90 analyses by Job van den Berg on AI agents, agentic commerce and the practice of AI inside organisations. Written from hands-on experience, not from a trend report.
A simple AI video already costs about 4 litres of water and as much electricity as a 10-watt LED lamp burning for 42 hours. What happens with full films and commercials, and why digital is not automatically sustainable.
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AI keeps getting better, yet workplace sentiment about AI is deteriorating. Research shows why adoption is as much a social challenge as a technological one: from the Matthew effect to psychological safety.
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Human in the loop sounds reassuring. But researchers warn that prolonged use of autonomous AI systems can undermine the cognitive capacities of the very supervisors we depend on. The question is not whether a human is formally present, but whether that human can still meaningfully intervene.
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Agents do not just answer, they act, and every action costs compute at that moment. Why in-the-moment compute may become a household utility, and who could deliver it.
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Counting Cybertrucks from the back seat isn't representative research. But it's a perfect example of how statistics, logical thinking and AI come together: observe, formulate hypotheses, and above all, try to disprove them.
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After half a year back in Silicon Valley, one thing stands out: the conversation is shifting from 'what can AI do?' to 'how do we really build on it?'. Billboards about safe AI, control, and infrastructure indicate a new theme.
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Hallucinations can be checked. Much more difficult is a line of reasoning that sounds logical, is partly supported by research, yet goes further than the evidence allows. On generational differences, statistics, and methodological caution as an AI skill.
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The promise of AI agents is zero friction, ease first. But it was precisely in that friction that the contact which forges our social capital always arose. An essay on connection, technology and the default setting.
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Answers are more accessible than ever. The real skill will not be formulating the question, but opening the hatch under the hood.
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Everyone is still fumbling with AI. That's precisely why cohesion becomes more important than individual expertise: experimenting together, evaluating knowledge, and taking collective responsibility.
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I gave an explanation on EditieNL about the rainbow camouflage shirt against facial recognition. How does a simple shirt confuse an advanced AI system, and how long does that trick last?
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A new AI tool every week. That race is unwinnable. What does work: documenting your own ways of working as skills, tool-independent and directly usable by AI agents.
Read the articleFrom board meeting to 2,000-person conference, Job translates AI into concrete actions for your industry. 150+ keynotes per year, 8.4+ rated by 350+ organisations.