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Jobs and work: all our articles

All 34 Alyriaz articles on the “Jobs and work” topic: news, analysis and explainers, newest first. To stay up to date, you can get an alert as soon as a new article on this topic is published.

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  1. · Vision

    If AI does the work, what is merit worth?

    Merit rests on the idea that a result testifies to effort. When the tool removes the effort, the notion wavers. We explore what becomes of evaluating people, at school as at work.
  2. · Vision

    An AI store manager recommends firing an employee: the question it raises

    An AI system managing a store recommended the dismissal of a human employee, after being prompted to do so. We analyse what this episode reveals about delegating decisions concerning people.
  3. · Society

    AI in recruitment: generated applications, CVs sorted by machine

    AI has transformed recruitment on both sides: candidates submit more applications, companies filter more automatically. We analyse this escalation and what it produces.
  4. · Vision

    What do we lose when we save time?

    Time savings are the main argument for AI. We examine what these savings actually displace, why the freed-up time almost never becomes free time, and what disappears along with certain efforts.
  5. · Explainers

    Seven everyday uses of AI that genuinely make a difference

    Far from the talk of revolution, here are seven concrete uses of AI where the time saved is real and verifiable, and three situations where it's better not to use it. A practical article, without jargon.
  6. · Vision

    The jobs AI won't replace, and they're not the ones you'd think

    The question of which jobs will survive automation is poorly framed when it pits manual against intellectual work. We propose three more useful criteria for assessing an activity's real exposure, drawing on available data.
  7. · Society

    Allianz cuts 1,800 jobs due to AI, and does it the European way

    Allianz Partners is set to cut between 1,500 and 1,800 jobs in Europe due to the rollout of AI, following six months of negotiations with employee representatives. We analyse why the insurance sector is particularly exposed, and how the European approach differs from US redundancy plans.
  8. · Society

    Google analysed 15 million conversations with its AI: usage is everywhere, but remains surprisingly superficial

    Google published its ATLAS study on 23 July 2026, built on 15 million human-AI interactions across 150 countries and 800 occupations. The findings contradict the dominant narrative: adoption is very widespread but very shallow, and fewer than 10% of interactions actually automate a task. We break down the figures and their limitations.
  9. · Vision

    Do we still need to learn to code in 2026?

    AI models now write professional-grade code and top certain rankings ahead of the best closed models. Does that mean learning to program is no longer worth it? We honestly examine both sides, and explain why the real question isn't whether to learn, but what to learn.
  10. · Explainers

    What is "prompt engineering"? The art of talking to AIs properly, and why it changes everything

    Prompt engineering is the art of phrasing a request to get the best out of an AI. We explain why the same AI can deliver a mediocre or excellent result depending on the question, and we share the practical principles for talking to models effectively, without being technical.
  11. · Society

    Meta lays off 8,000 people and rehires for AI: the brutal face of the great workplace replacement

    Meta has begun laying off around 8,000 employees, 10% of its workforce, citing efficiency gains enabled by AI, while reassigning 7,000 people to its AI teams. We analyse this move, what it reveals about the transformation of work, and why the narrative of replacement is more complex than it seems.
  12. · Vision

    What if AI finally forced us to answer a question we have avoided for 200 years: what is work for?

    Throughout human history, work has almost always been synonymous with survival. With AI, that link is starting to break. For the first time, we can imagine a society in which humans no longer work in order to live. What seemed utopian is becoming conceivable. And suddenly, a dizzying question resurfaces: if we no longer have to work, what do we want to do with our lives?
  13. · Society

    The ghost workers of AI: who really pays the price of ChatGPT

    Every time ChatGPT answers you without showing you shocking images, it is because someone, somewhere in Nairobi or Manila, has spent their day looking at those images to train the filter. Paid less than 2 dollars an hour. This is the invisible-labour industry that makes AI possible.
  14. · Applications

    Claude Code: Your terminal gets smart

    Where Antigravity offers a rich visual interface, Claude Code opts for the purist philosophy: everything happens in text mode, invisible but ultra-efficient.

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