As screens multiply and consumption habits continue to evolve, AI emerges as the driving force behind advertising transformation. A recent study conducted by the Insights department of Dailymotion Advertising in partnership with market research institute YouGov highlights very contrasting generational expectations towards advertising, while emphasizing the strategic role that AI can play in interactions between brands and their audience.
When Each Generation Redefines Advertising Codes
The study conducted among 2,095 respondents in France and the United States highlights a clear generational segmentation: Gen Z (18-24 years old) seeks short, dynamic, and ultra-personalized formats, while Millennials (25-34 years old) want efficiency and subtlety. Gen X (35-44 years old) values informative content and social proof, while those aged 45 and over remain attached to traditional formats, simplicity, and privacy protection.
Gen Z (18-24 years old): Immersion, Instantaneity, and Ultra-Personalization
Born with platforms and familiar with short formats, the 18-24 age group stands out for its marked appetite for both personalized and immersive advertising experiences. 72% say they prefer ultra-targeted ads, directly linked to their content preferences.
Adept at creative and renewed formats like Instagram stories/reels, TikTok, or YouTube, "snackable" formats, 6 to 10-second videos dominate their digital environment, as do interactive or "gamified" content, favored by 58% of them.
This model, however, does not export uniformly. While personalization is highly valued in France, it generates less enthusiasm in the United States, where only 16% of young respondents see it as a positive criterion.
Millennials (25-34 years old): Seamless Journey and Frictionless Advertising
For the 25-34 age group, efficiency is key. Used to fast-paced lifestyles, they are favorable to useful, discreet, and well-integrated advertising in their purchasing journey. 70% are in favor of using AI to streamline this journey, and 68% appreciate personalized promotions, especially those based on their consumption history.
Less attracted to the spectacular, they prefer advertising setups that do not disrupt the experience. A majority (55%) prefers messages to be subtly integrated into their navigation rather than highlighted.
Generation X (35-44 years old): Social Proof and Useful Content
This age group combines a demand for information and a need for reliability. 60% of respondents aged 35 to 44 say they trust AI-generated recommendations when they are based on reviews or ratings. Content deemed useful or informative is preferred over traditional promotional messages. One in two users favors this approach, indicating a less emotional and more rational relationship with advertising.
Like Gen Z, they appreciate short and impactful formats, under 10 seconds, suited to connected TV, YouTube, or mobile, and are receptive to new technologies, especially voice assistants that enhance their advertising experience.
Aged 45 and Over: Trust, Control, and Reassuring Formats
While younger generations experience advertising as a fluid interaction, baby boomers show a preference for more classic formats, perceived as reliable and reassuring: 70% of them still consider traditional media (television and press) as preferred information channels. Advertising, in this context, remains an expected component of the media landscape, provided it respects certain limits.
The need for control is central: half of the respondents express distrust towards automatic data collection. They tolerate AI but expect it to serve a simple, explicit, and interference-free experience. A logic that does not reject technology but calls for a certain ethics in its use.
For those aged 55 and over, advertising must be clear, direct, and transparent. More than a third completely reject automatic data collection, and 50% seek non-intrusive formats, delivering information straightforwardly. Far from interactive or immersive setups, this generation seems to demand readability above all.
The paradox is that this generation does not reject AI per se. They recognize its utility in improving the TV or advertising experience, but want it to be contextualized, explained, and most importantly, avoidable. For them, access to information should not come at the expense of privacy.
Personalization: Between Engagement and Algorithmic Drift
AI, by allowing fine adjustment of content to each user segment, responds to a strategic imperative: capturing increasingly volatile attention, especially among 18-34-year-olds. However, ultra-targeting, while boosting engagement, raises the question of tolerance thresholds. The study reveals that excessive repetition of messages, particularly on social media, is a major source of irritation (up to 52% among those aged 55 and over). Poorly calibrated targeting, on the other hand, causes immediate rejection among 18-24-year-olds.
According to Nikhil Jain, VP Insights and Marketing Solutions at Dailymotion Advertising:
"This study highlights a fundamental issue for advertisers: the imperative to adapt each campaign to new consumer habits. AI plays a key role here by enabling increased personalization and more relevant dissemination of advertising messages. At Dailymotion Advertising, we are convinced that the future of advertising lies in engaging, dynamic experiences tailored to the specific expectations of each generation."
Translated from Publicité, IA et attentes générationnelles : vers une personnalisation à plusieurs vitesses ?
To better understand
How does AI enable ultra-personalized advertising experiences?
Artificial intelligence leverages algorithms to analyze user data, such as browsing behavior and preferences, to create targeted ads tailored to each individual, thus enhancing engagement and the effectiveness of advertising campaigns.
What are the regulatory challenges related to the use of AI in advertising?
Regulatory challenges include personal data protection, informed user consent, and ensuring transparency in AI algorithms. Regulators are examining how AI is used to ensure advertising practices comply with privacy laws such as GDPR in Europe.