
28 April, 2026
E192 – Ella Grier, Google Cloud
In this episode of Open the Pod Bay Doors, Ian Gardiner sits down with Ella Greer, AI Customer Engineer at Google Cloud, for a deep dive into how AI is actually being built, deployed, and scaled inside real businesses today.
Ella works hands-on with some of Australia’s leading companies — from startups to enterprise — helping them design and implement AI roadmaps. This conversation cuts through the hype and focuses on what’s really happening on the ground: from early experimentation to production-scale AI systems.
They cover:
- The shift from AI experimentation to real-world deployment and scale
- What an “AI Customer Engineer” actually does inside Google
- Why startups are still the most exciting (and fastest-moving) AI adopters
- What “agents” and “agentic systems” really mean — explained simply
- How companies are moving from proof-of-concept to real business outcomes
- Why the SaaS model is under pressure — and what replaces it
- Where the new “moats” are in an AI-first world (data, verticalisation, expertise)
- The rise of usage-based pricing and token-driven business models
- How AI is reshaping product development, engineering, and startup costs
- Why great engineers still matter — and what skills actually endure
- How founders should think about AI today (and why it’s no longer optional)
They also explore:
- The future of AI pricing — why intelligence gets cheaper, but better models cost more
- Whether AGI is close (and why definitions matter)
- The role of DeepMind as Google’s research engine
- Why AI adoption is still uneven — and why most people aren’t using it deeply (yet)
- How founders and investors should evaluate AI companies in a noisy market
Ella brings a practical, engineering-first perspective with clear takeaways for founders, operators, and investors navigating the AI shift.
Quick Fire Round
📚 Book recommendation – Klara and the Sun by Kazuo Ishiguro
🎧 Podcast recommendation – Latent Space (AI engineering deep dives)
🗞️ News source – Alpha Signal (AI research + repo summaries)
👩💼 Favourite leader – Lila Ibrahim (COO, DeepMind / Chief AI Readiness Officer)
🛠️ Productivity tool – Gemini CLI (with strong context engineering)
📺 TV / entertainment – Married at First Sight (pure brain-off viewing)
A sharp, grounded conversation on where AI is actually delivering value — and what to do about it.
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