Blog
Writing about AI at work, GDPR in practice, and how European organisations get value from AI without losing control.
· By Rickard Eriksson
What's new from the EuroWork development team in weeks 32 and 33
A chat that reads your calendar and emails when you ask, presentations in your own graphic profile, an AI colleague that speaks up on its own, and 133 professions with answers to the question everyone googles.
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The nods around the meeting table, and what they actually mean
Tokens, RAG, hallucinations, shadow AI. Half the AI debate is conducted in a language most people haven’t learned. That’s why we’ve built a glossary explaining 25 AI terms so they can be retold in your own words, in 35 languages, open to everyone.
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America’s luddite summer: it’s not the technology people are saying no to
Cameras are covered with signs on long poles, data centres are blocked by angry town meetings, and Willie Nelson has joined the resistance. The Wall Street Journal calls it a luddite summer. But if you read the protests closely, they’re about something other than AI.
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Students are letting AI take their entire courses for them. The question is what your workplace can learn from that
AI agents log into learning platforms, watch lectures, write exams, and discuss with teachers, while the student does something else. The New York Times investigated the trend, and it’s about more than just schools.
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Clippy is back, and this time you can't turn him off
The cheerful paperclip from the nineties was put down in 2007 to general celebration. Now his successor is built into the operating system itself, with its own key on the keyboard. There’s a lesson here about the difference between AI you choose and AI you’re given.
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Without a shared path, you won’t get an AI strategy. You’ll get a hundred different ways to take a gamble
The hiring of AI-skilled people is growing eight times faster than the job market, and those who know AI earn 62 percent more. But the most important number isn’t in any report, it’s sitting in your own office.
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The ketchup bottle is shaken. Everything is about to come out
The AI transition looks slow, until it isn’t. Forecasters talk in years, but ketchup bottles don’t work like that. And anyone waiting for politics to catch up has chosen the wrong waiting room.
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Will you be replaced by AI?
Researchers have ranked hundreds of jobs by how exposed they are to AI. Actuaries and budget analysts top the list, dancers are at the bottom. But the list answers the wrong question, and the right one isn’t decided by your job but by your workplace.
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Middle managers are blocking AI progress. They often have good reasons
Leadership is enthusiastic, employees are already using AI on the sly, but adoption is painfully slow. The bottleneck sits in the middle of the organisation, and it won’t disappear with more enthusiasm. It disappears with better answers.
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AI doesn’t give superpowers to everyone. Just to those who know how
AI isn’t a replacement, it’s a multiplier: it amplifies what you already know. That creates a new gap in workplaces, and it’s growing every month. But the gap isn’t a law of nature.
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Thanks, but no thanks, USA
The question of who controls your data has moved from the IT department to the boardroom. Wanting to answer it isn’t anti-American. It’s risk management.
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Can AI stop scam emails? Yes. But not nearly as well as the headlines claim
Researchers had AI read thousands of scam emails. It caught two out of three, which is terrible for a bodyguard. The truly useful finding is about something else entirely, and it decides how you should use it.
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The receipt principle: AI that shows its working
We don’t believe in AI you have to trust. We believe in AI that shows its receipts: what the answer cost, where it was processed, which sources it stood on, and who approved it. Here’s the principle that guides everything we build.
Read the post →· By Linda Strandvik
From LunarStorm to EuroWork
In 1996, Rickard Eriksson built the meeting place that became the internet for a whole generation. Now he’s building a place where work AI questions can be asked without pasting contracts into a private account.
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What should I use AI for? Thirty answers from real workdays
The most common question in our courses isn’t how AI works, but what to use it for. Thirty concrete answers, each tested in EuroWork before being written down.
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Two out of a hundred and fifty guessed right
A small experiment at a table explains why AI conversations stall at work, even though everyone means well. And why we had to rewrite our own homepage.
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Updates from the EuroWork development team, week 31
New buttons where you already looked, meeting audio that can take hours, tasks that ask before they act, and the price before you hit send.
Read the post →· By Linda Strandvik
The founder on shadow AI: everyone’s doing it, no one’s talking about it
Rickard Eriksson built EuroWork because he was tired of the answer to every workplace AI question being either a no or a shrug. An interview about what actually happens when no one’s made a decision.
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Perplexity finds the answer. What happens next?
Perplexity is built for searching. A workplace also needs to work, share, and report. Here’s the difference.
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Claude writes the best. Is that enough for an organization?
Claude writes the best. But that is not enough for an organization that needs to account for how AI is used.
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Copilot is in Office. EuroWork is in your operations.
Copilot is in Office. EuroWork is in your operations. Here’s how they differ in practice for European organisations.
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Five questions to ask about your ChatGPT setup
Five questions to ask about your ChatGPT setup, and what EuroWork does differently for European businesses and public sector organisations.
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