Ep 48: Australia’s AI Strategy Explained by the Head of the National AI Centre

In this episode of The AI Grapple, Kate vanderVoort, Founder & CEO, the AI Success Lab, is joined by Lee Hickin, Executive Director of the Australian Government’s National AI Centre, for a wide-ranging and practical conversation about AI adoption in Australia.

With more than 30 years in senior technology leadership roles across Microsoft and AWS, Lee brings a rare perspective that bridges enterprise technology, public policy and real-world business impact.

Together, Kate and Lee unpack where Australia truly sits on AI adoption, why our national approach has prioritised innovation alongside safety, and what business leaders need to understand to move beyond experimentation into meaningful use of AI.

This episode is essential listening for leaders navigating AI strategy, governance, data risk and long-term competitiveness.

Key themes and takeaways Where Australia really stands on AI adoption

• Why global AI rankings can distort the Australian story
• What per-capita adoption reveals about real-world usage
• The risk of fear-driven narratives slowing progress
• Why AI adoption is not a zero-sum global race

From experimentation to scale

• Why many organisations get stuck in the “AI dabble” phase
• The growing complexity gap between tools and outcomes
• Where SMEs and large enterprises face different blockers
• How clarity around business problems unlocks momentum

Understanding the National AI Strategy

• What the National AI Strategy is designed to achieve
• Why Australia chose a principles-based, pro-innovation approach
• How this differs from heavy regulatory models overseas
• What this means in practice for Australian businesses

Governance, risk and responsibility

• Why most AI failures are human, not technical
• What “good enough” AI governance actually looks like
• The role of AI literacy, fluency and leadership accountability
• Why responsibility cannot be outsourced to vendors or government

Data security, privacy and sovereignty

• Separating AI risk from existing data security challenges
• Common misconceptions about AI training and data leakage
• Why sovereignty is about ecosystems, not isolation
• How poor data practices get amplified by AI systems

Tech stack lock-in and innovation

• Why enterprise comfort with existing platforms can limit progress
• When staying inside your current stack makes sense
• How to think about best-fit AI tools for different use cases
• A clear framework for AI adoption: using AI, transforming with AI, or building with AI

International investment and Australia’s AI ecosystem

• What global AI companies investing in Australia really signals
• How Australia can benefit without losing local capability
• The importance of a strong domestic AI ecosystem
• Opportunities for Australian AI companies on the global stage

Environmental impact and sustainability

• The real environmental costs of AI and data centres
• Australian innovation in sustainable AI infrastructure
• Why AI-specific data centres require new design thinking
• Where Australia could lead globally in green AI solutions

Looking ahead

• What success looks like if Australia gets AI adoption right
• How AI may reshape work and opportunity for future generations
• Why confidence, capability and clarity are key to progress

Connect and learn more

• Lee Hickin on LinkedIn:
  https://www.linkedin.com/in/leehickin/
• National AI Centre on LinkedIn:
  https://www.linkedin.com/company/national-ai-centre/
• National AI Centre website:
  https://www.industry.gov.au/national-artificial-intelligence-centre