1、2025LITERACYTHE STATE OFData+AIREPORTThe State of Data&AI Literacy 2025ContentsLITERACY2025IntroductionData&AI Literacy in 2025 A Generational Transformation The Data&AI Skills Gap Revisited Data and AI Skills:The Engines of Better Performance The Data&AI Skills EcosystemThe State of AI Adoption in

2、the Enterprise The Who,What,and How of AI Adoption The Gains and Challenges of Early AdoptersThe Data and AI Skills Agenda The State of Data&AI Upskilling The Challenges Leaders Are Facing in Filling the Data and AI Skills Gap The ROI of Data and AI Upskilling 5 Lessons to Effectively Upskill&Reskil

3、l Your Teams in the Age of AI 1:Align Learning ROI with Business Objectives 2:Focus on Change Management 3:Make Learning Interactive and Useful 4:Make Sure Data&AI Literacy Go Hand-in-Hand 5:Personalize Learning at ScaleThe 2025 Data and AI Competency FrameworkWhat the Future Holds for Data and AI L

4、iteracy Conclusion and Methodology Panel of Experts12371621222731323640 46475053565861626364In this era of change,one factor remains constant:skills.Now in its third edition,The State of Data&AI Literacy Report continues to track the skills agenda amidst an ever-shifting landscape,shedding light on

5、how organizations are adapting to the AI era.This year,we asked 500+leaders in the US and the UK and explored key questions shaping the future of data and AI literacy?How has the data and AI skills agenda evolved over the past 12 months?How are organizations adopting AI?How are organizations adaptin

6、g to the data&AI skills gap?What best practices can help organizations future-proof their workforce?To add to their perspectives,we have collected insights from industry thought leaders and DataCamp for Business customers on many of the themes and trends covered in this report and those for the deca