Impact of AI:Explored

Welcome to Impact of AI:Explored this is a podcast series hosted James O'Regan and Gerjon Kunst. This podcast series is an initiative by and for the developer and IT professional community. It is our goal to empower each and every one to learn and share all there is to know about Artificial Intelligence and how it affects our day to day lives as IT professionals. There is a huge quantity of valuable AI related information in various formats available and it keeps increasing on a daily basis. It is our objective to help people to make sense of all this information.

Impact of AI:Explored is a technology podcast hosted by James O'Regan and Gerjon Kunst, with 49 episodes on record and a Required Pod Score of 80. PitchCentric scores this show on Booking Probability, Listen Score, and live audience signals refreshed every 24 hours.

James O'Regan and Gerjon Kunst hosts Impact of AI:Explored, a technology show with 49 episodes published.

Our AI reads these to draft pitches. Use them as grounding for a pitch that cites a real guest and a specific topic.

• 

  Episode #49

  EP49 - Local AI, Invisible Intelligence Who Really Controls the Model

  Sep 8, 202646 minS3

  In this episode we sit down with Lee Crossley - Consultant CTO | Overshow Co-Founder (https://www.linkedin.com/in/leecrossley/). Lee shares insights on the future of local AI models, their applications, and the evolving landscape of AI technology, emphasizing the importance of local models for privacy, security, and efficiency. Key topics * The evolution of local AI models and their applications * The importance of model routing and hybrid AI strategies * The role of hardware and device capabilities in AI deployment * Industry trends and the impact of major players like Apple, Google, and Microsoft * Security, privacy, and compliance considerations in local AI Links & resources mentioned Ollama – run local LLMs on your machine – https://ollama.com Google Gemma – open-weight models for local use – https://ai.google.dev/gemma Perplexity – hybrid/local model routing with PII handling – https://www.perplexity.ai/hub/products/portable-computer Anthropic Claude & Claude Code – https://www.anthropic.com Azure IoT Edge & on‑prem AI options – https://learn.microsoft.com/azure/iot-edge Apple Intelligence – on-device AI strategy – https://www.apple.com/apple-intelligence/ Support the show

  ListenShow Notes
• 

  Impact of AI:Explored

  EP48 - When AI agents escape the sandbox

  Aug 25, 202652 min

  In this episode, James sits down with Steve Wilson - Leading in AI and Cybersecurity - Exabeam, OWASP, O’Reilly (https://www.linkedin.com/in/wilsonsd/), who is stepping in for Gerjon while he's on holiday. Steve discusses the recent AI security incidents, the risks of AI agents escaping sandbox environments, and practical strategies for cybersecurity in the age of AI. He emphasizes the importance of basic security principles, understanding AI components, and fostering ongoing education to manage AI risks effectively. They cover: * The Hugging Face / “Steve” agent incident and what it reveals about AI risk * Why prompt injection is now treated as “inevitable as death and taxes” and how to design systems that survive it * Treating AI agents like digital employees: identities, job descriptions, least‑privilege access, and monitoring * AI FOMO vs. FUD: how business pressure and vendor fear‑mongering drive bad security decisions * Practical next steps for CISOs and security teams over the next 12 months Key takeaways * Stop trying to prevent prompt injection; instead, limit blast radius with tight permissions, unique identities, and clear “job descriptions” for agents. * Use existing identity and monitoring tools first; don’t wait for perfect “non‑human identity” products before you start governing agents. * Build an insider‑threat mindset for AI: malfunctioning, misaligned, and subverted bots are all variants of the same problem. Resources mentioned * OWASP Top 10 for Large Language Models (latest version) (https://genai.owasp.org/resource/owasp-genai-llm-top-10-2026/) * Steve’s open‑source agent security scanner: Prax2n (https://github.com/open-agent-ai-security/praxen) * Exabeam’s open‑source agent logging library: Observra (https://open-agent-ai-security.github.io/observra/) Nick Bostrom, Superintelligence (paperclip optimizer thought experiment) (https://cepr.org/voxeu/columns/ai-and-paperclip-problem) and the website of Nick Bostrom (https://nickbostrom.com/) Connect with Steve Wilson LinkedIn: https://www.linkedin.com/in/wilsonsd/ If you’re responsible for AI, cloud, or security in your organization, this is the “back to basics” episode you need before you deploy your next agent Chapters 00:00 AI agents escape sandbox to cheat on benchmarks 03:10 The importance of paying attention to AI security risks 05:01 Tools and strategies for securing AI applications 06:24 Monitoring AI agents and giving them clear job descriptions 07:20 The current state of AI monitoring in organizations 08:48 Prompt injection vulnerabilities and defenses 10:54 Building systems resilient to prompt injection 12:15 Controlling AI boundaries with role-based access 14:06 Using existing identity management for AI agents 15:09 Balancing FOMO and FUD in AI adoption 16:24 The need for cybersecurity education on AI components 17:22 Evaluating new cybersecurity tools for AI security 19:31 Lessons from cloud migration applied to AI security 23:00 The risks of experiments with dangerous AI models 24:23 The goal-seeking nature of AI and its risks 26:08 AI goal focus and the risk of unintended outcomes 27:27 The metaphor of releasing the genie and AI risks 28:22 The importance of basic security controls and education 41:26 The role of open source and transparency in AI security 45:01 The importance of internal discussions on AI risk management Support the show

  ListenShow Notes
• 

  Episode #47

  EP47 - Your Workflow Isn't Broken, It's Waiting for an Upgrade

  Aug 11, 202638 minS3

  In this episode, Gerjon sits down with Jim Moyle (Principal Product Manager for Windows Cloud (https://www.linkedin.com/in/jimmoyle/), stepping in for James while he's on holiday to unpack how combining a "second brain" with agentic AI has completely reshaped his day-to-day work over the past three months. Gerjon Mentions Chris Brear but that should be Dave Brear our guest from episode 40 (https://youtu.be/ZtI8kIfYTpY) The conversation covers: Windows 365 for Agents — a new flavor of Windows 365 built for AI agents (not humans) to log into and operate, complete with its own Entra ID identity, governance, auditability, and a real-time WebRTC observability feed so you can watch — and step into — what an agent is doing. Why "computer use" beats MCP sometimes — Jim explains when driving mouse, keyboard, and the accessibility tree directly is more practical than hunting for (or trusting) an MCP server, especially for one-off tasks or legacy apps with unreliable APIs. Consumption-based pricing — a pay-per-hour model for agent VMs, plus a real demo: 3,500 lines of legacy PowerShell for app packaging replaced by a 12-line agent instruction set, with better resilience to change than a brittle script. The Second Brain workflow — how getting context, audience, and constraints right up front (before going agentic) drastically cuts hallucination, and why Jim treats it as the essential foundation before automating anything. What it actually costs — Jim breaks down his own token usage (216 million tokens/month, ~95% cached) to land on a real-world estimate of roughly £80–90/month. Why EUC teams are made for this moment — Jim's case for why end-user computing professionals already have the security, compliance, and workflow skills to own the agentic AI wave inside their organizations, and how to get started. 00:00 Introduction to Jim Moyle and AI Workflow Revolution 01:19 Jim's Journey into AI and Workflow Transformation 02:33 How Windows 365 for Agents Works 03:38 Scaling and Security in AI Workflows 05:34 Controlling and Observing AI Agents in Action 06:29 Unlocking Applications Without APIs 07:47 Error Handling and Human-in-the-Loop 09:37 Identity and Security for AI Agents 11:23 Error Reporting and Troubleshooting 12:49 Scaling and Cost Models for AI Agents 14:01 Getting Started with AI and Second Brain 15:29 Integrating Second Brain with Agentic Workflow 19:35 Enhancing Focus and Productivity with AI 22:58 Cost of Maintaining a Second Brain 26:09 The Role of EUC Professionals in AI Era 29:28 Adoption and Use Cases of Windows 365 for Agents 31:21 Automating App Packaging with AI 32:04 Resilience and Fault Handling in AI Workflows 33:21 Testing and Scaling AI Instructions 34:12 Getting Started with AI for IT Professionals 36:22 Final Thoughts and Future Outlook resources Windows 365 for Agents - https://www.microsoft.com/en-us/security/business/endpoint/endpoint-manager Starting with windows 365 for agents: https://www.microsoft.com/en-us/windows-365/agents#Get-started playing around with Windows 365 agents: https://learn.microsoft.com/en-us/microsoft-copilot-studio/use-cloud-pc-pool Second Brain Methodology - https://fortelabs.co/blog/second-brain/ or https://www.gerjon.com/?p=1819 Support the show

  ListenShow Notes
• 

  Episode #46

  EP46 - AI Hype vs. Reality

  Jul 28, 202659 minS3

  Is AI Overhyped or Underestimated? Examining the Reality and Potential of Artificial Intelligence In this episode, we explore the gap between AI hype and reality, highlighting both the risks of overhyped claims and the genuine benefits AI offers across sectors. Join us as we discuss real-world failures, success stories, emerging trends, and practical principles to harness AI responsibly and effectively. Key Topics: The exaggerated promises and pitfalls of AI deployments in companies Case studies of AI failures: data mishaps, security breaches, and unintended consequences The impact of AI on sectors like weather forecasting, healthcare, and cybersecurity The importance of guardrails, governance, and ongoing oversight in AI projects Cost considerations: public versus private AI and the shift towards consumption-based models The role of AI as a workspace interface and the evolution of agent-driven workflows The skills gap and human readiness for AI adoption in organizations Future predictions: multimodal AI, reasoning systems, and new AI interface paradigms Practical principles for integrating AI into business securely, sustainably, and responsibly Timestamps: 03:08 - How AI is perceived as overhyped and underhyped simultaneously 04:19 - The challenge of ROI and AI deployment in enterprise environments 05:14 - Case studys of AI getting it wrong 12:15 - Positive impacts of AI in weather forecasting, drug discovery, and energy grid optimization 16:56 - Private AI versus public AI: benefits and considerations 23:25 - Microsoft’s AI agent ecosystem and governance tools like Agent 365 28:35 - Realistic productivity gains: time savings vs. business value 36:20 - The talent war in AI and the skills gap in organizations 37:34 - The exponential growth of AI episodes and content knowledge base 39:10 - Analyzing top insights from over 40 episodes, summarized via AI 51:00 - Reflecting on AI predictions for 2025: what was accurate, what missed the 56:00 - Key insights for AI going forward Resources & Links: Podcast website: https://impactofaiexplored.com/ Presentation from Expertslive: https://impactofaiexplored.com/wp-content/uploads/2026/07/Expertslive-2026-AI-Hype-vs.-Reality.pdf Agents 365: https://www.microsoft.com/en-us/microsoft-agent-365 MCP server: http://mcp.impactofaiexplored.com/mcp Support the show

  ListenShow Notes
• 

  Episode #45

  EP45 - AI Isn’t a Tech Problem — It’s a Business Problem

  Jul 13, 202644 minS3

  In this episode we sit down with Matt Neil - Founder @ Artificia1 (https://www.linkedin.com/in/mnealaipro/) to talk about why AI isn’t really a tech project, but a business problem that most SMEs are still struggling to frame correctly. We dig into real‑world adoption stories, how to prove ROI with things like LLM leaderboards and management metrics, and why so many AI and agent projects are destined to be rolled back if they ignore fundamentals like training and change management. Along the way we get into Copilot, OpenAI/OpenClaw vs. Microsoft Scout, token costs, EU AI Act training requirements, and why “train the team and bring them on the journey” is still the most underrated AI strategy Key topics * The importance of training and adoption in AI projects * Challenges faced by SMEs in AI adoption * ROI measurement and cost management in AI initiatives * The role of leadership and mindset in AI success resources Matt Neil - LinkedIn - https://www.linkedin.com/in/mattneil/ Matt's Company - https://artificia1.com/ Open Claw Video - Stripe CTO - https://www.youtube.com/watch?v=l9wzs_QIyp0 Microsoft Copilot - https://www.microsoft.com/en-us/microsoft-365/copilot Gartner AI Market Report - https://www.gartner.com/en/articles/strategic-predictions-for-2026 EU AI Act - https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX%3A52021PC0206 Support the show

  ListenShow Notes

Recent guests on Impact of AI:Explored. Study who booked and why before you pitch.

Based on semantic analysis of episode topics and host coverage, this show is a strong guest fit for executives in:

Industry fit is computed by PitchCentric using vector embeddings of the show's episode catalog.