AI has changed content marketing incredibly quickly.
A blog that once took hours can be generated in minutes. Social posts can be produced at scale. Emails, landing pages, articles and campaign concepts can all be created faster than ever before.
For marketing teams under pressure to produce more with less, the appeal is obvious.
But we’re starting to see the next phase of AI-generated content emerge.
It isn’t just about what AI can create anymore. It’s about whether platforms and audiences can tell when it has.
Recent developments around Claude have brought AI provenance and the identification of AI-generated content back into the conversation. At the same time, some of the world’s biggest platforms are investing more heavily in identifying, labelling and managing AI-generated content.
For marketers, that’s important. For organisations operating in healthcare, finance and other regulated sectors, it matters even more.
When your marketing depends on trust, the question isn’t simply whether AI can write your content. It’s whether it should.
Platforms are getting better at identifying AI content
For the past few years, the conversation around AI and content has largely focused on creation.
- How quickly can we produce it?
- How much can we automate?
- Can AI write our blogs, social posts and website copy?
Now, the conversation is shifting towards transparency and quality.
LinkedIn has announced measures designed to reduce the distribution of generic content, including systems trained to recognise signals associated with what it describes as “AI slop”.
Crucially, LinkedIn isn’t simply looking for whether AI has been involved. It is looking at whether content adds genuine perspective, context or expertise, or whether it feels generic and repetitive.
When content appears to be AI-generated and lacks that clear perspective, LinkedIn says it is less likely to be widely distributed beyond someone’s immediate network.
TikTok is moving in a similar direction.
The platform is investing further in AI labelling and content provenance and testing improved detection systems for accounts publishing AI-generated spam.
And some of the areas it has specifically identified for greater scrutiny? Financial advice and medical content.
This isn’t an argument against AI
There is an important distinction to make here.
AI isn’t inherently the problem. It can be incredibly useful.We use AI too at Wrapped. It can support research, help explore ideas, speed up repetitive processes,challenge thinking and so much more.
Used properly, it can make good marketers more efficient. The problem comes when efficiency starts replacing expertise.
Giving an AI tool a prompt and publishing whatever comes back might allow you to produce significantly more content. But more content isn’t necessarily better content, and the platforms distributing that content appear to agree.
In regulated sectors, there’s another layer: trust
Imagine you’re researching a medical condition.
You find an article explaining your symptoms, potential treatments and what you should do next.
Would knowing that nobody with medical expertise had been involved in writing or reviewing it change how much you trusted it?
Now imagine you’re making a significant financial decision.
You’re reading content about your pension, mortgage, investments or savings.
Would you feel differently if you knew the apparent “expert” explanation had simply been generated by AI and uploaded?
That’s where this conversation becomes particularly important for regulated brands.
Healthcare and financial content doesn’t just need to rank, reach people or generate engagement.
People use it to make important decisions. This means that accuracy, context and nuance are so key. And knowing that genuine expertise sits behind the information is most important.
Your content is part of your trust infrastructure
It’s easy to think of content as an acquisition tool.
A blog generates organic traffic, a LinkedIn post creates engagement. But for regulated organisations, content is doing something else at the same time.
It’s helping people decide whether they trust you.
Every article, post, guide and landing page contributes to someone’s perception of your organisation.
- Does this business understand my problem?
- Do they know what they’re talking about?
- Can I trust the information they’re giving me?
- Would I feel comfortable putting my health, finances or another important decision in their hands?
That’s why generic AI content creates a bigger strategic risk in high-trust sectors than simply losing a few percentage points of engagement.
If your content starts to feel interchangeable with everyone else’s, you’re weakening one of the things it should be building: authority.
Expertise is becoming the differentiator
There is an irony in what AI has done to content marketing.
When producing content was difficult, simply publishing useful information could help a brand stand out. Now almost anyone can generate thousands of words about almost anything in seconds.
Content itself is no longer scarce. Genuine expertise is.
A medically trained writer can understand why a particular phrase needs more nuance.
A financially trained copywriter can recognise when an explanation could be misleading without additional context.
A subject matter expert can add experience, perspective and detail that doesn’t come from simply synthesising information that already exists online.
And a good creative team can turn that expertise into something people actually want to read.
That’s becoming increasingly valuable.
Because if every brand has access to the same AI tools, the competitive advantage can’t simply be using AI.
It has to come from what you add to it.
So, should regulated brands stop using AI?
No.
That would miss the point entirely.
The better question is where should AI sit in your content process?
There’s a significant difference between using AI to support human expertise and using AI to replace it.
AI might help your team explore a topic, organise research, generate initial ideas or improve efficiency.
But when you’re publishing content under the name of a healthcare provider, financial organisation or another high-trust brand, there should still be genuine expertise and accountability behind what reaches your audience.
That means having the right people involved. Writers who understand the subject. Specialists who understand the platform. Experts who can validate technical claims. And processes that make sure what gets published is accurate, useful and appropriate for the audience.
AI should make that expertise more efficient. It shouldn’t become a substitute for it.
What does this mean for your content strategy?
The temptation over the last few years has been to use AI to increase output.
More blogs. More social posts. More emails. More pages.
But if platforms increasingly prioritise original perspective and genuine expertise while becoming better at identifying mass-produced AI content, volume alone becomes a weaker strategy.
For regulated brands, the opportunity is to move in the opposite direction.
- Create content with something to say.
- Bring your internal experts into the process.
- Add original insight, experience and perspective.
- Make complicated information genuinely easier to understand.
- Build content around the questions your customers and patients are actually asking.
- And use AI where it improves that process, rather than allowing it to become the process.
Human expertise isn’t becoming obsolete. It’s becoming more valuable.
AI is going to remain a major part of marketing.
The tools will get better. Workflows will become more sophisticated. And the distinction between content created entirely by humans and content created with AI support will continue to become more complicated.
But the direction platforms are taking should tell marketers something important.
Quality, originality, transparency and expertise still matter.
For regulated brands, they always have.
At Wrapped, our content team includes specialist in-house copywriters, including medically and financially trained writers who understand both the subjects they’re communicating and the environments our clients operate within.
We use technology to support that expertise, not replace it.
Because when you’re communicating information that people need to trust, producing content faster isn’t the ultimate goal.
Producing content worth trusting is.
