Life beyond hype: what AI maturity reveals about digital marketing

In recent years, artificial intelligence has taken center stage in conversations about the future of digital marketing. Promises of full automation, role replacement and fully algorithmically-guided decisions have dominated events, reports and market speeches.But as technology advances and implementations gain scale, a new phase begins to draw: that of maturity, and it is far less glamorous than hype.

Operational reality shows that AI is not a magic solution.It is a powerful tool, but deeply dependent on data quality, system integration and the human ability to ask good questions.

According to a study conducted by Conversion, 41,3% of professionals highlight that increased productivity with the use of AI is one of the highest priorities of respondents.The same report also points out that 82,4% of respondents use technology daily in 2025, representing an exponential growth, compared to the previous year, when the percentage was 43,7%, which is the highest in the world,

Most companies have realized that the challenge is not only in AI models, but in the basis that underpins these models.Fragmented data, inconsistent metrics, systems that do not talk to each other and manual processes are still part of the daily life of many marketing operations.Applying AI on this structure is like trying to build a smart building on an unstable foundation.

Many AI projects have been recalibrated, pilots have been reviewed and expectations adjusted. The transformation is happening, but not at the speed or format that was imagined.

Another point that has become clearer is that artificial intelligence does not eliminate the need for human intelligence. Creativity, repertoire, context reading and interpretive ability remain irreplaceable.In many situations, we see professionals spending more time supervising and adjusting AI responses than they would take to perform the task from scratch. Productivity does not come automatically, it needs to be built.

The real value of AI is in taking on repetitive tasks, organizing large volumes of information, and broadening analytical capacity.When applied well, it frees up time and energy for teams to do what humans do best: think, create, interpret, and decide.

In digital marketing, this means an important change of focus. The obsession with the tool comes out of the turn and the concern with data architecture, information governance and measurement quality comes in. The replacement discourse comes out and amplification comes in.

We are entering the phase where the question ceases to be “who is using AI?” and becomes “who is using solid-based AI?”. This difference tends to separate cosmetic initiatives from consistent results.

Life beyond hype is less spectacular, but much more productive.

CTO and Partner of NeoPerformance, with a career marked by innovation in marketing and technologiPablo Lemos, CTO of NeoPerformancea. Advertising by training, he started as a copywriter and quickly became a self-taught developer, combining these skills to create data governance software for clients such as Vale and Bradesco. This path resulted in the creation of NeoDash, an advanced software that models and interprets advertising data. NeoDash is today the backbone of NeoPerformance data operation. With two Cannes lions in the baggage, his expertise has benefited great advertisers in Brazil and abroad, helping them to understand the media and drive the results of how to.