How to Break into AI Roles Without Being Technical | Erin Ashton - AI Enablement Lead, EY

You don't need to be technical to break into AI. But you do need to understand what makes you irreplaceable.

This episode is for every woman who's been applying for AI roles and hearing crickets. For every woman who thinks she's too far behind, or not technical enough, or doesn't have the right experience.

Georgie and Lou sit down with Erin Ashton, AI Enablement Lead at EY, whose background is organisational psychology, not code. Erin has spent her career solving messy people problems. And it turns out that's exactly what AI needs right now.

This conversation is about why bad AI output is the result of human judgment added too late. It's about why organisations can't train their way into a new way of working. It's about the three layers of AI roles, and why the translator layer is where the real opportunity sits. And it's about why the women who feel most uncomfortable right now are actually the ones paying attention.

If you've been waiting to feel ready before you start, this episode is your permission to begin messy.

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✨ 60 Day Bold Move Career Accelerator ✨

This episode covers where the opportunity is. If you want help positioning yourself for it, that's what the Accelerator is for.

Learn more here 👉 https://www.georgiehubbard.com/bold-moves

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📚 The Bold Move: https://www.theboldmovebook.com

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Connect with Georgie:

🔵 LinkedIn: https://www.linkedin.com/in/georgiehubbard/

🟪 Instagram: http://instagram.com/georgielhubbard

♦️ Website: https://www.georgiehubbard.com

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Connect with Lou Compagnone:

🔵 LinkedIn: https://www.linkedin.com/in/loucompagnone/

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Connect with Erin Ashton:

🔵 LinkedIn: https://www.linkedin.com/in/efogg/

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Chapters:

02:21 From organisational psychology to leading AI enablement at EY

03:40 From "AI is replacing me" to "AI is empowering me"

06:22 Eight years of generative AI experience: what companies are getting wrong

10:26 Don't make AI the skill you're good at. Use it to enhance what you already do

12:15 The three layers: builders, translators, and general users

15:51 AI work slop, and why 77% say AI work takes longer to review

17:41 Bad AI output is human judgment added too late

21:18 How Lou taught Claude to be a service designer

22:16 Why Georgie AI took a 50 page system prompt, not one clever ask

24:37 Jobs are blobs: how to break your role into tasks

32:04 Smart delegation or skill atrophy: where's the line?

35:40 You cannot train your way into a new way of working

37:53 The reverse Dunning Kruger effect

39:10 Toolset, skillset, mindset

45:57 Use it every day: the gym app and the family operating system

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If this episode resonated with you, reach out to Erin, Lou, and Georgie on LinkedIn. Let us know your biggest takeaway. Share what you're doing to break into AI roles without being technical. Tell us how you're using AI to make your work better, not just faster.

The women who get chosen for AI roles aren't always the most technical. They're the ones who can translate between the builders and the business. They're the ones who understand that AI is a people problem, not a technology problem.

The future belongs to the women who are ready for it. Let's make sure that's you.

Georgie 💜