In the advertising industry, artificial intelligence has been helping optimize campaigns for years—for instance, by automatically adjusting bids or managing budgets (Smart Bidding, Performance Max campaigns, etc.). These solutions improve efficiency: advertisers using Performance Max report an average of 18% more conversions at a similar cost. However, the creative side of advertising—producing copy, visuals, and videos—still largely relies on human work, which can be both costly and time-consuming. In fact, up to 80% of small business owners create their own marketing materials, as they often can’t afford agencies or large creative teams. But can AI transform this aspect as well? Below, we discuss how artificial intelligence tools can revolutionize the ad creation process, from text and translations to visuals and video.

AI-Generated Copy and Product Descriptions

Creating engaging ad copy and product descriptions can be tedious. You need catchy headlines, unique selling points, and tone-of-voice alignment with your audience—all of which take time or require hiring a copywriter. Artificial intelligence, however, can take over much of this work. Modern language models (like GPT) can write fluent, persuasive text from just a few keywords or short instructions. For example, Amazon launched an AI tool for sellers that can generate complete product descriptions from just a few keywords. This means a store owner only needs to input the type of product and a few attributes, and the algorithm proposes a ready-made title, description, and bullet points—which can be easily reviewed and edited before publishing.

Moreover, AI can generate descriptions based not only on text but also on product images. eBay is testing a “magical listing” feature that analyzes a photo of an item and automatically generates a description and parameters for the listing. In other words, with just a product photo and a few technical details, an AI model can extract the key features and present them attractively. For marketers, this is a massive time-saver: instead of writing every description manually, they can use AI to produce a first draft and then simply refine it or add brand-specific details.

Examples of content AI can generate include:

Product descriptions for online stores (highlighting key benefits and specifications).

Ad copy (e.g., headlines and descriptions for Google or Facebook Ads) tailored to different audiences.

Landing page content or blog articles supporting SEO and content marketing.

Personalized messages—AI can adjust tone and content for customer segments, seasons, or local preferences.

Importantly, the quality of automatically generated text continues to improve. Amazon reports that its generative AI models “enrich and improve product information at an unprecedented scale.” Many sellers testing these tools accept AI-generated descriptions with little to no editing. Of course, human supervision remains crucial—marketers should ensure that generated content matches the brand’s tone and is factually accurate. Still, AI significantly accelerates work: studies show that marketers using AI tools can produce long-form content or descriptions two to three times faster than through traditional methods. ** Translation and Global Market Expansion**

Expanding an advertising campaign or offer to foreign markets once required hiring professional translators, which was often expensive. Today, thanks to AI, language barriers are much lower. Modern AI-powered translators (like DeepL or Google Neural Translation) can render text at near-human quality, maintaining both context and tone. This makes it possible to instantly translate product descriptions, ad slogans, or even entire catalogs into multiple languages.

AI also enables on-demand large-scale translation—machines can translate content into many languages simultaneously. According to experts, AI-assisted translation tools allow companies to manage multilingual content at scale, practically in real time. As a result, even small online stores can run ad campaigns in multiple countries simultaneously, reaching new customers without major investments. AI handles not just literal translation but also localization—adapting things like measurement units, currencies, or cultural nuances.

In practice, this means that a Polish campaign can, in seconds, be transformed into English, German, Spanish, or Czech versions using AI. Automatic translation can include both text and visuals (e.g., swapping banner text into another language) or even generate a voiceover in the local language for promotional videos. Artificial intelligence eliminates language barriers, something that used to be the advantage of large corporations with dedicated translation teams. Now, smaller advertisers can more easily expand globally, presenting consistent marketing communication across multiple countries.

AI-Generated Visuals and Video

Another area that AI is revolutionizing is the creation of visual and video assets for advertising. Producing appealing product images or shooting a commercial traditionally required designers, photographers, or videographers—significant investments of time and money. Today, many of these tasks can be handled by generative AI models for images, video, and sound.

Image generation: In recent years, tools like DALL-E, Midjourney, and Stable Diffusion have emerged, allowing users to generate images from text prompts in a chosen style. You can, for example, ask AI to create a visual of your product in a specific setting (e.g., running shoes on a mountain trail)—no photoshoot required. What’s more, tools like Midjourney are now widely used by professionals: according to Adobe, 81% of professional designers and creators use generative AI tools in their work. This shows that the technology has gone fully mainstream in the creative industry.

Logo and graphic design: AI can also assist in creating brand identity elements. There are generators capable of proposing logo concepts based on a short company description or preferred aesthetic. While results usually need refinement by a designer, they serve as an excellent starting point—a few logo concepts in minutes instead of hours of sketching. The same applies to banners or social media posts: AI can automatically choose layouts, backgrounds, icons, and colors consistent with brand guidelines.

Video and audio creation: Perhaps the most impressive advances come from AI-generated video. Increasingly, platforms offer services where you provide a script or product images, and AI generates a short ad video. This might include 3D product animations, slideshow-style sequences with automatic transitions, or even a synthetic presenter delivering the ad text in a realistic human voice. Modern synthetic voices sound strikingly natural, enabling advertisers to produce professional voiceovers without hiring voice actors.

In practice, this means that a small company can create a fully digital video ad using only a product photo and a short script. The AI generates the scenes, adds background music and narration. The resulting video can then be easily adapted to different formats (e.g. a shorter version for Instagram, a vertical one for TikTok, or a longer version for YouTube) — often with just a few more clicks in the tool.

The benefits of using AI for graphics and video production are substantial. First — cost savings. Automating the production process means fewer expenses on equipment, studios, actors, or photographers. Estimates show that creating an ad with AI can be up to 75% cheaper compared to traditional methods. In other words, a video that used to cost around 20,000 PLN can now be produced for about 5,000 PLN — or even less.

AI drastically reduces the cost of video ad production. The average cost per minute of a traditional ad vs. one made with AI shows a difference of up to 75% in favor of AI. By automating many stages of the process (such as set design, animation, or voiceover), small businesses can now create professional-quality video ads for a fraction of the former cost, without compromising quality.

Second — speed and scalability. Creative tasks that would normally take weeks can now be completed in just a few hours. For example, the marketing team at D2L Brightspace combined designers’ work with generative image models to create 114 ad variations in 70% less time than usual. This large number of variations enables extensive A/B testing — determining which creatives perform best — without significant additional effort. In this sense, AI encourages experimentation and optimization: instead of producing one banner, marketers can instantly generate ten different ideas and test which one attracts the most engagement.

In summary, AI in graphic and video production opens up completely new opportunities for marketers. The barrier to professional-quality creative work has been dramatically lowered — there’s no need for a photo studio or a film crew to create attractive materials. Of course, human creativity remains key for developing the concept and final polish, but AI accelerates execution and takes over the technical aspects of production.

AI Goes Mainstream – Real-World Examples

It’s worth emphasizing that we’re not talking about a distant future — these trends are happening right now. More and more high-profile advertising campaigns are using AI, showing that the technology has become a new industry standard. Artificial intelligence has entered the advertising mainstream, and here are some examples:

Coca-Cola (2024) – The iconic Christmas ad featuring the red truck was created entirely by AI for the first time. The company used generative models to produce the festive video, and the results were stunning: 110 different versions of the ad were generated in just a few days, each localized for 27 markets (with recognizable cityscapes in the background). Despite some controversy among fans who called it “the end of holiday magic,” Coca-Cola proved that even emotionally charged storytelling can be recreated with AI — and stylistically, the ad matched previous versions.

Heinz (2023) – The ketchup brand made waves with its “This Is What Ketchup Looks Like to AI” campaign. Using DALL-E, Heinz generated images of ketchup bottles from the simple prompt “ketchup.” Remarkably, almost every AI-generated image resembled Heinz products, which the brand humorously turned into a claim that “even AI thinks Heinz is synonymous with ketchup.” The campaign won a Clio Award for creativity — a perfect example of combining a clever concept with AI capabilities, while engaging consumers to generate their own ketchup images.

Nike, Nutella, Cadbury... – Many other global brands are experimenting with AI. Examples include personalized voice ads that adjust messaging based on the listener’s location, or algorithmically designed packaging, such as Nutella’s unique AI-generated jar labels. The marketing industry recognizes that mass-scale personalization — once an advertiser’s dream — is now achievable thanks to AI.

Importantly, it’s not just global giants benefiting from this. A growing number of small businesses and agencies are adopting AI tools in their daily work. According to Semrush, 67% of small companies already use AI for content marketing or SEO, and those that do report an average 70% higher ROI from their marketing efforts. This confirms that AI is no longer a novelty — it has become a practical way to improve results and competitiveness, including in advertising.

The Future of Advertising and Our Ads Bot AI

Artificial intelligence has the potential to revolutionize the ad creation process — making it faster, cheaper, and more tailored to the audience. By automating the tedious stages of production — from writing descriptions and translations to generating visuals and videos — AI frees up time for strategy and creative thinking. Many companies are already saving time and money, creating more ad variants and reaching customers more effectively. This trend will only grow stronger as generative models continue to evolve.

It’s worth exploring AI’s potential in marketing today. Technologies that seemed futuristic just a short time ago are now within everyone’s reach — including marketers and small business owners. If you want to use artificial intelligence to improve your campaigns, don’t wait for competitors to get ahead. Our company is developing Ads Bot AI (TrafficWatchdog) — a solution that helps automate advertising campaigns using artificial intelligence. Contact us to discover how AI can enhance your marketing efforts. The future of advertising is happening now — and it’s worth being part of it from the start!