Advertising and artificial intelligence have been connected for years, mostly behind the scenes. In 2025 the link is more visible, because AI now touches both sides of the work: deciding who sees an ad and producing the ad itself. Here is a practical look at where it is useful and where it needs care.
AI targeted ads
Targeting was the first area where machine learning took over. Ad platforms use models to decide which people are most likely to respond, which placements to buy and how to split budget between variations. For an advertiser this means less manual segmentation and more reliance on the platform’s own optimization.
It also means less control. When the platform picks the audience, advertisers have fewer ways to know exactly who saw the message. Clear goals and good measurement matter more, not less.
Creative production
Generative tools now produce images, copy variations, voice and short video quickly. This is useful for testing: ten versions of a banner are cheaper than two. It is also useful for adapting one idea to many formats and languages.
The weak point is sameness. Tools trained on the same material tend to produce similar results. A distinctive idea still has to come from people, and the tool then helps to produce it faster.
Personalization
Personalization goes beyond using someone’s name. A store screen can change content according to the time of day, the weather or the product a visitor picks up. A campaign site can adapt images and text to the user’s city. Done with care and with consent, it makes advertising more relevant. Done badly, it feels intrusive.
Interactive and physical experiences
AI is also entering real-world installations. Computer vision can detect that people are in front of a screen, and voice analysis can react to what visitors say or shout. We have worked with this kind of technology for a long time. In our Gritos installation, the system compared visitors’ screams to the voices of 15 bands and singers and told them which one they were closest to. The tools are different today, but the idea is the same: the audience does something, and the piece reacts.
What to be careful about
- Privacy and consent. Using data for targeting or personalization must follow the rules that apply in each market.
- Transparency. Audiences increasingly want to know when content is machine-generated.
- Brand control. Every generated asset needs a human review before it goes out.
- Dependence on platforms. Automated optimization is only as good as the data and goals you give it.
Where this leaves advertisers
The practical approach for 2025 is to use AI where it saves time or improves relevance, and to keep people in charge of the idea, the tone and the final check. If you are planning a campaign that mixes technology and live experience, take a look at what we have built.