The Macro AI Podcast

The AI Guides - Gary Sloper & Scott Bryan
  • 5.0 (2)
  • TECHNOLOGY

Welcome to "The Macro AI Podcast" - we are your guides through the transformative world of artificial intelligence.     In each episode - we'll explore how AI is reshaping the business landscape, from startups to Fortune 500 companies. Whether you're a seasoned executive, an entrepreneur, or just curious about how AI can supercharge your business, you'll discover actionable insights, hear from industry pioneers, service providers, and learn practical strategies to stay ahead of the curve.  

  1. AI Protocols for Retail: How UCP and ACP Will Redefine Agent-Driven Commerce

    9H AGO

    AI Protocols for Retail: How UCP and ACP Will Redefine Agent-Driven Commerce

    AI agents are rapidly moving beyond recommendations and into real retail transactions, and a new layer of infrastructure is emerging to make that possible: AI commerce protocols.  In this episode of the Macro AI Podcast, Gary Sloper and Scott Bryan deliver a deep, authoritative discussion on AI protocols for retail, focusing on two of the most important early standards shaping agent-driven commerce today: Universal Commerce Protocol (UCP) and Agentic Commerce Protocol (ACP).  The episode begins with the origin of UCP and ACP, explaining why these AI commerce protocols were created, who is driving them, and how they reflect two different approaches to enabling AI-powered retail transactions. Gary and Scott then break down how UCP and ACP work technically, translating complex protocol concepts into clear explanations for business and technology leaders.  Listeners will learn how UCP standardizes commerce capabilities across retailers, enabling AI agents to discover products, manage carts, initiate checkout, and handle post-purchase workflows, while ACP focuses on structured, conversational, agent-led buying experiences designed for AI assistants operating in real time.  Beyond the technology, the discussion explores what AI protocols mean for retail leaders, including:  How AI agents may reshape digital commerce architecture Why data quality, pricing logic, and fulfillment accuracy are becoming critical competitive advantages What agent-first commerce means for brand control, customer experience, and retail strategy Why UCP and ACP represent early-stage infrastructure, not finished standards The hosts emphasize that AI commerce protocols are still in their early stages, and no one yet knows which standards will dominate or how they will evolve. However, understanding UCP, ACP, and the broader shift toward agentic commerce is becoming essential for CIOs, CTOs, CFOs, and retail executives planning for the future of AI-driven retail.  This episode is designed for leaders who want to move beyond hype and gain practical insight into how AI protocols could redefine retail commerce over the next several years.  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

    14 min
  2. Energy and the AI Race: Why Power Is the Real Bottleneck for Artificial IntelligenceShape

    FEB 9

    Energy and the AI Race: Why Power Is the Real Bottleneck for Artificial IntelligenceShape

    AI isn’t limited by models, talent, or capital — it’s limited by electricity.  In this episode of the Macro AI Podcast, Gary Sloper and Scott Bryan break down the energy reality behind artificial intelligence, from individual AI usage to hyperscalers and national infrastructure strategy. They explain where AI actually consumes power, why your laptop is just the remote control, and how every prompt to a large language model triggers real energy use inside GPU-powered data centers.  The conversation scales from home offices to enterprises, introducing the concept of the “shadow data center” — the hidden energy footprint organizations incur when using AI through SaaS platforms and APIs. Even without owning infrastructure, businesses are consuming significant AI-driven electricity at scale.  Gary and Scott then examine how many gigawatts of new data center capacity are being planned in the U.S. and globally, why grid timelines are becoming the true bottleneck for AI growth, and how energy availability is reshaping competition between the United States and China.  Bottom line: AI strategy without energy awareness is incomplete. The future of AI will be written in code — but powered by electrons.  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

    30 min
  3. Model Context Protocol (MCP) Explained: The Economics of Scaling Enterprise AI Without Exploding Costs

    JAN 30

    Model Context Protocol (MCP) Explained: The Economics of Scaling Enterprise AI Without Exploding Costs

    In this episode of The Macro AI Podcast, Gary Sloper and Scott Bryan revisit the Model Context Protocol (MCP)—a topic that continues to generate strong listener interest and real-world enterprise questions.  As organizations move beyond AI pilots and demos, many are discovering that AI isn’t failing because of the models—it’s failing because of integration, governance, and cost. This episode explores why enterprise AI so often hits scaling walls and how MCP is emerging as a critical piece of infrastructure to remove them.  The conversation breaks down MCP at a practical, executive level—explaining how it standardizes the way AI systems discover, understand, and safely interact with enterprise tools and data. Gary and Scott walk through why traditional API-based integrations struggle in AI-driven environments, how MCP changes the N-by-M integration problem, and why this matters for CIOs, CFOs, and CEOs planning long-term AI strategies.  A major focus of the episode is AI economics, including a deep dive into token costs—one of the most misunderstood and underestimated drivers of enterprise AI spend. Using clear, real-world examples, the discussion shows how MCP can dramatically reduce token usage, improve performance, and turn unpredictable inference costs into a controllable operating expense.  The episode also covers:  Why MCP fundamentally changes the economics of scaling enterprise AI How token efficiency directly impacts ROI, latency, and adoption The infrastructure and total cost of ownership tradeoffs leaders need to understand Governance risks, including the rise of “shadow MCP,” and why centralized oversight matters How MCP complements—not replaces—RAG in modern enterprise AI architectures Bottom line: MCP is not a feature or a framework—it’s becoming core infrastructure for serious enterprise AI. If you’re responsible for AI strategy, governance, or budgets, this episode explains why MCP belongs on your radar now.  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

    18 min
  4. AWS Trainium vs Nvidia: How AWS Is Redesigning the Economics of AI for Business Leaders

    JAN 26

    AWS Trainium vs Nvidia: How AWS Is Redesigning the Economics of AI for Business Leaders

    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

    13 min
  5. ChatGPT Health: Why it is a Turning Point for Healthcare—and Every Regulated Industry

    JAN 21

    ChatGPT Health: Why it is a Turning Point for Healthcare—and Every Regulated Industry

    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

    15 min
  6. AI and Jobs in 2026: Vanguard’s Job Growth Paradox, the IMF Warning, and What Business Leaders Must Do Now Shape

    JAN 15

    AI and Jobs in 2026: Vanguard’s Job Growth Paradox, the IMF Warning, and What Business Leaders Must Do Now Shape

    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

    20 min
  7. What Is the U.S. Tech Force? How the Federal Government Is Building an AI Workforce

    12/22/2025

    What Is the U.S. Tech Force? How the Federal Government Is Building an AI Workforce

    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

    16 min
  8. Cyber Defense for Generative AI

    12/19/2025

    Cyber Defense for Generative AI

    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

    31 min
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Ratings & Reviews

5
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About

Welcome to "The Macro AI Podcast" - we are your guides through the transformative world of artificial intelligence.     In each episode - we'll explore how AI is reshaping the business landscape, from startups to Fortune 500 companies. Whether you're a seasoned executive, an entrepreneur, or just curious about how AI can supercharge your business, you'll discover actionable insights, hear from industry pioneers, service providers, and learn practical strategies to stay ahead of the curve.  

Information

  • Creator
    The AI Guides - Gary Sloper & Scott Bryan
  • Years Active
    2025 - 2026
  • Episodes
    67
  • Rating
    Clean
  • Copyright
    © 2026 The Macro AI Podcast
  • Show Website
    The Macro AI Podcast