In this episode, hosts Gary and Scott explore how artificial intelligence will transform the global workforce over the next 3, 5, 10 years, and beyond, offering actionable insights for business leaders. In the next three years, AI is poised to displace 5 million routine U.S. jobs while creating 7 million tech-driven roles, reshaping industries like manufacturing and retail through automation and augmentation. By 2030, deeper integration could see 300,000 logistics positions vanish and 50,000 legal roles decline, yet high-skill jobs may grow 35%, highlighting a polarized labor market. Looking to 2035, productivity gains might cut traditional work hours by 40%—60 million U.S. jobs’ worth—redefining work itself, with emerging roles in AI governance (up 200%) and human-centric fields enduring.

For students entering college in 2025, the hosts advise embracing interdisciplinary skills—pairing technical expertise with human insights—targeting fields like healthcare innovation, where salaries could rise 50% by 2030. Adaptability, global awareness, and practical portfolios are key to thriving in this AI-driven era. Technologically, multi-modal AI and advanced hardware will drive these shifts, enabling real-time optimization and generative design by 2035.

Leaders are urged to assess AI’s current impact, pilot high-return initiatives, and invest in reskilling, aligning technology with long-term value creation—such as sustainability efforts yielding 15% premiums. This episode blends strategic foresight, technical depth, and practical guidance, equipping listeners to navigate the AI revolution with confidence.

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/

In this episode of The Macro AI Podcast, hosts Gary and Scott dive into The Prompt Studio Edge: Winning with AI in 2025, exploring how prompt studios are revolutionizing enterprise AI. These powerful platforms help businesses create, manage, and optimize AI prompts—turning chaotic experimentation into structured, scalable success. For leaders seeking to compete globally, prompt studios offer a game-changing edge.

Gary and Scott break it down: Prompt studios like PromptLayer provide visual registries, A/B testing, and usage analytics, letting teams—from marketing to IT—craft precise AI interactions without coding. Real-world wins shine through—think Telstra slashing customer follow-ups by 20% or Coles speeding app rollouts 6x faster. Prompt studios amplify these gains, refining prompts to boost ROI in customer support, content creation, and beyond.

Technically, they’re built with Python and JavaScript, integrating seamlessly via APIs into your AI stack—pulling data from CRMs or ERPs and pushing optimized outputs. Security? Covered. With SOC 2 compliance, on-premise hosting, and real-time risk flagging, tools like PromptLayer keep sensitive data safe, meeting GDPR and HIPAA standards for regulated industries.

The hosts spotlight market leaders—PromptLayer ($50/month Pro), Helicone (free to 100,000 requests), and Langsmith—plus free starters like Prompthub. Their advice? Start small—automate a report, measure results, then scale with confidence.

Balancing business strategy and technical depth, Gary and Scott show how prompt studios deliver secure, measurable value—your ticket to leading in the AI era. Tune in for actionable insights to transform your business in 2025!

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/

In this Episode, your AI Guides Gary Sloper and Scott Bryan discuss the resurgence of Data Center Colocation powering AI environments. This change is driven by the financials of sustained, high-volume AI OPEX, where the predictable, long-term costs of owned infrastructure become more attractive, especially to the C-Suite.

Additionally, for those static AI requirements, intellectual propriety developments, security and tighter governance, enterprises have opted to add or expand their hybrid cloud model with colocation.

However, this hybrid approach doesn't represent a complete cancel of cloud GPUaaS, as many organizations maintain a strategic mix, using colocation for baseline workloads while leveraging cloud elasticity for peak demands and specialized tasks.

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/

The Macro AI Podcast: Roboforming Revolution – AI and the Future of Metal Shaping
Hosts: Gary and Scott | Date: March 21, 2025

Join Gary and Scott as they explore roboforming, an AI-powered revolution transforming metal shaping in manufacturing. This episode dives into how robotic arms, guided by AI and data, create complex metal parts without traditional dies—delivering precision, flexibility, and efficiency. From automotive prototyping to aerospace repairs, roboforming cuts costs, speeds innovation, and reduces waste, making it a game-changer for business leaders worldwide.

Discover real-world use cases: the U.S. Air Force shaping fuselage parts, luxury carmakers crafting unique panels, and construction firms building smart bridges. The hosts unpack the tech—AI feedback loops, 7-axis robots, and predictive analytics—showing how it scales from startups to global factories. Looking ahead, roboforming’s future shines bright: wider adoption by 2030, autonomous smart factories by 2035, and even lunar manufacturing by 2040.

For leaders, it’s about agility, data-driven leverage, and talent elevation. With players like https://machinalabs.ai/ (backed by Lockheed Martin and NVIDIA) leading the charge, and giants like KUKA and ABB in the mix, roboforming is redefining competition. Plus, blockchain could track parts transparently, boosting ESG narratives. Tune in for practical insights, technical depth, and a bold vision of manufacturing’s AI-driven future.

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/

Join Gary and Scott on The Macro AI Podcast for Architecting AI: Why Knowledge Management Platforms Matter. They break down Knowledge Management Platforms (KMPs)—smart hubs that turn chaotic enterprise data into organized, actionable knowledge. For leaders, KMPs cut the 20% of time workers waste searching for info (McKinsey), boosting efficiency. Zappos slashes support costs 20% with a KMP-powered chatbot, while Delta gets planes flying faster with instant maintenance logs. Scott highlights Toyota’s supply chain wins—spotting bottlenecks early, saving millions.

The duo debates build vs. buy: third-party KMPs (Bloomfire, Confluence) win with seamless integrations (Salesforce, SAP), scalability, and security (encryption, 99.99% SLAs), outpacing in-house efforts. Gary and Scott then unpack the tech: NLP with BERT models powers semantic search, knowledge graphs (Neo4j) connect data, and ML (LSTMs) keeps it fresh—all in a stack with vector databases (Pinecone) and microservices (Kubernetes) for sub-50ms latency. Capital One’s Eno chatbot (80% automation) and Siemens’ downtime cuts (15%) show it in action.

KMPs architect AI success—structuring data for faster training, linking silos for insights, and scaling globally, like Shopify’s merchant support. Gary and Scott wrap with a playbook: audit your data, pilot a KMP, and scale. Whether you’re a strategist or a techie, this episode builds the case for KMPs as your AI foundation. Subscribe for more!

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 and Scott explore the dynamic legal landscape of AI and machine learning, offering business leaders worldwide a roadmap to navigate compliance and innovation. This episode spans global regulations, U.S. federal shifts, and state-level actions—packed with practical strategies and tech insights.

Global AI Legislation:
Gary starts with the EU’s AI Act (2024-2027), a risk-based law banning mass surveillance AI while enforcing audits for high-risk systems like hiring tools—fines up to €35M or 7% of global turnover. Scott details its tech demands: SHAP for audits, LIME for transparency. The EU’s chaotic trilogue birthed a deal balancing startups like Mistral with big-tech scrutiny. China’s 2023 rules mandate ideological AI and watermarking ($14M fines), while South Korea, Switzerland, and the UAE diversify the race. Gary urges scalable governance; Scott flags audits and APIs.

U.S. Federal Government and AI:
Scott notes that there is no federal AI law—FTC’s Section 5 ($2M chatbot fine) and Title VII tackle bias instead. Gary unpacks Trump’s Jan 20, 2025, EO, axing NIST’s risk frameworks to boost dominance, tied to Project Stargate’s $500B data center push (OpenAI, xAI). Defense AI surges, but Biden’s safety EO is out. Congress stalls—NO FAKES Act passes, accountability lags. Scott warns of agency curveballs; Gary pushes self-regulation with SHAP to dodge scrutiny.

U.S. State-Level AI Developments:
Gary highlights Colorado’s 2026 AI Act ($20K fines) for high-risk AI fairness tests. Scott dives into California’s 2025 laws—SB 1047’s deepfake ban ($10M fines) uses ResNet for detection, AB 2013 demands LLM transparency. Illinois protects teachers, New York audits lending, and Massachusetts’ H. 4123 targets 10 exaFLOP giants like Colossus for safety (misinformation risks). Gary touts TensorFlow Fairness for bias sweeps; Scott stresses modular policies and Dioptra testbeds.

Gary and Scott close with a call to agility—embed compliance, leverage tech, and lead amid lawmaking chaos. Join the global conversation at macroaipodcast.com!

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/

n this Macro AI Podcast episode, hosts Gary and Scott explore why clean data is key to AI success, offering practical tips for business leaders and tech details for enthusiasts. They cover real-world examples, the cleaning process, and trends like synthetic data, equipping listeners to implement effective strategies.

Why Clean Data Matters

Clean data underpins reliable AI. Gary and Scott share examples: a retailer mismanaging inventory due to inconsistent location data, or healthcare errors from duplicate records. Dirty data—missing or inconsistent—leads to poor AI predictions and financial losses. For tech listeners, they know how it disrupts machine learning, affecting loss functions and model convergence, making quality data essential.

The Data Cleaning Process and Industry

The hosts outline a five-phase cleaning process: analyzing data, defining rules, verifying, transforming, and integrating. Big data’s volume and variety complicate this, but tools like Cleanix (parallel processing) and HoloClean (probabilistic inference) help. The data cleaning industry—engineers, scientists, and firms—is critical, with 40-50% of data budgets spent here. Leaders are urged to prioritize governance for quality.

HoloClean: http://www.holoclean.io/

Synthetic Data and Conclusion

Synthetic data is highlighted as a fix when real data is limited, like simulating sensor data for self-driving cars. The episode wraps up stressing clean data’s role in AI success, offering steps to achieve it—invest in tools, talent, and explore synthetic options—making it a must-listen for leveraging AI.

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/

Ready to supercharge your business with AI that’s smarter, faster, and grounded in your data? In this episode of The Macro AI Podcast, hosts Gary and Scott unpack Retrieval-Augmented Generation (RAG)—a game-changing approach that combines real-time data retrieval with powerful AI generation. Perfect for business leaders, this episode dives into how RAG transforms industries, from manufacturing to insurance and legal, with practical examples like slashing customer service times and speeding up claims processing by 40%.

Why does RAG outshine standalone AI models? Scott explains how it taps into your proprietary info—like a retailer’s latest HR policies—delivers up-to-date answers, and cuts through AI “hallucinations” with secure, permission-based access. Gary breaks down the tech: prepping data in vector databases, retrieving context with embeddings, and generating spot-on responses. He also shares expert tips on measuring RAG’s performance—think “faithfulness” scores and retrieval tweaks—to ensure it delivers ROI.

But it’s not all smooth sailing. Scott highlights challenges like data quality, retrieval relevance, and security, offering solutions like role-based controls and encrypted databases. Looking ahead, RAG’s future sparkles with multimodal capabilities (audio, video, images), global language support, and personalization. Ready to start? Scott’s got your back with practical steps—start small, pilot with tools like LangChain, and scale smart.

Tune in to discover how RAG can make your business AI-ready—accurate, current, and competitive. Subscribe and join Gary and Scott every episode as they guide you through the AI era!

What is RAG - Marina Danilevsky, Senior Research Scientist @IBM

https://www.youtube.com/watch?v=T-D1OfcDW1M

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/