Fullstack HR – Détails, épisodes et analyse

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Fullstack HR

Johannes Sundlo

Business & Entrepreneuriat

Fréquence : 1 épisode/24j. Total Éps: 88

Fullstack HR is a podcast by HR professionals for HR professionals, hosted by Johannes Sundlo, an active HR manager shaping the future of work. We dive deep into the latest trends in HR, AI, and digital tools, offering insights from someone in the trenches daily. Whether you’re looking to future-proof your HR strategies or stay ahead of industry shifts, this podcast delivers actionable advice and expert perspectives to elevate your HR game.

www.fullstackhr.io

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🇫🇷 France - management
26/08/2026
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https://fullstackhr.io
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https://www.fullstackhr.io/
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https://www.fullstackhr.io/p/connectors-and-mcp-explained-for
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Still building the B-team

mardi 25 août 2026 • Durée 08:31

In May I argued that AI is a work tool, not a perk. Three months and a lot of client work later, the gap between the people who have it and the people who don't is not closing. It's growing, and most organizations are fuelling it without meaning to.In this episode:- Why well-intentioned license decisions end up splitting your workforce in two- The two cohorts living side by side in the same organization, one running fast with their own Claude and ChatGPT setups, one barely started- The mechanism behind it, licenses follow whoever is comfortable asking- Why one client is taking AI access to the union negotiating table, and why I think they're right- Equal opportunity has to include the tools, not just the loud and vocal- The real missing piece, nobody has defined why AI matters for this organization- Why leaders can't be strategic about AI without being practical with it firstLinks mentioned:- AI Is a Work Tool, Not a Perk → https://www.fullstackhr.io/p/ai-is-a-work-tool-not-a-perk

Subscribe to the FullStack HR newsletter → https://fullstackhr.io

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AI Transformation in HR: Redesigning Work Without Losing Human Judgement with Joe Shahmoradian

jeudi 20 août 2026 • Durée 27:04

First episode of the new interview series with people who do stuff with AI, not people who talk about AI. Joe Shahmoradian runs talent acquisition for EMEA at Morningstar, and everything in this episode is running in his team today.

In this episode:

How his team cut post-call admin by 75% with AI transcription on screening calls, and why the first tool got killed
Amira, the AI teammate that works like a journalist and turned five-day market intelligence reports into 90-minute video briefings
The AI clone Joe built before paternity leave, and what it did when he prompted it maliciously at 1 AM
Morningstar's playbook for adoption at scale, an AI Academy, a champions community that grew from 5 to nearly 200, and an idea hub with real ownership
What Joe would do in his first 90 days at a company starting from zero, and why governance comes before agents
Why the workforce of the future is humans and agents as teammates, and why the discourse needs more boldness

With Joe Shahmoradian, Director of Talent Acquisition EMEA at Morningstar.

Links mentioned:

Joe Shahmoradian on LinkedIn → https://www.linkedin.com/in/joeshahmoradian/
FullStack HR newsletter → https://fullstackhr.io

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AI Bubble or Not? Why Token Costs Aren't What You Think

jeudi 28 mai 2026 • Durée 10:56

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An 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 valuations

Links mentioned:- Rapid Response podcast, Andrew Macdonald (Uber COO) interview - Fortune coverage of the Uber AI budget story

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Do We in HR Need to Be More Technical?

mardi 26 mai 2026 • Durée 10:20

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.

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AI Is a Work Tool, Not a Perk

jeudi 21 mai 2026 • Durée 08:15

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 inequality
The hidden cultural risks of AI “elite groups”
Why the cost argument often falls apart under scrutiny
The chicken-and-egg problem of AI adoption
Shadow AI and the risks of unsupported tools
Why HR cannot leave this entirely to IT
How AI access is increasingly becoming a workplace infrastructure question, not an innovation experiment

This 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.

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4,000 People Fired for AI. I Have Thoughts.

lundi 2 mars 2026 • Durée 13:16

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.

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Would AI Be a Better Boss Than Yours?

mardi 20 janvier 2026 • Durée 12:49

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.

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From four weeks to 45 minutes.

mardi 6 janvier 2026 • Durée 11:25

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.

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Only 5 percent use AI in ways that change their job

lundi 17 novembre 2025 • Durée 11:15

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

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100,000 Hours Saved with AI - When AI Hits the Earnings Call

vendredi 7 novembre 2025 • Durée 12:06

Read the full article here and get all the links: fullstackhr.io

ROI 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.

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