Chief AI officers · the role
What does a chief AI officer do?
The short answer · updated
A chief AI officer (CAIO) is the executive accountable for how an organisation uses artificial intelligence. They set the AI strategy, decide which uses go ahead, own the AI risk and governance framework, make sure the data protection, security and legal checks are done, and report progress and risk to the chief executive and board.
What is a chief AI officer?
A chief AI officer is the senior leader who owns artificial intelligence across an organisation: where it is used, what it is allowed to do, who is accountable for its outcomes, and whether it is paying its way. The role exists because AI cuts across every function at once, and without one owner the decisions get made team by team, with no common view of risk.
Governments were among the first to make the seat formal. In the United States, the Office of Management and Budget’s memorandum M-25-21 requires every federal agency to identify a Chief AI Officer to champion its AI goals. In companies the title is newer and less settled: some CAIOs run AI products and engineering, others mainly governance and adoption.
What a chief AI officer is responsible for
The balance depends on whether the organisation builds AI into what it sells or mainly uses AI tools in how it works. The common core is below.
- AI strategy. Where AI should change the business, in which order, and what it is expected to deliver.
- An inventory of AI use. Knowing which systems and suppliers use AI, for what, and who owns each one.
- Risk and governance. A policy people follow, a risk assessment for each use, named owners and a route to stop a use that goes wrong.
- Data protection and security. Making sure personal data is handled lawfully and AI systems are built and run securely.
- Suppliers. Setting what the organisation needs from AI vendors before it buys, and checking it after.
- Skills. Making sure staff who use AI understand what it can and cannot do.
- Reporting. Telling the chief executive and board what AI is delivering and what risk the organisation is carrying.
Who a chief AI officer reports to
A CAIO may report to the chief executive, the chief technology officer, the chief operating officer or the chief data officer. Where the CAIO reports matters: a CAIO under the CTO tends to lean towards building, one under the chief executive towards strategy and risk across the business.
Data scientists, machine learning engineers and AI product managers may report in, or the CAIO may lead a small governance team and work through other functions. The closest peers are the CTO, who builds and runs what gets approved, the chief data officer, who owns the data it depends on, and the data protection officer, who advises independently on personal data. See fractional DPO jobs.
The title does not make the holder a company director. A CAIO appointed to the board carries a director’s legal duties; one who is not attends for their items.
Chief AI officer vs CTO vs chief data officer
A chief AI officer decides where AI is used and what risk the organisation accepts, and answers for the outcome.
A CTO owns the technology strategy and the engineering that builds and runs systems, AI included. See what does a CTO do.
A chief data officer owns the data strategy, quality and governance that AI depends on. See what does a chief data officer do.
In a smaller company one of the three often covers the others. If the job is building and shipping models rather than setting policy, a head of AI is closer to it: see fractional head of AI jobs. For the hands-on data team, see fractional data science jobs.
The rules a chief AI officer works within
In the UK there is no single AI law or regulator. The government’s framework sets five principles that existing regulators interpret and apply within their own remits: safety, security and robustness; appropriate transparency and explainability; fairness; accountability and governance; and contestability and redress. Which rules bite depends on what the organisation does and who regulates it.
Data protection is the regime most AI uses meet first. The ICO’s guidance on AI and data protection covers the accountability and governance implications of AI, including data protection impact assessments, alongside transparency, lawfulness, fairness and accuracy.
In the EU the Artificial Intelligence Act (Regulation (EU) 2024/1689) sets rules for AI systems placed on the market, put into service or used in the Union, so it can reach UK businesses that sell or deploy AI there. Its Article 4 requires providers and deployers to take measures to support the AI literacy of their staff and of others using AI on their behalf, which the European Commission’s guidance says can include contractors.
Security. The National Cyber Security Centre’s guidelines for secure AI system development treat security as a core requirement across design, development, deployment and operation.
Standards, skills and qualifications
No qualification is required by law, and there is no single professional body for the role. Employers look for a record of taking AI from pilot to production, judgement about risk, enough technical depth to challenge engineers and vendors, and the standing to stop a project the board is keen on.
Two international reference points help a CAIO set the framework. ISO/IEC 42001 specifies the requirements for establishing, implementing, maintaining and continually improving an AI management system. The OECD AI Principles, first adopted in 2019 and updated in 2024, are the first intergovernmental standard on AI, and their definition of an AI system is used in EU, US and UN frameworks.
Fractional, interim and permanent chief AI officers
A permanent chief AI officer makes sense once AI is central to the product or the operating model and there is a full week of decisions for one person to take.
An interim chief AI officer works full-time for a fixed period: setting up governance before a major deployment, responding to a regulator or an incident, or holding the seat while a permanent search runs.
A fractional chief AI officer works a set number of days a week: building the inventory and policy, choosing the first uses and suppliers, then overseeing them on fewer days. See fractional CAIO jobs.
An interim or fractional CAIO working through their own company may fall within the off-payroll working rules (IR35). Status turns on how the engagement runs in practice, and a medium or large client makes the determination. Our IR35 guide sets out the tests.
How to hire a chief AI officer
Write the brief around the decisions the role will own: which uses of AI, which risks, which suppliers, and who the CAIO reports to. Then mark the line with the neighbouring seats you already have: the CTO, the data lead and the data protection officer. If the gap is engineering leadership for AI products, a fractional CTO may be the better first hire.
Test judgement, not enthusiasm. Give candidates a real AI proposal from your business and ask whether they would approve it, on what conditions, and how they would know it was working. Take references from people who saw them stop something as well as ship something.
We recruit fractional, interim, part-time, temporary and permanent executives, and non-executive directors. To hire a CAIO part-week, start with our fractional hub; every brief gets a shortlist of 3–5, each with pay or day rate, availability and IR35 position set out, after our five-stage vetting.
Questions people ask
What is the difference between a chief AI officer and a CTO?
The CTO owns the technology and the engineering that builds and runs systems; the chief AI officer decides where AI is used and what risk the organisation accepts, and answers for the outcome. In a smaller company the CTO often covers both. See what does a CTO do.
Does every company need a chief AI officer?
No. Many need one accountable owner for AI, but that can be an existing executive with clear authority, or a fractional CAIO for a few days a week. A full-time seat makes sense when AI is central to the product or the operating model.
Is there a law requiring a chief AI officer?
Not in the UK. In the US, federal agencies must identify a Chief AI Officer under OMB memorandum M-25-21. The EU AI Act places duties on providers and deployers of AI, including on AI literacy, but does not require a CAIO by name.
What qualifications does a chief AI officer need?
None is required by law. Employers look for experience taking AI into production, risk and governance judgement, and enough technical depth to challenge engineers and vendors. Familiarity with ISO/IEC 42001 and the UK’s AI regulatory principles helps.
Can a chief AI officer be fractional?
Yes. A fractional CAIO works part of the week, typically setting up governance and the first uses, then overseeing them. See fractional CAIO jobs.
How much does it cost to hire a chief AI officer?
A permanent CAIO is paid a salary, often with a bonus or equity; an interim or fractional one a day rate. On every shortlist we set out each candidate’s pay or day rate.
How do I hire a chief AI officer?
Scope the decisions the role will own, mark the line with your CTO, data lead and DPO, choose permanent, interim or fractional, and test every candidate on a real AI proposal. We send a shortlist of 3–5, each with pay or day rate, availability and IR35 position set out.
