In the fast-paced world of advertising, a groundbreaking development has captured the industry’s attention: a 46-second Volvo commercial that looks surprisingly authentic but was entirely generated by artificial intelligence. This mock ad, created by colorist Laszlo Gaal using Runway’s Gen-3 text-to-video platform, has stirred up conversations about the potential and limitations of AI in advertising. Let’s delve into the details of this innovative project and explore the implications for the future of marketing.
The Birth of an AI-Generated Ad
Gaal’s inspiration for the ad came from Volvo’s philanthropic fund, Volvo For Life. Using Gen-3, he created a video depicting a Volvo-like vehicle weaving through a city, leaving a trail of lush vegetation in its wake, including a beautiful waterfall dropping from the top of a skyscraper.
The entire process took less than 24 hours to complete, highlighting the efficiency and speed of AI-powered content creation.
The ad quickly gained traction on social media, with industry professionals praising its quality and apparent authenticity. Matthieu Lorrain, a creative lead at Google’s AI research lab DeepMind, called it “one of the most impressive commercial films” made with AI. Justin Westcott, global lead for Edelman’s technology sector, noted that the ad was “not too far off from passable.”
However, not all feedback was positive. Some critics pointed out that the ad lacked storytelling depth and felt somewhat dull. Additionally, there were inconsistencies in the depiction of the vehicle itself, with viewers struggling to identify the specific Volvo model being showcased.
Despite these criticisms, the ad’s virality and the discussions it sparked underscore the growing potential of AI in content creation. It also highlights the rapid advancements in text-to-video AI platforms and their potential to revolutionize the advertising industry.
Five Key Tips for Using Text-to-Video AI Tools
Based on his experience creating the Volvo ad, Gaal offered five essential tips for marketers looking to leverage text-to-video AI tools effectively:
1. Know the model’s limitations
Before diving into the creative process, it’s crucial to understand what the AI model can and cannot do. This knowledge helps prevent wasted time and resources on unattainable goals.
For instance, Gaal discovered that Gen-3 struggled with unconventional camera angles, so he adjusted his direction to accommodate this limitation. Similarly, the AI model has a 10-second limit on video length, requiring him to stitch together 45 different outputs for the final ad.
2. Understand model-dependent nuances in communication
Different AI models require different prompting styles. Gaal likens this to how we adjust our communication style depending on our audience. This is something I spend a great deal of time discussing with my clients in Generative AI trainings for marketers. Each model has its own preferred structure for prompts.
Some models work best with brief, one-sentence prompts, while others, like Gen-3, benefit from more detailed instructions of about five sentences. Gaal emphasized the importance of learning how to “talk” to each new tool effectively.
I couldn’t agree more with Gaal on this point. When I take clients through Generative AI training for marketers, we spend a great deal of time focused on understanding how to talk to these tools and how to build complex prompt sequences.
3. Pay attention to hallucinations
In the context of AI, “hallucinations” refer to unexpected or incorrect outputs. Gaal advises marketers to pay close attention to these deviations from the intended result. By identifying the source of these hallucinations in the prompt, you can make targeted adjustments instead of rewriting the entire query.
Interestingly, Gaal also notes that some hallucinations can lead to creative opportunities. Being open to these unexpected elements can result in more interesting and unique outputs. “When you have the freedom to follow these different threads, then the end result will be much more interesting than if you have just a storyboard and want to generate 20 very, very strict shots,” Gaal explained.

4. Don’t be afraid to kill your babies
For those who know me in real life, you know I co-wrote a co-produced a feature film years ago. As we were writing the movie, we often referred to the fact that sometimes, you have to kill your babies. No, I am not advocating actual murder. Rather, the notion is that sometimes our best ideas (our babies) slow the plot’s progression and must be cut.
In the post-production phase, Gaal recommends this ruthless editing approach. Text-to-video AI can generate vast amounts of content quickly, making it easy to become attached to multiple outputs. However, creating a cohesive final product often requires letting go of many of these “babies.”
For his Volvo ad, Gaal generated 500 outputs but only used 45 in the final cut. He advises marketers to remember that consumers will only see the end result, not all the good material that was cut. This perspective can help in making tough editing decisions.
5. Don’t rely on AI for depicting brand products
One of the main criticisms of Gaal’s ad was the inconsistent depiction of the Volvo vehicle. This highlights a current limitation of AI in advertising: its struggle to accurately represent specific products or brand elements. I’ve experienced this myself when attempting to create videos and visuals around products. Somehow these AI models can’t accurately represent specific products…yet.
For brand-specific content, Gaal suggests a hybrid approach. He recommends using traditional methods like 3D modeling for accurate product representation and then incorporating these elements into the AI-generated background. This approach is similar to how car commercials are sometimes shot with placeholder vehicles, which are later replaced with the actual models in post-production.
The Future of AI in Advertising
The buzz generated by Gaal’s AI-created Volvo ad demonstrates the growing interest in and potential of AI technologies in the advertising industry. As these tools continue to evolve, they promise to streamline production processes, reduce costs, and open up new creative possibilities.
However, the ad also highlights the current limitations of AI in content creation. Issues such as inconsistent product representation and a lack of nuanced storytelling suggest that human creativity and oversight remain crucial in the advertising process.
Looking ahead, we can expect to see more experimentation with AI-generated content in advertising. As marketers become more familiar with these tools and develop best practices for their use, we may see a new era of advertising that blends AI efficiency with human creativity.
The key for marketers will be to strike the right balance – leveraging AI to enhance and streamline their workflows while still maintaining the human touch that brings emotional resonance and brand authenticity to their campaigns.
Laszlo Gaal’s AI-generated Volvo ad serves as both a showcase of the potential of text-to-video AI tools and a case study in their current limitations. As these technologies continue to advance, they will undoubtedly play an increasingly significant role in the advertising industry.
However, the most successful marketers will be those who can effectively combine the efficiency and innovation of AI with the creativity, strategic thinking, and brand understanding that only humans can provide. By following Gaal’s tips and remaining open to the possibilities of AI while being aware of its limitations, advertisers can navigate this new frontier and create compelling, effective campaigns in the AI era.
The future of advertising is here, and it’s a blend of human ingenuity and artificial intelligence. As we continue to explore and refine these tools, we can look forward to a new age of creativity and efficiency in marketing and advertising.
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