Copywriting and Online Text – Evergreen Text is Always Human Made

Do you know why humans will stay superior to AI forever in terms of creativity? The reason is the brain itself.

Human context is dynamically re-weighted by new sensory inputs, memories, motivations, emotions, social cues, and subconscious drives, such as positive or negative experiences. All this results in unpredictable and experience-compressed cognition. This aligns with current neuroscience and psychological research. And it explains why a human suddenly laughs loud when the brain recognizes something amazing, blissful (not reasonable).

You can look at these exemplary concepts:

• "Edge of Chaos Theory": Cognitive and neural systems operate between order (predictability) and chaos (unpredictability). Creativity is maximized "at the edge of chaos," where brain network states are novel yet still connected to more ordered states, enabling both originality and usefulness – these are the key features of creativity.

• Neural Dynamics: The brain's nonlinear dynamics allow for self-organization and the emergence of large-scale patterns. Chaotic neural activity is not random but governed by precise rules, enabling the brain to generate new perceptual patterns and creative solutions rather than just filtering sensory input.

• Balance of Stability and Flexibility: Creative individuals show a balance between flexible (chaotic) and structured (ordered) properties in their semantic memory networks. This "controlled chaos" supports both originality (from flexibility) and appropriateness (from structure) in creative thought.

This is only one aspect of the limitation any AI system faces by design.

• Lack of Embodiment and Experience: LLMs process text data only and lack sensory, emotional, and embodied experiences that are central to human neural processing. Human cognition is grounded in real-world perception, motivation, and social interaction, which LLMs cannot access or simulate. That's why they may print remarkable connections between entities, attributes, and n-grams, but they cannot add any human touch.

There is also some biological evidence: studies of neural activity and behavior (e.g., trial-and-error problem-solving) suggest that controlled chaos in neural networks enables exploration of novel solutions, supporting adaptive and creative behaviors. LLMs and AI are rather trained on logical operations. Forcing them to a kind of "simulation of neural dynamics" produces randomness. In my experience.

So, the human "context window" is dynamic, experience-compressed, emotional, and unpredictable (controlled synaptic chaos), constantly re-weighted by new inputs, memories, motivations, emotions, social cues, and subconscious drives.

Even Google's algorithms can overlook some details, humans don't.

As an executive coach with a copywriting history, I am experienced in working with the emotional impact of language. This goes far beyond any semantic measurements and KPIs of a sentence or a "content piece".

Do you read in LinkedIn and Facebook the "fantastic" stories about saving money and time by making AI write text? People save time, indeed: They shorten the time until their domains become irrelevant.

Quite every day, people claim who they replace by AI when it is about writing sales copy and information for visitors of their websites.

Every time I read that, I see: One competitor less, or – in case of an agency – dozens of competitors less in a particular market.

Of course, it will take some time until all indexes are saturated with AI-assimilated stuff, but the time will definitely come soon.

So, stay tuned and be confident, if you are a copywriter. Use AI to research linguistic and semantic areas, search intent related n-grams, analyze mental and emotional associations to topics, filter and sort queries, but do not hit the Publish Button after having pasted "We-fired-our-writers"-content.

The stuff will tank. And it deserves to tank.

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