Wayne Hoggett — prolific Pluralsight author of 40+ courses across cloud, Kubernetes, and AI — joins Josh Burkhead to talk about what changes when AI moves from a tool you reach for to something embedded in every part of how you work. Wayne shares a striking admission: despite a heavy cloud-engineering background, he hasn't written code by hand in nearly a year — and what that shift signals for the teams technology leaders are building today.
We dig into how the engineering role is being redrawn around AI: why architecture, judgment, and business context are becoming the durable human skills, why cutting junior talent to offset AI spend quietly shuts down your future pipeline, and how leaders should rethink hiring and team design when everyone on the team can generate working code in minutes. Wayne makes the case for building automation-first, AI-first workflows — then deciding deliberately where humans still need to be in the loop.
We also get practical on the harder questions: how to prove ROI on AI and L&D investment, how to surface and govern "Shadow AI" instead of banning it, and why self-deployed agentic AI raises the stakes on security, defense in depth, and how fast your team can patch critical systems.
Whether you lead a technology org, own an L&D strategy, or are an engineer trying to stay valuable as AI absorbs more of the execution work, this conversation is a grounded look at where the work is actually heading.
Topics covered:
Redesigning teams and hiring for an AI-first world — and why architecture and business context are the skills that last
The real cost of cutting junior talent to fund AI investment, and the talent-pipeline gap it creates
Proving ROI on AI and L&D initiatives by starting with low-hanging-fruit workflows
Governing "Shadow AI" — enabling the tools your people already use instead of blocking them
Securing self-deployed agentic AI: defense in depth, automated patching, and responding fast to new vulnerabilities
Chapters:
00:40 Welcome & Guest Intro
01:15 Inside Wayne's World: Learning, Building, Teaching
03:58 Is AI a Natural Fit or a Forced One?
04:39 Don't Skip the Fundamentals: Building T-Shaped Skills
07:01 Linux, Windows, and France's Government Switch
08:31 "I Haven't Written Code in a Year"
10:33 The Moment AI Changed How Wayne Works
12:05 Hiring Entry-Level Talent for Business Awareness
13:37 Fewer Developers? Where the Headcount Logic Breaks Down
14:44 Building Automation-First, AI-First Teams
15:25 What an "AI-First View" Actually Looks Like
16:17 When AI Code Creates More Work Than It Saves
18:38 Rethinking Cloud Expertise on Your Team
20:00 Why Self-Deployed Agentic AI Worries Wayne
21:23 Staying Valuable as an Engineer: Architecture & Patterns
22:32 The Return of the Business Analyst Mindset
25:35 How AI Is Reshaping Cloud Infrastructure Itself
27:19 Shadow IT to Shadow AI: Enable, Don't Block
28:36 Reliability, Determinism, and New Job Titles
32:32 Proving ROI: Start with Low-Hanging Fruit
34:09 Security & the Mythos Headlines: Defense in Depth
36:42 Giving Teams a Safe Sandbox to Experiment
37:59 Closing Thoughts
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Wayne Hoggett on Pluralsight - https://www.pluralsight.com/authors/wayne-hoggett
Connect with Wayne on LinkedIn: https://www.linkedin.com/in/waynehoggett/
Questions or comments? podcast@pluralsight.com
