In this episode of The Macro AI Podcast, Gary Sloper and Scott Bryan break down why Amazon’s Trainium chip is not just a hardware announcement, but a signal that the economics of AI are fundamentally changing.

They explore how Amazon Web Services is using custom silicon like Trainium to shift enterprises from renting AI to building and owning it—and why that strategy only works when customers go deeper into the AWS ecosystem. This isn’t about winning benchmark battles; it’s about creating economic gravity around where AI gets built.

The conversation also tackles the question every executive is asking: How does this compare to Nvidia? While NVIDIA continues to dominate AI innovation and experimentation, AWS is focused on industrial-scale economics—making large, repeatable training workloads cheaper, more predictable, and easier to operationalize inside its cloud.

Gary and Scott then connect the dots to real enterprise strategy, including:

• Why AI infrastructure decisions are becoming long-term financial commitments
• How custom chips influence cloud pricing power and cost curves
• The rise of multi-cloud strategies that separate AI innovation from AI economics, including the role of Oracle Cloud Infrastructure as a cost-efficient execution layer
• Why FinOps is becoming essential as AI training, retraining, and inference costs compound over time

The key takeaway for business leaders: AI advantage won’t come from simply adopting the latest models. It will come from who controls the economics of building, scaling, and evolving AI over the next decade.

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 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

In this flagship episode, Gary Sloper and Scott Bryan deliver the most comprehensive executive briefing to date on Cyber Defense for Generative AI—a real-world, board-level conversation every business and technology leader needs to hear.

Generative AI is transforming how enterprises operate, but it also introduces an entirely new attack surface. Traditional cybersecurity models were never built for systems that reason, take action, integrate with sensitive data, and can be manipulated through language alone. This episode breaks down what that means for your business, your customers, and your risk posture.

Gary and Scott guide you through the full lifecycle of securing GenAI: how these systems fail, where attackers are striking today, how enterprise architectures introduce new vulnerabilities, what frameworks (like NIST’s AI RMF) actually matter, and how leaders should build a modern defense-in-depth strategy tailored specifically for LLMs, RAG pipelines, and AI agents.

You’ll hear detailed insight into prompt injection, jailbreaks, data poisoning, insecure output handling, RAG access control, observability, vendor risk, and the organizational operating models required to govern AI safely. The episode closes with a clear 30/90/365-day executive roadmap to help any organization move from experimentation to secure, governed AI at scale.

If you’re a CIO, CISO, CTO, head of data/AI, product leader, or board member tasked with understanding the true cyber risks of GenAI, this episode is your playbook.

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, Gary and Scott explore how global telecom networks are undergoing the biggest architectural shift since the birth of the internet.

For decades, carriers have delivered connectivity as a static, reactive utility. But AI workloads are fundamentally breaking traditional network designs. Large enterprises running global inference pipelines, real-time analytics, digital twins, and distributed training now require deterministic latency, workload-aware routing, and transport layers that can predict and self-optimize in real time.

Gary and Scott explain why the next era of global connectivity will be defined by AI-native networks — intelligent, autonomous systems that continuously sense, anticipate, and orchestrate data flows based on model behavior, compute availability, energy conditions, and regulatory constraints.

They break down how this shift will transform:
• Enterprise architecture and global WAN design
• Latency-sensitive AI applications and GPU cluster connectivity
• Data governance and cross-border regulatory compliance
• The business models and competitive landscape of Tier-1 ISPs

Finally, the episode introduces a real-world blueprint of this future: the emerging partnership between Lumen, one of the world’s largest Tier-1 global networks, and Palantir, an AI-driven decision platform built for national-scale complexity. Gary and Scott explain how this collaboration hints at the telecom industry’s next decade — one where networks become intelligent participants in the AI ecosystem rather than passive transport.

If you’re a CIO, CTO, global network architect, cloud strategist, or enterprise AI leader, this is a must-listen episode that will reshape how you think about connectivity in the AI era.

This is the beginning of the intelligent network revolution — and the Macro AI Podcast will keep you up to date on the roadmap

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

n this episode of the Macro AI Podcast, Gary and Scott break down Google’s bold entry into the AI-agent space with Google Workspace Studio—a new platform designed to build intelligent agents and automated workflows directly inside Gmail, Docs, Sheets, Drive, and the broader Workspace ecosystem.

The hosts explore how Google evolved from lightweight collaboration apps to a full AI automation platform, what lessons they learned from Duet AI, and how Workspace Studio changes the game for businesses that rely on Google Workspace. Gary and Scott dive into real use cases for HR, finance, sales, marketing, and knowledge management, and they compare Workspace Studio to Microsoft Copilot Studio to help leaders understand which platform delivers the most value.

They also cover the risks, governance challenges, ethical considerations, and where AI agents are headed next—including the rise of digital coworkers with persistent memory.

If your teams live inside Google Workspace, or if you’re evaluating the future of AI-driven productivity, this episode is essential listening.

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

Smart eyewear is no longer a futuristic concept. From Ray-Ban Meta glasses to advanced AR display systems and enterprise-grade industrial eyewear, AI-powered glasses are rapidly becoming the next major computing platform. In this episode, Gary and Scott dive into how smart eyewear is transforming the way we work, communicate, navigate, and interact with the physical world.

We break down where the technology stands today, the breakthrough use cases unfolding in consumer and enterprise environments, and how AI is turning ordinary glasses into contextual, multimodal assistants that can interpret the world in real time.

Then we go deeper. CIOs, CTOs, and digital leaders will get a full technical walkthrough of how smart eyewear integrates into an enterprise tech stack — including identity, zero-trust security, backend APIs, data governance, edge vs. cloud AI, workflow orchestration, networking requirements, and build-vs-buy considerations. If your organization is planning pilots or evaluating AR/AI wearables, this segment provides the architecture-level clarity most companies are missing.

We also unpack the privacy, legal, and ethical challenges of putting a camera and an AI agent two inches from the human eye — from workplace monitoring to bystander consent to accessibility and equitable deployment.

Whether you’re a business leader exploring AI transformation, a technologist thinking about new platforms, or just curious where everyday computing is headed, this is a must-listen conversation.

Topics covered include:
• The evolution of smart eyewear and why adoption is accelerating
• Real consumer and enterprise use cases already delivering ROI
• How AI is shifting glasses from passive cameras to active “perceptual agents”
• Technical architecture for enterprise integration
• Data protection, identity, and zero-trust considerations
• Privacy, surveillance, and ethical implications
• What the next 3–7 years of wearable AI will look like

Smart eyewear isn’t a gadget — it’s the beginning of a new interface era.

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