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Reference
Schulz, C., Bendig, D., Bräunche, A. and Kindermann, B. (2025), Curse or Blessing: Investigating the Influence of Firms’ Artificial Intelligence Adoption on Employee Job Satisfaction. J. Manage. Stud.. https://doi.org/10.1111/joms.70004
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🎙️ Welcome to Revise and Resubmit — the podcast where research doesn’t just sit in PDFs, it crackles, hums, and walks right into your workday. 📚⚡
Today, let’s talk about a quiet revolution happening in your office… maybe even on your laptop. 🧠💻 First, AI came for the routine stuff. Then it came for the complex stuff. Now it’s standing right next to you at work — not as science fiction, but as a system, a dashboard, an algorithm that claims it can “help.”
Is that help a blessing… or a curse? 😈✨
Some days, AI feels like a superpower: fewer boring tasks, smarter tools, more time to think. Other days, it feels like a shadow at your desk, tracking clicks, timing keystrokes, quietly changing what your job even is. One moment you’re enriched, the next you feel replaced. One email from IT, and suddenly “how you work” has shifted again. 🔄
In today’s episode, we’re diving into a brand-new 2025 article that stares this tension right in the eye:
📝 “Curse or Blessing: Investigating the Influence of Firms’ Artificial Intelligence Adoption on Employee Job Satisfaction”
by Colin Schulz, David Bendig, Antonio Bräunche, and Bastian Kindermann.
Published in the Journal of Management Studies, one of the most prestigious management journals in the world and proudly part of the elite FT50 list, this paper doesn’t settle for easy answers. 🏛️🌟 Instead, it maps out how AI adoption bends and twists job satisfaction into an inverted U-shape:
Too little AI, and the promise of help never arrives.
Too much AI, and the job can feel monitored, fragmented, or hollowed out.
Somewhere in the middle lies a strange, fragile sweet spot. 🎯
But here’s where it gets even more interesting. The authors show that what your firm actually does — how exploratory it is, how seriously it takes data governance — can quietly tilt that curve. With the right exploration mindset, higher AI adoption doesn’t have to suffocate satisfaction; with thoughtful data governance, that steep curve can flatten, smoothing the emotional roller coaster of AI at work. 🎢
Grounded in Job Characteristics Theory, the study zooms in on what really changes inside your job: complexity, autonomy, the sense that your work is meaningful rather than mechanical. It doesn’t stop at numbers; it listens to real employees navigating real AI tools, in real firms over more than a decade. This is AI not as a buzzword, but as lived experience — promotion, pressure, possibility, and doubt, all at once. 🔍👥
So today, as we unpack this paper, we’re really asking:
When AI walks into your firm, does it enrich your work, erode it, or do a bit of both at different speeds?
🙏 Massive thanks to Colin Schulz, David Bendig, Antonio Bräunche, and Bastian Kindermann, and to the Society for the Advancement of Management Studies and John Wiley & Sons Ltd. for publishing this important study in the Journal of Management Studies (FT50) — a true heavyweight in the world of academic research.
🎧 If this is the kind of deep dive you love, don’t forget to subscribe to “Revise and Resubmit” on Spotify, and follow the YouTube channel “Weekend Researcher” for more story-driven journeys into top-tier scholarship. We’re also streaming on Amazon Prime Music and Apple Podcast, so you can take these ideas wherever you go. 🌍✨
So tell me… as AI grows inside your organization, is it quietly composing a better job for you — or slowly rewriting you out of the story? 🤖❓
