Summary
Over the past few years, AI has been one of the most talked-about topics, with predictions of it revolutionizing workflows and even entire industries. AI is undoubtedly a groundbreaking way to process information and generate content—its impact is akin to spell-checking in word processors but exponentially greater. And yes, AI-powered tools and workflows are set to play a massive role in marketing.
A key question remains: how will AI-driven changes impact content quality and its most crucial aspect—clear and compelling communication?
The pace of online content publishing is accelerating, and its lifespan is shrinking, particularly on social media. This shift has also affected traditional media, where typos in published articles have become commonplace.
The most valuable aspect of content is its usefulness and clarity. In today’s fast-paced media environment, content must be easy to consume, but that should not come at the cost of comprehensibility.
The increased speed of content publication and shorter lifespans present a clear problem that AI is poised to solve. AI’s ability to generate affordable content addresses this need. While this trend is still in its early stages, its effects are already visible.
Over the past year, many have had “aha” moments when experimenting with AI for image generation or text creation. AI is remarkably skilled at producing content that appears high quality at first glance, even with minimal prompts. However, this presents a significant challenge: AI-generated text may look polished but often lacks real substance. In the worst cases, the meaning becomes unclear, making it difficult to understand what the text is even trying to communicate.
A poorly written product description is not just a linguistic issue—it’s a direct obstacle to sales. Today’s consumers make purchasing decisions quickly and intuitively. If a product description creates doubt or confusion, customers will likely leave the page immediately.
Google’s “micro-moments” concept highlights this shift in consumer behavior: users expect instant and relevant answers to their needs.
Difficult-to-understand content and uncertainty-inducing language subconsciously drive users away from an e-commerce site. This is certainly not the goal of any online retailer.
The reality is that generating a single piece of product content with AI often takes roughly the same amount of time as writing it manually—if not longer. To truly gain efficiency from AI, a structured process and a sufficient volume of product data must be in place.
Moreover, the stricter the quality criteria for product data, the more human expertise is required to refine and verify the content.
Returning to the initial question—AI as a driver of efficiency in marketing. If you operate in a field where credibility, product quality, or expertise is critical, do not allow AI-generated content to be published on your e-commerce site or marketing pages without human review. Marketers must act as the final gatekeepers, ensuring that content is accurate and free of significant errors.
While factual mistakes in AI-generated text can be problematic, even stylistic elements matter. Consider whether AI’s generic tone aligns with your brand voice or if you need a more dynamic and personalized approach.
So, is AI a powerful tool? Absolutely—but only when used correctly and with an understanding of its limitations in producing meaningful content.