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

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 to targeted laws on deepfakes, hiring algorithms, mental-health chatbots, and digital replicas. They also explore how regulators are using existing consumer-protection laws to police AI even in states without formal AI acts.

Listeners will hear why 2025 has become a turning point in AI governance, how the federal government’s attempted preemption triggered a tug-of-war with state attorneys general, and what common themes are emerging across the country.

Most importantly, Scott and Gary translate the entire mess into a clear, practical playbook for executives. They explain how to build an AI inventory, assess high-risk systems, align to the strictest state standards, tighten vendor governance, and prepare for inquiries from regulators — all without slowing down innovation.

Whether you’re a CEO, CIO, or someone building AI into your products, this episode will help you understand the new regulatory reality and how to thrive in it.

Perfect for:
Business leaders, AI COEs, CTOs, product teams, compliance professionals, and anyone deploying AI across multiple U.S. states.

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, 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 Tsinghua/Carnegie Mellon University lineage that positions Moonshot among the world’s most elite AI labs.

They compare K2 to OpenAI, Anthropic, DeepSeek, and Qwen, explain the significance of its open-weights release, and analyze what this means for Western enterprises, policymakers, and the broader U.S.–China AI competition.

A must-listen for anyone tracking the global AI race, national competitiveness, or enterprise-grade LLM deployment strategies.

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

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 talent from OpenAI, DeepMind, and Meta
• The meaning of “AI for the physical economy,” explained in simple terms
• How Bezos and co-leader Vik Bajaj are positioning this as a multi-decade moonshot
• The emerging shift from digital AI to AI that designs, builds, and optimizes physical systems
• Potential applications: factories that self-optimize, AI-designed materials, robotic labs, new aerospace components, and more
• The profound implications for business leaders across manufacturing, engineering, logistics, and operations
• The risks, unknowns, and why Prometheus could reshape competitive advantage for entire industries

This is one of the clearest signals yet that AI is moving beyond screens and into the world of atoms. If you’re a CIO, COO, CTO, or executive responsible for operations or innovation, this episode will give you a front-row view into the next wave of AI transformation — and what you should be watching now.

Listen in and learn why the future of AI won’t just be about thinking… it’ll be about building.

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 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
• Real-world classroom examples across English, math, science, history, and languages
• How parents can support responsible AI use at home
• A practical 90-day action plan for school leaders

If you’re a parent, teacher, principal, or district leader wondering how to navigate AI in education, this episode gives you a clear, practical 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

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 Google the quiet giant of AI. The conversation then turns to Apple’s strategy — speed, scale, and privacy — and what this partnership means for the future of AI ecosystems.

Apple AI partnership, Google Gemini, Siri upgrade, DeepMind, Transformer architecture, Google Research 2017, TPU Trillium, word2vec, Google Brain, Jeff Dean, Demis Hassabis, Macro AI Podcast

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 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 trustworthy at scale.

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