Podcast
Impact of AI:Explored
Hosted by James O'Regan and Gerjon Kunst · EN
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.
12episodes
Episodes
Newest firstAll episodes
EP46 - AI Hype vs. Reality
2w ago00:59:10Tap to summarizeIs AI Overhyped or Underestimated? Examining the Reality and Potential of Artificial IntelligenceIn 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 companiesCase studies of AI failures: data mishaps, security breaches, and unintended consequencesThe impact of AI on sectors like weather forecasting, healthcare, and cybersecurityThe importance of guardrails, governance, and ongoing oversight in AI projectsCost considerations: public versus private AI and the shift towards consumption-based modelsThe role of AI as a workspace interface and the evolution of agent-driven workflowsThe skills gap and human readiness for AI adoption in organizationsFuture predictions: multimodal AI, reasoning systems, and new AI interface paradigmsPractical principles for integrating AI into business securely, sustainably, and responsibly Timestamps:03:08 - How AI is perceived as overhyped and underhyped simultaneously04:19 - The challenge of ROI and AI deployment in enterprise environments05:14 - Case studys of AI getting it wrong12:15 - Positive impacts of AI in weather forecasting, drug discovery, and energy grid optimization16:56 - Private AI versus public AI: benefits and considerations23:25 - Microsoft’s AI agent ecosystem and governance tools like Agent 36528:35 - Realistic productivity gains: time savings vs. business value36:20 - The talent war in AI and the skills gap in organizations37:34 - The exponential growth of AI episodes and content knowledge base39:10 - Analyzing top insights from over 40 episodes, summarized via AI51:00 - Reflecting on AI predictions for 2025: what was accurate, what missed the 56:00 - Key insights for AI going forwardResources & Links:Podcast website: https://impactofaiexplored.com/Presentation from Expertslive: https://impactofaiexplored.com/wp-content/uploads/2026/07/Expertslive-2026-AI-Hype-vs.-Reality.pdfAgents 365: https://www.microsoft.com/en-us/microsoft-agent-365MCP server: http://mcp.impactofaiexplored.com/mcp Support the show
Transcribe →EP45 - AI Isn’t a Tech Problem — It’s a Business Problem
Jul 1300:43:52Tap to summarizeIn 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 strategyKey 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 successresourcesMatt 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_QIyp0Microsoft Copilot - https://www.microsoft.com/en-us/microsoft-365/copilotGartner AI Market Report - https://www.gartner.com/en/articles/strategic-predictions-for-2026EU AI Act - https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX%3A52021PC0206Support the show
Transcribe →EP44 - The Free Ride Is Over Inside Copilot Cowork's New Bill
Jun 3000:45:49Tap to summarizeIn 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 costsChapters00:42 Introduction to Microsoft's New Licensing Model03:24 Understanding Co-Pilot and Co-Work06:04 The Shift to Consumption-Based Billing08:40 Cost Implications for Organizations11:24 Evaluating ROI and Financial Discussions13:50 The Future of AI in Organizations16:54 Managing Costs and User Quotas22:04 Navigating Credit Usage and Cost Management26:12 The Complexity of Consumption-Based Models29:47 The Evolution of SaaS Pricing Models33:46 Understanding AI Cost Efficiency Claims37:47 Strategizing AI Implementation in OrganizationsResourcesRich's Blog: https://cloudywithachanceoflicensing.com/Microsoft Co-Pilot - https://www.microsoft.com/en-us/microsoft-365/copilotMicrosoft Co-Work - https://www.microsoft.com/en-us/microsoft-365/copilotMicrosoft Scout - https://blogs.microsoft.com/blog/2023/05/26/introducing-microsoft-365-copilot-scott/Support the show
Transcribe →EP43 - AI Governance Is Broken Who Pays When Things Go Wrong
Jun 1600:46:14Tap to summarizeIn 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 topicsStrategic positioning of tech giants in AI regulationAccountability and liability in AI harmsDiversity and inclusion in AI design and deploymentThe need for adaptive, multi-layered governance systemsThe role of human oversight and autonomous agents in AI safetyChapters00:00 Strategic Positioning in AI Governance04:30 Louise's Diverse Career Path06:44 The Need for AI Regulation09:39 Rethinking Accountability in AI11:58 Utilizing AI for Self-Governance15:01 The Mycelium Network of Governance18:39 Bridging Communication Gaps in Organizations22:34 Navigating Disputes and Building Trust23:47 Understanding Women's Hesitancy Towards AI26:07 Addressing Concerns for AI Adoption31:34 Generational Trust Issues with Technology35:56 The Role of Ethics in AI Development42:14 Key Questions for AI DeploymentLinkedIn - https://www.linkedin.com/in/louisehumpingon/Chirosynthesis - https://chirosynthesis.comFrom Intentions to Impact (Newsletter) - https://substack.com/@fromintentions2impactSupport the show
Transcribe →EP42 - Pressing the Easy Button How AI Habits Are Breaking Our Brains and Our Jobs
Jun 200:42:57Tap to summarizeIn this episode of Impact of AI: Explored, Gerjon and James talk with Paul Slater - Principal AI Technologist at Adobe (https://www.linkedin.com/in/paul-slater/). We discus the often overlooked costs of AI, including human, environmental, and societal impacts. We look at the importance of human control, responsible AI development, and maintaining human-centric values in the age of rapid AI evolution. We also dive into the Reverse Flynn effect which covers the decline in average IQ scores after peaking in the 1990s/2000s.key topicsCosts of AI including human, environmental, and societal impactsThe reverse Flynn effect and declining intelligence indicatorsThe importance of human control and responsible AI developmentHabits and behaviors influenced by AI and technologySocietal fragmentation and echo chambers caused by AIChapters00:00 The Hidden Costs of AI06:13 Understanding the Reverse Flynn Effect10:19 Human Control vs. AI Dependence14:16 The Impact of AI on Social Interactions18:03 Cultural Reflections on Technology in Media19:20 Patterns in Human Interaction with Technology23:24 The Evolving Fear of AI25:38 Generational Perspectives on AI28:10 Safeguarding a Human-Centric AI Future33:04 Addressing Societal Fragmentation through AI38:00 Embracing Humanity in an AI-Driven WorldResourcesPaul Slater's Book on AI Costs and Society (https://www.amazon.com/Your-Next-Job-Disappears-ebook/dp/B0C7V7X4X4)European Union Guidelines on AI (https://digital-strategy.ec.europa.eu/en/policies/ai-act)Responsible AI Guidelines by Microsoft (https://www.microsoft.com/en-us/ai/responsible-ai)South Park Episode on AI and Society (http://southparkstudios.com/episodes/8byci4/south-park-deep-learning-season-26-ep-4)Atomic Habits by James Clear (https://www.amazon.com/Atomic-Habits-James-Clear/dp/0735211299)The Reverse Flynn Effect (https://www.develop.bc.ca/the-reverse-flynn-effect/)Support the show
Transcribe →EP41 - AI Governance Isn't New How To Stop Panicking and Start Doing the Work
May 1900:44:34Tap to summarizeIn this episode of Impact of AI: Explored, Gerjon and James talk with Rob Fawcett (The Human CTO) about the “boring but necessary” side of AI: governance, assurance and compliance. Rob explains why most organizations already have the skills from GDPR, ISO and data protection work – they just forget that AI is another governance problem, not a completely new universe.Topics we cover are the EU AI Act, the upcoming UK AI bill, and the real tension between moving fast with AI and staying compliant. Rob breaks down the three modes he sees in companies today: policy and forget, the waiting game, and speed vs compliance. He also argues IT – especially the service desk – is one of the most underused assets in AI governance.We dive into agentic AI (agents talking to agents with no human in the loop), data classification and anonymization, and who’s ultimately responsible when AI agents go wrong – vendors or the business. Rob introduces the ARIA framework (AI Readiness, Impact, Assurance), which scores and prioritizes AI use cases so you don’t just make bad processes faster, and explains how even small teams can start with something as simple as a spreadsheet inventory of all AI tools in use.Support the show
Transcribe →EP40 - "Is Your AI Just `Slop' - Or a Real Second Brain
May 500:45:03Tap to summarizeWelcome to the Impact of AI: Explored podcast. In this episode James and Gerjon sit down with Dave Brear, Citrix Account Technology Strategist (https://www.linkedin.com/in/davebrear/) to unpack the idea of an “AI second brain” and why chain of cognition matters in a world of instant AI-generated content. They talk about “AI slop” and what separates truly valuable, story-driven content from meaning-shaped noise, even when AI is involved. Dave shares his origin story with note-taking, Zettelkasten, and Obsidian, and how he accidentally built the perfect foundation for an AI-augmented thinking system. We then explore how he connects this personal knowledge vault to AI as a thinking partner, the implications for EUC and enterprise user profiles, and the risks around ownership, shadow AI, and companies potentially “bottling” employees’ cognition. Finally, Dave gives practical advice for knowledge workers who want to start their own second brain from a blank slate, and why reading How to Take Smart Notes might change how you think forever.Interesting links:The book Dave refers to: https://www.soenkeahrens.de/en/takesmartnotesmore information: https://davebrear.aiSupport the show
Transcribe →EP39 - Hello AI Summit 2026 - Amplify, Don’t Replace: The Human Side of AI Adoption
Apr 2100:18:04Tap to summarizeAnxious about AI change? In this episode, Stephen Gresty - Coaching & Training Consultant MSc (https://www.linkedin.com/in/stephengrestyroiltd/) joins James live from the Hello AI Collective Summit to explore how leaders can bring people with them instead of leaving them behind. We dig into why purpose matters more than tools, how to keep work meaningful when “AI is coming for my job” is on everyone’s mind, and why AI should amplify humans rather than replace them. Stephen shares his MORSE philosophy from applied positive psychology (mindset, optimism, resilience, strengths, empathy), talks psychological safety, and warns about the real risk of “dumbing down” if we outsource our thinking to machines.Support the show
Transcribe →EP36 - Hello AI Summit 2026 - From Idea to Emirates: Building Real AI Impact in 11 Months
Apr 2100:16:15Tap to summarizeIn this episode we’re at Arsenal’s Emirates Stadium at Hello AI Summit 2026 and James has a chat with Dan Boyles - Global AI stratigist and Founder at Hello AI (https://www.linkedin.com/in/danhelloai/), 11 months after he turned a rough idea into an AI summit. We dig into why most AI projects stall, how bad data and “glorified Google search” use cases kill ROI, and why fixing your data foundation (think Azure SQL + Fabric) unlocks real business outcomes in operations and customer experience. Dan also explains why AI agents are “really clever interns” on their way to becoming operational teammates, and why you still need proper governance, backups and a clear “why” before you unleash them on your business.Support the show
Transcribe →EP38 - Hello AI Summit 2026 - AI is a co-pilot, not a Pilot
Apr 2100:22:31Tap to summarizeThis episode with Phil Hobden Head of Customer Advocacy at Sage explores the realistic applications and limitations of AI in business, emphasizing the importance of good data, human oversight, and strategic integration. Phil shares insights on AI's role as a co-pilot, the necessity of foundational data, and the future of AI-driven efficiency.AI as a tool not a cure-allImportance of good data and governanceAI as a co-pilot, not a replacementChallenges of siloed AI systemsHuman oversight and strategic use of AISupport the show
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