Fullstack HR

Subscribe to the FullStack HR newsletter → https://fullstackhr.ioA week at Almedalen made one thing obvious. Most leaders shaping how Sweden thinks about AI have only ever touched Copilot or the free ChatGPT, and that single reference point is quietly capping what entire organizations believe AI can do.In this episode:Why almost nobody picks their own model, and how a Microsoft license becomes an AI strategy by accidentThe screwdriver vs power drill problem. Copilot solves the job, but it sets your expectations far too lowHow a single default tool shrinks the whole organization's sense of what AI is capable ofThe shadow IT trap, where your best people quietly run Claude or ChatGPT on the side and you lose both security and their hard-won knowledgeWhy limiting people to one tool becomes an employer branding problem over timeWhat the real frontrunners do instead. Securing Copilot, ChatGPT, Claude, and Gemini and letting people chooseThe blunt take on IT departments that claim multi-model access is not doable on security grounds

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 → https://fullstackhr.ioOrganizations keep telling Johannes Sundlo, the host here, "we've got the basics covered, skip ahead." Then he asks them to show how they use AI, and gets blank stares. This episode is about AI shame, where it comes from, and the one step you can't skip.In this episode:AI shame, what it looks like and why it's more common in 2026 than 2025The pattern behind it. Buyers say "we're proficient, go straight to processes," but the proficiency is a sliver of what the models can doWhy this shows up most in leadership teams, and why leaders who skip the grunt work can't set credible AI expectations for their organizationThe missing step. You can't jump to agentic processes before you've done the unglamorous work of learning what the model can doEducate everyone, including truck drivers without computers, because employees are already getting AI advice on salary and managers in their spare timeWhy being practical beats strategic-only thinking in AI adoption right nowLessons from roughly 110 workshops this winter and spring, and why Johannes is scaling that down

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 → https://fullstackhr.ioOpenAI just ran an event called Intelligence at Work, and the releases say a lot about where the world of work is going. Here is what dropped and why it matters for anyone leading AI adoption.In this episode:Why the bottleneck has shifted from model intelligence to a company's ability to absorb the techThe stat to sit with: 74% of AI's economic value is captured by 20% of companiesCodex moving into ChatGPT, and what that means if you are on ChatGPT EnterpriseSix role-specific agent plugins, including a data analytics agent that writes queries, builds charts, and produces a deckAnnotations: editing one piece of an output instead of regenerating the whole thing, and whether it solves the "last mile" problemSites: turning Codex outputs into shareable, live dashboards and internal apps (Lovable meets Artifacts)Why OpenAI keeps framing adoption as a human transformation, not an IT projectSam Altman on the next phase: proactive agents that fix things in the background before you askLinks mentioned:OpenAI Intelligence at Work (the event) → https://openai.com/sv-SE/business/intelligence-at-work/

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

Subscribe to the FullStack HR newsletter → https://fullstackhr.ioThree and a half years into the AI shift, most leaders still know AI matters but have no idea how to use it. This episode is about why that gap exists, and why the answer is getting practical.In this episode:Why leaders keep asking for agentic workflows before they've done the basic Copilot grunt workThe uncomfortable question every AI educator should answer: are you in the weeds, or only working "strategically"?Why you can't set new expectations for your team until you understand the new way of working yourselfWhat buyers should demand from anyone selling AI upskillingHow to do this for free with YouTube and disciplined facilitation if you don't want to hire someoneWhy AI should serve your existing strategy, not become a separate "AI strategy"The one-gear Ferrari problem: everyone owns Copilot, almost nobody drives it past first gearThis podcast is hosted by Johannes Sundlo, one of Europe's leading voices on AI adoption in HR and the workplace. He helps organizations move from talking about AI to actually using it, through hands-on workshops, keynotes, and the FullStack HR newsletter.

Subscribe to the FullStack HR newsletterAn impromptu between-episodes take on the AI bubble panic. Johannes cuts through the headlines about rising token costs, Microsoft cutting Claude Code, and Uber's COO questioning AI ROI, and explains what's signal and what's noise.In this episode:- Why nobody can actually call a bubble, and what the market is and isn't telling us right now- The arguments for a bubble (circular money between NVIDIA and OpenAI) versus against it (Anthropic's first profitable quarter)- Why "rising token costs" is a mislabel. Per-token prices are flat or lower, total spend is what's climbing- How Moore's Law underpins the whole thing: more powerful models for the same or lower price- The full context on Uber blowing its AI budget, and why the COO is far more nuanced than the headlines suggest- Why early subsidize-then-correct cycles are normal, same as railroads, electricity, and the internet- How to do the token economics yourself: if an agent solves a problem cheaper than a human at equal quality, you have your answer- Why the model companies are targeting a ~$58 trillion global labor market, and what that means for their valuationsLinks mentioned:- Rapid Response podcast, Andrew Macdonald (Uber COO) interview - Fortune coverage of the Uber AI budget story

The short answer is yes.But yes deserves an explanation. In this episode I make the case for why HR needs to get technically curious right now, and why that has nothing to do with becoming a programmer.We cover what's worth understanding (APIs, databases, MCP servers, and why they matter for HR), why playing around with tools like Claude Code, Codex, Lovable and Replit makes you a sharper buyer of HR tech, and how one curious person on a team can shift an entire organization. It might not be the CHRO. It might be the HR assistant fresh out of university.I share what it felt like walking into Spotify with close to zero backend knowledge, why the threshold for connecting systems has dropped, and why "I'm not the technical type" no longer holds as an excuse.This is where the world is heading. You can ignore it, or you can skate to where the puck is going.

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.

Block just fired 4,000 people in a single day. Their CEO Jack Dorsey said it was because of AI. The stock jumped 20%. And the internet lost its mind.Half the people say this is pure hype. The other half say AI is coming for all of us. I think both sides are wrong, and I have thoughts.In this video I go through what actually happened at Block, weigh the evidence for and against the AI narrative, talk about why Wall Street loved this so much, and share what I think it means for leaders, employees, and anyone trying to figure out where AI and jobs are actually heading. I also take on the myth that AI skills will protect you from layoffs.

What if an AI manager could do a better job than your current boss? Johannes explores this deliberately provocative question – not to argue that we should replace managers with AI, but to challenge our assumptions about what management is actually for. From the industrial revolution roots of the manager role to DoorDash's algorithmic task distribution, he examines whether the core function of "making sure work gets done" might be ripe for reinvention. If AI can handle delegation, and some managers already lack the empathy we claim only humans possess, what should human leaders actually focus on? A call to start the conversation about leadership's future before it's decided for us.

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.

Transforming Work with AI: Insights from EY and PWC SurveysIn this episode, Johannes Sundlo discusses the limited transformative use of AI in workplaces, referencing new surveys from EY and PWC. Despite high adoption rates for basic AI tasks, only a small percentage of employees leverage AI for advanced purposes. Sundlo emphasizes the need for better training, organizational alignment, and inclusive AI programs to bridge capability gaps and enhance productivity. The episode also explores the psychological challenges of AI learning and the potential for AI to replace HR roles, urging organizations to focus on strategic AI adoption and workforce development.00:00 Introduction and Overview00:49 EY Work Reimagined Survey Insights03:05 PWC Global Workforce Survey Findings06:54 Challenges in AI Learning and Adoption08:57 Future of HR in the AI Era11:04 Conclusion and Final Thoughts

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.

Link to all the articles mentioned here. This week's news highlights the rapid acceleration of white-collar automation, posing significant challenges for the workforce as training programs lag behind in preparing employees for an ai-driven future. The latest developments in ai adoption are transforming industries at an unprecedented pace, with companies like OpenAI making substantial investments, such as a $1.4 trillion bet on artificial general intelligence. As ai training becomes increasingly crucial for professionals to remain relevant, it is essential to address the gap between the pace of automation and the availability of effective training programs. In this video, we will delve into the implications of these trends and explore the potential consequences for the job market and the future of work. With ai adoption on the rise, it is more important than ever to prioritize ai training and ensure that the workforce is equipped to thrive in an automated economy.

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

Read the article here.This weeks article argues that while curiosity remains important, it is insufficient on its own for effective leadership and organizational success in the AI era. I'm your host, Johannes Sundlo, highlights three essential traits leaders must combine:Curiosity – A willingness to explore, ask questions, and learn about AI and new possibilities.Business Understanding – A deep, practical awareness of what drives their organization, whether in sales, customers, or operations.3. Action/Experimentation – The ability and willingness to engage hands-on with AI, building and testing solutions rather than just theorizing.Johannes Sundlo is a leading global expert on making AI adoption stick in organisations. With deep HR and leadership expertise, he helps companies worldwide turn AI from theory into daily practice.

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:

In under ten minutes we unpack the week: Washington’s new AI plan, CEOs deploying agentic AI co‑workers, a five‑skill “bionic” roadmap for leaders. Ten fresh stories, plain talk on why they matter, and one click gets you the full links.

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 this episode of FullStack HR, we dive into one of the trends shaping HR in 2025: proprietary AI models. Why are companies moving beyond generic tools like ChatGPT and Copilot to build their own tailored AI solutions? We explore the driving factors—control, customization, cost, and competitive edge—and breaks down how even smaller HR teams can take steps toward creating custom AI tools. You’ll learn about: The shifts making proprietary AI models more accessible. Real-world examples from companies like McKinsey, Salesforce, and Gong. Practical tips for identifying bottlenecks and collaborating with IT. A hybrid approach for smaller teams to leverage AI today. Don’t forget to subscribe for insights that are smarter, funnier, and just a little bit geekier than the rest.

What if your top performers aren’t who you think they are? Meet the AI-empowered workers—individuals who are leveraging generative AI to amplify their impact, drive innovation, and redefine workplace success. One might call them superworkers as well. In this episode, we explore how these workers are transforming HR and beyond, why their adaptability is setting a new standard for performance, and what leaders need to do to foster their growth. Plus, practical tips for HR professionals looking to become AI-enabled themselves. Want to get started? Check out my free Prompt School designed for HR professionals: Learn AI for HR. Let’s dive in and shape the future of work together!

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!

Read the full article here. In this episode, I explore the complexities of the EU AI Act and its implications for HR. From transparency requirements to the challenges of innovation, I talk about how this new legislation might shape the future of HR. Whether you're in HR or just interested in AI regulations, this episode offers insights into how to navigate the evolving landscape and remain competitive in the global market. Tune in to learn how to prepare your organization for compliance while still driving innovation.

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!

Check the show notes on LinkedIn.

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!

This episode features insights into Klarna's major shift towards AI, the unveiling of Anthropic's Claude 3 model family, a legal battle that could redefine AI's future, and the surprising effectiveness of creative AI prompting.

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.

This episode analyzes the transformative impact of AI on Human Resources (HR). We explore AI-generated videos, advanced chatbots, ethical AI development, and the evolution of HR practices. For deeper insights and the latest HR tech trends, subscribe to the HR AI Brief by FullStack HR on LinkedIn.

Explore groundbreaking AI updates with Google's Gemini and Microsoft's Deucalion and their implications for HR. Discover the balance between AI advancements and the critical human skills shaping the future of work. In This Episode: Google's Gemini: Fast, clear AI chatbot innovation. Insightful analysis at One Useful Thing. Microsoft's Deucalion: Redefining digital assistance with ethics and productivity. Details on VentureBeat. Human Skills in AI Era: The growing need for leadership, empathy, and creativity, as highlighted in Unleash AI. AI Job Dynamics: Examining AI's impact on employment with insights from Fortune. AI Implementation Challenges: Insights into organizational adoption struggles from IBTimes UK.

Dive into the latest FullStack HR AI Brief episode where we explore the UK government's £100M plan to boost AI research and its implications for HR, as reported by TechCrunch. We discuss the potential job disruptions in industries, as highlighted by HRDive, contrasted with MIT's more optimistic view on AI's impact on employment featured on CNN. The episode also examines the challenges and opportunities of AI-generated resumes through insights from TLNT. This analysis sheds light on the delicate balance between technology and human judgment in hiring. Check the show notes for links to the discussed articles and subscribe to stay ahead in the dynamic world of HR and AI.

In episode four of "HR AI Brief by FullStack HR," Johannes Sundlo examines the impact of AI on HR, starting with ADP Assist, a chatbot revolutionizing HR tasks by providing quick access to information and improving payroll accuracy. We also hear perspectives from industry experts and leaders on how AI is seen as an augmentation tool, enhancing job satisfaction by automating routine tasks and allowing for more creative work. The episode addresses concerns about "AI anxiety" among workers, emphasizing the need for education, transparency, and positive regulation to integrate AI responsibly. Through these discussions, Johannes highlights the potential of human-centered AI to strengthen and not supplant human roles in the workplace. Tune in to understand how AI is shaping the future of HR, making it more efficient and human-focused. Subscribe to "HR AI Brief by FullStack HR" for insights into AI's evolving role in enhancing workplace dynamics.

In episode three of "HR AI Brief by FullStack HR," Johannes Sundlo explores the rebranding of Google Bard to "Gemini" and how ChatGPT is transforming workplace dynamics. We dive into Gemini's advanced features and implications for mobile integration, reflecting on AI's role in enhancing daily operations and aligning with company values. The episode also examines the shift in AI talent recognition towards practical skills over traditional credentials, underscoring the importance of innovation and adaptability in the tech sector. Finally, Johannes discusses the latest in AI tools and their potential to simplify and enrich our professional lives. Tune in for a concise overview of AI's impact on the HR landscape and the evolving workplace.

In this episode of "HR AI Brief by FullStack HR," host Johannes Sundlo delves into the complexities of AI in the HR world. We uncover the increasing use of AI hiring tools, their potential biases, and the ethical questions they raise, highlighted by an investigative experiment. A look at a Glassdoor poll reveals the doubling use of AI tools like ChatGPT in various industries, showing a stark increase in productivity and a gender gap in adoption rates. We also discuss a UK study, where AI-driven companies see a significant revenue boost, emphasizing the economic benefits of AI integration. Closing with a focus on explainable AI (XAI), Johannes emphasizes the importance of transparency and trust in AI tools for HR decisions. Tune in to understand the evolving role of AI in HR, balancing innovation with ethical considerations.

In this inaugural episode of the FullStack HR AI Update, Johannes Sundlo takes us on an enlightening journey through the latest AI trends transforming the human resources landscape. Today, we delve into a fascinating report highlighted by Forbes, revealing that nearly half of job seekers are now using AI to enhance their resumes, with a staggering 90% approval rate from hiring managers. The episode explores how AI is not just accepted but preferred in the hiring process, suggesting a pivotal shift towards technology as a career co-pilot. From the evolution of visual resumes to the strategic elimination of AI intimidation in the workplace, Johannes unpacks the implications of these trends for job seekers and HR professionals alike. He emphasizes the importance of leveraging AI as a tool to amplify human capabilities rather than replace them, underlining the essential human element in HR practices. Brew a cup of coffee and join us for a thought-provoking discussion on embracing AI's potential while maintaining the human connection at the heart of HR. Stay engaged, informed, and ready to humanize the workplace in the age of AI.

Many in HR exhibit an overly optimistic "this is fine" attitude about AI. But the reality is, AI is already transforming HR workflows and reducing headcounts. In this episode, we discuss why passive optimism could doom the future of work. Just as past economic shifts brought immense social upheaval, the rise of AI promises to radically reshape the workforce. The difference is, these AI shifts are happening at breakneck speed compared to history. This urgency requires proactive governance to navigate AI's impact on jobs. We can't casually expect that things will work out fine without deliberate effort to shape a positive future. Drawing on historical lessons, we explore practical ways HR professionals can lean in to steer towards an ethical, humane AI-powered world of work. The time is now to awaken from passive optimism and guide the way forward.

Folks, I'll admit - I can sometimes get a little carried away jumping on the latest HR tech hype train. And AI has been hyped up immensely as a silver bullet to transform our field. But recently, I took a step back to dive deeper into the EU's proposed Artificial Intelligence Act and its implications. This sweeping legislation aims to pass by end of 2023 and regulate how companies can deploy AI. The EU recognizes dangers of unfettered AI in high-stakes HR areas like hiring and performance reviews. Their framework mandates transparency, testing for bias, and human oversight of AI decisions. Responsible AI governance presents challenges. But it's also a chance to embed ethics into the foundations of HR technology. Yes, AI hype still outpaces reality. As leaders, we must ensure algorithms uplift work for all - not undermine human dignity. I’m optimistic about AI’s potential, but sober about the risks. Let’s keep discussing how HR can responsibly shape an intelligent yet human future of work.

The AI version of the article from fullstackhr.io And update from Unleash World.

In this episode, I interview Sampo and Laura from MinaLearn, the creators of the popular online course Elements of AI. We discuss how Elements of AI came to be, why it has succeeded with over 1 million students, and its mission to make AI education accessible for everyone. They share tips on creating engaging and understandable learning content, the thinking behind their new "Elements of AI for Business" course, and their predictions for where AI is heading in society. Overall, it's a fascinating conversation inside the team working to democratize education about artificial intelligence.

In this episode, I discuss how ChatGPT may fade as companies integrate generative AI directly into existing tools like LinkedIn Recruiter and Google Workspace. With AI capabilities built into workflows, the friction of switching to ChatGPT diminishes. Though it offers robust conversation, platforms like LinkedIn can match these skills over time with massive datasets. I remain optimistic about AI's future, but believe it will live within our everyday platforms, not as a separate app. I also share insights from my new course and upcoming conference talk on elevating HR with generative AI.

Read the article at fullstackhr.io I experimented with answering HR forum questions using AI. It answered correctly, but people lack trust. I see an impact coming for some HR consultants as tools improve. I'm puzzled people use forums over AI for answers. I advise trying large language models like ChatGPT for HR queries.

Hello, is this ChatGPT? Yes, this is ChatGPT. In today's episode, we delve into the paradigm shift brought about by AI tools like ChatGPT in job interviews and the workplace, discussing the balance between human qualities and AI-assisted outcomes. How can organizations integrate AI aids in hiring while focusing on essential human attributes? How does AI influence the value placed on specific professions and skills? Join us as we unravel these questions and consider the future of AI and human collaboration in the professional world. This is the podcast version of the article from FullStack HR.

In this episode of FullstackHR, Merten Wulfert, co-founder and co-CEO of Ravio, joins us to discuss the challenges of compensation benchmarking and how Ravio is innovating in this space with real-time data insights. Merten shares his experience building compensation models at Deliveroo and the pain points that inspired him to start Ravio. He explains how Ravio's platform works, providing customers with up-to-date compensation benchmarks across Europe. The conversation covers building trust and fairness in compensation, trends in HR data, and more. Tune in to hear Merten's insights on the future of compensation analytics.

How do you use ChatGPT for HR? Get ready to revolutionize your HR practices with the power of AI. With this video, I aim to present ChatGPT and HR in an easy-to-understand guide on what AI is, how to start using ChatGPT, and how to implement it effectively in your HR operations. Watch to discover real-life examples of how ChatGPT can optimize HR tasks, from employee engagement to conflict resolution and everything in between. The session is run by me, Johannes Sundlo, and I work as a Senior HR Manager; the sessions combines my experience from working in HR with the passion I have for new technology. Join me as we explore the potential of AI in HR, and step into the future of work with ChatGPT. Here's the list of over 50 prompts for HR to use: https://www.fullstackhr.io/p/in-hr-use-these-prompts-with-chatgpt

Are you tired of sifting through countless emails and messages to get the answers you need from HR? Look no further than Ariglad, the employee communication platform streamlining communication and saving companies time and energy. In the latest episode of the Full Stack HR podcast, Sophie Wyne⁠ , the co-founder, and CEO of Ariglad⁠, shares her inspiration for creating the platform and the challenges the company faced in developing it. With a focus on employee communication, Ariglad sits in the middle of various platforms and systems to direct questions to the right person and automate repetitive tasks. The episode also includes a case study of a health tech company that used Ariglad and reported significant time savings. With AI technology on the horizon, Ariglad is poised to continue revolutionizing how companies approach employee communication.

Read the article and click all the links at fullstackhr.io

In this episode of FullStack HR, we are joined by Will Crandle and Steve Bebbington from Horsefly Analytics as they share the story behind their innovative data analytics tool. They discuss how they've helped organizations save millions of dollars and transform workforce planning through data-driven insights and how they're growing rapidly in various sectors, including DE&I strategies and business planning. Learn more about Horsefly Analytics here.

In this episode, I interview Sidhal from Metaview. We discuss the use of artificial intelligence in the recruitment process. We talk about the ways in which Metaview is leveraging AI to help recruiters be more efficient and make better hiring decisions.