Are neural networks destroying the professions of artists, copywriters and journalists?
This fear arose as early as the 1950s, when strong industrial development began. With the advent of the Internet and the availability of machine learning algorithms, this fear only began to increase. Neural networks began to decide who to give a bank loan, a discount in a store, what should be in the news feed and recommendations for watching movies. Today, every resident of million-plus cities encounters more than 1000 neural networks per month.

Why exactly artists, copywriters and journalists?
With the advent of diffusion approaches and the availability of weights for models on Transformers, soulless algorithms began to draw pictures, write books, music, and the other day Google generally taught how to create videos on a text request. In the basic understanding for a person, everything that can be automated or the neural network will spend less time doing the same work will lead to a complete replacement of professions. But is it?

Just look at what pictures Stable Diffusion and Midjourney can draw in just 1-30 minutes. Even in the TurboText_bot bot, in 1-3 seconds you can get news headlines, text rewrites, create the entire text, or even reviews and descriptions of products for marketplaces.

So, artists, copywriters and journalists are no longer needed and we need to learn new professions? Do not rush, I will explain further who needs to pack their bags, and who does not need to worry at all.
Whom will neural networks exactly replace?
This will affect only those who call themselves an artist, but repeat the styles and approaches to creativity from other artists. Who is used to repeating the same work day after day, writing the same text, replacing only a couple of words in it. Those. everyone who does not create something new, but plagiarizes, will be left without a job.

You can say that the neural network also learns from people and repeats their writing style, techniques in journalism and copywriting. But no, a person cannot absorb information from millions of texts from tens of thousands of authors. When reading, a person will find something according to his interests and try to repeat it. A soulless neural network, with a uniform distribution of topics in the training dataset, will not highlight “favorites”.
Neural networks – assistants for copywriters and journalists?
Definitely yes, good content authors will never be replaced by neural networks, no matter what unfounded ads marketing would create. But there is one condition: a person must study in tandem with modern technologies. I cannot say that the neural networks in each of the services on the Internet are useful for copywriters and journalists, because programmers do not always understand what copywriters and journalists need. Conventionally, they are techies who speak and write in the language of numbers, and the journalist is a humanist who rarely understands a techie.

In the last article, I specified that I have even more background as a journalist-philologist than in programming. Having been in the shoes of a journalist and a programmer, I can say with confidence that in the 21st century, only in a tandem of man and technology can you earn more money. “Martyshkin labor” depreciates, a person is capable of more than just paraphrasing the words in the text. It’s time to give this business to neural networks. For example, as it was implemented in the TurboText_bot bot and in the TurboText.pro service itself.
What kind of help from neural networks for artists?
Because I do NLP (natural language processing) and not CV (computer vision), I decided to ask my friends in web design how they use neural networks in practice. It turned out that most of them are looking for inspiration in the work of neural networks. When a designer “burns out”, neural networks throw new ideas for development. It is enough just to submit the text to the input in the request. Already, neural networks have been added to the popular Adobe Photoshop.

A familiar children’s book illustrator claimed to have tripled his income with Midjorney. He submits excerpts from the book and the neural network makes an illustration in 10 minutes, which took him more than 2 hours.
conclusions
One can argue for a long time whether neural networks will replace most professions. But the fact remains that everyone who keeps up with the trends does not even think about such problems. Moreover, their incomes are growing, and those who are used to not making efforts for self-development will face “killer neural networks” of professions. So use them as assistants and then your salary will grow, and the demand for you will never disappear.