HR-Generalist, Modern HRM, Leadership & Social Media

Leipzig, Sachsen
Joined March 2009
Peter M. Wald retweeted
Here are the areas where frontier AI is now superintelligent (exceeding human capability): - Applied expertise - Quantitative reasoning - Fluid reasoning - Knowledge - Language Soon enough, it will be across all these areas Source: @langdock
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Peter M. Wald retweeted
Wenn die Anziehungskraft wirkt: Wie ARBURG die passenden Talente in zwei Stufen auswählt blog.recrutainment.de/2026/1…
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Peter M. Wald retweeted
Was passiert, wenn KI und humanoide Roboter günstiger werden als menschliche Arbeit, Matthias Linke? #Podcast + #Buchverlosung 🎧 Hier hören und gewinnen: bit.ly/4qzTnoU
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Peter M. Wald retweeted
Die Keynote der #HREdge27 steht fest! Trust & Verification – Braucht Digitalisierung lokale Nähe? Ein Ausblick, worum es geht, jetzt im Recrutainment Videocast #16 mit Prof. Katharina Zweig blog.recrutainment.de/2026/0…
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Peter M. Wald retweeted
Konstanzer #KI-Studie 2026 : Verlangsamtes Wachstum der KI-Nutzung am Arbeitsplatz, aber nicht für alle Beschäftigte gleichermaßen - Ergebnisreport September 2026 kops.uni-konstanz.de/handle/…
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Bitte die 10 min anschauen...Historisches von 2019.
Replying to @benbawan
I'm not convinced that one can diagnose that as easily? My experience with big companies (from the inside) is that the value of what some in management regard as unnecessary bureaucracy often only becomes clear after that work was cut & the management layer moved on. Cost attribution is a bloody internal knife fight usually, so I'm not convinced published numbers allow the conclusions you'r drawing? Anyway: All "legacy" car makers imo struggle mainly w/ switching over to BEV ⬇️ @wilddueck on the topic a while back
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Peter M. Wald retweeted
Die Bundesagentur für Arbeit hat eine Übersicht zu Engpässen bei Berufen veröffentlicht: Interaktive #Statistik zu Engpassberufen und eine regionale Darstellung auf Länderebene, z. B. #Bayern oder #Sachsen web.arbeitsagentur.de/dxp/ma…
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Peter M. Wald retweeted
Die alternativen 68er und die verlorene Denkzentrale der Union @Bundeskanzler ichsagmal.com/die-alternativ…
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Peter M. Wald retweeted
Diese Studie ist jetzt wirklich Pflichtlektüre für alle im HR 👍 Die neue BCG/WFPMA-Studie „Creating People Advantage 2026“ Und drei Themen springen mir dabei besonders ins Auge: 👉 Talentmanagement & Nachfolgeplanung 👉 Kompetenzmanagement und Skills 👉 Performance Management
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Peter M. Wald retweeted
“Single owner, no committee. …If you ask a committee to look after your plants while you’re away, you’ll come back to dead plants.”
Avoiding hierarchy as you scale — 10 things that actually work: 1/ Don't have an office. Sit with the employees. 2/ Sit in customer support and take calls every couple of weeks. Multiple benefits! 3/ Publicly praise people who disagree with you on Slack or the wiki. 4/ Push for 15:1ish reporting ratios. Flat orgs move faster. 5/ Host quarterly dinners at your house with 8 people who don't report to you. Multiple benefits!! 6/ If you fly private, shut up about it. 7/ Bring non-direct-reports to offsites. 8/ Get good at assigning DRIs who can drive projects across org boundaries. Single owner, no committee. …If you ask a committee to look after your plants while youre away, you’ll come back to dead plants. 9/ Take hard questions at all-hands and don't spin. If you need to think on a tricky one, say so — then actually follow up on slavk, wiki, wherever. 10/ Publish your priorities publicly. Transparency kills hierarchy faster than any org redesign. Bonus/ Jensen is mostky right. Dirrct report 1:1’s should only last a short while. Criticizing (with care) and praising in public irks, but works.
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Peter M. Wald retweeted
Shrinking a desktop app for mobile never solved frontline software. Reworked Columnist David Barry shows how vendors are winning adoption instead through identity first design, coaching over surveillance and metrics tied to behavior, not logins. ow.ly/GCYe50Zw1LX
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Peter M. Wald retweeted
A KPMG study of 523 employees found AI skill did not predict who did the best work. Reworked Columnist Lance Haun breaks down the three types of AI users and why senior leaders may be the least supervised of all. ow.ly/T5Tl50ZwqW8
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Peter M. Wald retweeted
Most HR software was built for the person sitting three feet from HR. Never for the person on the floor, the site, or the overnight shift. In healthcare, manufacturing, construction, and retail, that person is the majority of the workforce — not the exception. This isn't a training problem. It's an access problem. Swipe through to see where the gap actually lives. See how Maya closes this gap for frontline teams → hrcloud.com/request-a-demo-o… #FrontlineWorkers #DesklessWorkforce #HRTech #EmployeeExperience
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Peter M. Wald retweeted
In a new article for @TrainingJournal Kotter’s @NickPetschek explores the human and cultural barriers that can quietly derail AI transformation. Read the full article: hubs.li/Q04qbzX40 #AI #TrainingJournal #JPMorgan #Kotter
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Peter M. Wald retweeted
After running the Top Tools for Learning survey for 20 years, it is now coming to an end. This year's survey closes on Thursday 27 August 2026, and the Final Top Tools for Learning list will be published on Monday 7 September 2026 toptools4learning.com/voting…
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Peter M. Wald retweeted
#Mitarbeiterbindung 2026: Heute erschienen!
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Peter M. Wald retweeted
Every company is trying to get better at prompt engineering. Better prompts, better outputs, better workflows, better AI agents. That matters, but it’s only half the conversation. The bigger leadership question is this: how do we get better thinking from the humans? As AI becomes more embedded in the way we work, one of the biggest risks is not that people will use it too much. It’s that human judgment will quietly go unused. Meetings get faster. Memos get cleaner. Strategy decks look more polished. But fewer people stop to ask: What did the AI miss? What did it get technically right but contextually wrong? What human experience, intuition, or moral judgment is being left out? That’s why I’ve been thinking about a concept I call Human Prompting. If prompt engineering is the art of getting better outputs from machines, Human Prompting is the art of getting better thinking from people. It means asking questions that activate the things AI cannot do: disagree when the room is wrong, use lived experience, make ethical judgments, tell the uncomfortable truth, bring real empathy, take ownership, and slow down when speed creates bad decisions. A few questions every leader should be asking in AI-enabled work: Where did you disagree with what AI produced? What did the AI get technically right but contextually wrong? What are we optimizing for that we actually shouldn’t be optimizing for? Who gets hurt if we’re wrong about this? What are we treating as an abstraction that is actually someone’s livelihood? What would a 20-year veteran know that the model would never know? AI will make organizations faster. That does not automatically make them wiser. The companies that win won’t simply be the ones with the best AI tools. Most organizations will have access to similar technology. The real advantage will belong to the companies that keep human judgment alive inside AI-powered decisions. This comes from a paid piece I published on Future Ready Leadership. Read full version here: greatleadership.substack.com…
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