AI has made it easier than ever to create content. In a matter of seconds, you can generate a blog post, rewrite a webpage, create social media posts, develop an email campaign or turn a few bullet points into what looks like a polished article. As a marketer, I understand the appeal. Anything that can help us move faster and get past the blank page is useful.
But I think we are entering a different phase of AI-generated content, and the question is becoming less about whether AI can create content and more about what the human actually contributed to it.
As AI becomes more embedded in content creation, transparency and provenance are becoming bigger issues. AI providers are exploring ways to identify content generated or influenced by their systems, including watermarking and other forms of provenance technology. That doesn’t mean there is going to be a magical detector that can look at every piece of content and definitively tell you that AI wrote it. Watermarking is about creating a signal that can indicate AI involvement, and it doesn’t tell you whether the information is accurate, whether a human substantially edited it, or whether the person using the technology actually understands the subject.
That distinction matters because AI-generated content isn’t automatically bad content. The problem is when we start using AI to replace expertise instead of helping us communicate it.
AI Can Help You Create. It Can’t Give You Experience.
I use AI in my own work, and I think pretending otherwise misses the point. AI is incredibly useful for brainstorming, organizing information, researching a topic, identifying gaps and helping turn an idea into something usable. It can eliminate a lot of the tedious work that used to take hours.
What it can’t do is give you 30 years of experience working with B2B companies and manufacturers. It can’t sit in a sales meeting with a customer and understand the nuance behind why they are considering changing suppliers. It can’t walk through a manufacturing facility and notice something that doesn’t make sense about the way a company is operating. It can’t draw on conversations you’ve had with hundreds of business owners and recognize a pattern that keeps showing up. That is where the real value is.
The danger is that it has become incredibly easy to ask AI to create content that sounds knowledgeable even when the person publishing it doesn’t have much firsthand knowledge of the subject. The result is content that may be grammatically perfect and technically accurate but doesn’t actually say anything new. And we are going to have a lot more of it.
When Everyone Has AI, Generic Content Loses Its Value
Think about what happens when everyone has access to essentially the same technology. The ability to produce content quickly stops being much of a competitive advantage.
If I ask AI to write an article about the biggest challenges facing manufacturers and my competitor asks AI to write the same article, we’re probably going to end up with remarkably similar information. We might use different wording, but the underlying ideas aren’t particularly different. That is why I don’t think the answer to AI-generated content is simply to produce more of it.
If everyone is publishing more, publishing more doesn’t necessarily make you more visible. It can actually make it harder to stand out because there is so much information competing for attention. The companies that have something genuinely useful to say are going to have an advantage.
Your Experience Is the Content Moat
This is particularly important for manufacturers because there is an enormous amount of valuable knowledge sitting inside manufacturing companies that never makes it into their marketing.
Your salespeople know the questions prospects ask before they buy. Your engineers know the problems customers consistently run into. Your production team knows where projects tend to go wrong. Your customer service people know what frustrates customers. Your leadership team has a perspective on the market that comes from actually being in it every day.
That is content.
A machine shop can ask AI to write an article explaining CNC machining, and it will probably produce something perfectly acceptable. But there are thousands of machine shops that could publish essentially the same article.
What makes your company different is what you’ve learned from doing the work. Tell me about the difficult project that taught your team something. Tell me why customers choose you instead of another shop. Tell me what prospects misunderstand about your capabilities. Tell me what has changed about your customers’ buying behavior. Tell me about a problem you solved that initially looked like something completely different.
AI can help you turn those experiences into a compelling piece of content. It shouldn’t be making up the experiences for you. Your proprietary data, customer insights, firsthand experience and perspective are becoming some of your most valuable marketing assets.
This Matters for SEO and AI-Powered Discovery
It also has implications for SEO and the way people discover companies. We’ve spent years talking about creating content for Google, but now we also have to think about how companies are discovered through AI-powered search and answer engines. Those systems have access to an enormous amount of information, much of which is becoming increasingly similar.
If the internet is filled with thousands of articles saying essentially the same thing, simply publishing another version isn’t going to give your company much of a competitive advantage. Original research matters. Proprietary information matters. Firsthand experience matters. Specific examples matter. Having a perspective that isn’t simply a rearrangement of everything already available online matters.
I believe that is where the opportunity is for manufacturers. You have information that isn’t available everywhere else, but you have to be willing to put it into your marketing.
The Best Workflow Is AI + Human
I don’t think the answer is to reject AI and go back to doing everything manually. That doesn’t make much sense either. Technology should help us eliminate unnecessary work and spend more time on the things that actually require human judgment.
The workflow I recommend is to start with the human. Start with the customer problem, the experience, the data, the story or the point of view that you want to communicate. Then use AI to help organize your thinking, research supporting information, identify gaps and turn your ideas into different formats.
Then bring the human back into the process. Read it. Challenge it. Correct it. Add your examples. Add the details that only you would know. Make sure the claims are accurate and that the content actually sounds like your company rather than a machine trying to sound like your company. Because ultimately, your reputation is attached to the content, not the AI tool.
I don’t think AI is going to kill content marketing. I think it is going to force us to get better at it. When anyone can create a competent 1,000-word article in thirty seconds, competence isn’t the differentiator anymore. Experience is. Insight is. Original thinking is. Knowing your customers well enough to tell them something they haven’t heard from everyone else is.
AI can help you get your expertise out of your head and into the marketplace faster, but the expertise still has to come from somewhere.