Marketing organizations are increasingly adopting artificial intelligence to help analyze data, uncover insights, and deliver efficiency gains, all in the pursuit of optimizing their campaigns. The era of AI augmentation to assist marketing professionals will continue to gain momentum for at least the next decade. As AI becomes more pervasive, this shift will inevitably reshape the makeup and focus for marketing teams everywhere.

Humans will retain control of the marketing strategy and vision, but the operational role of machines will increase each year. By 2025, it is projected that 70% of lower-level administrative duties will largely disappear as artificial intelligence tools become more deeply entwined in the operations of marketing departments. Similarly, many analytical positions will become redundant, with smart chatbots expected to assume up to 60% of daily responsibilities.

However, the jobs forecast is not all doom and gloom because the demand for data scientists will explode. The ability to aggregate and analyze massive amounts of data will become one of the most sought-after skillsets for the rest of this decade. By 2028, the number of data science positions is expected to grow by 30%, remaining immune to economic pressures. These roles will be less susceptible to budget cuts, highlighting the critical importance of data analysis in the evolving marketing landscape.

AI Marketing Trends Impact Vertical Industry Groups

In addition to affecting job roles, the AI revolution is expected to supercharge marketing functions across nearly every type of industry. Two obvious examples include the retail and healthcare sectors. The retail industry has been quick to integrate AI to deliver efficiencies and increase sales. One emerging innovation is to combine neural networks with a shopper and a product to create new retail marketing experiences. For example, starting in 2024, you can expect an AI assistant to showcase an item of clothing on a model with similar dimensions to see exactly how it will look in various poses. Most industry watchers believe that such immersive, highly personalized virtual experiences will be the future of retail.

AI is also creating a radical new reality for the healthcare industry. For instance, digital twins are becoming increasingly ubiquitous for researchers, physicians, and therapists. A digital twin is a virtual model that accurately replicates a physical object or system. In this way, users can simulate physical processes through digital twins to test various outcomes without involving actual products or people, which greatly reduces operational costs and risks to public safety. For example, AI-powered digital twins could usher in new ways of marketing healthcare services for an aging population, by allowing people to live independently for longer. Or such twins might be used for future drug development projects.

AI will also play a pivotal role in the early diagnosis of potential health issues. For example, full-body MRIs will tap into the ability of AI to identify, analyze, and predict data patterns to help diagnose diseases long before any symptoms are visible to the human eye.

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