Artificial intelligence makes it possible to create ads more quickly, explore creative ideas and adapt messages to different channels. But producing content faster does not guarantee it will be more effective, reliable or consistent with a brand’s values. When it comes to artificial intelligence for brands, the key question is how to harness this technology without compromising public trust, people’s rights or the company’s reputation. Because a good AI strategy in advertising needs creative capacity as much as it needs judgement, oversight and accountability.
Transparency
Explain without confusingA brand must prevent the public from taking a fictional scene as real or attributing to a person a statement they never made. If an ad shows a product in a digitally generated setting, it is worth considering whether that depiction could create false expectations. Transparency requires distinguishing the cases where a specific legal obligation applies.
Truthfulness
No unfounded promisesAI can invent features, figures or benefits in a highly confident tone. A cream cannot advertise unproven dermatological results, nor can fictional testimonials be presented as if they came from real customers. Generated content must always be checked against the product's actual data and the available evidence.
Privacy
Personalise with judgementAnalysing behaviour helps you understand your audience, but it does not allow you to reuse their data indiscriminately. The purpose, the legal basis and people's expectations must be examined. It is also wise to avoid entering personal or confidential data into AI tools without checking their security conditions.
Bias and representation
Avoid visual stereotypesGenerative models can reproduce stereotypes of gender, age, origin or physical appearance. A financial campaign could systematically portray certain profiles as less creditworthy. Reviewing images, language and audience segments helps detect these distortions before they become a brand problem.
Human accountability and rights
Professional oversight and authorshipHuman review is essential. It is necessary to chec
Responsible advertising goes beyond regulatory compliance. It also means asking how the audience will understand the message, what expectations it will create and whether the campaign strengthens a lasting relationship of trust. A piece may seem acceptable from a formal point of view and yet be misleading because of the context in which it is presented.
Responsible use cases for AI in marketing
AI can add value when it solves a specific need within the marketing strategy. The aim is not to generate as much content as possible, but to improve the preparation, execution or evaluation of campaigns without losing control over the result.
A first use is the generation of drafts and creative variants. A team can explore several headlines for the same promotion, test tones of voice or develop different angles for a campaign. This makes ideation easier, but every proposal must be reviewed. If an offer includes a 15% discount for one week, every version must keep those conditions, without adding non-existent benefits or removing relevant restrictions.
The technology can also help adapt messages to different channels. A core idea can become a social media post, a search ad or a sales email. Adaptation, however, must not dilute the brand’s verbal identity or turn every channel into a string of generic messages. The creative brief should set out the tone, the vocabulary, the authorised claims and the lines that must not be crossed.
Another field of application is research and organising information. AI tools can summarise documents, group customer comments or help sort hypotheses before preparing a campaign. They are useful for spotting recurring themes, but they do not replace source verification or guarantee that a sample is representative. If the tool presents a figure with no verifiable origin, that figure should not be used as the basis for a strategic decision.
In results analysis, AI can make it easier to detect patterns and suggest tests to compare headlines, creatives or calls to action. A brand can investigate whether a message focused on convenience performs better than one focused on price. However, a correlation does not prove a cause on its own, and any conclusion must take into account data quality, sample size and campaign conditions.
Creating concept images and scripts is equally interesting. It allows you to explore visual universes before producing a final piece. But an image of packaging with dimensions, a colour or features the real product does not have can create false expectations if it is published as a commercial photograph. A clear distinction must be made between concept visualisation and faithful representation of the product.
Finally, automating repetitive tasks can free up time for planning, creativity and evaluation. This only works if there are quality criteria, people responsible for review and mechanisms to correct errors. Ethics in marketing also means not confusing efficiency with saturation: publishing more pieces does not mean communicating better.
Legal limits and regulations for brands
Using AI in a campaign does not create a legal vacuum. Obligations depend on the content, the purpose, the data used and the role of each company. That is why good ethical practice must be distinguished from the requirements enforceable by law.
European Artificial Intelligence Regulation (AI Act): Regulation (EU) 2024/1689 sets out specific transparency obligations in Article 50. As of October 2026, these obligations have applied since 2 August 2026, without prejudice to any transitional arrangements or specific provisions that may apply.
Not every ad created with AI has to be labelled automatically. Among other cases, Article 50 requires disclosure when a person interacts directly with an AI system, unless this is obvious from the circumstances. It also requires the artificial origin of deepfakes to be disclosed: generated or manipulated images, audio or video that appear authentic and could mislead. In clearly creative, satirical or fictional works, the way this is disclosed is adapted so as not to spoil the enjoyment of the work.
For text generated or manipulated with the purpose of informing the public on matters of public interest, the regulation establishes a transparency obligation, with an exception where there is human review or editorial control and a natural or legal person assumes editorial responsibility. This does not amount to a general obligation to label any advertising text. The European Commission has published guidelines on Article 50 that help clarify its scope.
The regulation also distinguishes between the obligations of system providers and those of the deployers who use them. For example, providers have obligations relating to the machine-detectable marking of certain generated content, while user companies may have to provide information in the cases set out. Identifying the company’s role and the type of content is essential to determine what needs to be done.
Data protection and advertising
The General Data Protection Regulation (GDPR) is relevant whenever personal data is processed to segment audiences, build profiles or personalise ads.
Misleading advertising and consumer protection
European rules on unfair commercial practices prohibit practices that contain false information or that, by the way they are presented, may mislead and influence purchasing decisions. This includes claims about a product's features, benefits and expected results.
Copyright, image and voice rights
Generating content with AI tools can raise conflicts if it incorporates protected works, characters, logos or recognisable imitations of real people. In Spain, the right to one's own image and the protection of honour and privacy are also highly relevant.
To manage these risks, it is advisable to set up a validation process before publishing any campaign with content generated or modified by AI:
- Document the tools used, the source materials and the licence conditions.
- Verify commercial claims and check that images represent the product correctly.
- Keep track of the personal data entered and the purposes for which it is used.
- Review possible biases, consistency with the brand and the applicable transparency obligations.
- Seek legal advice when in doubt about sensitive data, imitations of people, copyright or specific labelling obligations.
AI regulations set out part of the decision-making framework, but they do not replace professional judgement. A solid brand needs to know what it can automate, what it needs to verify and when it must explain to the public how a piece of content was created. At acrōnim we approach communication through strategy, creativity and brand consistency: adopting new tools should help you communicate better, without losing sight of the people who receive the messages.
Communicate better with AI without losing your audience’s trust or your brand’s identity.
