Pitfalls of AI-Generated Content

We all need to be wary of AI-generated content in today’s world, with artificial intelligence being used in more ways than people can even keep up with. One of the most common ways that the technology is leveraged in 2025 is through AI content generation. Generative models have become advanced enough to create blogs, images and even videos, which while noticeable to more savvy internet users, are convincing enough to pull the wool over countless eyes.

With this in mind, you might consider leaning into AI-generated content to speed up your SEO strategy or marketing approach. And in all fairness, it makes sense why you might do so – with such a powerful resource available to the public, it can feel a waste not to use it. However, some significant pitfalls come with using content from AI models. This (always human-penned) blog will highlight some of the risks associated with using generative AI to create content, so you can feel more informed about how to use it… or not.

AI content lacks creativity and personality

This should go without saying but AI-generated content isn’t yet able to capture the creativity that comes with a human touch. There have already been high-profile cases in which brands have made fools of themselves with AI marketing, such as Coca-Cola choosing to eschew real artists in their 2024 Christmas campaign. Sure, if you’re writing a blog about mechanical engineering, you might not need to set the public’s imagination alight, but the work will still lack the human element needed to truly connect.

Mistakes and lack of fact-checking

There’s a good chance you’ll have to rewrite AI-generated content if you get it to write you a draft, because it often makes mistakes in everything from information to prose technique. AI content is often riddled with false statistics, repetition and improper regional spellings, which can mean you end up barely even saving time with the draft. It’s also worth noting that AI models can have significant biases in their programming, such as the Chinese DeepSeek which favours its sovereign nation’s version of history. 

Search engine & client penalisation

AI content might feel like the quickest way to rank on a search engine but most of the major ones now use AI content detector technology, penalising pieces that clearly use generated information. This can also apply in terms of commissioned content or work to published externally, with clients often using AI content checkers to determine whether they’re getting a genuine article. 

Various ethical problems

Beyond the practical issues with AI, there are plenty of ethical concerns around it’s use. People can be averse to accepting AI content because of issues such as:

• Plagiarism. AI content is fed by historic work on the internet, meaning every generated piece is intrinsically plagiarised to some degree.

• Labour concerns. Choosing to use AI takes opportunities and work away from talented artists and creators, most of whom would undoubtedly do a better job.

• Environmental issues. The data centres that house AI consume masses of water with the computers requiring huge quantities of raw materials, raising eco concerns. 

Is using AI-generated content worth it?

With these guidelines, you might consider using AI to be a complete no-go but it’s not necessarily that simple. The reality is that the technology is here to stay and it’s only going to get better so for many, choosing to leverage AI content will appear to be a no-brainer. However, we’d argue that anyone using it should learn how to humanise AI content, ensuring that whatever the model generates only acts as a base for more organic work to be completed from. 

This way, the benefits of AI’s speed and agility can be used without experiencing the same drawbacks. For more insights into the world of digital marketing and content generation, check out our blog or get in touch about our services today – trust us, we keep everything human!