AI Salaries Are 56% Higher! How Women Can Break Into the Most In-Demand (And Highest Paid) Roles Right Now

AI Salaries Are 56% Higher! How Women Can Break Into the Most In-Demand (And Highest Paid) Roles Right Now

Career GrowthJob SearchInterviewTech Trends
Published: 3/29/2026

Show Notes

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 πŸ‘‰ https://www.georgiehubbard.com/bold-moves

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Connect with Me:

πŸ”΅ LinkedIn: https://www.linkedin.com/in/georgiehubbard/

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

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

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Connect with Lou Compagnone:

πŸ”΅ LinkedIn: https://www.linkedin.com/in/loucompagnone/

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Connect with Katherine Boiciuc:

πŸ”΅ 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 from time management to energy management, and why saying "I don't have time" is actually saying "I'm choosing not to prioritise my career."

🟣 The democratisation of AI: why you no longer need to be a Silicon Valley engineer to build apps, create agents, or access world-class tech capabilities.

🟣 The 1996 chess match between Garry Kasparov and IBM Deep Blue: the 30-year-old signal we all missed about the future of human and AI collaboration.

🟣 Why women need to stop waiting for clarity, permission, or the perfect moment, and start building AI skills now before the opportunity passes them by.

🟣 The exact micro credentials and free training resources you can access today to start building your AI literacy and career confidence.

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If this episode resonated with you, reach out to KB, Lou, and me on LinkedIn. Let us know your biggest takeaway. Tell us what AI skills you're building. Share what micro-credentials you're working on.

And if you know an incredible woman working in AI, tech, or digital who should be on this podcast, send us her name. We want to amplify women's voices. We want representation. We want you in the room.

The future belongs to the women who are ready for it.

Let's make sure that's you.

Georgie πŸ’œ

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