The Reasoning Show

The Reasoning Show AI moves fast. Thinking clearly matters more.

The Reasoning Show cuts through the hype to explore how the smartest people in enterprise AI actually make decisions — the strategy, the tradeoffs, and the hard lessons no press release mentions.

Every week, hosts Aaron Delp and Brian Gracely sit down with the founders building the tools, investors funding the shift, and operators running AI in the real world. Not hype. Not panic. Just clear-headed conversations with people who have to make actual decisions.

Because the AI revolution isn't just happening. It's being reasoned through.

New shows every Wednesday and Sunday.

Topics: Enterprise AI strategy · LLMs in production · AI leadership · Agentic AI · Digital Sovereignty · Machine Learning · AI startups · Cloud Computing

All Episodes

The Reasoning Show

Will there be a market for expert AI agents?

December 14, 2025 • Massive Studios

0:00 | 25:25

How difficult will it be to train and build an AI Agent that has expertise in a given domain? Will it happen in the next year, or 3 years or 10 years? And who will benefit in the marketplace from his evolution?

SHOW: 984

SHOW TRANSCRIPT: The Cloudcast #984 Transcript

SHOW VIDEO: https://youtube.com/@TheCloudcastNET

CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotw

CHECK OUT OUR NEW PODCAST: "CLOUDCAST BASICS"

SHOW SPONSORS:

[Mailtrap] Try Mailtrap for free
[Interconnected] Interconnected is a new series from Equinix diving into the infrastructure that keeps our digital world running. With expert guests and real-world insights, we explore the systems driving AI, automation, quantum, and more. Just search “Interconnected by Equinix”.

SHOW NOTES

OpenAI looks to train their models to replace junior bankers

WHAT WOULD BE THE STAGES OF AN EXPERT AGENT?

Train it on a set of standard knowledge (e.g. Masters of Accounting, Auditing, International Tax)
Train it on a set of well-defined case studies, to provide industry context
Train it on a set of adjacent case studies and other domains (business, law, specific industries)
How to train corner cases?
How to train gray areas like ethics, morality, or cost-benefit analysis?
Who is motivated to train these experts?
What would the cost of these experts be? Can it be similar to a human, or need to be a fraction, or a premium?
Is there a way to build memory (e.g. experience) without disclosing client information?
Is there a way to build shareable knowledge between agents for reinforcement training/learning?

FEEDBACK?