This episode marks the transition from The Cloudcast to The Reasoning Show, focusing more on AI and cloud topics. Brian Gracely (@bgracely) and Brandon Whichard (@bwhichard, @SoftwareDefTalk) discuss recent trends in AI, the evolution of tech teams, and the shifting landscape of enterprise AI tools.

SHOW: 1006

SHOW TRANSCRIPT: The Cloudcast #1006 Transcript

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

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SHOW NOTES:

• Link to February 2026 News and Articles

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Aaron and Brian discuss how The Cloudcast will be changing going forward, signaling an industry shift from Cloud Computing to AI.

SHOW: 1005

SHOW TRANSCRIPT: The Cloudcast #1005 Transcript

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

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SHOW NOTES:

Topic 1 - What are we announcing? (“The Reasoning Show”, a.k.a. “Reasoning”)

• New name, same RSS feeds (same podcast players)
• New logo
• Some existing/renamed and some new social media channels (will be listed)
• Same co-hosts (and maybe some new friends)

Topic 2 - Why are we changing The Cloudcast?

• The majority of our content is AI focused now
• Cloud has become mostly stable, AI is at the beginning and so much is changing
• We’re not abandoning Cloud, just giving it the amount of coverage needs (monthly Cloudcast, monthly CNOTM)
• Social media algorithms have changed audience acquisition

Topic 3 - Hasn’t The Cloudcast already been covering AI for a while?

• Yes, it’s been about 50/50 since 2024
• We’ve been discussing this change for almost a year.
• We actually discussed having an OpenAI-specific podcast at one point, but so much as changed in the market (which is a good reason for a diverse podcast)

Topic 4 - What can we expect from the new podcast?

• Still on Wednesday and Sunday
• Both audio and video formats (Apple, Spotify, YouTube, TikTok/Insta (clips))
• Trying to make it easier for someone new to follow along - more concentration around core topics, but not exclusively
• AI Technology, AI Economics, AI Trends, AI (Business) Use-Cases, AI Things to Watch, AI Productivity, AI Regulation
• We’ll still do a “Cloudcast” once a month, as the Cloud underpins almost everything AI
• We’ll likely do a “Reasoning Basics” spin-off, like Cloudcast Basics.
• We’ll get a newsletter pulled together (hopefully weekly).

Topic 5 - Anything else?

• Listeners don’t have to do anything to keep getting their week podcast
• Subscribe to the social media channels (show notes)
• Leave a 5-star review on the podcast players
• Tell a friend to check out the show

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This episode explores the evolving economics of AI development, the rising costs associated with AI agents, and the implications for businesses and developers. It highlights the shift from centralized to decentralized computing, the importance of understanding token budgets, and the future of AI project management.

SHOW: 1004

SHOW TRANSCRIPT: The Cloudcast #1004 Transcript

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

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

CHECK OUT OUR NEW PODCAST: "CLOUDCAST BASICS"

CHAPTERS

00:00 - Celebrating Milestones and AI Insights

02:48 - The Cost of AI Agents and Realizations

06:05 - Centralization vs. Decentralization in AI

08:51 - The Evolution of AI Economics

12:03 - Future Trends in AI and Project Management

14:52 - Connecting AI to Real-World Economics

KEY TOPICS:

• AI agent costs and pricing models
• The shift from centralized to decentralized computing
• Token budgets and project economics in AI
• Historical transitions in computing infrastructure
• Future trends in AI project management

SHOW NOTES

• When AI Tokens cost more than your employees
• Should you own (or generate) your own tokens?
• On running a startup of Claude Code agents: 1 Billion tokens a month
• Can AI grow corn?

WE'VE REACHED A POINT WITH AI WHERE PEOPLE ARE STARTING TO THINK ABOUT THE BUSINESS IMPACTS

• How much should an AI project cost?
• How do we translate an AI token into some unit that a business can understand?
• How companies be their own AI token factories?

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Aaron and Brian review some of the latest AI model releases and discuss how they would evaluate them through the lens of an Enterprise AI Architect.

SHOW: 1003

SHOW TRANSCRIPT: The Cloudcast #1003 Transcript

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

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SHOW NOTES:

• Last Week in AI Podcast #234
• Artificial Analysis.AI
• Opus 4.6 Release
• GPT Codex 5.3 Release
• GLM-5 Release
• OpenAI Preparedness Framework
• Sam’s Tweet that 5.3 Codex hit “high” ranking for cybersecurity
• Fortune Article on 5.3 high ranking

TAKEAWAYS

• The frequency of AI model releases can lead to numbness among users.
• Evaluating AI models requires understanding their specific use cases and benchmarks.
• Enterprises must consider the compatibility and integration of new models with existing systems.
• Benchmarks are becoming more accessible but still require careful interpretation.
• The rapid pace of AI development creates challenges for enterprise adoption and integration.
• Companies need to be proactive in managing the versioning of AI models.
• The industry may need to establish clearer standards for evaluating AI performance.
• Efficiency and cost-effectiveness are becoming critical metrics for AI adoption.
• The timing of model releases can impact their market reception and user adoption.
• Businesses must adapt to the fast-paced changes in AI technology to remain competitive.

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As we move into Q1 2026, Brian talks about 3 rooms where he'd like to be a fly on wall to see the blueprints of significant AI companies shaping the markets.

SHOW: 1002

SHOW TRANSCRIPT: The Cloudcast #1002 Transcript

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A FLY ON THE WALL IN 3 ROOMS IN 2026

• Room1 - NVIDIA’s M&A Room (Chips, Software Stack, Hosting Services, Agentic Tools, etc.)
• Room 2 - Anthropic’s Agentic Vision
• Room 3 - TSMC’s 2028-2030 Planning

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Aaron and Brian explore the evolving landscape of AI over the next three years, discussing its economic implications, political influences, technological advancements, partnership dynamics, changing buying patterns, and the potential impact on job creation and destruction. They emphasize the uncertainty surrounding AI's future and the need for understanding its broader implications.

SHOW: 1001

SHOW TRANSCRIPT: The Cloudcast #1001 Transcript

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

NEW TO CLOUD? CHECK OUT OUR OTHER PODCAST - "CLOUDCAST BASICS"

SHOW NOTES:

• Stratechery (Ben Thompson)

WHAT DO WE WISH WE KNEW ABOUT AI IN 3 YEARS?

• Economics
• Politics
• Technology
• Regulations
• Partnerships
• Buying Patterns
• Usage Patterns
• Devices
• Job Creation/Destruction

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If someone walked into your office today and asked you to build a framework for how to value software development, what would you think about it?

SHOW: 1000

SHOW TRANSCRIPT: The Cloudcast #1000 Transcript

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

NEW TO CLOUD? CHECK OUT OUR OTHER PODCAST - "CLOUDCAST BASICS"

SHOW NOTES:

• Chainguard introduces Factory 2.0
• On running a startup of Claude Code agents
• Agentic Product Development and the Theory of Constraints
• Software Abundance

HOW SHOULD SOMEONE THINK ABOUT THE ECONOMICS OF SW DEV IN 2026?

• If someone walked into your office today and asked you to build a framework for how to value software development, how would you think about it?

FEEDBACK?

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Are we ready to move into an era of wild predictions about where the future of Enterprise software is headed in 2026 and beyond?

SHOW: 999

SHOW TRANSCRIPT: The Cloudcast #999 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 NOTES

• The SPAC-king is going to fix legacy software
• All Enterprise software is dead
• Microsoft and Software Survival (Stratechery)

WHAT HAPPENS TO ENTERPRISE SOFTWARE NEXT?

• How much do enterprises want to write their own software?
• How much do enterprises wish they could write more software?
• How much do enterprises not understand the economics of owning their own software?
• How much does “big SaaS” or just “big Enterprise software” actually help because people already know it?
• Is it possible that this new Agentic-driven software could create a type of new software community?
• Are “open” software communities prepared for the emerging economics of AI-created software?

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