Not long ago, the idea of Artificial Intelligence playing a leading role in media planning might have raised a few eyebrows – even mine! But today, it’s no longer a distant concept; it’s a present reality. At mediaReach OMD, we’ve witnessed first-hand how AI is transforming the core of advertising, enhancing speed, precision, and performance across the board.
During our “Top Trends 2025: Unlocking Insights: Media, Consumer, Market” event in January, we boldly predicted that AI would transition from a trend to a central force in media and marketing strategy. Just a few months later, that vision is unfolding in real-time. Tools like Google’s Performance Max, Meta Advantage+, and Adobe Sensei already allow us to plan and execute campaigns with remarkable agility. AI helps us test faster, optimize smarter, and reach audiences in ways previously unimaginable at scale. For creative teams, it opens new doors for ideation, asset refinement, and adaptive storytelling.
But as we embrace this rapid shift, it’s crucial to pause and ask the right questions: Can we move fast without losing meaning? Can automation truly deliver empathy, context, and cultural nuance?
These aren’t just philosophical questions; they are strategic ones. At the heart of media are people, not just platforms. While AI is a powerful co-pilot, the real differentiator remains human insight. As we continue to innovate, our focus must stay rooted in storytelling that reflects the depth, diversity, and dynamism of the people we serve.
The Unseen Gap: AI and Cultural Resonance
As advertising evolves at lightning speed, there’s a growing risk of losing the local texture and cultural resonance that give campaigns their emotional edge, integrity, and identity. AI can predict what works based on data, but does it truly understand people the way humans do?
Context, nuance, slang, pop culture references, and regional sensitivities are not just “nice to have”; they are core ingredients in building lasting brand trust. These subtle layers are often the first to disappear when machines create without human oversight. We’ve already seen campaigns, though visually impressive, fall flat or spark backlash because they lacked authentic cultural grounding. It’s a stark reminder that creativity rooted in community will always resonate deeper than content optimized for clicks.
This underscores a critical reality: AI lacks emotional intelligence. It doesn’t understand irony, historical wounds, or evolving social values. It can replicate patterns but not empathy. It can produce outputs, but not deeper meaning. For brands operating in multicultural markets like Nigeria, India, or Brazil, this gap is especially risky. Ads that fail to adapt locally can appear tone-deaf or even offensive.
Navigating Data Bias and “Black Box” AI
There’s also the challenge of data bias. As Harvard Business Review puts it, “It’s easier to program bias out of a machine than out of a mind.” However, the reverse is also true. If the datasets used to train AI are flawed, containing stereotypical, exclusionary, or colonial-era narratives, the outputs will reflect that.
Similarly, the rise of “black box” AI systems – which give outputs without explaining the rationale – creates an accountability gap. Planners may not fully understand why an audience is being targeted a certain way or why a particular message is being pushed. This makes it harder to defend creative decisions, build transparent and ethical campaigns, and ultimately, maintain a brand’s trust.
The Way Forward: Hybrid Intelligence in Media Planning
So, where does this leave us? AI should support the human brain in media planning, not replace it. The way forward lies in what some experts call “hybrid intelligence”: a deliberate mix of AI efficiency and human sensitivity and judgment.
Creative and planning teams should view AI not as a replacement, but as a powerful tool to accelerate routine tasks and elevate strategy. This allows them to dedicate more time to the emotional, cultural, and ethical dimensions of their work.
To effectively embrace hybrid intelligence, media teams need to:
Accelerate Tasks, Not Creativity: Let AI handle content scaling, data analysis, and performance testing. Human teams should focus on concept, cultural relevance, and brand voice. Crucially, regularly audit AI tools and output for bias, tone, transparency, and ethical alignment. Never assume the machine is inherently right.
Build Teams with Both Tech and Cultural Literacy: The best media planners in the AI era will be those who can read a spreadsheet and a street trend in equal measure.
Create Clear Human Checkpoints: At every major stage of strategy, from creative approval to execution, there should be a human review to ensure alignment with values and brand intent. Our newly AI-enabled OMD Consumer Intelligence platform is a great example of this.
Train Continuously: Upskill teams not just on how to use AI, but on how to think critically about its limits – understanding where and where it should not be used.
AI is not the enemy of creativity, but it does challenge us to be more intentional. In a world of infinite data, the real advantage lies not just in automation, but in attention: attention to detail, to culture, to ethics, and to human experience. What will set campaigns apart is not just reach or efficiency, but resonance.
The future of media planning won’t be driven by AI or people alone, but by a powerful synergy between automated precision and human perspective.
Let’s not just automate faster. Let’s create better!
