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

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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

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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

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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/

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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

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In 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 topics

• Costs of AI including human, environmental, and societal impacts
• The reverse Flynn effect and declining intelligence indicators
• The importance of human control and responsible AI development
• Habits and behaviors influenced by AI and technology
• Societal fragmentation and echo chambers caused by AI

Chapters
00:00 The Hidden Costs of AI
06:13 Understanding the Reverse Flynn Effect
10:19 Human Control vs. AI Dependence
14:16 The Impact of AI on Social Interactions
18:03 Cultural Reflections on Technology in Media
19:20 Patterns in Human Interaction with Technology
23:24 The Evolving Fear of AI
25:38 Generational Perspectives on AI
28:10 Safeguarding a Human-Centric AI Future
33:04 Addressing Societal Fragmentation through AI
38:00 Embracing Humanity in an AI-Driven World

Resources
Paul 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/)

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In 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.

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Welcome 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/takesmartnotes

more information: https://davebrear.ai

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This 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-all
• Importance of good data and governance
• AI as a co-pilot, not a replacement
• Challenges of siloed AI systems
• Human oversight and strategic use of AI

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What happens when you put a CTO from professional football in a room and ask them to be honest about AI?

Joe Darkins, CTO of Burnley Football Club, joins the show for a grounded, no-hype conversation about what it actually takes to deploy AI responsibly inside an organisation.

We cover a lot of ground. Joe breaks down why aligning AI to real business problems matters more than chasing the latest capability, how the CISO role is evolving as AI adoption accelerates, and what agentic AI looks like in a football club context. It's more complex than you might think.

We also get into the harder questions. Who is accountable when AI gets it wrong? How do you build sandboxed environments that prevent misuse? And why are local models becoming a serious conversation for organisations that care about data privacy and environmental impact?

If you're navigating AI adoption inside your organisation, this one is worth your time.

Topics covered:

• Aligning AI initiatives to actual business problems
• The CISO's expanding role in AI governance
• Agentic AI in sport and what it signals for other sectors
• AI accountability and risk management
• Local models, data privacy, and sustainability

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