Copywriting: The Truth About AI and Copywriting

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Artificial intelligence is changing copywriting for the better when it is used to reduce the time required to produce a first draft.

However, paradoxically, this increases the need for a human hand to review everything it generates.

Today, a copywriter or an entrepreneur who writes their own copy, can use AI to rapidly generate variations of virtually every element of a piece of copy, from headlines and subheads to calls to action.

This has effectively eliminated the blank-page problem, the terror of every novelist and advertising writer: that moment when you sit in front of an empty document knowing you need to write something but have no idea how to begin, how to structure your thoughts, or which direction to take.

AI has eliminated this problem because, within seconds, it can generate a starting point or turn a rough idea into a complete first draft, giving the writer something concrete to evaluate instead of forcing them to create everything from scratch.

The most significant effect of AI, however, is on the average quality of content.

AI makes it relatively easy to produce grammatically correct, plausible copy, so simply knowing how to "write well" becomes less of a differentiator.

Today, skills such as these are becoming increasingly valuable:

• Truly understanding the audience and its motivations.
• Finding a distinctive positioning and creative idea.
• Giving AI effective briefs and context.
• Recognizing and eliminating generic or interchangeable language.
• Maintaining a consistent brand voice.
• Verifying claims, data, and promises.
• Testing variations based on results, not just personal taste.

The professional role is changing as a result.

Copywriters are increasingly becoming editors, strategists, and creative directors of language.

For example, instead of spending a great deal of time writing ten variations of an ad, a copywriter can have AI generate fifty possibilities, discard the obvious ones, develop the three best ideas, and refine them based on the brand and the available data.

There are, however, important limitations.

AI models can invent information that sounds convincing but is strategically weak.

In addition, when many companies use similar tools with similar prompts, the result is a strong homogenization of copy, which is more or less what we see every day when, for example, we read informational blog posts.

For this reason, as I said earlier, the distinction will not be between human copywriting and AI copywriting, but between generic copywriting and copywriting driven by a strong strategy.

For the time being, AI will never be able to replace human work.

It will become increasingly effective at multiplying and transforming words, but understanding which message is worth communicating, to whom, and why remains the most valuable part of the job, and that will always have to be done by a human being.