Artificial intelligence (AI) content has been blowing up our feeds for several months now, and it’s not going anywhere anytime soon. Besides creators, companies, agencies, and marketers are now also implementing AI into their ads and marketing campaigns. What started as generated text has now turned into AI-generated images and videos in the form of AI UGC, AI Ads, and even AI influencer content. Marketers who embrace these changes will be better positioned to navigate the evolving digital ecosystem and achieve superior campaign performance. We looked into the transformative power of AI in advertising, exploring its benefits, key tools, and what this means for the future of marketing.
What are AI-generated ads?
AI-generated ads refer to advertising content—think text, images, and videos—that is created, optimized, or personalized using artificial intelligence technologies. This can range from AI assisting in generating ad copy and visual elements to fully automated systems that produce entire campaigns based on performance data and audience insights. The core idea is to leverage AI's capabilities to enhance creativity, efficiency, and effectiveness in advertising efforts.
I’m sure you’ve seen these types of ads before; some are more obvious that they’re made with AI. For instance, this video ad made by Volvo:
While others might take a bit longer to realize you’re actually looking at an AI-generated ad:
What are the benefits of AI-generated ads?
There is a reason why so many brands are turning towards AI-generated ads. The integration of AI into ad workflows offers a huge range of benefits that are compelling to marketers and SMEs to adopt these advanced technologies. The benefits are endless if you’re able to master the art of AI generation. From campaign management and initial content creation to ongoing optimization and data analysis. Here are some of the biggest advantages.
1. AI increases efficiency
One of the most significant benefits of AI in advertising is its ability to increase efficiency by a lot. AI-generation tools can automate repetitive tasks, such as generating multiple ad variations, at a much faster speed. In turn, it frees up marketers to focus on higher-level strategic planning and creative development. For instance, let’s say you’re creating an ad campaign for Meta. With AI, you can now create 50+ ad creatives for your A/B tests to quickly identify which assets perform the best. In other words, AI allows you to scale way faster.
Don’t just take my word for it, Google reported that advertisers used Gemini to generate nearly 70 million creative assets inside AI Max and Performance Max campaigns in Q4 2025 alone, a 3x year-over-year increase. This number shows us that AI-generated content is becoming something that people can rely on.
2. AI creates content faster
What makes AI so efficient is that AI tools are revolutionizing the speed at which advertising content can be produced. With generative AI, marketers can create studio-quality video and image assets from simple text prompts or existing media in minutes, a process that traditionally would take days or even weeks. Tools like Liminal AI even eliminate the need for prompt engineering. You can now create full ad videos with just 1 sentence. This rapid content generation capability enables brands to maintain fresh and diverse creative assets across various platforms, keeping pace with fast-evolving consumer trends and campaign requirements.
3. AI can optimize campaigns more accurately
Besides creating ad content, AI’s analytical capabilities also allow for more precise and effective campaign optimization. By processing vast amounts of data, AI algorithms can identify intricate patterns and predict audience behavior with remarkable accuracy. This leads to highly targeted campaigns, personalized content delivery, and optimized bidding strategies that maximize return on investment. The biggest ad placement platforms are already incorporating this into their services. Think, for instance, how Google's Performance Max and Meta's Advantage+ leverage AI to handle bidding, audience targeting, and creative assembly, often outperforming manual optimization efforts.
4. AI reduces production costs
The ability of AI to automate content creation and streamline optimization processes directly translates into reduced production costs. For example, generating multi-shot, studio-quality video commercials from a product photo and a prompt significantly lowers the financial barrier for producing high-quality visual content. What used to be hundreds of dollars per video previously is now only less than 10$. In other words, AI is making studio-quality ads more accessible to small businesses, too.
What tools to use to make AI ads?
The AI boom brought a variety of new AI-content generation tools to the market. Here are some of the tools we love:
- Higgsfield: An AI video and image generation platform that turns product URLs into high-quality video ads with AI avatars, voiceovers, and captions. It streamlines ad production by extracting product details and applying one-click effects to create professional ads.
- Liminal AI: The first no-prompt all-in-one AI video and speech generator designed for creators, marketers, and SMEs. Upload your brand URL and get full studio-quality videos instantly. The no-prompt feature makes it easy for beginners to generate UGC, ads, or influencer content.
- HeyGen: An AI-powered video generation platform that allows marketers to create high-performing video ads in minutes without cameras or actors. It offers realistic AI avatars that can speak in multiple languages, ideal for personalized outreach and social media campaigns.
- Arcads: An AI-powered user-generated content (UGC) video ad maker that uses a library of AI actors to create realistic, direct-to-camera video ads. It's designed for performance marketers to generate cost-effective UGC-style videos at scale quickly.
Does making ads with AI actually work?
The short answer is yes, AI-generated ads have been proven to work. Studies show a 30% increase in conversion rates when AI handles personalization. Netflix relies on AI for 80% on what people watch, giving viewers spot-on recommendations. And Heinz’s AI campaign generated over 800 million views. These examples show us that AI ads are doing more than just saving time.
But does that mean that we can completely rely on AI to take over all the ad work? No. Human oversight still matters.
AI excels in data-driven tasks and automation but lacks human intuition and ethical judgment. What this means in practice is: setting clear guidelines in AI workflows with human review rounds and regularly auditing AI output. AI is good, but it still makes mistakes. 70% of marketers have encountered AI related issues such as hallucinations, bias, or off-brand content.
So what’s the best use case for AI for marketers? AI is great for accelerating ideation and variation. Create tons of ad creatives in a short time while humans stay responsible for curation, refinement, and final creative decisions.
What can we expect next?
As AI is integrating more into our day-to-day work, the focus is shifting from what the technology can do to how we can use it in practice. So, where is AI headed next in the advertising space?
First of all, it does not seem like the AI boom is slowing down anytime soon. In fact, AI in the advertising market is projected to reach a staggering $1.5 trillion USD by 2030. This immense growth will be fueled by the increasing adoption of AI across all areas of advertising, with predictions suggesting that by 2027, half of all programmatic ad operations will be handled by agentic AI. This indicates a huge shift in how advertising campaigns are managed, optimized, and executed, with AI taking on an increasingly autonomous role.
On top of that, we can expect a surge in hyper-personalized media and the creation of digital influencer clones (or AI influencers) who are able to create content 24/7.
Therefore, brands must stay agile and adapt their strategies to these evolving AI capabilities. The brands that proactively integrate AI into their operations will not only stay competitive but will also unlock new avenues for growth and engagement in the dynamic advertising landscape of 2026 and beyond.
