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 47 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 47 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.

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  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

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  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

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  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

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  Impact of AI:Explored

  The Free Ride Is Over: Inside Copilot Cowork's New Bill

  Jun 30, 202646 min

  In this interesting episode of Impact of AI: Explored, Gerjon and James talk with Rich Gibbons - Head of FinOps, GreenOps, and Microsoft Intelligence at Synyega (https://www.linkedin.com/in/rich-gibbons-microsoft-licensing/). Rich discusses Microsoft's new consumption-based AI licensing models, including CoPilot, CoWork, and Scout, and explores their implications for organizations. We delve into cost forecasting, management challenges, and strategic considerations for adopting AI at scale. Key topics * Microsoft's shift to consumption-based AI licensing * Implications of Co-Pilot, Co-Work, and Scout for organizations * Cost forecasting and management challenges with AI * Strategies for controlling AI-related expenses * The impact of AI on enterprise software costs Chapters 00:42 Introduction to Microsoft's New Licensing Model 03:24 Understanding Co-Pilot and Co-Work 06:04 The Shift to Consumption-Based Billing 08:40 Cost Implications for Organizations 11:24 Evaluating ROI and Financial Discussions 13:50 The Future of AI in Organizations 16:54 Managing Costs and User Quotas 22:04 Navigating Credit Usage and Cost Management 26:12 The Complexity of Consumption-Based Models 29:47 The Evolution of SaaS Pricing Models 33:46 Understanding AI Cost Efficiency Claims 37:47 Strategizing AI Implementation in Organizations Resources Rich's Blog: https://cloudywithachanceoflicensing.com/ Microsoft Co-Pilot - https://www.microsoft.com/en-us/microsoft-365/copilot Microsoft Co-Work - https://www.microsoft.com/en-us/microsoft-365/copilot Microsoft Scout - https://blogs.microsoft.com/blog/2023/05/26/introducing-microsoft-365-copilot-scott/ Support the show

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  Impact of AI:Explored

  AI Governance Is Broken: Who Pays When Things Go Wrong?

  Jun 16, 202646 min

  In this insightful episode of Impact of AI: Explored, Gerjon and James talk with Louise Humpingon (https://www.linkedin.com/in/louisehumpington/). We explore the strategic positioning of tech giants in AI governance, the importance of accountability, diversity, and responsible deployment of AI technologies. Lousie shares her diverse background from philosophy to AI governance, emphasizing the need for collaborative, adaptive, and inclusive governance frameworks to mitigate risks and maximize benefits. key topics Strategic positioning of tech giants in AI regulation Accountability and liability in AI harms Diversity and inclusion in AI design and deployment The need for adaptive, multi-layered governance systems The role of human oversight and autonomous agents in AI safety Chapters 00:00 Strategic Positioning in AI Governance 04:30 Louise's Diverse Career Path 06:44 The Need for AI Regulation 09:39 Rethinking Accountability in AI 11:58 Utilizing AI for Self-Governance 15:01 The Mycelium Network of Governance 18:39 Bridging Communication Gaps in Organizations 22:34 Navigating Disputes and Building Trust 23:47 Understanding Women's Hesitancy Towards AI 26:07 Addressing Concerns for AI Adoption 31:34 Generational Trust Issues with Technology 35:56 The Role of Ethics in AI Development 42:14 Key Questions for AI Deployment LinkedIn - https://www.linkedin.com/in/louisehumpingon/ Chirosynthesis - https://chirosynthesis.com From Intentions to Impact (Newsletter) - https://substack.com/@fromintentions2impact Support the show

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