The AI Chief Is Now Worth More Than the CEO

The corporate world has always held the CEO as the most valuable person in the company. Walmart's 2025 proxy statement says otherwise.

Daniel Danker, the retailer's Executive Vice President of AI Acceleration, Product and Design, received total compensation of $44.1 million last year, according to Walmart's annual proxy statement.

Doug McMillon, who led the company for over a decade before handing over to John Furner in early 2026, received $29.2 million. The gap is $15 million. The person building Walmart's AI strategy was worth more to the company than the person running it.

That single data point is worth sitting with. Walmart is not a startup competing for talent in a hot market. It is the world's largest retailer, with revenues that topped $713 billion last year. Its CEO compensation is among the highest in brick-and-mortar retail. And it still paid its AI chief more.

What the Number Actually Says

Danker joined Walmart last year after senior roles at Instacart and Uber. His package included a $5 million sign-on bonus and stock awards valued at $37.7 million.

Large sign-on packages for new executive hires are common as they typically replace compensation forfeited at the previous employer and front-load equity that vests over time. McMillon's package, by contrast, reflects a tenure compensation structure built over years, not a recruitment competition.

That distinction matters. Walmart made a deliberate decision to pay $44.1 million to bring one person into a newly created role.

Stock awards are also tied to share price performance, Walmart stock rose more than 30% over the past 12 months and briefly traded with a market capitalization above $1 trillion.

The awards are not just recruitment currency. They are a bet that Danker will help produce the kind of growth that makes them worth their face value.

The broader market context reinforces the point. Equilar's analysis of its 2025 Top 50 Survey found the median compensation package for senior AI executives at companies disclosing AI leadership pay has reached $1.6 million, for a role that did not formally exist in most organisations five years ago.

CAIO job postings have grown over 300% since 2023, according to compensation research. ​​The Microsoft and LinkedIn 2024 Work Trend Index found the Head of AI role has tripled over five years and grew 28% in 2023 alone. Supply has not kept pace with demand, and the companies that most need the talent are paying accordingly.

'Obviously they do value AI and do believe it must be integrated through the organization, but that seems to be an insanely high amount,' said Sucharita Kodali, Vice President and Principal Analyst at Forrester, to AIM Media House. "It does seem like it's a bet that Walmart is taking and its belief in AI being a disruptive change, perhaps the biggest in our lifetimes."

Why This Role Sits Where It Does

The more significant detail in the Walmart announcement is the structural position of the role. Danker's remit sits at the executive council level, alongside business teams and global functions, not inside a technology division reporting to a CTO.

That placement reflects a specific conviction: that AI, at Walmart's scale, is not an infrastructure problem but a strategy problem.

Danker addressed this directly at the Morgan Stanley Technology, Media and Telecom Conference last month.

"The creation of this role is interesting because it reflects both the desire for growth and speed using technology that I think we can really make happen, but also a recognition that if we're going to make the most of what AI can enable, it needs to be a role that sits at the exec council level alongside our business teams and other global functions as well," he said.

Companies that place AI inside technology are betting that the hard problem is building the capability. Walmart is betting that the hard problem is deploying it commercially.

Those are different bets, and they produce different organisational structures and different compensation signals.

There is a dominant narrative around AI in large enterprises. That it is primarily a cost reduction and efficiency tool, a way to do more with fewer people. Danker's framing at Morgan Stanley challenges that narrative directly from inside one of the world's largest companies.

"It's actually easier to figure out how to drive efficiency than it is to think through growth because you only have to look at the things you're already doing," he said. "Growth is much more interesting as a vector."

He described AI as unlocking customer experiences that Walmart had wanted to build for years but lacked the technology to execute. "There are things we wanted to do for customers for many years that we did not have the technology to do them," he said. "All of a sudden, we have the technology now."

This framing has direct implications for how the role is priced. Efficiency gains are finite and measurable. You eliminate a process, you capture the saving, and you move on. Growth potential, in a company with $713 billion in revenue, is theoretically unbounded.

If Danker can meaningfully accelerate Walmart's ability to personalise at scale, build agentic commerce capabilities, and compete with Amazon on technology, the upside of that contribution is not quantifiable in the way that headcount reduction is. The compensation reflects the size of the problem he was hired to solve.

What This Means for the C-Suite

Walmart is not alone in this direction. Across enterprise AI, the companies that are moving fastest are the ones where AI leadership has direct access to business strategy. The compensation data is beginning to reflect that shift.

"Walmart's PE ratio now is higher than Microsoft's, which suggests it is being valued as a tech stock now," said Kodali.

The question Danker's package asks every large organisation is not whether they can afford to pay for AI leadership at this level. It is whether they can afford not to.

Walmart's only real competitor at scale in retail is Amazon, a company built on technology from its founding.

Closing that gap requires a specific kind of leadership, one that understands both what AI can do and how to translate that into commercial outcomes in a business the size of a country's GDP.

The compensation gap between Danker and McMillon is not a curiosity in Walmart's proxy statement. It is a signal about what Walmart believes it is competing for.

The retailer has already built the stores, the supply chain, and the customer base. What it is paying $44.1 million for is the knowledge of how to make all of that intelligent. That, apparently, is now worth more than knowing how to run it.