In this episode of The Macro AI Podcast, Gary Sloper and Scott Bryan unpack one of the most consequential—but quietly introduced—AI launches to date: ChatGPT Health.

Rather than focusing on hype, the conversation starts with fundamentals. What does ChatGPT Health actually do? What systems can it connect to? How does it stay current with your health information? And how is it architected to operate safely inside one of the most regulated domains in the world?

From there, Gary and Scott explore how OpenAI has deliberately framed ChatGPT Health as a grounded, trust-first intelligence layer, designed to interpret and explain verified health data—rather than replace clinicians or generate unbounded medical advice. They discuss the technical architecture behind the platform, including interoperability, real-time contextual data assembly, and the “health sandbox” model that keeps personal data isolated and protected.

The conversation then zooms out to examine the macro implications: the end of “Dr. Google,” the shifting role of patients and clinicians, the redistribution of cognitive labor in healthcare, and the emerging governance questions around data sovereignty and AI-mediated decision-making.

Finally, the episode connects these lessons to a broader business audience—explaining why ChatGPT Health isn’t just a healthcare story, but a blueprint for how AI will move into the interpretation layer of complex, high-stakes industries everywhere.

Send a Text to the AI Guides on the show!

About your AI Guides

Gary Sloper

https://www.linkedin.com/in/gsloper/

Scott Bryan

https://www.linkedin.com/in/scottjbryan/

Macro AI Website:

https://www.macroaipodcast.com/

Macro AI LinkedIn Page:

https://www.linkedin.com/company/macro-ai-podcast/

Gary's Free AI Readiness Assessment:

https://macronetservices.com/events/the-comprehensive-guide-to-ai-readiness

Scott's Content & Blog

https://www.macronomics.ai/blog

As artificial intelligence moves from experimentation to large-scale deployment, the conversation about jobs is finally shifting—from speculation to evidence.

In this episode of the Macro AI Podcast, Gary and Scott unpack the most important recent research on AI and labor markets, including Vanguard’s 2025–2026 “Job Growth Paradox,” the IMF’s AI preparedness and global stability warnings, and the Roosevelt Institute’s analysis of who really captures AI-driven productivity gains.

Rather than asking whether AI will eliminate jobs, this discussion explores a more nuanced—and more urgent—set of questions:

• Why are some of the most AI-exposed roles seeing higher wages and increased hiring?
• How does AI change demand, productivity, and firm-level growth?
• Why could AI widen global and organizational inequality if leaders aren’t intentional?
• What does the shift from task execution to direction and orchestration mean for leadership, talent, and career paths?

Gary and Scott examine how AI is reshaping work at the task level, why demographics and labor scarcity matter more than most headlines suggest, and how agentic AI systems are accelerating the move toward an “economy of direction.”

The episode closes with clear, practical guidance for executives on how to think about AI not as a cost-cutting tool—but as a capacity-expansion strategy that demands new leadership choices.

If you’re a business leader trying to understand what AI really means for jobs, growth, and competitiveness in 2026, this is a conversation you won’t want to miss.

Send a Text to the AI Guides on the show!

About your AI Guides

Gary Sloper

https://www.linkedin.com/in/gsloper/

Scott Bryan

https://www.linkedin.com/in/scottjbryan/

Macro AI Website:

https://www.macroaipodcast.com/

Macro AI LinkedIn Page:

https://www.linkedin.com/company/macro-ai-podcast/

Gary's Free AI Readiness Assessment:

https://macronetservices.com/events/the-comprehensive-guide-to-ai-readiness

Scott's Content & Blog

https://www.macronomics.ai/blog

In this episode of the Macro AI Podcast, Gary and Scott break down the newly announced U.S. Tech Force and explain why it represents a major shift in how the federal government approaches artificial intelligence, technology talent, and workforce strategy.

Announced in mid-December 2025 by the U.S. Office of Personnel Management with White House backing, the U.S. Tech Force is designed to recruit highly skilled technologists for time-bound service inside federal agencies. The goal isn’t just IT modernization — it’s building real, internal capability to deploy, govern, and scale AI responsibly across government.

Gary and Scott walk through how the initiative came together, why it’s structured around skills rather than degrees, and why the initial target of roughly 1,000 technologists is intentional. They explore how even small numbers of deeply technical talent can unlock stalled AI projects, modernize legacy systems, and reduce long-term reliance on external vendors.

The conversation also connects the dots for business leaders. As government modernizes and embeds AI expertise internally, expectations around procurement, compliance, interoperability, and data standards will rise. The episode examines how this initiative could influence the future AI talent pipeline, shape public-sector AI standards, and eventually evolve into a permanent federal technology or AI corps.

If you’re a business leader, technologist, or policymaker trying to understand what the U.S. Tech Force is, why it matters, and what it signals about the future of AI talent and national competitiveness, this episode provides the context you need.

Send a Text to the AI Guides on the show!

About your AI Guides

Gary Sloper

https://www.linkedin.com/in/gsloper/

Scott Bryan

https://www.linkedin.com/in/scottjbryan/

Macro AI Website:

https://www.macroaipodcast.com/

Macro AI LinkedIn Page:

https://www.linkedin.com/company/macro-ai-podcast/

Gary's Free AI Readiness Assessment:

https://macronetservices.com/events/the-comprehensive-guide-to-ai-readiness

Scott's Content & Blog

https://www.macronomics.ai/blog