The Analytic Mind

We’re entering a new phase of work, creativity, and experiences, and it’s moving much faster than most people realize.In this episode, we explore why experience-based events are selling out globally, how technology is amplifying demand, and what this shift tells us about the future of work. From endurance races to immersive sports broadcasts, data and real-time analytics are changing how experiences are created and shared.The conversation then moves into a deeper transformation: how AI is fundamentally reshaping knowledge work. We discuss why traditional tools like Excel and PowerPoint are rapidly losing relevance, how AI-generated analysis and presentations change productivity economics, and why full-code, AI-driven workflows are becoming the new standard.Finally, we break down what this means for data analysts, developers, and knowledge workers. Jobs aren’t disappearing, but roles are changing fast. The future belongs to those who can frame problems, guide AI systems, and build reusable workflows instead of manual outputs.If you work with data, analytics, or technology, this episode offers a clear look at what’s coming next and how to adapt before the shift becomes unavoidable.

AI tools are getting faster, cheaper, and more capable, and also more fragile and overloaded. In this conversation, we talk honestly about what it’s like to build and work on top of Gemini, Opus, Claude, Cursor, and custom skills while everything around us accelerates.We cover:Depending on the AI tools that keep timing out or routing unpredictablyA wild story of Gemini 3 decoding a 5,000-line, non-standard XML systemWhy “code is abundant,” and experimentation is now incredibly cheapData centers, Azure credits, and big tech behaving like energy companiesRobots, drones, micro-factories, and hyper-personalized physical servicesNew business opportunities in a world where platforms can copy you fastThe rise of the experience economy and the craving for real-world connectionEducation, orchestration, and becoming a full-stack human + AI builderFollow the show for more real conversations at the frontier of AI, data, and modern work, and share this episode with someone who’s trying to figure out what to build next.

AI hasn’t slowed down. It’s quietly hit another turning point.In this episode, we talk about how Google, OpenAI, and Microsoft are no longer just racing on models. They’re reshaping business models, workflows, and the tools we use every day. Gemini 3 is raising the bar, Microsoft is finally moving like an AI-first company, and OpenAI is facing serious pressure instead of cruising on first-mover advantage.But the real story is what this means for how work gets done:skills instead of brittle tools, agents instead of manual tasks, code generation instead of boilerplate, and voice as a serious interface for real products.If you’re a data professional, developer, or business owner, this conversation is about where the leverage is shifting and how to position yourself for what’s coming next.In this episode, we cover:Why Gemini 3 changes the Google vs OpenAI vs Microsoft dynamicHow big tech is moving from “AI models” to the services and compute businessClaude Skills vs MCP and why simpler skill-based workflows are winningThe future of dashboards, Power BI, and traditional reporting toolsVibe coding, code generation, and building apps faster than everVoice interfaces and new business models built on AI voice and agentsKey idea:We’re entering a phase where AI is not just more powerful. It’s changing the structure of work, the tools we use, and the opportunities available to builders and business owners.👉 Explore more training, apps, and resources:enterprisedna.co

Most people still focus on model comparisons, but the real shift is happening in the systems built around them.This conversation breaks down why systems, workflows, and skills now matter more than the model you choose, and how fast “good enough” models paired with the right structure can outperform raw power.We explore the rise of voice-first development, real-time agent workflows, Claude skills, dynamic context loading, and how modular tools are becoming a new kind of micro-software.You’ll also hear why domain expertise is still a major advantage, how content libraries can turn into personalized learning systems, and why small teams are now capable of outbuilding giants by combining smart systems with modern tools.Perfect for data professionals, builders, and business owners looking for real leverage in this new era of work.

Skills are reshaping how work gets done.Instead of re-prompting chatbots and hoping for a good result, skills let you build repeatable workflows that run the same way every time. They can call tools, run scripts, generate reports, and handle tasks that used to require teams.In this conversation, we break down what skills really are, why they matter, and how they turn chatbots into reliable digital workers. We explore how modular systems create consistency, why simple interfaces outperform complex software, and how small teams can now operate with enterprise-level leverage.What you’ll learn:How modular skills replace constant re-promptingHow progressive disclosure keeps context cleanWhy system design is becoming more important than tool choiceWhere small teams can gain massive leverageThe future of running workflows that manage themselvesThis episode is for builders, operators, and business owners who want to scale smarter in the new world of automation.Explore more at enterprisedna.co