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Navigating business and contemporary tech in the Cloud. Join Georgia and Matt as they unpack and simplify an important Cloud topic aimed at executives and business leaders. Along with the occasional special guest they will cover all things Cloud from strategy, execution, practical business use cases and much more!
Navigating business and contemporary tech in the Cloud. Join Georgia and Matt as they unpack and simplify an important Cloud topic aimed at executives and business leaders. Along with the occasional special guest they will cover all things Cloud from strategy, execution, practical business use cases and much more!
Episodes

2 days ago
2 days ago
49 min
In Episode 42 of Cloud Dialogues, Georgia and Matt are joined by AI ethicist and The Mathpath founder Aubrey Blanche for a candid, provocative and surprisingly funny conversation about responsible AI in the real world.
We explore:
🔐 AI security and sovereignty
Frontier-model hype, open-weight models, enterprise security, data residency and why Microsoft doesn’t necessarily need the “best” product to win.
🧠 “More capable,” not “smarter”
Why anthropomorphising AI distorts how we understand - and interact with - the technology.
⚖️ What algorithmic discrimination actually looks like
Why “the evil computer did it” is rarely an accurate or useful diagnosis - and why understanding the mechanism matters if we genuinely want to fix it.
📈 The problem with productivity as the goal
Making broken processes faster may simply produce more garbage, more efficiently.
🎯 Incentives drive behaviour
Including the inevitable consequences of token-maxing dashboards, performance targets based on AI usage and telling employees they must use six tools whether they need them or not.
👩💻 Why eliminating junior roles is spectacularly shortsighted
Tokens may now be more expensive than interns - and without junior employees today, organisations won’t have senior experts tomorrow.
👥 Pair prompting and human expertise
How teams can use AI to accelerate delivery while preserving reasoning, shared knowledge, mentorship and technical skills.
💸 The economics behind the AI narrative
Why frontier-model companies need an enormous addressable market to justify their valuations - and why that makes “AI will replace all human labour” an extremely convenient story.
🌍 Who gets to shape AI?
Who decides what should be automated? Whose problems receive investment? Who benefits from the dominant narrative - and what possible futures disappear when we accept it without question?
A practical discussion about adopting AI intentionally, creating genuine business value and building systems that work without forgetting the humans inside them.
Also featuring:
✨ 100 beautiful AI-generated slides that may or may not be useful
🔥 The consultant you hire when you want the truth
🪙 Tokens being set on fire for the performance dashboard
🚗 AI’s ongoing refusal to wash Aubrey’s car

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