The AI Bubble Myth Explained

AI voice is here: live translation, agent-to-agent booking, and call transcripts you can analyze instantly. We share concrete use cases, the MCP tool layer, and how teams turn conversations into first-party data that drives ops and growth.

Is AI really in a bubble, or are the headlines missing the truth?In this episode, we unpack why the so-called “AI bubble” doesn’t match reality. Innovation is still accelerating, usage keeps climbing, and compute capacity, not demand, is the real bottleneck.You’ll hear comparisons of GPT-5 Thinking, Claude, Cursor, and OpenRouter in real workflows, a look at how dynamic artifacts are replacing static dashboards, and why validation loops are making AI insights more reliable.We also cover the explosion of data center investment, real security risks in the agent era, and how big platforms are turning AI into ecosystems that monetize far beyond chat.Subscribe to The Analytic Mind to stay ahead in data and AI.

The generative economy is taking shape, but what does it actually mean for business, education, and everyday life? In this episode, we break down how AI-driven creation is changing the rules: lowering software costs, shifting how we learn, and even redefining what work looks like.From token costs to vibe coding, from the future of universities to the rise of agents, this conversation explores how the generative economy will impact us all. Listen in and get ahead of the curve on one of the biggest transformations of our time.

GPT-5 is out, but is it really a game-changer? In this episode, we unpack what’s new, what’s different from GPT-4, and why the launch has stirred so much debate. From model personalities to multi-model workflows, we explore what these changes mean for developers, businesses, and everyday users.Listen in to find out if GPT-5 is hype or the next big step forward.

Self-service BI promised to democratize data, but did it ever truly deliver?In this episode, we explore what self-service business intelligence could have been, why it struggled, and where it might actually work today. From the early days of Power BI as a "souped-up spreadsheet" to the rise of agents, context engineering, and lightweight tools, we unpack the real reasons behind BI’s evolution and where it’s heading next.This is for analysts, builders, and data professionals asking: what’s the real path forward for empowered decision-making?

New tools. New workflows. No clear map.This episode explores how we’re building faster than ever but often without knowing exactly where we’re headed. We talk about why tools now feel like teammates, how search and content systems are breaking down, and why building still matters in the middle of all the noise.If your work feels different lately, this will explain why.

AI is advancing at lightning speed from agents that automate workflows to LLMs orchestrating complex tasks. But here's the truth: despite the hype around AGI and automation, humans are still at the center of it all.In this episode, we break down what’s real and what’s exaggerated about AI today. We talk about energy limits, orchestration, memory tools, Microsoft's strategy with Power BI and Azure, and what it actually means to work with AI—not against it.Whether you're a developer, analyst, or builder, one thing is clear: AI doesn't replace you. It multiplies what you can do.👉 Topics Covered:Why energy is the real bottleneck to AI progressHow LLMs need human orchestration to be usefulWhat makes Microsoft’s data platform unstoppableWhy Power BI, Excel & agents are transforming workThe real conversation around AGI and compute limits

Discover how AI is transforming data analysis and app development by making complex tasks faster, smarter, and more accessible. This video explores the rapid advancements in AI tools that reduce the need for coding, automate database management, and enable dynamic data insights from multiple sources.Learn why traditional data warehouses might become obsolete as AI connects directly to diverse datasets, and how AI agents are reshaping roles in the software and data industries. Whether you’re a developer, analyst, or business leader, understanding these changes is crucial to staying ahead.

Power BI changed the game when it launched, offering powerful analytics at a fraction of the cost of competitors like Tableau.But as AI transforms how we work with data, are the foundations of Power BI built for what’s coming next?In this episode, we look back at the early days of PowerPivot, the real reasons Power BI won over the market, and whether it's evolving fast enough to stay relevant in a modular, API-driven, AI-first world.Topics we cover:Why Power BI really overtook TableauThe disconnect between innovation and adoptionHow AI is changing expectations for BI toolsWhat data professionals should prepare for next

In this episode, we explore how AI agents combined with Model-Driven Code Platforms (MCP) are transforming enterprise software. Learn how businesses are building custom ERP and CRM solutions faster and more cost-effectively than ever before, moving away from traditional legacy systems.Discover the power of AI-driven automation and low-code development in boosting productivity and driving innovation in enterprise operations. Tune in to understand why the future of business software is intelligent, flexible, and accessible.What You Will Learn:How AI agents and MCP are disrupting traditional enterprise softwareThe benefits of low-code and AI-driven custom ERP and CRM solutionsWays these technologies reduce costs and accelerate developmentHow intelligent automation is transforming business productivityWhy the future of enterprise software lies in flexibility and innovation