Why are so many AI projects failing to deliver real business value, despite the hype and investment? In this episode, I sit down with Jay Litkey, SVP of Cloud & FinOps at Flexera, to explore the growing gap between AI ambition and measurable results. We discuss why findings from PwC reveal that only a small percentage of CEOs are seeing both revenue growth and cost savings from AI, and why the issue often comes down to a lack of clear outcomes, financial discipline, and governance rather than the technology itself. Jay shares what organizations are getting wrong, why many are stuck in experimentation mode, and what it really means to go back to basics in 2026. The conversation also reframes FinOps for the AI era, moving beyond cost control to a model that connects AI usage directly to business value, aligns finance with engineering, and introduces the guardrails needed to scale responsibly. If you are investing in AI or planning your next move, this episode offers a clear lens on how to turn potential into performance. Useful Links <ul> <li><a href="https://www.linkedin.com/in/jaylitkey/">Connect with Jay Litkey from Flexera</a></li> <li><a href="https://www.flexera.com/">Learn More About Flexera</a></li> </ul> Visit the May Sponsors of Tech Talks Network and learn more about the <a href="https://nordlayer.com/browser/">NordLayer Browser.</a>

Podurama

Home

Trending

Personal

Your Podcasts

New Episodes

My Files

Favourite Episodes

Tags (Folders)

Recently Played

Bookmarks

Followed Playlists

Flexera: Why 2026 Is AI's 'Back to Basics' Moment

Tech Talks Daily

AI Chapters

AI Insights

Reviews