Generating text, images or video with AI has become so accessible that any business can produce content in volumes that were unthinkable just a few years ago. The question is no longer whether it can be done, but whether it should be done without judgement.
The real opportunities
Speed of production. Generating a first draft of a product description, a social media post or a customer email in seconds, instead of starting from a blank page.
Consistency of tone. With the right instructions, AI can keep a consistent brand tone across multiple pieces of content, something that’s hard to achieve when several people write without clear guidelines.
Scaling low-risk tasks. Translations, variations of the same message for different channels, or generating metadata (titles, descriptions) from existing content are tasks where AI cuts repetitive work with hardly any risk.
The risks to watch out for
Generic content that adds nothing new. If all your competitors use AI the same way, with similar prompts, the output tends to converge on the same kind of generic content. Google is also getting better and better at detecting and penalising low-value, mass-produced content.
Factual errors (“hallucinations”). Generative AI models can produce statements that sound convincing but are wrong. Publishing them without review, especially in sensitive sectors (health, finance, legal), is a real credibility risk and, in some cases, a legal one.
Losing your brand’s own voice. Content generated without clear direction tends to sound neutral and impersonal. For a small business, an authentic voice of its own is often exactly what sets it apart from bigger competitors.
Rights and originality issues. The legal status of AI-generated content varies by jurisdiction and is still evolving. It’s worth finding out about the specific implications in your sector before relying entirely on automatically generated content.
How to use it responsibly
- Use AI for the first draft, not the final result. Someone from the business should review, correct and add real nuance before publishing.
- Check any fact or factual claim before publishing it, especially figures, statistics or technical statements.
- Keep your own voice. Give detailed instructions on tone, real examples from your business and specific context, instead of asking for generic content.
- Prioritise real experience over volume. Google increasingly values content that demonstrates genuine experience (known as E-E-A-T: experience, expertise, authoritativeness and trustworthiness), not just the amount published.
- Be transparent where appropriate. In regulated or sensitive sectors, being clear about using AI to generate content builds trust, not the opposite.
The practical conclusion
Generative AI is an acceleration tool, not a substitute for judgement or for your business’s real experience. The businesses making the most of it aren’t the ones publishing the most auto-generated content, but the ones using it to produce faster the content they already knew they wanted to say.