Generative artificial intelligence (AI) promises to save time on writing texts, but in reality, it often turns into a trap that takes more resources than it gives. According to an OpenAI report, writing texts accounts for 24% of all interactions with ChatGPT — this is the most popular task among users. It makes sense: writing is hard, time is short, and here is a ready-made solution at hand. However, not everything is as rosy as it seems at first glance.
Before delegating the writing of a letter or report to algorithms once again, it's worth asking yourself four simple questions. The answers will help you understand whether AI will truly make your life easier or just transfer the problem from one plane to another.
Reason 1. Time-saving or illusion of help?
Using ChatGPT or similar tools does not free you from the need to write. It simply changes the genre of the work: instead of writing letters, presentations, or cover texts, you write prompts. And this is where it gets interesting — an effective prompt requires no less effort than the text itself.
A good prompt is not a single sentence, but an entire paragraph with clear instructions, context, and expectations. To get something truly usable from AI, you need to spend time formulating the request, then editing the result, and often going through several iterations of revisions. If you are an experienced author but a novice in working with artificial intelligence, congratulations: using AI may cost you more in time and nerves than writing the text yourself.
Reason 2. Work for colleagues as a gift
By delegating the writing of text to algorithms, you risk shifting your work onto the shoulders of those who will receive the result. Without proper control, AI generates what researchers call garbage — content that looks decent but upon closer inspection turns out to be meaningless fluff.
Your responsibility is to check the quality of the text before sending it. If there is no time for this, the next reader will spend it deciphering vague formulations and correcting errors. They will also expend nerves — and that is already your problem.
A study by BetterUp showed sobering results: 53% of recipients of low-quality AI-generated content feel irritation, 38% confusion, and 22% offense. The price of such an approach is not only the lost time of colleagues but also damaged relationships within the team. Shifting responsibility breeds resentment, and that is much more serious than any missed deadlines.
Reason 3. Memory and depth of understanding
In the frantic pace of workdays, the ability of AI to instantly create drafts, summarize meetings, and highlight key points seems like a salvation. If you are preparing a brief summary of a routine meeting for absent colleagues, why not take advantage of algorithms? Your task is simply to document the information, and here AI really speeds up the process.
But if you have returned from a conference where you learned about a breakthrough technology that will change your industry, and now you must convey this knowledge to your team — it's worth considering. Research shows significant neurophysiological benefits of writing on your own, especially by hand. This process activates numerous areas of the brain responsible for motor control, sensory perception, and cognitive processing of information. The result is a deeper understanding and better retention of the material.
The slowness of writing is not a drawback but its strength. It provides cognitive benefits. Before assigning a task to AI, ask yourself: is the speed worth what you might lose? Perhaps it is. Or maybe you are missing something important by taking the shortcut.
Reason 4. Privacy does not tolerate negligence
Be careful when entering confidential or original texts into artificial intelligence tools. ChatGPT, Claude, Copilot, and other platforms learn from the data you provide. Yes, you can change privacy settings to ensure information is not saved, but many users are unaware of this option or forget to activate it.
Some companies have strict AI usage policies that clearly define what data can and cannot be uploaded to algorithms. Others have developed their own internal tools trained on relevant corporate datasets, where information remains within the system.
When you are working independently and cannot rely on corporate rules, the risk assessment falls on your shoulders. Many authors, for example, include clauses in contracts and books prohibiting the use of their texts for training AI. If you create original content and then upload it to algorithms for editing or style adjustment, study the consequences and set reasonable boundaries for use.
AI Opinion
From the perspective of technological evolution, the discussion about the feasibility of using AI for texts resembles debates around the emergence of calculators in the 1970s: mathematicians then feared that students would unlearn how to calculate in their heads. History has shown that the tool did not replace the skill but changed its application. Mathematics moved from routine calculations to solving complex problems. The same may happen with texts: instead of struggling with formatting letters, authors will focus on communication strategy and creative tasks.
The paradox is that the very skill of formulating effective prompts is becoming a new type of writing — more structured and precise. Those very "paragraphs of instructions" mentioned in the article are already text that requires clarity of thought and understanding of the target audience. The question is not whether to use AI or not, but how quickly professionals will adapt this skill and where the line is drawn between automating routine tasks and losing expertise.
