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August 11, 2026

AI Ethics in the Age of Enterprise AI & Agentic Systems with Aubrey Blanche

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 ...

AI Ethics in the Age of Enterprise AI & Agentic Systems with Aubrey Blanche

Hosted by:

Georgia Smith Matthew Gillard

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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