How Black Friday Will Change in 2025 with AI: Faster, More Accurate, More Human

Black Friday is being transformed in real time thanks to generative artificial intelligence. This key date on the marketing calendar is facing a new turning point in 2025: the use of AI no longer just automates processes, but is changing how campaigns are designed, adapted, and executed. The difference from previous years is no longer purely technological; it has become structural.

In 2023 and 2024, we were already seeing some pilot projects, specific use cases, or tests in controlled environments; however, this year we’re already talking about large-scale implementations, mature workflows, and the genuine integration of AI into the day-to-day operations of advertising campaigns.

These will be the key changes that will make Black Friday 2025 a turning point:

1. Creativity generated at scale (and with purpose)

In 2024, we saw how experiments with generative tools focused on streamlining processes or creating alternative content. Now we see that the difference lies in the structured and coordinated use of these tools within creative teams. While we initially simply experimented with prompts, we are now in a phase of creating scalable creative production systems that are aligned with the brand’s visual identity and capable of generating multi-format variations in minutes.

2. Real-time personalized campaigns

We’ve been talking about hyper-segmentation for a while now; it’s no longer new, but its real-time execution certainly is. This year, thanks to the integration of AI with platforms like Meta, brands can automatically adapt their message, format, and frequency based on user behavior at that very moment. Last year, this personalization was more reactive; now it’s proactive and predictive.

In addition, strategies such as the five performance levers make it possible to implement this personalization without sacrificing efficiency—something that is essential in high-volume campaigns.

3. Equitable Access to Creativity

One of the biggest differences compared to previous years is the true democratization of creative production. In 2023 or 2024, only a few SMEs with the technical capabilities dared to explore generative AI. By 2025, its adoption has become widespread, and any brand—regardless of its budget—can access professional-quality visual or narrative content without relying on large teams or external agencies.

This is completely changing the playing field for Black Friday: the advantage is no longer just about the budget; it’s now shifting to creative and strategic agility.

4. Faster and more sustainable production

The use of AI to replace logistical tasks (photo shoots, video editing, proof-of-concept tests) is already part of the standard process at many companies. Unlike in 2024, when cost savings were the main selling point, a new goal has been added in 2025: sustainability. Fewer trips, fewer materials, a smaller carbon footprint… After all, AI isn’t just faster—it’s also cleaner.

5. Forecasting and Optimization Before Launch

AI-based analytics has also taken a leap forward. Whereas data analysis was previously used to course-correct after a campaign had launched, this year many brands are predicting performance even before going to market. AI makes it possible to test messages, validate creative concepts, and detect patterns before the first click. This radically changes how decisions are made during high-pressure moments like Black Friday.

In short: what was once a promise is now a reality

Black Friday 2025 will not only be more competitive, but it will also be smarter—and that’s because brands have stopped viewing AI as a tool to do more, and have started to see it as a different way of working.

The companies that are already taking this step aren’t just the largest ones, but those that have realized that the challenge isn’t simply using AI, but integrating it with coherence and strategic vision.

The future isn’t fully automated; it’s still human, but powered by technology that forces us to make decisions faster and connect better. That’s the paradox of AI: the more it advances, the more necessary human judgment becomes.

Content written by AI under human supervision and editing