EconPapers    
Economics at your fingertips  
 

AI Executive Compensation: Insights from Europe and the United States

Rohan Sharma

Chapter Chapter 26 in AI and the Boardroom, 2024, pp 329-340 from Springer

Abstract: Abstract This chapter explores the roles and organizational structures essential for effective AI leadership. AI leaders, such as Chief Data Officers, Heads of AI, and Chief Data Scientists, play pivotal roles in integrating AI into business strategies. The chapter highlights the varied experiences of AI leaders, their industry backgrounds, and the strategic differences in their reporting structures across regions. Imagine an organization seeking to leverage AI for growth. Whether AI leaders report to a CTO or directly to a CEO affects how AI initiatives align with broader business goals. Understanding these dynamics, along with compensation insights, helps organizations attract and retain top talent, ensuring AI projects are well-supported. Key takeaway: Define clear roles, establish strategic reporting lines, and offer competitive compensation to create an environment that fosters AI innovation. Evaluate your organizational structure and leadership approach—are you positioning your AI leaders for success?

Date: 2024
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:979-8-8688-0796-1_26

Ordering information: This item can be ordered from
http://www.springer.com/9798868807961

DOI: 10.1007/979-8-8688-0796-1_26

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-04-02
Handle: RePEc:spr:sprchp:979-8-8688-0796-1_26