Fullstack HR

Anthropic just dropped Claude Fable 5, and I've run it through the same test suite he's used on every major model for 2.5 years. The verdict is clear, but the bigger lesson isn't about the model at all.In this episode:- Why Fable 5 feels like the most human-like model yet, and how it gives honest, direct feedback instead of patting you on the back- The worker scheduling test (30 people, legal requirements, hard constraints) and how Fable 5 handled it- A real client case where Fable 5 reworked a Copilot Studio workshop deck and improved the flow- The Mythos connection, the security guardrails, and why hacking headlines might be part PR- The pricing cliff on June 22. $10 per input token, $50 per output token, and Johannes's plan to pair Opus 4.8 for creation with Fable 5 for evaluation- The real bottleneck. Models are capable, organizations are not, and why experimentation time is the thing HR must fight for- McKinsey's warning that HR risks becoming a sub-department of IT if it doesn't take the driver's seat nowLinks mentioned:- McKinsey HR Monitor 2026 → https://www.mckinsey.com/capabilities/people-and-organizational-performance/our-insights/hr-monitor

Subscribe to the FullStack HR newsletter Yes, you can connect your HR system, ATS, or engagement tool to Claude and ChatGPT. In this episode Johannes Sundlo walks through the exact steps to add an MCP server to both tools, using a safe read-only demo.In this episode:What an MCP server unlocks for your AI, explained simplyAdding a pre-made connector in ClaudeAdding a custom MCP server in Claude with a URLWhy you should start with read-only accessEnabling Developer mode and creating an app in ChatGPTConnecting and testing the server in ChatGPTAuthentication, security, and why to bring IT in earlyNew to MCP? Start with the written primer that explains connectors and MCP from scratch:https://www.fullstackhr.io/p/connectors-and-mcp-explained-forLinks mentioned:MCP and connectors explainer → https://www.fullstackhr.io/p/connectors-and-mcp-explained-for

Subscribe to the FullStack HR newsletter Performance reviews have looked the same since the 1950s, and they are still mostly task-based. AI breaks that. This episode asks what we should reward when the tasks get automated and the only thing left to value is human judgment.In this episode:- Why the task-based performance review is the wrong tool for the AI era- The judgment problem. If an agent does the work, how does an employee prove their value, and does the manager even see it- A real CHRO dilemma. Two standard performers became superstars with AI, two former high performers fell behind, and bonus season arrived- Rewarding the behavior of using AI versus rewarding valid, validated output- Why AI makes the manager's job harder, not easier- The hidden cost of a thumbs-up task that creates a ripple of rework downstream- Should we scrap the performance review, hand growth to AI plus manager, or build something newLinks mentioned:- Nate B. Jones, Nate's Substack

In this episode, Johannes Sundlo explores a growing issue inside organizations adopting AI: the creation of an “A and B team.”Some employees get access to AI tools, licenses, education, and experimentation opportunities. Others are left behind. Not because of role or capability, but because of interest, visibility, or who happened to push hardest internally.Johannes argues that this is becoming one of the most overlooked leadership and employer branding challenges in AI adoption.He discusses:Why selective AI access creates organizational inequalityThe hidden cultural risks of AI “elite groups”Why the cost argument often falls apart under scrutinyThe chicken-and-egg problem of AI adoptionShadow AI and the risks of unsupported toolsWhy HR cannot leave this entirely to ITHow AI access is increasingly becoming a workplace infrastructure question, not an innovation experimentThis is not a conversation about hype or future speculation. It’s about what happens inside organizations right now when some employees are allowed to work with modern tools while others are expected to continue without them.A practical reflection on leadership, fairness, AI adoption, and the future of work.

What happens when a four-week project takes 45 minutes? That's what I experienced over Christmas with Claude Code. In this episode, I share what I built, why this matters beyond coding, and the hard questions organizations need to start asking. Because this isn't slowing down.

Read the full article here and get all the links: fullstackhr.ioROI Reality Check - IBM study shows 66% of companies already see significant AI productivity gains, with 41% expecting ROI within a year. But the gap between large enterprises and SMEs is widening fast.Ernst & Young's Smart Move - They've built a tool that shows employees exactly how their jobs are changing, what'll be automated, and what skills they need next. Over 200,000 employees have engaged with it.Citigroup's Scale - 1 million automated code reviews, 7 million AI tool uses, freeing up 100,000 developer hours weekly. This is what productivity at scale actually looks like.The Recruiting Arms Race - 50% of hiring managers use AI to screen candidates. 70% of candidates use AI to write applications and prep for interviews. It's like two AIs playing chess, neither realizing it.Chipotle's Results - Used conversational AI for 20,000 seasonal hires. Application completion jumped from 50% to 85%, time-to-hire dropped from 12 days to 4.The Big Questions:How do we redesign roles when AI does significant work?What does "knowledge" even mean in the AI era?Do we need to completely rethink the recruitment funnel?The pattern? Companies treating AI as a campaign fail. Those treating it as an operating model win. This isn't about buying licenses and booking training sessions—it's about fundamentally redesigning how work gets done.

New data reveals why workers are choosing AI over human leadership – and what it means for the future of management

A massive field experiment with 70,000 applicants just delivered one of the most important findings for HR: AI voice agents conducting job interviews outperformed human recruiters.The results:✅ 12% more job offers✅ 18% more people actually starting their jobs✅ 17% higher 30-day retention✅ 78% of applicants preferred AI over a human recruiterRecruiters had predicted the opposite. The data proved them wrong.In this episode, I break down what the study means for HR, fairness, and the future role of recruiters.Read the full article here:

AI agents are the tech world’s latest obsession, but are they ready to transform work—or just overhyped? I dive into what AI agents really are, their potential, and why most organizations aren’t ready for them yet. Drawing on insights from Nvidia and industry experts, I break down the promise and challenges of AI agents and share practical steps HR teams can take now to prepare for the future. Plus, I share a sneak peek of a free tool I’m launching to help organizations navigate the EU AI Act. Tune in for a clear-eyed look at the future of AI in the workplace.

In today’s episode, we’re diving into a fascinating study from the University of Gothenburg about the HR Business Partner (HRBP) model in Scandinavian workplaces. The study highlights some big gaps between the ideal HRBP role and what actually happens in practice. Many HR professionals struggle with the strategic side of the role, and there’s often a disconnect between what line managers need—more operational support—and what the HRBP role is supposed to offer. One of the key takeaways is the idea of moving towards a team-based approach to HR, which might fit better with the collaborative culture in Scandinavian companies. It’s a reminder that we need to adapt global HR models to fit our local context, rather than just adopting them as-is. Tune in to hear more about these insights and how they could impact the way we think about HR in our own organizations!

In this episode, I’m back from a traditional Swedish summer break and ready to explore what I’m calling the "AI Expectation Problem." I discuss how the hype around AI might be outpacing reality, drawing some interesting parallels with the dot-com bubble of the late '90s. I’ll also share my thoughts on the Gartner Hype Cycle and why many organizations aren't seeing the promised productivity gains from AI—and what they need to do to bridge that gap. If you prefer reading, you can check out the full article at fullstackhr.io. Whether you're listening on Spotify, watching on YouTube, or following along on LinkedIn, be sure to subscribe and leave your feedback. I’m experimenting with this format, blending podcast and video, and your input is invaluable as I continue to refine the show. Tune in to gain valuable insights and stay ahead in the ever-evolving HR landscape!

In this episode of HR AI Brief by FullStack HR, dive into the transformative world of artificial intelligence in human resources. Uncover the irony of Big 4 firms limiting AI in recruitment and explore how AI can refine integrity in hiring practices. Discover the concept of "Corporate Ozempic," illustrating how AI streamlines business efficiency. Be amazed by Figure 01 ChatGPT, a humanoid robot that redefines workplace interaction. Gain insights from the latest Mercer survey on AI's strategic impact in HR, and learn how generative AI is revolutionizing the field, demanding new skills and ethical considerations. Join Johannes Sundlo and navigate the AI journey in HR, shaping a future where technology enhances human talent. Don't miss out on this compelling exploration—subscribe to HR AI Brief today and transform HR with us!

In this episode of the HR AI Brief by FullStack HR, we discuss the impact of artificial intelligence on human resources, from the acceleration of AI development to its integration in the workplace and the freelance job market. We examine AI's capabilities, its role in HR strategy, and the implications for talent management, drawing on insights from various expert sources. This episode offers a concise overview of AI's current and potential influence on HR practices, highlighting the need for adaptability among HR professionals. Join us for an informed look at how AI is reshaping the HR landscape.