Chief AI officer
 | This article is missing information about more information about skills and role. (May 2026) |
A Chief AI Officer (CAIO), also known as chief artificial intelligence officer, is a executive role within a company or organization which handles the handling, implementation and or development of artificial intelligence.[1] Their role as a whole is bringing business and artificial intelligence together to benefit a desired outcome.[2]
Role
[edit]The CAIO is responsible for implementing AI technology in an organization typically in operational strategy and product differentiation with help from other executives.[3] According to Head of AI of Sailpoint, Joe Mayberry, the CAIO focuses on making corporate strategies successful by means of changing the strategies themselves to reflect their company or organization's market.[3] New policies would also need to align with the company's digital transformation and business goals to further improve their operational efficiency, enhance the experience of their customer or to create new sources of revenue.[1]
Skills
[edit]A Chief AI Officer would be expected to be well-versed in AI technologies and understand how to work with AI.[3] They would also to have technical AI skills like machine learning, data science and analytics, traditional software development and understanding the infrastructure of AI.[1] Usual executive positional skills including management and cultural leadership and an ethical mindset are also expected in CAIOs.[1][3]
See also
[edit]References
[edit]- 1 2 3 4 "What is a chief AI officer (CAIO)?". IBM. 29 May 2024. Retrieved 2025-10-26.
- ↑ "The role of the Chief AI Officer (CAIO): a guide to leading the transformation toward artificial intelligence". IESE Standout. 2018-01-01. Retrieved 2025-10-26.
- 1 2 3 4 Eddy, Nathan (9 May 2025). "The Chief AI Officer: What Is It and Who Needs One?". Retrieved 2025-10-26.