Episode Details

AI salaries are 56% higher than the average. The demand is real. The opportunity is now. But women are being left behind.

While companies are scrambling to hire AI talent and paying premium salaries, only 22% of AI roles are held by women. And the gap is widening.

Here's what nobody's telling you: this isn't just about learning a tool. It's about positioning yourself for the most in-demand, highest-paid roles that are being created right now. And if you're waiting for permission, clarity, or the perfect moment to start, you're already falling behind.

Welcome back to AI Ready Women, where Lou Compagnone, Director of Artificial Intelligence at Datacom, and I sit down with Katherine Boiciuc, CTO of EY Oceania, to talk about what's actually happening in the AI job market right now, and what it means for your career.

This is a brutally honest conversation about the skills gap, the salary premium, and why women need to stop waiting and start positioning themselves for the future of work.

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✨60 Day Bold Move Career Accelerator✨

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

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Connect with Me:

🔵 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 Katherine Boiciuc:

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

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In Today's Episode:

🟣 Why AI salaries are 56% higher on average, and how women can position themselves to access these premium roles right now.

🟣 The uncomfortable truth: Australia needs 200,000 more AI-skilled workers, and if women don't step up, we'll be importing talent instead of empowering our own.

🟣 Why XAI is paying Wall Street bankers $100 an hour to train Grok, and what this reveals about the value of human expertise in the age of AI.

🟣 The data quality crisis: why AI companies are hiring humans to teach models emotional intelligence, financial modelling, and real-world navigation, and what that means for your career.

🟣 Why 84% of Australians are using AI at work, but less than half have done any formal training, and why that's a massive risk.

🟣 The 60 30 10 model: why AI adoption at scale is 60% about people, 30% about data, and only 10% about the tools, and why most organisations are getting it backwards.

🟣 Why boring AI is where the real results are happening in enterprises: small language models, targeted agents, and task-specific automation that actually creates value.

🟣 The mindset shift