AI can create content. But only humans have something to say.
AI is a powerful tool for those of us who work in communication. Used the wrong way, though, it risks becoming a shortcut around thinking rather than a way to sharpen it. That's why it matters to draw a line between AI content and intelligent content.
Philosopher Åsa Wikforss wrote in a DN article (14 June 2026) about what happens to human thinking when machines start solving our problems for us. She describes the risk of "cognitive surrender" – the gradual loss of our ability to analyze, understand and learn for ourselves as AI takes over more of the thinking. She also points to "false mastery": the illusion that we've mastered something simply because AI helped us produce an answer. We believe we understand. In reality, we're getting by on crutches.
These are serious warning signs. But they also raise a question just as critical for those of us working in communication and content: if AI shouldn't replace thinking, how should we use it?
AI has made content production easy.
A few lines in a prompt are enough for ten LinkedIn posts, five campaigns and a finished presentation. Production volume has, in practice, stopped being a constraint.
But are we actually producing more value and understanding? Or just more noise?
Most B2B companies already sit on vast amounts of knowledge and content: articles, videos, meeting notes, posts, webinars, and more. There's no shortage of formats or channels. What's often missing is a shared understanding of the customer. The knowledge locked in customer dialogues, audience behavior and fresh perspectives goes largely untapped. Without it, relevant patterns are hard to see – and there's no way to be sure that what gets produced actually ties back to business goals.
Three ways to use AI.
Today, three distinct approaches to using AI stand out:
AI as a shortcut: "Do the strategy for me"
Here, thinking is outsourced entirely – from analysis to conclusion. You get by on crutches and call it competence. Sooner or later, though, you'll face a question the crutches can't answer.
AI as a production machine: "Create ten posts and five campaigns by next week"
This way of working is efficient, no question. But without human analysis behind it, it turns shallow fast. More volume, more channels – and a little more generic each time.
AI as a thinking partner: "Help us gather customer insights, spot patterns and test hypotheses – so we can make better choices together"
Real value only emerges with this approach – when AI doesn't think for us but helps us think better together. It's also the point where we can stop producing AI content and start creating intelligent content.
What is intelligent content?
Intelligent content is content built on real customer insight, human expertise and business understanding – where AI is used to find patterns, create structure and scale the knowledge.
Put simply: ordinary AI content optimizes for volume, while intelligent content optimizes for understanding, on both sides – sender and receiver. The former is measured in posts published. The latter in how well a customer actually understands, trusts and ultimately chooses a company.
Cognitive rearmament, not surrender.
Cognitive surrender means handing thinking over to the machine. Intelligent content is the opposite: using AI deliberately to strengthen it.
By letting AI help gather, structure and find patterns in customer insights and dialogues, time and capacity are freed up for what actually requires human judgment – interpreting, weighing and drawing the right conclusions. Not less thinking, then. More. Just directed, at the right level, at the right moment.
Wikforss closes her piece with a twist on philosopher René Descartes' famous maxim: "Perhaps we think, perhaps we exist." One way to meet that uncertainty in communication is to make thinking a deliberate part of how we work with content – rather than switching on AI and hoping for the best.
That's where intelligent content points. Toward more human thinking. Strengthened by AI.
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