Impact of AI:Explored

James O'Regan and Gerjon Kunst

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.

  1. 2D AGO

    OpenClaw: The Coolest AI Agent You Should Probably Fear

    Welcome to the Impact of AI: Explored podcast. In this episode James O'Regan and Gerjon Kunst explore the emergence of OpenClaw, a personal AI agent that has gained significant attention for its capabilities and potential risks. They discuss its features, the rapid rise in popularity, and the security concerns associated with its use. The conversation also touches on the evolution of AI agents, comparing OpenClaw with Claude Cowork, and the implications for both consumer and enterprise applications. The hosts emphasize the importance of understanding the security risks involved in using such technology and the potential for future developments in the AI landscape. takeaways OpenClaw is a personal AI agent that runs locally.It can perform tasks like email scheduling and browser control.Security concerns arise from giving AI full access to systems.Many users are not taking necessary precautions when using OpenClaw.The rise of OpenClaw reflects a shift towards consumer-driven AI solutions.OpenAI's acquisition of the creator of OpenClaw highlights its potential.AI agents can automate complex tasks, but risks must be managed.The evolution of AI agents is leading to more autonomous systems.Open source nature of AI agents allows for rapid development and exploitation.Understanding security implications is crucial for users experimenting with AI.Chapters 00:10 Introduction to OpenClaw and AI Agents 02:58 The Rise of OpenClaw: Features and Popularity 05:44 Security Concerns with OpenClaw 08:21 The Evolution of AI Agents 11:03 Comparing OpenClaw and Claude Cowork 13:45 The Future of AI in Business 16:43 The Impact of OpenAI's Acquisition 19:24 Consumer vs. Enterprise AI Solutions 22:15 The Open Source Nature of AI Agents 24:56 Conclusion and Final Thoughts

    32 min
  2. FEB 10

    Industrial AI vs GenAI: What Really Works on the Factory Floor?

    Welcome to the Impact of AI: Explored podcast. In this episode  James and Gerjon have a awesome guest: Dr. Nikita Golovko - Certified ISAQB CPSA-F Architect/Cybersecurity expert & PSSE (ISC2 CC) (https://www.linkedin.com/in/dr-nikita-golovko/) In this conversation, we discuss the challenges and nuances of implementing AI in industrial settings. We look at the importance of bridging the gap between AI technology and practical application on the factory floor, highlighting the need for translators who can communicate between data science and operational teams. The discussion also covers the transition from lab-based AI to real-world applications, the significance of team structure in successful AI projects, and the responsibilities of engineers in ensuring AI systems are safe, transparent, and sustainable. We share insights on generative AI, technical debt, and the future of AI in industrial automation, advocating for a collaborative approach that includes human oversight in decision-making processes. Takeaways * Finding the right talent to bridge AI and operational gaps is crucial. * AI solutions often fail when transitioning from lab to real-world environments. * Technical debt can be identified by signals like fear of touching code. * Generative AI is not yet suitable for industrial applications due to unpredictability. * AI should enhance human decision-making, not replace it. * Team structure significantly impacts the success of AI projects. * Sustainability in AI means retraining models with new teams over time. * Transparency and explainability are essential for AI systems. * AI can assist in coding but should not replace foundational knowledge. * Documenting decisions is key to managing technical debt. Chapters 00:00 AI agents in industrial environments 01:33 introduction 02:18 Listener question: Bridging the Gap in Industrial AI Hiring 06:47 Challenges of Deploying AI in Real-World Environments 09:38 Technical Debt and Its Early Warning Signs 12:18 Generative AI vs. Classical Machine Learning in Industry 14:51 The Role of Predictability in AI Models 17:29 Local vs. Centralized AI Models in Production 20:14 Architectural Challenges in AI Implementation 22:55 Sustainability in AI System Design 25:52 The Future of AI in Industrial Applications 26:54 The Role of AI in Industrial Automation 32:00 AI as an Advisor: The Human Element 36:39 AI-Assisted Coding: Benefits and Risks 40:08 Responsibility and Ethics in AI Development

    42 min
  3. JAN 27

    Beyond Copilot: Process-Based Permissions and Autonomous IT

    Welcome to the Impact of AI: Explored podcast. In this episode  James and Gerjon have a special guest: Christiaan Brinkhoff - Cloud & AI Product Leader for Windows Cloud at Microsoft. (https://www.linkedin.com/in/christiaanbrinkhoff/) In this episode, we discuss how AI enabled Cloud PC's change the way we work. We look at the transformative impact of AI on productivity tools, compliance, and responsible AI practices. We explore the future of AI in workflows, the cultural shifts needed for adoption, and the role of AI in IT security. The discussion also covers the evolution of user interfaces, the potential of AI in education, and the importance of embracing change to fully leverage AI's benefits. Takeaways * AI will transform productivity tools by automating repetitive tasks. * Compliance and responsible AI are crucial for safe implementation. * AI agents will change how we interact with technology. * Cultural shifts are necessary for AI adoption in organizations. * AI can enhance user interfaces and make them more adaptive. * The future of work will involve more AI-driven processes. * AI can help bridge gaps in education and accessibility. * Organizations need to embrace change to leverage AI benefits. * AI can provide personalized experiences for users. * The evolution of AI will continue to shape various industries. Chapters 00:00 Introduction and Personal Anecdotes 01:50 AI and Cloud PC: Future Features 05:39 The Role of Agents in AI 09:26 Security and Compliance in AI 12:54 Embracing Change: The Cultural Shift in IT 16:52 Windows 365 and AI Integration 23:45 The Future of IT Management and Adaptive UI 25:12 Accelerated Prototyping with AI 27:31 The Evolution of Application Interaction 29:21 AI as a Personal Assistant 33:44 Adoption Challenges and User Mindset 37:49 AI Features in Cloud PCs 40:18 Navigating Change in Organizations 45:30 AI's Role in Accessibility and Daily Life

    49 min
  4. 12/30/2025

    AI 2025: Predictions vs. Reality

    Welcome to the Impact of AI: Explored podcast.  In this episode we show our presentation from EUC-Forum in London.  (original recording: https://www.youtube.com/watch?v=YgaLhXCAiQ0). We review our previous predictions about AI's impact on various sectors in 2025.  We discuss the implications of AI in traffic management, security, and compliance, and delve into the ethical considerations surrounding AI technology.  We also share insights from our two-year podcasting journey, culminating in predictions for the future of AI in 2026 (and beyond). Takeaways * AI is expected to change the world significantly by 2025. * Seven out of nine predictions made last year were accurate. * AI can manage complex systems like traffic, but implementation is lacking. * Shadow AI is a growing concern for organizations. * AI has potential benefits for sustainability, but it also poses challenges. * People can develop emotional attachments to AI models. * Automating mundane tasks with AI can lead to higher user adoption. * The AI hype cycle is a real phenomenon that needs to be navigated carefully. * AI will redefine how we search for information online. Chapters 00:00 Introduction to AI Predictions 02:10 Reviewing Last Year's Predictions 05:14 AI in Traffic Management and Automation 08:28 AI's Role in Security and Compliance 11:37 The Future of AI: Quantum Computing and Ethics 15:08 AI's Impact on Society and Employment 18:32 Navigating the AI Hype Cycle 21:35 Real-World Applications of AI 23:54 Lessons Learned from Two Years of AI Podcasting 25:59 Predictions for 2026 and Beyond If you want to know more about EUC Forum check their website here: https://www.eucforum.tech/

    44 min
  5. 12/16/2025

    AI 2026: When Agents, Browsers, and Security Collide

    Welcome to the Impact of AI: Explored podcast. In this episode  James and Gerjon have a special guest: Brian Madden  - VP, Technology Officer & Futurist at Citrix (https://www.linkedin.com/in/bmadden/) In this episode we look back at AI development in 2025 and discuss the evolving landscape of AI, particularly its impact on productivity, the role of agentic AI, and the future of AI in the workplace. We explore how workers are beginning to control AI tools, the security implications of AI browsers, and the predictions for AI's role in business by 2026.  The discussion emphasizes the gradual evolution of AI rather than a sudden revolution, highlighting the importance of integrating AI into existing workflows and the potential challenges that lie ahead. Takeaways * AI is being used to enhance productivity but poses security risks. * Workers are increasingly in control of AI tools in organizations. * The concept of agentic AI is becoming more relevant. * AI will not replace jobs but change how work is done. * The future of AI in the workplace is about integration and evolution. * AI browsers are set to revolutionize how we interact with technology. * IT departments need to adapt to the rapid changes in AI. * Security concerns around AI tools are paramount. * The market for AI may face challenges, but the technology is here to stay. * AI will continue to evolve and become more efficient over time. Chapters 00:00 Introducing the Futurist: Brian Madden 02:18 The Role of a Futurist in AI 07:11 AI Predictions: What We Got Right and Wrong 11:52 The Rise of Agentic AI 16:23 AI in Everyday Life: The Future of Work 20:11 Navigating AI's Voice and Personality 22:12 The Future of Agentic AI in 2026 26:24 AI in the Workplace: Current Challenges and Predictions 30:08 The Rise of AI Browsers and Security Concerns 35:17 The Evolution of AI Integration in Business 41:01 Market Predictions: AI's Future Beyond the Hype Mentioned blogposts Microsoft ignite session: https://ignite.microsoft.com/en-US/sessions/BRKSP486 Workers control AI: https://www.citrix.com/blogs/2025/12/03/it-admits-workers-control-ai-workers-admit-they-use-it-to-leave-at-5/ 7-stage roadmap: https://www.linkedin.com/posts/bmadden_this-is-most-important-foundational-ai-article-activity-7343275225498755072-xRTm/ AI agents: https://www.citrix.com/blogs/2025/07/16/why-ai-agents-will-use-the-same-desktops-and-apps-as-human-workers/

    50 min
  6. 12/01/2025

    AI browsers: The good, the bad and the ugly

    Welcome to the Impact of AI: Explored podcast. In this episode we explore the emerging landscape of AI browsers, discussing their benefits, risks, and future implications. we dive into how these browsers can enhance productivity while also raising significant security concerns. The discussion highlights the balance between leveraging AI for efficiency and the potential dangers of automation in sensitive environments. Takeaways * AI browsers represent the next evolution in browsing technology. * They can automate tasks and save time for users. * Security risks include browser hijacking and data privacy concerns. * AI browsers can enhance productivity but require careful use. * The integration of AI in browsers is still in its early stages. * Future developments will likely focus on security and user control. * Users should be cautious about sharing sensitive information with AI browsers. * The potential for AI browsers in corporate environments is significant but complex. * AI browsers could revolutionize how we interact with the web. Chapters 00:58Introduction to AI Browsers 03:34 Exploring the Good of AI Browsers 06:16 The Bad: Security Concerns and Risks 08:49 The Ugly: Potential for Misuse 11:31 Productivity Gains vs. Security Risks 13:18 The Future of AI Browsers 16:01 Conclusion and Final Thoughts If you want to play around with it, want more information or want to know how e.g. comet is handeling caching here's some additional information https://www.digitalocean.com/resources/articles/agentic-browsers https://www.perplexity.ai/download-comet https://chatgpt.com/en-en/atlas/get-started/ https://comet-help.perplexity.ai/en/articles/11740986-local-data-device-storage

    34 min
  7. 11/18/2025

    Machines Love Patterns — We Love Chaos: AI for the Rest of Us

    Welcome to the Impact of AI: Explored podcast. In this episode  James and Gerjon have a special guest: Sairam Sundaresan AI Engineering Leader | Author of AI for the Rest of Us (https://www.linkedin.com/in/sairam-sundaresan/) In this conversation, Sairam Sundaresan discusses his work in autonomous driving and the challenges faced in AI development. He emphasizes the importance of understanding AI, addressing misconceptions, and the iterative nature of AI solutions. Sairam also explains concepts like Retrieval Augmented Generation and groundedness in AI responses. The discussion touches on the definition of true AI agents, the hype surrounding AI, and the hidden costs associated with AI technologies. Sairam concludes with insights on focusing on meaningful innovations and the importance of asking better questions in AI interactions. Takeaways * Sairam Sundaresan is working on autonomous driving technology. There is unpredictability in human driving behavior affecting AI development. * AI is an iterative process that augments human judgment, not replaces it. * Retrieval Augmented Generation (RAG) enhances AI responses with relevant information. * Groundedness in AI refers to the accuracy and evidence behind AI-generated answers. * True AI agents can plan and execute tasks with minimal human intervention. * The term 'AI agent' is often misused and overhyped in the industry. * AI failures can provide valuable lessons for future developments. * The hidden costs of AI include maintenance and environmental impact. * Asking better questions can significantly improve AI interactions.

    48 min

About

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.