Artificial intelligence in video production

Where has artificial intelligence come into video production?

Artificial intelligence has not appeared in video production suddenly; rather, its development has progressed gradually alongside other digital innovations. Looking at the change over the last two decades, we see a clear arc toward the present situation where artificial intelligence in video production is already commonplace.

The first steps – automatic organization and recognition

In the early 2000s, AI-based algorithms could primarily organize material and recognize individual patterns. They were used, for example, in archiving software, but their impact on actual video production was still minimal.

Speech recognition and subtitles

In the 2010s, development took a leap when speech recognition and automatic subtitles became part of editing software. This particularly accelerated the processing of interviews and documentary videos. For many companies, this was the first encounter with artificial intelligence as part of their own corporate video.

Generative AI and the 2020s

In the 2020s, artificial intelligence does not just recognize or organize – it can also create new content. Generative AI can produce images, animations, and even complete video scenes based on text descriptions. This development has also impacted animation and 3D animation, where AI is utilized for the rapid production of sketches, backgrounds, and materials.

The reality of today

Today, artificial intelligence is part of nearly all phases of video production. However, this does not mean that the role of humans has diminished – quite the opposite. AI offers tools, but the creative concept, brand understanding, and aesthetics are still created by humans. Artificial intelligence has become a partner that helps to make video production more efficient and versatile.

AI in various stages of video production

Video production is a multi-stage process that progresses from idea to script, shooting, editing, and finally distribution. When we look at how video production is done, we notice that artificial intelligence can add value at every stage – but in different ways.

Script and brainstorming

The strength of AI lies in processing vast amounts of data. When looking to brainstorm quick campaign concepts or test different approaches, artificial intelligence can provide starting points.

• AI can suggest various story structures for corporate videos.

• It can create ready-made script drafts for different target groups.

• It can adapt the same idea to different formats, for example, from a 15-second social media video to a longer video production for websites.

However, the human contribution brings emotion, brand, and strategic vision – artificial intelligence functions as a sparring partner, not a decision-maker.

Shooting and production phase

Although AI does not yet control cameras, it can facilitate shooting situations. AI technology allows for automatic adjustments of lighting, facial recognition, and real-time image tracking. This helps produce technically more consistent material.

Editing and post-production

Editing is one area where artificial intelligence is already prominently visible.

• Speech recognition converts the audio track to text, enabling videos to be cut using the text.

• AI can automatically remove unnecessary pauses and filler words.

• Highlights from long recordings can be created in seconds.

This significantly accelerates the production of event videos and corporate videos, where schedules are often tight.

Animation and 3D

Artificial intelligence has also found its place in visual production.

• In traditional animation, AI can create backgrounds, character sketches, or simple movements.

• In 3D animation, artificial intelligence can assist in generating materials, setting up lighting, or optimizing simulations.

However, the final quality still depends on the animator's skills. AI speeds up technical work, but the actual creative solution comes from human hands.

Sound design and music

Sound is often what distinguishes an average video from a professional one. Artificial intelligence offers new tools for this:

• Automatic speech recognition and subtitles.

• Choosing background music based on the mood.

• Generative music that is copyright-free.

This is particularly valuable when videos are shared in international markets and there is a desire to avoid copyright challenges.

Distribution and analytics

The value of a video is measured only when it reaches its audience. Artificial intelligence can also optimize distribution:

• AI analyzes when the publication reaches the target audience best.

• It can test different versions and tell which edit engages the audience most effectively.

• Based on viewing data, the next productions can be developed to be even more successful.

This makes artificial intelligence an important tool, especially when video production has a direct link to sales and marketing results.

What benefits and risks does artificial intelligence bring to companies?

The rapid breakthrough of artificial intelligence in video production raises both excitement and questions. For companies, it offers significant benefits – but at the same time, it is important to recognize the risks to utilize the technology correctly.

Benefits for companies

Faster production and lower costs

One of the most obvious benefits is the acceleration of production. Since artificial intelligence can edit, subtitle, and even suggest visual solutions, the process is greatly shortened. This is reflected directly in costs. If you have been wondering what video production costs, the automation brought by artificial intelligence can significantly lower the price, especially when multiple video versions are needed for different channels.

Multilingual versions and international reach

Artificial intelligence can create automatic subtitles and even synchronized dubbing versions in different languages. This makes a single video made for a company easily multilingual, serving both domestic and international markets. Traditionally, this has been time-consuming and expensive, but now it can be done in a fraction of the time.

Content targeting and personalization

AI analytics indicate which parts of the video engage the audience the most. This enables the creation of tailored versions for different target groups: a more technical cut for experts, a more emotional story for the general public. This makes video production a more strategic tool in marketing.

Better data and learning

Artificial intelligence not only produces content – it also learns from it. When a video is published, AI collects data on viewing behaviors, reactions, and conversions. Based on this, the next production can be planned to be even more effective. This ongoing learning makes AI-assisted production extremely valuable in the long run.

Risks and limitations

Challenges of creative quality

Artificial intelligence can speed up the process, but it still cannot understand deep brand values or make aesthetic choices. A good video is always more than just a cut image at the right point – it is a story that builds trust and evokes emotions. Therefore, video production still needs professionals, even though AI handles part of the work.

Authenticity and viewer trust

Audiences are increasingly aware of the use of artificial intelligence. If a video feels "too machine-like," it can undermine brand credibility. Viewers value authenticity and honesty – these come from human hands, not algorithms.

Copyrights and legislation

AI can produce music, images, and visuals, but the copyright status is not always clear. Who owns the content created by artificial intelligence? What if AI "borrows" elements from existing works? A professional production company ensures that every video is safe to publish, even internationally.

Ethical questions

The use of artificial intelligence also raises broader questions: can it be used to create content that looks too real but is not? How can it be ensured that AI is not used for misleading communication? A company's reputation is always its most valuable asset, and it must be protected with responsible choices.

Conclusion – opportunity or threat?

For companies, artificial intelligence offers vast opportunities: speed, efficiency, cost savings, and new ways to reach audiences. At the same time, it brings risks related to quality, authenticity, and copyrights.

The best solution is balance: artificial intelligence handles routines and data processing, but the creative team is responsible for the story, aesthetics, and brand alignment. This results in a video production that is both cost-effective and convincing.

Artificial intelligence in different types of video production

Artificial intelligence does not appear in all forms of video production in the same way. Its role varies depending on whether it involves a marketing-oriented corporate video, a visually striking animation, or a technically precise 3D animation. In each form, however, AI can add value – when used correctly.

Artificial intelligence in corporate videos

The purpose of a corporate video is to build trust, strengthen the brand, and convey a clear message to the target audience. Artificial intelligence can assist in this in various ways:

• Content targeting. AI analyzes viewing data and suggests which version works best on different platforms. The same video can have a lighter social media version and a more detailed presentation on the website.

• Multilinguality. A single corporate video can be made into several language versions using artificial intelligence. This is particularly useful for internationally operating companies.

• Fast editing. When a company needs a quick summary of an event video, AI can identify highlights and produce a draft from them.

Although artificial intelligence facilitates the work, the success of a corporate video still relies on the creative choices made by humans: constructing the right story and creating the right atmosphere.

Artificial intelligence in animation

Animation offers limitless possibilities for visual storytelling. Here, artificial intelligence can serve as support, but not yet as an independent creator.

• Ideation and sketches. AI can quickly create various visual ideas or style variations that an animator can further develop.

• Motion analysis. Algorithms can determine how characters' movements should be constructed to appear natural.

• Creating backgrounds. Simple landscapes or environments can be generated with the help of AI, allowing animators more time to refine the story and atmosphere.

However, the creative team remains crucial for the end result. Simply having artificial intelligence does not make animation convincing – it requires an aesthetic eye and an understanding of the target audience.

Artificial intelligence in 3D animation

3D animation is often complex and technically demanding. It is particularly used in industries like manufacturing, technology, and medicine, where the goal is to illustrate complex processes or products. Artificial intelligence can facilitate this work in several ways:

• Material generation. AI can suggest realistic surface materials and textures, speeding up the modeling phase.

• Lighting and camera angles. Artificial intelligence can simulate various lighting solutions and suggest camera movements.

• Optimization. 3D projects can be heavy to render. AI helps lighten the model without compromising quality.

However, it is precisely in 3D animation that the limitations of artificial intelligence become most apparent. When the goal is engineering-level precision and commercially convincing visuals, an experienced team is always required to combine technical expertise with creative vision.

Future outlook – where will artificial intelligence take video production?

The development of artificial intelligence is just beginning. While it has already revolutionized editing, subtitling, and content personalization, the coming years will bring even more ambitious solutions. Companies and production houses should prepare for the fact that artificial intelligence in video production will become as commonplace as camera equipment or editing software.

Text-based video – from “prompt” to finished video

Generative models are rapidly developing towards a future where an entire video can be produced from just a text description. This means that anyone can create simple videos without a production team.

While this opens up opportunities, it also brings challenges. Ensuring quality, brand integrity, and aesthetics will become increasingly important for a video to stand out from the crowd.

Individual, personalized content

In marketing, personalization is already commonplace – emails and advertisements are tailored to the user. In the future, the same will occur in videos. AI can produce slightly different versions for each viewer: for example, in a corporate video, the speaker mentions the viewer's city or industry. This makes the content even more impactful but requires careful planning.

Deeper integration with other technologies

Artificial intelligence does not develop in isolation; it merges with other emerging technologies. Virtual reality (VR), augmented reality (AR), and artificial intelligence together enable entirely new experiences where the user is not just watching a video – but is part of it. In these productions, 3D animation, interactivity, and AI-driven content adaptation are combined.

Quality versus quantity

As artificial intelligence makes video production easier, the volume of content will increase explosively. Thus, the future challenge will not be the production of content, but ensuring its quality. Companies should invest in a partner that understands how to utilize AI strategically – not just technically.

The human role does not disappear

Even though artificial intelligence automates some processes, humans will always be involved. Creativity, strategic thinking, and deep brand understanding are things AI cannot replace. The most successful video productions of the future will emerge from combining the efficiency of AI with human insight.

The role of Dimedia – how we combine creativity and technology

Dimedia has been involved in the development of video production for over two decades. During this time, the industry has changed dramatically – from film cameras to digital, from individual ads to multi-channel campaigns. Now we are at the brink of a new revolution as artificial intelligence in video production changes the entire playing field.

Our approach is clear: artificial intelligence is a tool, not an end in itself. We utilize it where it truly adds genuine value for the client – but we never compromise on creativity or quality.

AI as assistance, human at the helm

In Dimedia's productions, artificial intelligence is used for example:

• Streamlining editing and post-production. This means we can deliver finished versions faster and more cost-effectively.

• In sound design and music. AI can create a background track or suggest soundscapes, but the final choice is always made by the creative team.

• In multilingual executions. Videos aimed at international markets can have subtitles and dubbing produced with the help of artificial intelligence.

• In creating sketches and visualizations. AI can speed up the ideation phase, especially when it comes to animation or 3D animation.

Thus, artificial intelligence frees up our resources to focus on what truly matters: the story, visual quality, and brand building.

Providing more value to the client

When artificial intelligence is used wisely, clients have more time to focus on the content itself and its objectives. This is reflected on multiple levels:

• Faster timelines. Projects are completed more efficiently without compromising quality.

• Cost-effectiveness. Artificial intelligence can reduce unnecessary manual work, which directly affects what video production costs.

• Breadth of reach. Multilingual versions open doors to new markets.

Dimedia's role is to ensure that artificial intelligence works in the best possible way as part of production – but that there is always a human touch alongside it that makes the video genuinely impactful.

Conclusion – artificial intelligence in video production as an opportunity

Artificial intelligence has come to stay, and its role in video production is growing year by year. It accelerates processes, makes multilinguality routine, and brings new opportunities for content personalization. But it is also good to remember that AI is not enough on its own.

Quality video production always requires a creative team that understands the company's objectives and can build a story that truly convinces. Artificial intelligence is a powerful tool, but only human insight and an understanding of aesthetics make a video meaningful.

For companies, this means that the best results are achieved by combining technology and creativity. AI can reduce costs and speed up schedules – which directly impacts what video production costs – but the final value comes from brand building, trust, and the feeling the video evokes.

Dimedia combines these two worlds. We utilize artificial intelligence in editing, sound, and visualization, but we never compromise on quality or authenticity. Whether it’s a video made for a company presentation, animation or 3D animation, we ensure that the final result is both technically top-notch and aligned with your brand values.

Therefore, artificial intelligence does not take work away from humans – it provides an opportunity to focus on what truly makes a video impactful: the story, emotion, and trust.