Why AI adoption fails to deliver business value

Companies pour billions into artificial intelligence, yet most fail to turn that investment into measurable business value. Colleen Jones writes for Content Science Review that this disconnect, which she calls the “AI strategy gap,” separates organizations that merely adopt AI tools from those that transform how they create value. The numbers support her argument. MIT …

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AI context windows are much smaller than advertised, developer warns

AI companies advertise ever-larger context windows for their language models, but a developer argues that the usable portion is far smaller than the marketed figures suggest. Garrit Franke writes in his blog Garrit’s Notes that effective model performance begins to degrade around 100,000 tokens, regardless of whether the advertised limit is 200,000, one million, or …

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New EU law: Transparency obligations for AI content explained

Starting August 2, 2026, the transparency obligations of the EU AI Act will apply, and this of course affects you as a content professional, if you are based in the EU. However, various pieces of misinformation are circulating about this law. For instance, just the other day I saw the claim that soon, all AI-generated …

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Why AI fails at creative writing and how to deal with it

If you want to use a tool effectively, it is important to first understand its capabilities and limitations. AI is no different. I even find it exciting to learn more about these systems that are able to do so many things but also fail at other tasks completely. It is often less than obvious what …

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Gig workers train AI by having conversations with strangers

Thousands of gig workers are earning money by having recorded conversations with strangers. The recordings are then sold as training data to artificial intelligence companies. Issie Lapowsky reports for Bloomberg Businessweek that the work is emotionally demanding, technically strict and raises serious questions about privacy and the future of human labor. The platform at the …

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Why AI struggles to write well despite vast literary knowledge

Large language models can build apps, predict protein structures and generate realistic videos. But they consistently fail at one fundamental human skill: writing well. Jasmine Sun reports for The Atlantic that modern AI systems are structurally built in ways that actively work against good writing. And that is quite surprising: Today’s most powerful AI models …

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Six reasons to use more than one AI assistant

Lately, I’ve enjoyed the advantages of the multi-assistant lifestyle: Instead of deciding if I should subscribe to ChatGPT or to Gemini, I’ve been using both. Before, I’ve treated this like a monogamous relationship: You pick your partner and stick with them in good times and in bad times. But I came to the realization that …

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