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CAIO IN THE WILD

Companies With a Chief AI Officer

Documented examples and how common the role is

Who actually created the role, when, and where it reports: a primary-sourced sample rather than a hype list, plus what the appointments have in common.

Companies with a Chief AI Officer, examples and adoption

Updated: July 7, 2026

Companies with a documented, publicly appointed Chief AI Officer include Accenture, SAP, Mastercard, Dell Technologies, and S&P Global, spanning consulting, enterprise software, financial services, hardware, and financial data, and every US federal agency is required to designate one. IBM reported that 26% of large enterprises had a dedicated CAIO in 2025, up from around 11% two years earlier. Adoption concentrates in regulated industries and large technology firms, where a single accountable owner for AI adoption and governance makes sense earliest.

DOCUMENTED EXAMPLES

Which companies have a Chief AI Officer?

A primary-sourced sample, not an exhaustive registry. Each entry describes when the company created the role, since individual executives move, click through for the source.

Company Sector Role created Detail
Accenture Lan Guan (inaugural) Consulting 2023 Created the CAIO post in September 2023; the role leads Accenture’s AI & data practice and advises clients on AI strategy.
SAP Philipp Herzig (inaugural) Enterprise software 2024 Named its first Chief AI Officer in January 2024, reporting to the CEO and owning the end-to-end AI growth area.
Mastercard Greg Ulrich Financial services 2024 Elevated a Chief AI and Data Officer onto the management committee, owning enterprise-wide AI and data governance.
Dell Technologies Jeff Boudreau (inaugural) Hardware / infrastructure 2023 Created its first CAIO role in 2023 alongside a dedicated AI business unit, reporting to the COO.
S&P Global Bhavesh Dayalji Financial data 2023 Named a Chief AI Officer (also CEO of its Kensho AI unit) to drive an AI-first culture across the enterprise.
US federal agencies Mandated, per agency Government 2024→ Every federal agency must designate a Chief AI Officer under OMB guidance, the largest single source of the role.

ADOPTION

How common is the CAIO role now?

Common and rising, though the exact numbers depend heavily on the source and on how strictly "CAIO" is defined against adjacent titles like Chief AI and Data Officer. IBM’s widely cited figure put dedicated CAIOs at 26% of large enterprises in 2025, roughly double the level two years earlier, and various analysts project the share of large companies with the role climbing further through 2026 and 2027.

Treat any single percentage as directional. The signal that matters is the direction and the concentration: adoption is fastest where AI oversight is a regulatory requirement, and the role is now established enough that a major regulated-industry enterprise without one is the outlier.

WHAT THEY SHARE

What do these appointments have in common?

First of their kind

Most are the company’s inaugural holder of the title, a genuinely new C-suite seat, not a renamed one.

AI + data, often merged

Several combine the mandate into a "Chief AI and Data Officer," reflecting how tightly the two functions couple.

They report high

The durable versions report to the CEO or COO with a real mandate, not buried under the CTO.

Regulated-industry lead

Financial services, healthcare, and insurance move first, because AI governance is a compliance requirement there.

Frequently Asked Questions

Which companies have a Chief AI Officer?
Documented examples with public appointments include Accenture, SAP, Mastercard, Dell Technologies, and S&P Global, spanning consulting, enterprise software, financial services, hardware, and financial data. Beyond named corporate roles, every US federal agency is required to designate a Chief AI Officer. The role is now common enough across regulated industries and large technology companies that its absence at a big enterprise is more notable than its presence.
How common is the Chief AI Officer role now?
IBM reported that 26% of large enterprises had a dedicated Chief AI Officer in 2025, up from roughly 11% two years earlier, and various analysts project continued growth toward a substantial share of the Fortune 500. Estimates vary widely by source and by how strictly "CAIO" is defined versus adjacent titles like Chief AI and Data Officer, so treat any single percentage as directional. The clear direction of travel is up, concentrated in regulated industries and large tech.
What do CAIO appointments have in common?
Three patterns recur. Many are the company’s first-ever holder of the title, created as a new C-suite seat rather than a renamed one. Several combine AI with data into a "Chief AI and Data Officer" mandate. And the strongest versions report high, to the CEO or COO, with a defined mandate over both adoption and governance, rather than sitting under the CTO. The appointments that report high and own a real mandate are the ones that tend to endure.
Do only Fortune 500 companies appoint CAIOs?
No. Large enterprises and regulated industries lead, but the role appears at mid-size firms, consulting practices, and across the entire US federal government, where each agency must designate one. Smaller companies more often use a fractional CAIO, on-demand AI leadership without a full-time hire, to get the mandate covered before they’re ready for a permanent seat. See our fractional CAIO guide.
Which industries are adopting the CAIO role fastest?
Regulated industries, financial services, healthcare, and insurance, plus large technology and consulting firms. In regulated sectors the driver is governance: AI oversight is a compliance requirement, not optional, so a dedicated accountable owner makes sense earlier. In tech and consulting the driver is product and client strategy. The EU AI Act’s obligations landing on large organizations across 2026 are accelerating adoption further.
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Thomas Prommer
Thomas Prommer Technology Executive — CTO/CIO/CTAIO

These salary reports are built on firsthand hiring experience across 20+ years of engineering leadership (adidas, $9B platform, 500+ engineers) and a proprietary network of 200+ executive recruiters and headhunters who share placement data with us directly. As a top-1% expert on institutional investor networks, I've conducted 200+ technical due diligence consultations for PE/VC firms including Blackstone, Bain Capital, and Berenberg — work that requires current, accurate compensation benchmarks across every seniority level. Our team cross-references recruiter data with BLS statistics, job board salary disclosures, and executive compensation surveys to produce ranges you can actually negotiate with.

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