Published On 5/17/2026
Imagine that an advertising idea came to your mind while drinking your morning coffee, and before the cup was finished, the idea had been turned into a cinematic-quality video ad equipped with sound effects and a professional voiceover, ready to be published on social media platforms.
This is not a scene from a science fiction movie, but rather the new reality imposed by generative artificial intelligence tools in the world of marketing and the advertising industry. The advertising industry is currently experiencing a radical turning point. After decades of exclusive reliance on huge human teams, high budgets, and production periods that extend for weeks, artificial intelligence video generation tools such as Vidu Claw, Sora, and Runway platforms have come in to shorten this complex cycle into a few clicks.
What is Fido platform?
Fido and similar models in the visual generation market are an advanced example of AI-based video generation platforms for content creators and advertisers, as this technology has emerged to bridge the gap between “written idea” and “visual execution.”
The platform is based on the idea that anyone – regardless of their technical experience in editing or photography – can produce a professional video simply by describing what they want in a short, simple text.
The idea is not limited to simply generating a random snapshot, but the platform understands the advertising context, storytelling, and visual dynamism required to attract the viewer’s attention in the first seconds, which is the mainstay of modern ads (such as TikTok ads and Instagram Reels).
How does a short text turn into a full-fledged video ad?
The magical process that turns a single line like “A blue sports car drives through the streets of Doha at night with neon lighting” into a realistic video, depends on a complex technical structure that combines several artificial intelligence models simultaneously:
1. Generating visual scenes
The platform uses advanced diffusion models integrated with transformer technologies, which is technically known as diffusion transformers. This technology gives the machine a superior ability to understand physics simulations such as wind movement, light reflection on car windows, and wheel movement, which makes the generated scene appear very realistic and not just distorted digital graphics.
2. Generating and understanding texts
Before video generation begins, the short script is processed by a large language model that expands simple text into a detailed “advertising script”, divides it into shots, and suggests appropriate directorial angles such as: close-up, overhead drone shot.
3. Automatic audio engineering
Advertising is not complete without sound, as modern platforms integrate automatic sound generation technologies, which include:
- Text-to-speech: Generating a voiceover with an enthusiastic or marketing tone that fits the brand identity.
- Sound and environmental effects: Adding realistic sounds such as engine roar and brake sound.
Practical steps for creating an advertisement
If you want to formulate an advertising campaign across these platforms, the work cycle follows the following practical steps:
- Introducing the idea (The Prompt): The user writes a brief description of the product and the general concept of the ad, specifying the tone, for example: a mysterious ad, a cheerful ad, or a technical ad.
- Storyboarding generation: The platform creates photo drafts or very short clips of one to two seconds for each target shot based on the detailed scenario suggested by the machine.
- Adjust cinematic settings: The user chooses the video dimensions, for example 16:9 for mobile platforms or 16:9 for YouTube and TV, and determines the color style.
- Rendering: Algorithms start processing the data and generating the final high-resolution video combined with audio, music, and artistic transitions.
- Export and publishingThe platform provides direct export options for ad managers, such as Facebook Ads Manager and TikTok Ads, or upload the file in professional quality to launch it immediately as a sponsored campaign.
Economic impact: speed of production and reduction of costs
The entry of artificial intelligence into video production has brought about a significant change in the marketing budgets of companies, and this impact can be summarized in the following aspects:
1. Time reduction
Previously, producing a high-quality commercial took 2-4 weeks between writing the script, booking studios, filming, editing and color editing. Today, thanks to instant obstetrics tools, this period has decreased to less than one hour. This gives companies a superior ability to keep up with real-time trends and create fast interactive content.
2. Reducing high production costs
The cost of producing a traditional advertising video may range between thousands and tens of thousands of dollars, including the wages of photographers, lighting equipment, actors, and paid editing programs. As for artificial intelligence tools, they allow startups and small projects to produce content with excellent visual quality with low monthly subscriptions, which increases the return on advertising investment.
3. Flexibility to test ads
Instead of producing a single video and risking its success or failure, advertisers can now generate 10 different versions of the same ad by changing backgrounds, product colors, or voiceover, and test them all in the market to see which gets the most views.
Current challenges and limitations
Despite this boom, there are still obstacles facing full reliance on artificial intelligence in large advertisements, as models sometimes face difficulty in maintaining accurate and consistent features of the digital actor across several different shots.
Generating clear and readable texts such as logos or product names in different languages - especially Arabic – still requires human intervention through traditional design programs. In addition, there are ongoing legal discussions about the materials and data on which these models were trained and the extent of their intellectual property rights.
The future of the advertising industry
Observers say that platforms such as Fido and others do not eliminate the role of the human creator, but rather redefine it, as the advertising maker is transformed from a person who spends his time on complex technical implementation into a director and strategic guide who leads the machine to reach the best creative result.
But at the same time, they confirm that the future of advertising is moving towards hyper-personalization, and artificial intelligence will soon be able to generate an advertisement tailored to each individual user, based on his personal interests and at the same moment he is browsing the site.
According to a report issued by the US Interactive Advertising Bureau, 86% of advertisers are using or planning to use generative artificial intelligence in producing advertising videos, with expectations that this type of advertising will constitute about 40% of the advertising video market.
