It’s no secret that embracing AI can come with a wide range of benefits for your marketing team — things like task automation, time and cost savings, increased productivity, and more. Despite these evident benefits, there is a lingering reluctance among many marketers to incorporate AI into their strategies.
In our report, The State of AI in Marketing in 2023, we found that only 35% of marketers use AI in their role. So, we wanted to dive into the challenges that marketers face when working with AI and find ways to bridge the gap.
We’ll also highlight expert insight from industry leaders so you can learn how to tackle these challenges and harness the power of AI in marketing.
Table of Contents:
The 10 Biggest Challenges When Implementing AI
Along with the benefits of using AI in marketing outlined in the image below, the challenges of implementing AI in marketing are vast.
This includes challenges related to the AI systems themselves, processes, team buy-in, and more. We‘re working through the biggest challenges and the data that justifies these day-to-day challenges. You’re not the only one feeling the struggle.
Here are 10 common challenges when it comes to AI in marketing.
1. Hampering Creativity
64% of marketers share a common concern — they believe that generative AI will alter (40%) or hamper (24%) the creativity of those who use it.
Deloitte Insights found that 42% of high-growth companies rely on marketing for their most creative ideas: “While creative ideas can come from any of these sources, the CMO is sometimes best positioned to be the champion of identifying and activating these ideas across the enterprise.”
With Deloitte Insights’ findings in mind, the notion of hampering creativity is a valid concern. We need marketing teams to feel creative. But, can AI and marketing creativity be achieved? We think so.
In our marketing and AI survey, 36% of marketers agree that Generative AI will boost the…
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