In an ever-increasingly connected world, artificial intelligence is beginning to find its way into every aspect of our lives. We are “on” 24/7and we rely more and more on our devices, particularly our mobile devices, to help us make decisions. That rapid increase in computing power has done more than help the user. It has equipped companies with an unprecedented capacity to automate processes that previously required hours, days, and weeks of human effort. AI has allowed companies to target, adjust, and adapt at an unimaginable pace. In the same way that Siri acts as a personal assistant for its users, marketing companies are now tapping into AI to act as a personal assistant in the creation of highly effective marketing campaigns.
Currently, agencies (and their clients) use AI to sort
through assets to determine and/or refine the target audience, to gather data about how to best position a brand in various contexts, and to create varied advertisements intended for a wide variety of mediums, including everything from billboards to social media. The final piece is still largely in its infancy, but will no doubt continue to grow and evolve as AI become faster and smarter. Today, the goal of AI in advertising is to optimize campaigns by placing ads in front of the right customer at the right time. As technologies evolve, advertisers will be able to limit their ads on the basis of a huge array of parameters, most of which we’re all familiar with. Targeting an individual will be based on hundreds of parameters and actions, all quantified and measure in the blink of an eye. And creative (and its placement) will adapt in near real-time. In other words, they’ll be able to micro-target at a faster pace than we can imagine.
All of that makes sense, but humans are more than individuals, we are part of broader cultural systems, which means context and cultural cues matter. Yes, each customer is unique and therefore each customer journey is unique. However, there are broader social, symbolic, and cultural forces that guide our behavior depending on the situation at hand. So, the question is, can AI account for those cultural patterns and processes?
Considering the rapid developments in machine and deep learning, these systems will become increasingly capable of teaching themselves to make more precise and effective decisions based on a broader set of inputs. Ultimately this means that for AI to be truly move beyond transactional relevance, it will need to have a more balanced approach, which is to have a robust understanding of people’s aspirations, interactions with each other, and social connections. What are they trying to get done, what are the barriers to that, how do they create a sense of belonging, etc.?
We create culture, interact with it, are affected by it, and can even be destroyed by it. Culture applies its own logic, has a memory, endures after its makers are gone, can be repurposed in supple ways, and can induce action. Because culture can do things we cannot do as individuals, like fostering collective action or making life easier by providing unspoken assumptions on which we can base our lives, AI will need to evolve to do more than react to clicks.