The cost of AI, Scam Prevention, and Digitising Smell with Scentian Bio

NZ Tech Podcast44mJune 9, 2026
AI-Generated Summary

The New Zealand Tech Podcast dives into the hidden costs of AI, from skyrocketing cloud expenses to environmental tolls, while spotlighting innovative solutions like Sentient Bio’s breakthrough in digitizing smell and taste. At the heart of the episode is a stark warning: AI isn’t always cheaper than humans—Uber reportedly burned through $3 billion in months using AI for coding, revealing that unchecked AI adoption can backfire financially. Yet, the same technology is enabling transformative advances in food safety, with Sentient Bio’s low-cost chemical sensors allowing real-time quality checks on ingredients, slashing waste and recalls. The episode also highlights New Zealand’s growing tech momentum, from Health NZ’s massive cloud migration to startups leveraging agentic AI to simulate boardroom debates. But amid the optimism, a sobering message emerges: innovation must be balanced with cost control, data privacy, and environmental responsibility. The real power lies not in chasing hype, but in deploying AI with precision and purpose.

Key Takeaways
1

AI can cost more than human labor—Uber spent $3 billion in months on AI coding, proving that unchecked AI use can be financially unsustainable.

2

Sentient Bio’s AI-powered chemical sensors enable real-time food quality checks, reducing waste and recalls by replacing slow lab testing with instant on-site analysis.

3

Agentic AI is being used to simulate board members’ perspectives, helping executives prepare for meetings by anticipating tough questions.

4

New Zealand’s Health NZ is migrating 12,000 legacy servers to a hybrid cloud, a critical step toward secure, modernized healthcare infrastructure.

5

Scammers are increasingly using personalized data to craft urgent fake calls—Spark’s verified call feature helps users distinguish real from fake telecom contacts.

…and 3 more takeaways available in PodZeus

Chapters
0:00
3 min

Digitizing Smell and Taste: The Future of Sensory AI

We're giving machines a sense of smell. This is so cool. This is so cool. I'm really looking forward to delving more into that, Jonathan.

Highlight
2:50
2 min

Health NZ’s Massive Cloud Migration: A National Tech Transformation

The episode examines Health NZ’s plan to migrate 12,000 legacy servers to a hybrid cloud, a complex but essential move for modernizing healthcare data infrastructure.

5:00
3 min

The Scam Epidemic and Spark’s Verified Call Solution

When Spark are calling you, they ping the app on your phone and then update. This is my understanding. I haven't had this fully verified but this is what it looks like.

Highlight
7:30
3 min

AI’s Hidden Costs: When Machines Outspend Humans

It'd be cheaper actually to get a human to do that than to get the AI to do it.

Highlight
10:00
3 min

Agentic AI in Leadership: Simulating Boardroom Perspectives

Two Degrees CEO uses AI avatars of board members to anticipate questions and prepare for meetings, demonstrating a practical use of agentic AI.

High-Impact Quotes
that actually, oh, no, it'd be cheaper actually to get a human to do that than to get the AI to do it.
Paul Spain24:10
And the consequence of that with perishable food is by then you've already made something. And so that's why as consumers we observe in the food industry recalls and there's a lot of food waste from write -offs and there's a lot of rework in terms of manufacturing.
Jonathan Goode30:34
So we're giving machines a sense of smell. This is so cool. This is so cool. I'm really looking forward to delving more into that, Jonathan.
Paul Spain1:04
Speakers

Host

Paul Spain

Guest

Jonathan Goode
Topics Discussed
digitising smell95%ai cost90%food safety technology88%scam prevention85%agentic ai82%cloud migration80%environmental cost of ai78%ai in startups75%
People & Brands

sentient bio

organization

18xPositive

jonathan goode

person

15xPositive

spark

organization

12xPositive

health new zealand

organization

8xNeutral

two degrees

organization

6xPositive

workday

organization

5xPositive

uber

organization

5xNegative

tax traders

organization

4xPositive

warren and mahoney

organization

3xPositive

university of the united nations

organization

2xNeutral

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