Aonghus Stevens, founder of Asseti, built his first drone business as a teenager and now leads one of Australia’s most fascinating AI infrastructure startups. In this episode, he shares why the real money in AI isn’t in the apps, but in the unsexy, invisible backend of enterprise and asset management.

Georgie and Aonghus unpack the surprising power of drones and defect detection, why asset degradation is a billion-dollar problem, and how Asseti is using AI to transform the way buildings, warehouses, and industrial sites are monitored and managed. They also dive into what makes a great VC partner, how to talk AI without sounding like a buzzword machine, and why drone delivery startups might be more hype than hope.

Plus, Aonghus names the one boring AI workflow that’s actually revolutionising how massive global clients manage their assets, and why most legacy systems are still stuck in 1995.

02:19 – Aonghus’ Origin Story: From Teen Drone Dealer to Founder

05:03 – Drones 101: Fixed Wing, Multirotor, and Enterprise Use Cases

08:13 – AI Hack of the Week: SQL Without Writing a Line of Code

11:29 – Why Drones Are Just the Beginning at Asseti

14:16 – Turning PDF Reports Into Live Asset Intelligence

16:20 – How AI, Imagery & Photogrammetry Power Asseti

18:41 – Startup Trade-Offs: When to Spend vs. Let It Burn

22:56 – The Broken Workflows in Asset Management

25:31 – Ideal Clients for Asseti & The Scale Problem in Inspections

30:14 – Lame or Lucrative: Drone Coffees, Google Wing, Flying Cars

36:17 – What Makes a Great VC (and Why Timing Is Everything)

40:15 – Form vs. Function, Flying Cars & Startups with Grit

42:45 – Where to Find Asseti and Why It’s a Quiet Game-Changer

🙋🏻‍♂️ Aonghus Stevens Linkedin https://www.linkedin.com/in/ajbstevens/

👶 Aonghus Stevens on Forbes 30 Under 30 https://www.forbes.com/profile/aonghus-stevens/?ctpv=searchpage

🛩️ Asseti https://www.asseti.co/

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Sarah Kaur is not your typical technologist, and that’s the point. As Principal Design Strategist at Portable, she brings an artist’s eye and a community-first mindset to the world of AI and justice tech. In this episode, Sarah joins Georgie Healy to explore what it really means to build AI that works with people, not just on them.

They dive into the hidden biases in design, the pitfalls of “black box” systems, and the real cost of leaving communities out of the development process. From building tools in Australia’s family law system to dreaming up a sovereign digital twin that protects your data, Sarah’s approach to ethical innovation is bold, reflective, and deeply grounded in care.

Whether you’re designing for scale or simply wondering how AI can be made more equitable, this conversation will give you a new lens on what it means to build technology that respects, adapts, and listens.

03:20 – From Artist to AI Strategist: Sarah’s Unconventional Path

07:42 – What Human-Centred AI Actually Means

11:57 – Sitting in Ambiguity: The Black Box Camera Experiment

14:40 – Using ChatGPT to Surface Personal Bias

18:20 – What the Public Doesn’t Understand About AI Design

22:32 – Why Co-Design Matters More Than Ever

30:32 – Designing With Communities, Not Just for Them

35:40 – When Explainability Matters More Than Accuracy in AI

40:00 – Inside Portable’s AI Sprint Model

43:02 – Ethical AI vs. Imaginative AI

47:31 – Dream Tech: A Sovereign Digital Twin That Asks for Consent

👩‍💻 Sarah Kaur on LinkedIn – https://www.linkedin.com/in/sarahkaur/

🏢 Portable – https://www.portable.com.au/

📘 Amica (Family Law Tool) – https://www.amica.gov.au/

🛠️ AI Sprint Model by Portable – https://www.portable.com.au/articles/ai-design-sprints

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Laura McClure, Member of Parliament for the ACT Party in New Zealand, joins In the Blink of AI to unpack her viral deepfake experience, her groundbreaking member’s bill, and why tech regulation must protect victims without stifling innovation.

In a powerful conversation, Laura reveals how she created a deepfake of herself in minutes—and why it’s a wake-up call for policymakers worldwide. She shares insights on balancing tech freedoms with responsible safeguards, why regulation is about behaviour not banning tools, and how New Zealand’s slow policy-making could leave them lagging behind.

Laura also discusses how ACT’s libertarian values shape her pro-innovation, pro-startup stance and why deepfakes are a threat not just to teenagers, but to democracy itself. From the electricity grid challenges that could stall New Zealand’s AI adoption to the opportunities in agriculture and defence, this is a must-listen for founders, policymakers, and anyone passionate about the future of technology.

02:20 – Meet Laura McClure (ACT Party MP): From accidental politician to tech advocate

07:25 – Why Laura Entered Politics: Tackling New Zealand’s alarming government debt

09:13 – AI Hacks of the Week: Game-changing educational tech and viral LinkedIn strategies

13:24 – Going Viral with a Nude Deepfake: The shocking truth behind Laura’s Parliament demonstration

23:47 – Why Target Individuals, Not Tech: How Laura’s bill tackles deepfake abuse effectively

27:16 – Pro-Tech, Not Pro-Regulation: Laura’s vision to accelerate AI adoption in NZ and Australia

35:01 – The Infrastructure Challenge: What NZ must fix to power an AI-driven future

39:57 – Skills for the AI Era: Why critical thinking trumps rote learning

44:50 – Laura’s AI-Powered NZ: Her 5–10 year vision of an AI-enabled economy

👩‍💼 Laura McClure on LinkedIn – https://www.linkedin.com/feed/update/urn:li:activity:7330443186185613312/

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Kunal Gupta, founder, investor, and author of 2034: How AI Changed Humanity Forever, joins Georgie Healy for a deep dive into the intersection of AI, self-awareness, and responsible innovation. From his base in sunny Lisbon, and with a live cameo from his AI clone, Kunal shares how meditation, writing, and intentional living helped him navigate burnout and build resilience in the fast-paced world of AI.

This episode unpacks the rise of the “digital aristocracy,” explores the untapped potential of AI literacy as the next great equaliser, and reveals Kunal’s personal hacks for balancing the demands of a hyper-connected world. He also gives listeners an inside look at his acclaimed AI newsletter, Pivot Five, and why consistency, and curiosity, are key to building authentic communities in the AI era.

Whether you’re an entrepreneur, AI enthusiast, or just trying to find balance in an AI-driven world, Kunal’s insights will inspire you to ask the right questions, and stay human at the heart of it all.

03:06 — How Meditation Helped Kunal Conquer Burnout

07:49 — From Burnout to Introspection: The Power of Knowing Yourself

11:13 — Kunal’s First Ever Blog Post: A Time Audit That Changed Everything

15:17 — AI Hack of the Week: Summarising PDFs with ChatGPT

17:44 — The Value of Prompting ChatGPT to Learn About Yourself

20:20 — Why Kunal Wrote 2034, And What’s Already Coming True

22:24 — The Rise of the Digital Aristocracy and AI’s Social Divide

29:21 — Designing AI for Seniors: A Huge Untapped Opportunity

31:19 — Why AI Literacy is the Next Big Equalizer

35:00 — Experimenting with Kunal’s AI Clone—Live on Air

38:57 — The Ethics of AI: Enhancing Humanity vs. Diminishing It

42:03 — How Education Must Adapt for AI Literacy

46:41 — Building Communities & Movements in the AI Era

48:15 — Staying True to Yourself: Consistency, Expectation, and Trust

50:16 — Rapid Fire: AI Dinner Guests, AI Music, and Tech’s Next Big Bets

53:13 — The Great Humbling of Humanity: The Future of Work & Skills

👨‍💻 Kunal Gupta on LinkedIn – https://www.linkedin.com/in/bykunal/

📚 Pivot Five AI Newsletter – https://pivot5.beehiiv.com/

📝 How to Live Weekly Journal – https://www.howto.live/

📘 2034: How AI Changed Humanity Forever (Book) – https://www.amazon.com/2034-How-Changed-Humanity-Forever/dp/B0D8VB32NJ

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Oscar Wahltinez, AI engineer at Google Sydney and longtime advocate for responsible AI, joins In The Blink of AI to demystify the most hyped, and misunderstood, parts of the AI revolution. From model size myths and token prediction mechanics to the surprising truth behind model leaderboards, Oscar explains the inner workings of large language models (LLMs) in clear, human terms.

With nearly a decade at Google, including time at the legendary Mountain View campus, Oscar shares his technical insights, product gripes (sorry, Google Assistant), and reflections on what it actually means to build AI responsibly. You’ll hear about the core innovations behind modern LLMs, the rise of decoder-only models, and the power of RAG systems and embeddings. He also calls on AI startups to stop obsessing over the models, and start building for real users.

If you’re wondering how AI models actually work, what responsible AI looks like in practice, or whether AGI will be our greatest asset or deepest threat, this one’s for you.

02:14 – Oscar’s Role at Google & Why Responsible AI Matters

06:04 – Hack of the Week: Using Gemini (and Oscar’s Honest Review)

10:07 – How LLMs Really Work (and Why It’s Just Predicting the Next Word)

14:21 – From Transformers to Emergent Behaviours: What Surprised Engineers

21:29 – AI Leaderboards, Model Size & the Case for Smaller Systems

28:40 – Decoder vs Encoder Models: What You Actually Need to Know

33:15 – How RAG & Embeddings Power Real-World AI Products

36:41 – What Is Responsible AI? And Why You Can’t Bolt It On Later

39:17 – Building Responsibly on a Budget: Oscar’s Advice to Founders

43:46 – Product Confession: Why Google Assistant Let Him Down

45:05 – AGI: Net Positive or Existential Risk?

👨‍💻 Oscar Wahltinez on LinkedIn – https://www.linkedin.com/in/owahltinez/

📚 Google’s Responsible Generative AI Toolkit – https://ai.google.dev/responsible

🚀 Google AI First Accelerator – https://startup.google.com/programs/accelerator/ai-first/australia/

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🎟 Live Show at UNSW – May 29

Catch Georgie and Andrew McCarthy (Head of APAC at Notion) live in Sydney 👉https://bit.ly/BAI-LiveEvent

Katherine Boiciuc, Chief Technology and Innovation Officer at EY Oceania, delivers a powerful wake-up call on why Australia is at risk of becoming a global AI laggard. With a unique perspective at the intersection of technology, innovation, and policy, Katherine breaks down how Australia, despite inventing WiFi, is sitting on the sidelines of the AI revolution, missing a $115 billion economic opportunity. She shares how EY has up-skilled over 85% of its 400,000-strong workforce in AI, built the world’s largest private AI platform, and implemented AI agents at scale, while most organisations are still debating their first AI hires.

This episode dives deep into what Australia needs to do now to avoid falling irreversibly behind, from setting a bold national AI strategy to investing in mass up-skilling programs and embracing AI across industries like healthcare, financial services, retail, and energy. Katherine also offers inspiring and practical advice for women looking to pivot into AI, shares her favourite tools and productivity hacks (including the AI prompt that gives her “permission to log off” for the day), and calls on every listener to claim their seat at the AI table, before it’s too late.

03:03 – What Is EY’s AI Story & Their Internal AI Training Playbook

06:28 – EY’s Private AI Platform: How EYQ Empowers 120,000+ Employees

13:48 – Australia’s Missed Economic Opportunity: $115B at Stake

16:51 – Why EY Built the AI Sentiment Index, And What It Revealed

23:32 – The Three Fixes Needed to Course-Correct Australia’s AI Future

30:40 – The Five Industries Australians Want AI To Transform

35:18 – KB’s Advice for Women Reentering the Workforce in the AI Age

39:39 – Rapid Fire: Why Voice-Activated AI Is the Next Big Frontier

🙋‍♀️ Katherine Boiciuc on LinkedIn – https://www.linkedin.com/in/katherineboiciuc/

📚 EY Skills Passport for Free AI Training - https://www.ey.com/en_gl/ai-skills-passport

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🎟 Live Show at UNSW – May 29

Catch Georgie and Andrew McCarthy (Head of APAC at Notion) live in Sydney 👉https://bit.ly/BAI-LiveEvent

Jacky Koh, Co-Founder and Co-CEO of Relevance AI, has been building AI agents long before they became the hottest trend of 2025. Fresh off their Series B raise, Relevance AI is on a mission to democratise access to AI agents, making them easy to build for everyone, not just engineers.

In this conversation, Jacky unpacks why most “AI agents” today are just glorified workflows, how real multi-agent systems will power the future of business automation, and why Australia needs to think bigger if it wants to compete globally. Plus, he shares the origin story of Relevance AI’s iconic pixel-art agents, how he leads calmly under pressure, and his spicy predictions for AI’s next black swan event.

00:00 – Introduction: Who is Jacky Koh & What is Relevance AI?

03:26 – Why AI Agents Aren’t Just for Developers Anymore

05:42 – Should You Still Study Software Engineering in the Age of AI?

12:24 – The Origin Story of Relevance AI and Their Pivot to Agents

14:16 – What People Get Wrong About AI Agents (Single vs. Multi-Agent Systems)

17:43 – Are Most AI Agents Just Glorified Workflows?

19:25 – Why Relevance AI Uses Pixel Characters (Hint: Pokémon Fans Will Love This)

23:41 – How Jacky Manages Stress and Crisis Moments as a Founder

28:37 – Building a Global Business: The Difference Between Aussie & U.S. Investors

34:47 – How Founders Should Pick AI Models and Avoid Lock-In

40:51 – Jacky’s Hot Take: The One Black Swan AI Event We Might See This Year

47:02 – How to Keep AI Agents Ethical

50:51 – Rapid Fire: Silicon Valley Myths, Scary AI Headlines & Favourite Pokémon

👨🏻‍💻 Jacky Koh’s LinkedIn – https://www.linkedin.com/in/jackykoh/

🤖 Relevance AI – https://relevanceai.com/

To learn more, join our newsletter to be notified of new In The Blink of AI episodes and upcoming shows.

🎟 Live Show at UNSW – May 29

Catch Georgie and Andrew McCarthy (Head of APAC at Notion) live in Sydney 👉https://bit.ly/BAI-LiveEvent

Millie Marconi is the founder and CEO of Yesterday, and the creator of Test Feed, a breakout AI tool that lets users preview how their content will land with a synthetic audience before posting it online. In this episode, Millie shares the story behind building Test Feed after a viral LinkedIn post backfired and sparked a personal reckoning around reputational risk.

We explore how synthetic audiences are making elite-level brand testing accessible to everyday founders, why building in public is both terrifying and empowering, and what non-technical founders can bring to the AI table. Millie also opens up about her nomadic lifestyle, her favorite AI tools (Claude and Gemini, anyone?), and the unexpected upside of being “canceled.”

02:25 – What Millie’s Building: Yesterday & Test Feed

04:52 – Why Synthetic Audiences Are a Game-Changer

06:14 – The Demo That Went Viral: Over 800 Signups

07:58 – How a Personal Misstep Sparked the Idea for Test Feed

10:43 – Who Test Feed Is For: Founders, Content Creators, and Social Media Managers

13:11 – Building in Public vs. Stealth Mode

16:48 – Female Founders, Visibility & Vulnerability

19:52 – What Non-Technical Founders Bring to the AI Era

22:45 – Integrating AI into Test Feed as a Non-Technical Founder

26:20 – AI Tools Millie Loves: Claude, Cursor, Gemini, and More

33:43 – Just Play: How to Get Started with AI Without the Overwhelm

36:06 – Digital Nomad Life: Lessons From 2.5 Years on the Move

42:17 – Rapid Fire: Guess That Cringe Tweet (Trump vs Elon Edition)

🙋‍♀️ Follow Millie on LinkedIn - https://www.linkedin.com/in/millie-marconi/

💼 Yesterday Testfeed - https://yesterday.work/

🧵 Millie’s LinkedIn Post on “Masculine Energy” - https://www.linkedin.com/posts/millie-marconi_after-interviewing-100-hr-leaders-about-activity-7284745207923781632-QU-X?utm_source=share&utm_medium=member_desktop&rcm=ACoAACb9cQIBMRvkSzVlzjznYUqzAEsWp-Q5zBo

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Mentioned in this episode:

PMB Trailer

PMB Trailer