The AI Storm Podcast

About The AI Storm Podcast

The AI Storm Podcast explores how artificial intelligence is reshaping the way we think, work, and create. Hosted by Krishna Goli, a technology leader and storyteller, each episode takes you inside the eye of the storm — uncovering the calm truths hidden beneath the chaos of rapid innovation. In under ten minutes, discover fresh perspectives on agentic AI, prompt engineering, automation, and the human side of technology — all in a reflective, cinematic format designed for thinkers, builders, and dreamers navigating the age of intelligent tools. 🎧 New episodes every week. Calm your mind. Le

Publisher

Krishna Goli

Category

technology

Language

en

Explicit

No

First episode

23 Nov 2025

Latest episode

3 Jun 2026

Latest episodes

13 episodes in the feed.

1. 

   3 Jun 2026

   S2 E3 IP, Ownership & Leadership in the Age of AI and Automation

   Ever wondered who really owns what AI creates? 🤔 This question is shaking up startups everywhere! Tag someone who needs to know about AI and IP! As AI continues to advance, many are building brands and products without understanding the legal implications. A friend of mine recently faced a shocking reality: after investing thousands into a new product line created with AI, her lawyer asked, "Do you actually own any of this?" It’s a crucial question that many founders overlook. Ownership and intellectual property (IP) laws were built around human creation, and with AI generating work, the lines are becoming blurred. If you think paying for AI services means you own the output, think again. AI cannot hold ownership, and the legal landscape is still catching up. If you’re using AI in your business, it’s time to educate yourself on the implications. Your brand’s future might depend on it! Let’s talk about it! 🤝 Our guest Nancy Steidl explores the crucial topic on The AI Storm. Nancy Steidl MBA, M.D in Law International Business Consultant and Intellectual Property Law Specialist in AI and Robots | Business Author | Speaker Visit Nancy on her social media platforms at https://linktr.ee/thebusinessmission.com (https://linktr.ee/thebusinessmission.com)

2. 

   26 Jan 2026

   AI and the Role of Engineering Judgement

   AI is reshaping how systems are built — but it’s also reshaping how decisions are made. In Episode 2 of Season 2 of The AI Storm Podcast, we explore a deeper and often overlooked question: What is the role of engineering judgement in an AI-driven world? This episode is a reflective conversation between two engineering leaders, focusing on: How engineering leadership has evolved as systems become more complex Why speed without clarity often creates long-term drag The difference between heroic recovery and real system health When leaders should pause and reframe — and when momentum truly matters Why AI amplifies engineering judgement rather than replacing it If the first episode of this season explored AI as a leadership challenge, this conversation examines how engineering judgement is formed, tested, and exercised under pressure — especially in environments where systems are probabilistic and outcomes are uncertain. 🎙️ The AI Storm Podcast Season 2 · Episode 2

3. 

   18 Jan 2026

   S2 E1 - AI Hype vs Reality - Conversation with a CEO

   AI is no longer just a technology trend — it’s a leadership challenge. In the opening episode of Season 2 of AI Storm, we move beyond hype and experimentation to explore what AI really changes when leaders are accountable for outcomes. This episode looks at AI through a CEO’s perspective, focusing on: Why many AI initiatives struggle beyond proof-of-concepts What organisations truly mean when they ask for “AI” How accountability and decision-making shift in AI-augmented organisations Why leadership judgement matters more than tools This is not a discussion about models or platforms. It’s a conversation about responsibility, trust, and delivery in the age of AI. If you’re a CEO, CIO, CTO, or senior leader navigating AI adoption, this episode will challenge how you think about success. 🎙️ AI Storm — where AI meets leadership reality.

4. 

   31 Dec 2025

   Episode 10 — The Human Element: Job Security, AI & Jevons Paradox

   Season 1 Finale AI isn’t coming. It’s already here. In this season finale of The AI Storm, we step away from theory and research — and speak from lived experience. From building AI POCs inside a global enterprise… To launching an AI startup without a large team… To navigating fear, trust, security, job anxiety, and speed-to-market pressures… This episode is about what really happens when AI meets real organisations and real people. You’ll hear: Why speed-to-market is no longer about team size or funding How AI reshapes cognitive load — not just productivity Why job fears increase even as opportunity expands (Jevons Paradox) What leaders get wrong about readiness, trust, and control How one POC changed the way Krishna thought about building products forever This is not a prediction episode. This is a reflection episode. And it closes Season 1 of The AI Storm — before we move into a new chapter of video conversations and interviews. 🎙️ Listen now. 🌩️ Stay thoughtful. Stay curious. Stay ahead of the storm.

5. 

   29 Dec 2025

   AI Reasoning: Who Decides, When to Trust, and Where Humans Must Stay in Control

   AI can decide faster than humans.But it cannot decide responsibly.In this episode of The AI Storm, we explore the most critical question facing leaders as AI systems become more autonomous:👉 Who should decide — the machine or the human?As organizations move into 2026, AI reasoning is no longer experimental. Systems are already making decisions across logistics, cybersecurity, finance, and operations. But not every decision should be automated.In this episode, we cover: What “AI reasoning” really means (and what it doesn’t) Where AI decisions outperform humans Where human authority must always remain Why leadership is shifting from managing people to orchestrating intelligence A simple decision framework every executive should use before trusting AI autonomy This isn’t a technical conversation.It’s a leadership one.🎧 Listen now and stay ahead of the storm.

6. 

   19 Dec 2025

   The AI Automation Gap: Why Enterprise AI Breaks After the Demo

   Why Enterprise AI Breaks After the Demo AI rarely fails because the technology is weak. It fails because it’s deployed inside workflows that were never designed for intelligence. In this episode of The AI Storm, we explore The Automation Gap — the space where AI pilots succeed, demos impress, and real-world execution quietly breaks down. You’ll learn: Why automating broken workflows amplifies chaos instead of fixing it How poor data quality, missing context, and fragile integrations cause AI to fail silently The difference between human-in-the-loop and human-on-the-loop — and why leaders must design for both Why most AI failures are operational and leadership problems, not model problems The four workflow design questions every executive must answer before scaling AI This episode isn’t about better models. It’s about better workflow design. If AI in your organisation “works… but only sometimes,” this episode will help you understand why — and what to redesign next.

7. 

   16 Dec 2025

   AI on the Edge: Why Smaller Models Win on Cost and Speed

   🎧 Episode 7 — AI on the Edge: Why Smaller Models Win on Cost and Speed For the last few years, the AI conversation has been dominated by scale. Bigger models. Bigger budgets. Bigger infrastructure. But quietly, a different story is unfolding. In this episode of The AI Storm, we explore why smaller, faster, edge-deployed AI models are increasingly outperforming large, centralized systems—on cost, speed, reliability, and control. This isn’t a technical deep dive. It’s a leadership conversation. You’ll learn: Why many real-world AI use cases don’t need massive models How edge and smaller models are being used in retail, manufacturing, security, and operations What “training,” “fine-tuning,” and “retraining” actually mean in practical business terms Whether companies should buy off-the-shelf models or invest in building their own The new roles and skills emerging around edge AI and model operations How leaders should think about ROI, governance, and long-term sustainability This episode is about designing intelligence for reality, not for demos. If you lead teams, build platforms, or make decisions about AI strategy, this conversation will help you rethink where intelligence should live—and why smaller may be smarter. 🎙️ Hosted by Krishna Goli 🌩️ Finding direction and decisiveness in the storm of AI

8. 

   12 Dec 2025

   Essential AI for the Modern Leader

   AI is no longer a technology decision. It’s a leadership behaviour. In this episode of The AI Storm, let us understand what executives, founders, and senior leaders actually need to know about AI in 2025 — beyond the hype, beyond pilots, and beyond experimentation. You’ll learn: Why most AI initiatives never escape “pilot purgatory” How leading organisations measure real AI value (not vanity metrics) The executive behaviours that separate AI leaders from AI experimenters A practical 30-day action plan to move from trials to impact This is not a technical deep dive. It’s a leadership playbook. If you’re responsible for strategy, teams, or outcomes — this episode is for you. 🎧 Next episode: Why Smaller AI Models Are Winning on Cost, Speed, and Scale

9. 

   9 Dec 2025

   AI in the Real World: How Every Industry Is Changing (2025)

   AI is no longer a future trend — it’s already reshaping daily work in every sector. In this episode, Krishna explores how AI is transforming healthcare, finance, retail, education, and personal productivity in 2025. No hype. No predictions. Just real-world patterns showing how organisations are quietly rebuilding their operating models with AI at the centre. You’ll learn why some teams are accelerating exponentially while others fall behind… the traps companies keep falling into… and the leadership mindset required to stay ahead. In this episode: The “Great Split” between AI-powered vs AI-limited teams Real transformations across healthcare, finance, retail, and education The rise of AI as a personal operating system Why small, specialised models often outperform general ones The biggest traps organisations face (and how to avoid them) Your one-week action plan to upgrade a real workflow Teaser: Episode 6 — The Executive AI Toolkit This episode is a practical guide to understanding what’s actually working today — and how to prepare your team for what’s coming next. Stay thoughtful. Stay curious. Stay ahead of the storm.

10. 

    7 Dec 2025

    Context Engineering: The Intelligence Behind Intelligence

    In this episode of The AI Storm, we explore one of the most important shifts in modern AI: the move from prompt engineering to context engineering — the discipline that transforms AI from a reactive tool into a proactive, context-aware teammate. You’ll learn: What context engineering truly is How it differs from traditional prompt engineering Why it's essential for reliability, clarity, and cost-efficiency How context shapes reasoning, planning, and action A simple framework you can use to build your own context-aware workflows The leadership imperative for this new era of AI collaboration This is a short, cinematic episode designed to elevate your understanding — and your practice — of AI in under 10 minutes. Strategic Imperative: Choose one weekly workflow and rebuild it using context engineering. See how it changes not just the output… but the relationship. Next episode: a descent into the emerging world of multi-agent systems.

11. 

    30 Nov 2025

    Agentic AI Explained: AI That Plans, Acts, and Learns

    What happens when AI stops waiting for instructions… and starts pursuing your goals? In this episode of The AI Storm Podcast, Krishna Goli explores the rise of Agentic AI — systems that can plan, act, reflect, and collaborate with minimal supervision. From autonomous debugging to multi-agent teams that produce full strategic documents, this episode dives deep into the moment where AI shifts from answering to accomplishing. You’ll hear real stories of agents solving problems end-to-end, understand the architecture behind their reasoning loops, and learn the practical challenges — cost, brittleness, looping, and the gap between what you say and what the agent interprets. We also look at everyday-life examples: Agents fixing broken flows while you’re in a meeting Tools like Devin, OpenDevin, LangGraph, AutoGen, and CrewAI already working in the real world Personal agents reshaping your schedule, drafting emails, and preparing talking points Small-business automations running customer workflows end-to-end In this episode, you’ll discover: What makes an AI system truly “agentic” How agents reason using observe–plan–act–reflect loops Real examples from engineering, research, productivity, and small businesses Why autonomy introduces risk — and how to manage it What happens when multiple agents collaborate How leaders should prepare for the age of autonomous workflows Try this tonight: Pick one workflow you repeat each week — weekly reports, lead qualification, or bug triage — and run it with an AI agent for two weeks. If you’re technical, try LangGraph or CrewAI; if not, start with the agent features inside your CRM or helpdesk. After a week, ask: Where did it save you time? Where did it surprise you? Where did it make you nervous? Agentic AI isn’t the future of automation. It’s the future of collaboration.

12. 

    27 Nov 2025

    Mastering Prompt Engineering — The Art of Clear Thinking in the Age of AI

    In this episode of The AI Storm Podcast, Krishna explores the deeper truth behind prompt engineering — not as a technical trick, but as a reflection of how we think, clarify, and communicate in an AI-powered world. Instead of rushing through instructions, we examine how intention, precision, and context shape the intelligence we receive back. Krishna breaks down why words like “exact,” “step-by-step,” and “concise” act as lenses that sharpen AI responses, and why the most powerful prompts begin with clarity, not complexity. You’ll learn how to guide AI with purpose, how context transforms generic answers into personalised insights, and why prompt engineering is ultimately a practice of clearer thinking — not clever phrasing. In this episode:• Why AI reflects intention more than instruction• The hidden influence of precision words• How context shapes deeper AI collaboration• The mindset shift from “AI working for you” to “AI working with you”• A simple practice to improve every conversation with AI Next episode: Agentic AI — The Dawn of Autonomous Systems. Stay curious, stay calm, and stay in the eye of the storm. 🌪️

13. 

    23 Nov 2025

    Storm Surge: Copilot vs ChatGPT vs Claude

    In the first episode of The AI Storm Podcast, Krishna Goli steps into the eye of the AI revolution — exploring the three most influential AI assistants shaping modern work: Microsoft Copilot, ChatGPT, and Claude. This episode cuts through the noise and compares these systems not as tools, but as personalities of intelligence: Copilot — the structured corporate strategist ChatGPT — the creative conversationalist Claude — the thoughtful, ethical analyst In under ten minutes, discover how each reflects a different way of thinking and how choosing the right AI companion can shape your clarity, creativity, and productivity. Coming up next: Mastering Prompt Engineering — the invisible skill that powers the AI age. 🎙 Hosted by Krishna Goli🔗 Follow for weekly episodes🌪️ Clarity through the storm

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