97 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.
The short answer: by being able to say, at any moment, what each agent does, which model it runs on, which data it works with and since when. If you don't know that, you can't call an agent safe, however good the technology around it is. You capture that overview in a passport per agent, which you update with every change and review every quarter. Below is how that works and why it is more than paperwork.
Read the article
Intelligent AI agents need a reliable data foundation. Identity resolution, Customer 360, data orchestration and governance: from a single source of truth to a system of context.
Read the article
Top brain, workhorse or sprinter? Choose the right AI model for each task and balance quality, speed and cost with smart AI-agent orchestration.
Read the article
AI can accelerate archive research, but it can also invent missing facts convincingly. How to combine the right model, strict instructions and critical verification for reliable genealogy research.
Read the article
GPUs do the model math, CPUs keep the rest of the agent running. Why agentic AI shifts the view of data centers, and what that means for Intel, AMD and organizations deploying agents.
Read the article
What are open weights and closed-source AI models? Discover the differences and the consequences for costs, privacy, data centers and the AI market.
Read the article
On EditieNL I discussed whether AI could threaten humanity. About Anthropic researcher Evan Hubinger, agentic AI, the black box, and why we are building faster than we understand.
Read the article
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.
Read the article
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.
Read the article
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.
Read the article
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.
Read the article
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.
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.