ChatGPT will draw your presentation, but you'll be the one redoing it

The author of a Habr piece is a presentation specialist with four years of experience. He works at a government agency that handles special projects, takes freelance orders and teaches presentation craft to others. He described how neural networks changed his workflow from the first call with a client to the finished presentation file. His main conclusion, which also gives the article its title, "ChatGPT will draw your presentation, but you'll be the one redoing it": artificial intelligence has not replaced the profession entirely, but it has become part of almost every step, and the final polish still has to be done by hand.

How preparation for a new client has changed

• The author's experience in the profession: 4 years
• Main job: government agency, special projects
• Side work: freelance (commercial proposals, project presentations) and teaching
• Preparing to work with a client from an unfamiliar industry used to take a week
• The same preparation now takes one day

According to the author, when a client from an unfamiliar industry came to him, preparation could take a week. He had to learn the subject on his own, work out the specifics of the client's business, and decide what to show and in what order. Now the same preparation takes one day, thanks to neural networks.

They speed up the stage of getting into an unfamiliar field and let him build a basic understanding of the client's industry quickly, instead of spending days studying open sources and specialist materials. The author stresses that he works in three formats at once: as a staff specialist on government special projects, as a freelancer on commercial proposals and project presentations, and as a teacher training others in the craft. In all three roles, neural networks have fit into the process in roughly the same way.

Why doesn't ChatGPT eliminate the human's work?

The author states his key thesis directly: neural networks have not replaced his work entirely, but they have become part of almost every step, from the first conversation with the client to the final file. This matches how generative AI is generally used by professionals in adjacent creative and consulting fields. Language models speed up stages that require heavy reading and structuring: gathering information about the client's industry, drafting a presentation structure, generating first versions of slides and wording.

But final refinement, bringing the material into the right style of delivery and adapting it to a specific audience remain human tasks. That is why the article's title does not say "ChatGPT will make the presentation for you" but warns that you will have to redo the result yourself: the tool changes how time is distributed within the process, but it does not remove the need for professional expertise at the output.

What this means for the presentation services market

For clients who order presentations and for specialists in this market, the shift described changes what people actually pay for. Value moves away from rough slide assembly, the part of the work that a neural network can today genuinely take over and speed up considerably, toward expertise in bringing material to its final quality: understanding the audience, the dramaturgy of delivery, visual precision and the business sense that determines which information really matters to a specific client. The author's experience, in which AI tools cut a week of preparation to one day, shows that the speed of getting into a topic has multiplied.

Yet human refinement remains the stage that separates a presentation ready to show from a neural-network-generated draft, and clients continue to pay professionals for exactly this work.

It is also telling that the author shares this experience from three roles at once: staff specialist, freelancer and teacher. That lets him compare how the same tool behaves in different working contexts, from closed internal special projects at a government agency to open commercial orders and teaching newcomers the craft. This angle makes the piece more than a personal impression of one new tool. It is a practical cross-section of how the whole profession of presentation design is changing at the intersection of human expertise and the speed of generative AI.