million sign-on bonus. Part of the equity replaced value left at his former employer. This reflects the cost of recruitment and retention. It offers little evidence about the AI chief’s standing relative to the CEO.
The CAIO role is quickly becoming table stakes. Big players have created the role and others won’t be far behind. AI is only accelerating from here, and retailers that aren’t building dedicated leadership around it are going to find themselves playing catch up.
AI is quickly becoming an integral driver of a retailer’s core operating system. Everything from inventory accuracy, employee scheduling, loyalty incentives, discount timing, supply chain logistics, retail media scheduling and checkout accuracy are being integrated with AI to optimize results. Today AI has become the first technology to impact every department, channel and technology in a company, so having dedicated executive leadership to oversee and guide this level of coordination, and responsibility for effective results, will soon be the difference between companies who are succeeding, and those still struggling.
I can’t know, of course, but I fear the answer is “yes”. And if it is, the we’ll know retail is dead…because I don’t have any doubts at all this is a negative development: mindless imitation, and monument to the idea that “we must do something”, even if we don’t know exactly what or why. (Then again, might AI replace the C-suite altogether? who says AI can’t understand humour?!)
A Chief AI Officer will become a C-Suite standard for all types of businesses, not just retail. Someone needs to oversee the strategy, the effect on the systems and processes, and the impact on employees and customers. This is a big role. I predict you’ll see Chief AI Officer announcements coming from most major brands companies in the very near future.
Whether the Chief AI Officer role becomes a “standard” is going to vary by retailer. the fact is, some retailers need this to be a c-suite role to truly integrate AI into their workflows within each business area. Other retailers won’t need this because they either have a CDO, CTO, and/or CIO who is capable enough to lead the AI integration effort across the business. Ultimately, this is what the industry needs. AI shouldn’t require a dedicated c-suite leader. The existence of this role implies the business can’t cope with delivering AI across each functional area. AI, as a tool, isn’t a bolt on run by a single leader. It needs to be incorporated directly into every workflow with each workflow redesigned to properly leverage AI as a core capability. That’s something a strong CEO should be able to direct, and a good CIO/CTO/CDO can deliver.
From an AI personalization perspective, Target’s approach is promising because the real opportunity is not simply adding more AI tools, but connecting customer intent, behavioral data, product intelligence, and real-time decisioning across channels. A Chief AI Officer can help break down silos between personalization, merchandising, search, loyalty, and store experiences. The key will be avoiding “AI for AI’s sake” and instead using it to make every interaction more relevant, contextual, and helpful. Walmart’s compensation levels reinforce how valuable this capability has become. Retailers increasingly recognize that whoever builds the strongest AI-driven personalization engine can materially influence conversion, loyalty, and lifetime customer value.
The CAIO role is transitional governance. The destination is AI owned by functional leaders closest to the work. Getting there requires coordination that no existing C-suite role is structured to provide. Walmart proves the point honestly. It successfully embedded innovation enterprise-wide, dissolved Store No. 8, then still needed dedicated AI leadership reporting to the CEO. Mature innovation infrastructure and AI coordination are different problems.
Chandhu Nair said it himself: the goal is to support Target’s priorities, not create a separate AI strategy. That instinct is exactly right, and worth protecting. The real risk is that the role drifts, accumulating scope until AI becomes a function rather than a capability woven into the business. A CAIO who truly understands the job is building toward their own obsolescence. That is a feature, not a flaw.
AI is a tool that crosses all areas of business. The key to successful use is guiding its use across all parts of the business. It can’t be used uniquely by operations, marketing, finance, sales, etc. Using AI is a fantastic and fascinating opportunity for those who integrate it properly and with foresight. There should be a leader doing exactly that.
There needs to be someone focused on leading AI. Whether that is a dedicated CAIO position in larger organizations or it is integrated into another executive position in smaller ones, this is a necessity moving forward. Smart organizations are thinking about and talking about this today and not waiting to see how AI will evolve down the road.
When I first read the headline I thought the Chief AI Officer would be like a modern day COO. It’s the role that makes all the internal moving parts mesh. We already talk about the pitfalls of silos. AI could create silos within silos with different people implementing different versions of AI. That could get very messy very quickly. But of course, as the article and all the BT’s point out, it’s both internal AND external. Agentic commerce at its most complicated best and worst. So, yes please…let’s have CAIO’s harmonize the whole new game. I do have one request. Please don’t make it mandatory to pull out my phone as I walk into a physical store. It might be a useful tool somewhere in the physical shopping journey, but if I really wanted to shop on my phone I’d be sitting on the couch at home, not walking through your store. Thank you.
Having built an AI strategy function inside a logistics company, my take is that the accountability will become standard even where the title does not. Someone at the executive table has to own governance, data readiness, and prioritization, or AI stays a collection of pilots that never compound and may often step over one another.
What I like about Target’s framing is Nair’s line that there should be no separate AI strategy. That is the test. The value in retail AI mostly shows up in unglamorous places: demand forecasting, inventory positioning, transportation and fulfillment decisions. Those cut across merchandising, stores, and supply chain, which is exactly why coordination needs an owner.
On the pay gap, that is the market pricing scarcity, and it will normalize. The bigger risk is not overpaying an AI chief. It is hiring one and giving them a lab instead of the P&L problems.
As is true of any large change in technology, there will be early successes and many lessons learned. By creating this position Target is making a big bet on the future, wherever that leads to, and (echoing Neil) I like the way Target has framed this role. Now lets see what happens!
A chief AI officer only matters if the role changes how decisions get made. In retail, AI should improve merchandising, inventory, pricing, store execution, and customer experience, not just sit inside an innovation team.
The risk is turning AI into another executive title without operational accountability. Target’s real test is whether AI becomes part of daily retail execution.
The winners will be retailers that treat AI as an operating layer, not a technology project.
I like Target’s approach because the conversation isn’t simply about implementing more AI this is where AI can genuinely make work and customer experiences better…step by step!
Whether every retailer needs a Chief AI Officer is debatable, but every retailer does need someone asking: does this technology make our people more capable and our customers’ lives easier? AI will give people more time and better information to deliver better experiences.
The announcement of a chief AI officer makes sense in so many businesses right now. Target being one of them. However, the more important updates will be how AI is being embedded into the organization in the coming months to enable the business to move more quickly, to streamline decision making, and better deliver what the guest is looking for from Target. This is the very beginning of bringing that all into focus.
The creation of these roles reflects a genuine inflection point: retail is shifting from “e-commerce vs. brick-and-mortar” to “intelligence-driven commerce.” The winners will be companies that embed AI across the entire value chain—supply chain, merchandising, pricing, personalization, and operations.
Target’s approach appears more sustainable (integrated, outcomes-focused) while Walmart’s appears more aggressive(willing to pay premium talent for rapid transformation). Both strategies could work depending on execution.
Chandhu Nair’s line about the front line is the right one, and in retail the front line is the shelf. My concern is structural: I have personally mapped roughly 1,300 retail execution technology vendors worldwide and found only about 220 that actually deliver, which means most retailers are buying AI in slices, with one vendor owning shelf imagery, another owning replenishment signals and a third owning labor. The real job of a Chief AI Officer is not to add models, it is to decide where the perception layer sits, so that a single image of a shelf feeds merchandising, supply chain and store operations instead of three disconnected dashboards. On compensation, the gap reflects scarcity of talent rather than proven outcomes, and it will close quickly once boards start asking for on shelf availability and margin impact instead of pilots. I expect the title to become common for roughly one planning cycle and then dissolve into operations, which is close to what Mohamed described as success measured by its own obsolescence. The retailers who win will treat computer vision as the sensing layer of the business, not as an audit tool bolted onto a c-suite title.