We surveyed 879 marketers to understand how generative AI is changing content marketing: the workflows, the costs, the results…and the risks.
In this article, we’re looking specifically at the costs and budgets associated with AI content. How much does AI content cost? Are companies investing more, or less?
Read the full research report
Download and read the full PDF report here (no email required): The State of AI in Content Marketing.
It includes extra research and analysis on AI content performance and costs, expert commentary from a dozen content and AI experts, and the full research methodology.
Download here.
Segmenting the data further by company size, AI use seems to save the most money for the smallest (micro) and largest (enterprise) companies:
What the experts think
“It’s interesting that companies using AI aren’t necessarily spending less—they’re producing more with the same budget. Even though we’re still in a tough budgetary environment, companies are still investing to shift from the constant struggle of creation to focusing on strategy, audience insights, and measuring actual business impact. We’ve seen the same at Campfire—the efficiencies AI has created has allowed us to experiment more and more quickly (eg, AB testing ad copy at scale), and we’ve actually invested more in our own content in Q1 because we feel there are economies of scale to AI use that we couldn’t generate before.”
“One way to read this data: content budgets are similar across AI and non-AI-using companies. Instead of using AI as a justification for increasing spend, AI is instead being used to make the same budget go further, creating more content for the same total cost.”
