We've seen this movie before. The FOMO, the holdouts, the surprise bills. In this episode of The Pluralsight Podcast, Josh sits down with Andru Estes, Pluralsight author and cloud architect, to unpack why today's AI gold rush looks so much like the early days of cloud adoption, and how to avoid repeating the same expensive mistakes.
We explore:
Why so many AI projects fail in the planning phase, and the first question every team should ask: do we even need this tool?
Where AI and cloud costs spiral unexpectedly (hint: it's all about data), and how a FinOps mindset with real-time visibility keeps experimentation governed instead of gated
Why being certified doesn't mean being qualified, and the hands-on habits that actually close the gap
The hidden cost of AI coding tools: skill atrophy, senior engineers stuck babysitting, and the vibe coding cleanup Andru sees coming
Common AWS design mistakes, from lift-and-shift bill shock to skipping the planning phase entirely
The builder's mindset: discipline over motivation, failure as one of the best teachers, and why there's no such thing as a dumb question
Connect with Andru Estes: https://www.linkedin.com/in/andru-estes/
Explore Andru's courses on Pluralsight: https://www.pluralsight.com/resources/blog/blog-author/andru-estes
Stay up to date on everything from AI and cloud to cybersecurity with our weekly newsletter: https://www.pluralsight.com/technews/
Check out more episodes and subscribe: https://www.pluralsight.com/resources/podcasts/the-pluralsight-podcast
Questions or comments? podcast@pluralsight.com
Chapters:
1:55 Why the AI wave feels like early cloud adoption
4:13 Repeating old mistakes: do you even need the tool?
6:07 What leaders miss: governance, security, and infrastructure
8:38 Signals you're adopting AI the right way
11:36 Where costs spiral: data, FinOps, and guardrails
14:34 Certified doesn't mean qualified
16:41 Becoming capable, not just credentialed
19:29 Splitting time between certs and stretch projects
20:57 AI coding tools, skill atrophy, and tech debt
24:17 The coming vibe coding cleanup
25:17 Common AWS design mistakes
26:32 What a successful planning phase looks like
29:57 Overengineering vs. smart future-proofing
32:00 Staying current with the KISS approach
33:19 The Kubernetes hot take
34:15 Mindset advice for cloud engineers
35:58 Failing in production: a story
39:32 Connect with Andru
