This is the second part of our interview with Rob Webster, who has spent over 20 years in media and marketing, ran data and technology at MediaCom for some of the world's biggest brands, built and sold a MarTech and AdTech consultancy, and now works with enterprise businesses on how they actually adopt AI.

In this episode, Jess and Kyle talk to Rob about everything from navigating the messy middle to what the future of work for juniors, where AI should play in your business, what it means for how you hire and develop people, why so many organisations are stuck between experimenting and scaling, and what it actually takes to move forward.

We also cover the OpenAI vs Elon Musk trial, and how South Africa's AI Policy offers a useful reminder to always check your citations.

What You'll Learn

How to identify your best AI use cases by starting with outcomes rather than tasks
Why AI multiplies what you're doing
How junior employees can move faster and take on more accountability earlier when they have AI as a working layer
How smaller businesses are now better placed to train entry-level hires than they've ever been.
Why real-world wisdom is the skill that can never be replaced.
What the messy middle of AI adoption looks like in practice and why most organisations are stuck in it
How leaders can model AI adoption in a way that actually moves teams forward

Timestamps:

00:00 Intro & What We've Been Up To

04:09 The 10,000 Foot View: Why You Should Start Broad Before Picking an AI Use Case

10:42 What AI Means for Hiring and Training Junior Employees

14:55 Why Smaller Businesses Can Now Compete on Talent Development

16:20 Human in the Loop: Why Oversight Still Matters

19:35 The Messy Middle: Why Most Businesses Get Stuck Between Testing and Scaling

23:17 How Leaders Can Drive AI Adoption

34:02 AI News of the Week: OpenAI vs Elon Musk

34:31 AI Gone Wrong: South Africa's AI Policy Debacle

37:55 Wrapping Up for the Week

Resources: