IT leaders’ top 5 barriers to AI success

By Bob Violino for CIO.com
Jun 9, 2025

CIOs with an eye for AI’s promise of improved productivity often find their efforts hindered by data quality, skills gaps, and sabotage, among other factors.

Credit: Rob Schultz / Shutterstock

Artificial intelligence — and generative AI in particular — is fast proving to be a useful solution for increasing productivity across the enterprise but several common barriers to success remain.

The sooner IT leaders can identify and overcome these issues, the faster they will enable their organizations to get more value from AI-based systems.

Here are some of the more challenging barriers that enterprises need to knock down and how IT leaders can go about doing so.

Discover the IT leaders' top 5 barriers to AI success—click to continue at CIO.com!

About the Author:
Bob Violino is a freelance writer and content provider with a focus on technology and business innovation. Areas of coverage include cloud services, mobile technology, artificial intelligence/machine learning, social media, big data/analytics, cyber security and the Internet of Things. Bob is a frequent contributor to CIO, CSO, Network World, InfoWorld, Computerworld, and CNBC. He won a 2025 AZBEE award for his coverage of Broadcom’s acquisition of VMware. Bob holds a BS in Journalism from the University of Maryland.

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