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 bu...

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 en...

In this episode of the Macro AI Podcast, Gary and Scott break down one of the most important — and least understood — topics in American AI policy today: the rise of state-level AI laws. With all 50 states now proposing or enacting AI-related legislation, businesses are no longer navigating a single regulatory landscape — they’re operating inside a growing patchwork. Gary and Scott unpack the three big buckets of state AI rules, from comprehensive frameworks in Utah, Colorado, and Texas...

In this episode, the Macro AI Podcast research agents run the show since Gary and Scott are on vacation for the Thanksgiving holiday. They took recent feedback from our listeners and opted to break down one of the most important developments in global AI: China’s frontier-level model Kimi K2 from Moonshot AI. The Macro AI Podcast research agents explore the model’s architecture, benchmark performance, agentic capabilities, and the surprising academic pedigree of its founders — a Tsinghu...

Jeff Bezos is officially back in an operational role — and he’s betting billions on a new AI venture called Project Prometheus. But this isn’t another chatbot startup. This is AI aimed squarely at the physical economy: manufacturing, materials, engineering, aerospace, supply chain, and the real-world systems that make global industries run. In this episode, Gary and Scott break down: • What Project Prometheus is — and what we actually know so far • Why it’s attracting elite ...

In this episode, Gary and Scott tackle one of the most requested topics from our listeners — what high schools should be doing to prepare students for an AI-powered world. Instead of banning AI or pretending students aren’t using it, we explore how schools can embrace AI responsibly, ethically, and effectively. We break down: Why AI literacy is now a foundational skill How schools can shift from fear to structure The four-tier AI policy every school should adopt Rea...

Episode Description (130 words): In this episode of The Macro AI Podcast, Gary and Scott unpack why Apple chose Google’s Gemini to power the next-generation Siri — and why the move makes perfect sense when viewed through history. The hosts trace Google’s 20-year journey in artificial intelligence: from Google Brain’s “cat-video” experiment to DeepMind’s AlphaGo and the 2017 Transformer breakthrough by Google Research. They spotlight the engineers, hardware, and research culture that made Goo...

In this episode of The Macro AI Podcast, Gary and Scott dig into one of the biggest challenges emerging in enterprise AI: securing autonomous agents. As businesses deploy systems that can reason and act independently, a new class of risks emerges — from prompt injection and memory poisoning to identity confusion and tool abuse. The hosts explain why the old cybersecurity playbook no longer works, what “intent security” really means, and how identity-bound autonomy can make AI systems trustwor...

In this episode of The Macro AI Podcast, Gary and Scott take a deep dive into Palantir Technologies — the company quietly transforming how organizations use artificial intelligence to make real-world decisions. They explain what Palantir actually is (and isn’t), how its four platforms — Gotham, Foundry, Apollo, and AIP — work together to fuse data, decisions, and actions, and why its ontology-driven architecture has become the blueprint for operational AI at scale. The conversatio...

Gary and Scott break down Walmart’s groundbreaking partnership with OpenAI — a move that officially launches “AI-first shopping experiences” inside ChatGPT. This is more than a new shopping feature; it’s the dawn of agentic commerce — where AI agents understand intent, plan purchases, and execute transactions autonomously. Listeners will learn how Walmart is leveraging this partnership to expand its digital reach, strengthen its retail-media flywheel, and transform from a traditional re...

In this episode of The Macro AI Podcast, Gary and Scott dive deep into the emerging concept of Data Commons — shared, governed ecosystems that make data interoperable, trusted, and ready for AI. They explain what a Data Commons is, how it differs from traditional data lakes, and why it’s essential to the next phase of AI transformation. From Google’s global Data Commons and the NIH’s biomedical repositories to emerging “Private Data Commons” inside enterprises, the hosts show how these ...

In this episode, Gary and Scott unpack one of the most critical questions for business leaders today: Is AI actually disrupting the labor market—or are we still waiting for impact to show up in the data? They dive deep into Yale University’s Budget Lab study, “Evaluating the Impact of AI on the Labor Market: Current State of Affairs” (October 2025), which concludes that there has been no discernible economy-wide labor disruption since the launch of ChatGPT in late 2022. Using decades of...

Artificial Intelligence is moving fast—but privacy risks are moving just as quickly. In this episode of the Macro AI Podcast, Gary and Scott break down a role that’s quickly becoming indispensable: the Privacy Engineer for AI. So what exactly is a privacy engineer? They’re the bridge between regulators and technologists. Their mission is to embed privacy by design into AI systems, turning complex laws like GDPR, HIPAA, California’s CPRA, and the EU AI Act into concrete technical safegua...

Welcome to the Macro AI Podcast with Gary and Scott. In this episode, we dive into one of the newest and most important concepts hitting boardrooms and executive teams: AI Workslop. AI Workslop describes polished, AI-generated work that looks good on the surface but lacks the substance, accuracy, or context to drive real decisions. It’s the long memo with no action, the glossy slide deck without insight, the email that shifts the burden onto the reader. And it’s not just annoying — it’s...

n this episode of The Macro AI Podcast, Gary and Scott sit down with Michael Reid, CEO of Megaport, to explore how network-as-a-service is reshaping the way enterprises connect to the cloud, scale their infrastructure, and prepare for an AI-driven future. Michael shares his perspective on why agility and flexibility in connectivity are now strategic imperatives for CIOs, CTOs, and CFOs—and how Megaport is positioning itself at the heart of this transformation. We discuss the company’s r...

Customer Experience (CX) is undergoing the biggest transformation in decades, powered by AI and accelerated by the shift to Contact Center as a Service (CCaaS). In this episode of The Macro AI Podcast, Gary and Scott break down where CCaaS is today, how AI is reshaping the landscape, and what business leaders need to do to prepare for the next ten years. We start with the basics: what CCaaS actually is, why it matters, and who the leading players are — from established platforms like Fi...

In this episode of The MacroAI Podcast, Gary and Scott take a deep dive into one of the most overlooked yet mission-critical concepts in artificial intelligence: robustness. What does it mean for an AI system to be robust? In simple terms, it’s the ability to keep performing under stress — when the data is messy, unexpected, or even deliberately manipulated. Without robustness, AI that looks flawless in a demo can fail spectacularly in production, creating business risks instead of busi...

In this episode of The MacroAI Podcast, Gary and Scott take a deep dive into one of the most overlooked yet mission-critical concepts in artificial intelligence: robustness. What does it mean for an AI system to be robust? In simple terms, it’s the ability to keep performing under stress — when the data is messy, unexpected, or even deliberately manipulated. Without robustness, AI that looks flawless in a demo can fail spectacularly in production, creating business risks instead of busi...

Gary and Scott sat down with Sarah Craynon Zumbrum, Sr. Manager of Cloud Engineering with Oracle to discuss AI, careers and much more. She’s also a Gen AI Board member at Webber International University offering expert guidance to the faculty and students. Sarah's a wealth of knowledge as her team are on the forefront of AI as part of Oracle, one of the best tech companies in the world. Sarah provides excellent insight into how organizations can begin their AI journey break...

The Macro AI Podcast Episode: America’s AI Action Plan – A Summary In this episode of The Macro AI Podcast, hosts Gary and Scott dive into America’s AI Action Plan, a July 2025 White House roadmap to secure U.S. leadership in the global AI race. This 28-page document outlines three pillars—Accelerating AI Innovation, Building AI Infrastructure, and Leading International AI Diplomacy—to drive economic growth, national security, and technological dominance. Segment 1: Why It Matters...