Do video editing and motion design jobs have a future, or will neural networks soon displace humans?

Artificial intelligence is not always effective for creating trailers
Automated editing is impossible for cinema
Neural networks will take jobs from editors and motion designers
It is impossible to compete with machines
AI is just a convenient auxiliary tool
The future of neural networks in the video industry

Learn: Profession Producer Video

Neural networks are capable of creating viral videos in minutes using just a few prompts. Their influence on audiences continues to grow rapidly. This rapid growth in technology has had a significant impact on the industry, changing approaches to content creation and interaction with viewers. As a result, video producers are increasingly turning to neural networks to improve the efficiency and creativity of their projects.

Modern services like Vidyo greatly simplify the video editing process, allowing users to create content with one click. Platforms like Synthetik, Rokoko, and WarpFusion offer effective solutions for motion design and animation. Now, even those without experience in the film industry can easily create high-quality videos with professional voiceover, music, and editing. These tools open up new possibilities for creative projects, making the video creation process accessible to a wider audience.

Neural networks open up wide possibilities in the field of automatic video editing. Artificial intelligence effectively performs tasks such as "finishing" details, changing backgrounds, and applying various special effects and filters. With AI, you can create smooth transitions between frames and animations for characters or objects. These technologies significantly simplify the video production process and enable the achievement of a high-quality final product.

You don't have to be an experienced trailer maker or editor to successfully combine two of this summer's biggest film premieres: "Barbie" and "Oppenheimer." These films captured audiences' attention with their unique plots and style, and their combination became a true cultural event. Creating a trailer that combines these two films requires only a creative approach and an understanding of their core themes.

Artificial intelligence is actively used in the film industry, where neural networks can quickly combine video fragments, identify the best shots, and remove duplicates or unsuccessful takes. However, such widespread use of AI raises a number of concerns related to the possible displacement of specialists in this field. The opinions of the professionals we spoke with range from optimistic to cautious. They discuss how technology can change the filmmaking process and what role people will play in this new reality.

Artificial intelligence is not always effective for creating trailers

Interview conducted by Vladimir Khodakovsky. During the conversation, we discussed key issues related to current topics and trends. Participants shared their opinions and perspectives on the developments, which allowed for a deeper understanding of the situation and the identification of important aspects. We touched upon not only current problems, but also possible solutions, making this interview a valuable source of information for all interested parties.

Trailer maker and creative producer, founder of the trailer house Trailer Cola, who is known for his work on projects "Chicks," "The Secret of the Dragon Seal," "Witnesses," and "About Love." He has been nominated for four prestigious Hollywood Golden Trailer Awards. He is the curator of the "Trailer Editing" course at the Moscow Film School, where he teaches students the basics of trailer creation and develops skills in this field.

Neural networks significantly simplify processes in many areas, including trailer editing. I use the VocalRemover neural network, which effectively separates voice lines from the music. This significantly optimizes workflows and saves time. There are also neural networks capable of improving video quality and performing mastering. Artificial intelligence can also assist in music search, a long and complex stage of trailer creation. A neural network can automatically select interesting shots, leaving the editor to focus on final assembly and artistic design.

A neural network is an effective auxiliary tool, but it cannot completely replace the product creation process. Despite its capabilities for automation and data analysis, neural networks require human involvement to achieve the best results. The full product development cycle involves creativity, strategic planning, and critical thinking, which cannot be fully delegated to artificial intelligence. Thus, neural networks can significantly simplify some stages, but they cannot replace the necessary human interaction and creativity.

The industry is unlikely to face collapse due to new opportunities, but will instead undergo significant changes. All professions, including designers, will remain in demand. These changes can lead to new forms of collaboration and creative expression, allowing professionals to adapt and thrive in the new environment.

Artificial intelligence is significantly changing the stock image market used by designers. Despite this, humans still play a key role in the creative process. AI technologies can generate images and suggest ideas, but human attention to detail and creativity remain indispensable. It is important to understand that AI serves as a tool that can enhance the efficiency of designers, but it does not replace their unique vision and artistic approach.

Editing with text can significantly simplify the video production process at certain stages. However, the final decision on whether a shot is suitable or not remains with humans. For example, if the text states, "A man with a gun shoots," the actual shooting and execution may differ greatly from this description. A neural network is unable to independently select the necessary frames, which emphasizes the importance of human involvement in the editing process. Human insight and intuition play a key role in creating high-quality video content, where every detail matters.

The essence of neural networks lies in their ability to replicate existing content, including trailers. Currently, artificial intelligence cannot completely replace humans in creative professions, as it lacks the ability to generate new ideas and set trends. This is a fundamental requirement in any creative activity. Neural networks can effectively analyze and reproduce existing samples, but generating original content and innovative solutions requires human creativity.

The quality of artificial intelligence continues to improve. In the future, when we can create videos indistinguishable from modern high-quality filmmaking, humans will strive for more creative and interesting approaches to filming than neural networks. The potential for improving visual content in cinema is limitless. With each new advancement in AI, filmmakers will develop unique ideas that will allow them to stand out from automated solutions. This creates new opportunities for creativity and innovation in an industry where image quality and originality of ideas remain crucial factors for success.

If a neural network can create movie trailers that meet producers' requirements, I will consider this a true technological achievement.

Automatic editing is not possible for cinema

Editor of Russian films, such as Films like "Prisoner of the Caucasus," "Driver for Vera," "Antikiller," and "Gloss" play a key role in the creation of cinema. Editing is an integral part of the filmmaking process, enabling the creation of dynamic and emotionally charged stories. A professional editor works to connect scenes, create rhythm, and focus the viewer's attention on key plot points. Thanks to the editor's skill, films acquire a complete and engaging feel, making them memorable for audiences. When working with a script, it is necessary to carefully study it and analyze the dramaturgy of each scene to identify key moments. It is important to conduct a process of cutting within each scene to maintain momentum and interest. Often, the editor plays a decisive role in the final result of a film. For example, a director may shoot a lot of footage and assemble it according to the script, but it is the editor who can identify moments that may seem boring. It can also recognize multiple parallel actions that may not be connected in the viewer's perception, and decide how best to present them to maintain visual interest and emotional engagement.

I have never seen a film in my life that adhered exactly to its script.

Editing is a creative process that requires not only technical skill but also artistic flair. Artificial intelligence can effectively process material according to a predetermined script, but its application on the set goes beyond purely mechanical tasks. During the filming process, the editor participates in a collaborative process, taking into account many nuances. Artificial intelligence cannot independently determine the rhythm, choose the most successful shots, or evaluate the quality of acting. The question remains: how will AI cope with these complex tasks in the future?

The director chooses a take he likes, and that is what we use as a basis. Then I can insert a line from another take, and after that, someone else reviews the work, and everything can change again. This process is a constant dialogue between participants. It's unlikely that a neural network will be able to create a montage that satisfies everyone on the first try. The human approach to editing is based on intuition and creative interaction, which makes it unique and difficult to automate.

Electronic editing was a real breakthrough in video production, offering significant time savings. It opened up new possibilities, allowing for the rapid evaluation of various options and changes. At the time, there was no concern that a computer would completely replace humans, since every process always relies on a creative approach and specialist oversight.

A producer and many other specialists involved in the filmmaking process often sit alongside the director. There were opponents of electronic editing, who refused to embrace new technologies due to their reluctance to retrain. However, they eventually had to adapt to modern working methods, as electronic editing became the standard in the industry.

Neural network will take jobs from editors and motion designers

Creative Director and founder of Raketamedia, a company specializing in multimedia content creation for various events, such as the Vancouver and Sochi Olympic Games, Eurovision, music awards, and the Scarlet Sails festival. He is a TEFI award winner and a member of the Motion Design Awards jury, confirming his high level of professionalism and creativity in the field of multimedia design.

Currently, like many others, we actively use neural networks to generate initial concepts and explore visual ideas. We also apply these models for rotoscoping, rescaling, and denoising. Importantly, these methods have already become industry standard. Neural networks help speed up the development process and improve the quality of visual content, making them an essential tool in modern creative processes.

The future will see the full adoption of content generation technologies, including films, cartoons, and other products. Professions such as illustrators, designers, and digital artists will face a process of "commodification," which is already being observed in the music industry amid the rise of music streaming platforms. This change affects not only creative professions but also the entire entertainment industry, where automation and artificial intelligence are becoming increasingly prevalent. As a result, traditional approaches to content creation may change, leading to new challenges and opportunities for professionals in this field.

Commodification is the process by which a unique product becomes a standard commodity, losing its individuality and quality. This phenomenon occurs as a result of increased production volumes, which leads to a decrease in the value of a product's unique characteristics. Under commodification, consumers begin to perceive products as interchangeable, which negatively affects brands seeking to stand out in the market. Understanding commodification is important for companies to adapt their strategies and remain competitive.

Neural networks demonstrate impressive results, sometimes outperforming the work of living people. However, our industry still requires human intervention, since multimedia content has a complex structure that is difficult to fully automate using neural networks. An important aspect is the ability to formulate the right prompts for effective content generation, which can significantly improve the quality of the results.

Neural networks are radically transforming the landscape of creative professions. Every day it becomes clear that millions of "digital artists and musicians" may face the threat of job loss. Automation and artificial intelligence have already begun to influence the content creation process, causing significant changes in the industry. This raises questions about the future of creativity and the role of humans in it. Neural networks can perform tasks that were previously considered exclusively human, which poses new challenges and opportunities for society.

Neural networks will become a kind of "forest cleaner" in modern business, eliminating from the market companies and specialists who are not striving for development and do not show sufficient commitment to their work. As a result, ordinary workers may face the threat of job loss, as automation and artificial intelligence take over their positions.

Creative thinkers have every chance of success and career advancement. Also, those who actively develop their skills and delve into the fundamental principles of their profession are able to remain in demand in the labor market. It is important not only to generate new ideas but also to constantly improve their knowledge and skills.

The bulk of the work of both editors and motion designers involves interacting with clients, directors, and producers. The question of how artificial intelligence can effectively work in constant interaction with a large number of people and achieve the desired results remains open. Current iterations offered by chatbots and image generators do not always improve the final result and are often unable to accurately interpret the requirements of higher-level specialists. Given these aspects, it is important to understand that creativity and human perception remain key factors in the process of creating high-quality content.

We are on the threshold of a new era of digital art, and our generation of artists with unique names may be the last. Over the next 10-20 years, the number of artists and designers working manually will likely decrease to a few, forming an elite community. Artificial intelligence will likely take over the bulk of content creation. This change opens new horizons, but also raises questions about the role of humans in art and the meaning of individuality in the age of automation.

Content recognition services can act as "experts," which in turn affects the cost of the work of "real" artists, musicians, and other content creators. This may maintain interest in human services in the creative field. Works created by humans will likely be valued higher than those created by neural networks. However, this is unlikely to have a significant impact on the mass market, where automation continues to gain popularity.

It is impossible to compete with machines

Director, Art director and motion designer, previously creative director at MTV Russia. He has extensive experience creating visual content and developing creative concepts for various media formats. He specializes in integrating modern technologies into artistic expression, enabling the creation of unique and memorable projects.

I doubt that machines will be able to create art in the full sense of the word. However, in the field of design, they have impressive capabilities. Competing with them in this area is virtually impossible. Midjourney, for example, generates recognizable images and also allows you to use your own drawings as prompts, opening up new horizons for creativity. The img2img function allows you to transform and enhance existing images, making the process of creating unique content more accessible and engaging.

Modern neural networks significantly expand the possibilities for meeting customer needs. In this regard, humans have limited opportunities to compete. Neural technologies can effectively analyze data, generate content, and optimize processes, making them indispensable in various fields. Thus, the integration of neural networks into business processes creates new standards of service quality and speed, which puts humans in a difficult position. It is important to adapt to these changes and find ways to collaborate with new technologies to remain relevant in the market.

Neural networks will take center stage in graphics creation, leading to the disappearance of traditional professions in this field. With the rapid development of artificial intelligence, it is difficult to imagine a field where humans can compete with AI and demonstrate higher quality work. Artificial intelligence is already demonstrating impressive results in image generation and design, calling into question the need for human participation in these processes.

Artificial intelligence already diagnoses, drives cars, creates art, and performs management functions with high efficiency. In the future, we will likely offer not just our professional skills, but unique human qualities and abilities that cannot be replicated by machines. This underscores the importance of developing emotional intelligence, creativity, and interpersonal skills, which will remain within our purview even in the AI era.

Here we face an important question: "What makes humans unique? And what roles will remain for humans if artificial intelligence takes over all jobs?"

Modern designers and artists should consider retraining. Photographers may also find it difficult to find photography assignments in a rapidly changing market. This creates challenges for professionals in these fields, and their future requires adapting to new realities.

Getting the desired result can be challenging. It can depend both on the capabilities of the artificial intelligence and the user's skills in setting it up and using it. Effective interaction with AI requires an understanding of its algorithms and functions, which allows for better results.

From a filmmaking perspective, the results generated by neural networks are often not of the required quality for viewing. However, when a human is involved in the process, using a neural network during the script and concept development stage, the end result becomes significantly better and more appealing to viewers. The synergy between human creativity and artificial intelligence algorithms can lead to interesting and innovative films that can attract audiences.

AI is just a convenient auxiliary tool

Editors of Russian series such as "Trace," "Time Border," "Witnesses," and "The Fortune Teller" play a key role in creating high-quality content. By editing footage, they shape the plot, emphasize emotions, and create a narrative rhythm, making them indispensable in the production process. Each project requires a unique approach and creativity to maximize the script's potential and engage viewers. Professional editing can transform ordinary scenes into memorable moments, making the editor's work a crucial aspect of a successful series.

Artificial intelligence lacks emotions and feelings, limiting its ability to convey the full range of experiences through editing. The question of whether AI can be taught human feelings remains open. While AI can assist in the editing process by creating preliminary versions, final editing is still required by humans. Thus, interaction between humans and AI will be a collaborative effort, where the human role remains indispensable.

Creating a fully-fledged, emotional film is impossible without human participation. Even the simplest children's cartoon, which can be handled by artificial intelligence, must contain a specific idea or message. Human creativity and emotional depth are key elements that give works uniqueness and meaning. Without these aspects, even well-animated content can lose its appeal and fail to resonate with the viewer.

The Future of Neural Networks in the Video Industry

Creating streaming content, such as recipe reels and TikTok vacation videos, is already possible thanks to the modern capabilities of neural networks, and this functionality will continue to evolve. Simple editing, which any social media user can handle on a smartphone, is best entrusted to artificial intelligence to save time and resources. Many of our experts support this point of view.

Some experts predict adverse changes in the labor market as a result of the introduction of artificial intelligence. AI is expected to lead to job losses, devaluing human labor and making some professions unnecessary. This highlights the need for workers to adapt to new conditions and changes in professional skills to remain competitive in the labor market.

The situation remains tense: in May, a large-scale strike by the Writers Guild in the United States began, joined by various unions. The strikers are demanding regulation of the use of artificial intelligence. They insist on a ban on the use of AI for writing or rewriting literary works and its use as a source material. Issues related to AI are becoming increasingly relevant in the industry, highlighting the importance of protecting copyright and the creative process.

A new sitcom, "The Sidorovs," is preparing for its premiere in Russia; the script was created using neural network technologies. This neural network was trained using popular sitcoms such as "Voronins," "Rodkom," and "The Eighties." This innovative approach to scriptwriting promises a fresh take on the genre, combining elements of classic comedy with contemporary television trends. The sitcom "Sidorovs" could be an interesting experiment that will attract the attention of not only viewers but also industry professionals.

Employment issues caused by the active implementation of artificial intelligence may also affect specialists in the Russian film industry, just as they are affecting their American counterparts. The use of AI in film production and post-production could lead to changes in the employment structure and professions in this field. Professionals must be prepared to adapt their skills and master new technologies to remain competitive in the labor market.

Learn more about design by subscribing to our Telegram channel. We share current news, interesting ideas, and useful design tips. Join our community and dive into the exciting world of creativity and aesthetics.