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Bertrand Duperrin

Do You Know If Your Team Is Overwhelmed?

"n a world where relentless demands and blurred boundaries have become the norm, overwhelm is no longer an occasional experience; it’s a defining feature of modern work. It’s easy to dismiss it as stress from an employee under pressure or mistake it for burnout. But it’s neither. Overwhelm is an exhausting—and often invisible—tipping point when the stressors you face begin to exceed your perceived ability to cope with them. Overwhelm can surge suddenly and unpredictably. When ignored, it becomes the gateway to exhaustion and future burnout. There are five actions leaders can take to reduce overwhelm and build healthier, more sustainable workplaces: 1) Spot both the silence and the strain; 2) engineer micro-control in a macro-uncertain world; 3) recalibrate standards—starting with your own; 4) create psychological permission to say “I’m at capacity”; and 5) design work for recovery, not endurance."

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  • Stress can be stimulating; when kept in check, it sharpens focus and fuels energy. Burnout is an outcome of unmanaged chronic stress that develops over time.
  • We conducted research with 94 working professionals to unpack the experience of overwhelm at work. Through narrative descriptions coupled with survey data, we captured how they describe it, what causes it, and the impact it has—on their thoughts, emotions, relationships, and work outcomes.

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Bertrand Duperrin

Des intranets collaboratifs aux environnements numériques de travail augmentés par l’IA - FredCavazza.net

" Microsoft dévoile ainsi une vision reposant sur une modélisation sémantique fine de l’entreprise (salariés, processus, informations, données, connaissances…) pour pouvoir créer de véritables jumeaux numériques."

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    • L’IA générative fait évoluer les systèmes d’informations traditionnels vers de véritables environnements numériques de travail intégrés, où les agents sont au cœur de la collaboration quotidienne ;
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    • La bataille ne se joue plus sur la puissance des modèles génératifs, mais sur leur intégration aux outils et habitudes de travail, ce qui donne un avantage décisif aux grands éditeurs déjà massivement déployés, Microsoft en tête ;
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    • Avec Copilot et son écosystème, Microsoft pousse le concept de « Frontier Firm » : des organisations reposant sur des équipes hybrides où collaborent des salariés et des agents intelligents ;
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    • L’offre de Microsoft s’enrichit de couches sémantiques qui visent à modéliser en profondeur les personnes, les processus, les données et les connaissances des entreprises afin de comprendre leur fonctionnement et limites ;
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    • Cette modélisation ouvre la voie à la création de jumeaux numériques des salariés, processus et même d’organisations entières, avec un niveau d’autonomie très élevé, ce qui impose de repenser en urgence nos pratiques et notre culture du travail.

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Ewen Le Borgne

Tending to Endings

Deck card dedicated to letting go

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Bertrand Duperrin

Why Are Teams Using AI Tools They Fundamentally Don't Trust? - DAVID NOWAK

"Something strange is unfolding across organizations right now—and the disconnect should concern anyone paying attention. AI implementation requests are everywhere. Automation projects, customer insight tools, content workflows. Budgets are approved. Roll-outs are happening. But ask whether teams actually trust these outputs, and the confidence drains from the room."

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  • omething most surface metrics completely miss: adoption does not equal belief. And that disconnect isn’t irrational—it’s arguably the most clear-eyed response to technology we’ve seen in a decade.
  • As of late 2025, 84% of developers are using AI coding tools daily. But only 33% trust their accuracy. More than that—45% report that debugging AI-generated code now takes longer than just starting from scratch.

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Bertrand Duperrin

IBM CEO Says the Math Just Doesn't Add Up on Its Competitors' AI Spending

""It’s my view that there’s no way you’re going to get a return on that.""

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  • OpenAI most recently committed to spending well over a trillion dollars before the end of the decade as it continues to burn oodles of cash each quarter, enormous losses that are having investors asking some hard questions.
  • Put simply, as IBM CEO Arvind Krishna told The Verge‘s editor-in-chief Nilay Patel during a recent episode of the “Decoder” podcast, the math isn’t adding up.

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Bertrand Duperrin

Thematic Research: DB CoTD: The largest start-up losses in history

"In honour of the three-year anniversary of ChatGPT’s launch, we’re running an AI-themed week on CoTD, using our AI tools to handle most of the heavy lifting for each edition. I’ll explain exactly how and where AI was used.

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  • OpenAI forecasts revenue of $345 billion between 2024 and 2029. Assuming this is all cash, we then calculate $488bn of spending, mainly to pay for access to compute, to arrive at their projected negative cumulative free cash flow of $143bn. And that was before the most recent announcements of $1.4 trillion in data centre commitments. A broker has more recently said the cash burn could exceed $200bn by 2030.
  • We added in OpenAI’s expected cash burn and also included its rival Anthropic, also using data from the Journal. I double-checked the historic numbers against Bloomberg data and they were broadly in line.

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Bertrand Duperrin

The Evolving COO Role in the Age of AI - Operations Council

"A COO’s main responsibilities include leading operations, executing strategies set by the CEO team, resource management, performance monitoring, and cross-functional collaboration. That will always be the job description. However, roles are evolving due to artificial intelligence."

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  • Resource Management

     

    • Predictive Analytics: AI analyzes historical and real-time data, allowing COOs to order supplies and manage inventory efficiently.
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    • Automated Scheduling: Once a pattern is established, COOs can automate ordering schedules and assign resources to align with projects.
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    • Real-Time Monitoring: The technology can monitor inventory and processes in real time, ensuring COOs are on top of delivery schedules and know when to place orders.
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    • Enhance Decision-Making: COOs can leverage artificial intelligence and analytics to make smarter operational decisions.
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    • Process Optimization: AI can identify work inefficiencies to ensure COOs develop the most effective processes. It also balances workflows evenly among teams, ensuring no one is overworked.

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Bertrand Duperrin

A Map for Agentic Transformation - by Jurgen Appelo

"How archetypes shape your path to agentic organizations

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  • But organizations aren’t gyms where more reps equal better results. They’re complex, contradictory beasts that laugh at neat progression models.

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Bertrand Duperrin

The Number of People Using AI at Work Is Suddenly Falling

"the demand for AI in the workplace seems to be drying up fast."

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  • the percentage of Americans using AI to “produce goods and services” at large companies rang in at a modest 11 percent in October, the latest available survey date
  • it’s suddenly moving in the wrong direction: the financial publication notes that the percentage is actually down from 12 percent in the prior survey, conducted two weeks previously.

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