AI is everywhere. That’s hardly news anymore. It’s in our work, our inboxes, our social feeds and almost every conversation about business. Every week another model launches.
Every day another founder posts about how AI transformed their company. Somewhere along the way, using AI stopped feeling like a competitive advantage and started feeling like an expectation.
If you’re building a business today, you probably use AI already. Maybe it’s helping you write emails, brainstorm ideas or create marketing content. Perhaps your team has been asked to incorporate it into their workflows, or you’ve found yourself wondering whether you’re falling behind because everyone else seems to be using it.
The conversation, however, tends to stop there. We celebrate what AI can produce, but rarely pause to ask a much simpler question.
Has AI actually made marketing easier? I think the answer is yes. But I also think the answer is no.
AI has made marketing execution dramatically easier. What it hasn’t necessarily made easier is marketing thinking. For founders, that’s a distinction worth paying attention to because execution has never been the hardest part of marketing. Deciding what deserves to be executed has always been where the real work begins.
Marketing isn’t simply about producing content. It’s about understanding people, recognising opportunities and communicating something meaningful in a way that changes behaviour. AI can certainly help with the final step. I’m less convinced it helps with the earlier ones.
AI Has Made Execution Remarkably Easy
There’s no point pretending otherwise. AI is genuinely useful. A task that might once have taken half a day can now take twenty minutes. Need headline options for an ad? A landing page? A week’s worth of LinkedIn posts? AI can generate all of that almost instantly.
If you’re a founder juggling product development, hiring, sales and customer support, having an assistant that never sleeps is incredibly valuable.
Perhaps the biggest gift AI has given us is momentum. Instead of staring at a blank page, you begin with something. Even if the first draft isn’t perfect, it’s far easier to improve an existing idea than create one from nothing. That reduction in friction is real, and for many small businesses it has made marketing far more accessible than it has ever been.
It’s little surprise, then, that reports suggest more than half of online content may already involve AI in some way. Creating has become cheaper, faster and available to almost everyone.
None of that is a bad thing. The question is what happens after creation becomes easy.
The Execution Trap
Technology has a habit of making the visible parts of work easier while quietly hiding the invisible parts that still matter.
Marketing used to force founders to think because creating anything required effort. Writing a website took time. Designing an advertisement required resources. Every decision carried a cost, so businesses naturally spent longer deciding what was worth saying before they said it.
AI changes that equation.
Today it’s possible to build the website before you’ve thought carefully about your positioning. You can publish content before you’ve decided what customers should actually remember about your brand. You can generate advertisements before you’ve identified the one idea that deserves to be advertised.
The temptation isn’t that AI produces poor work. The temptation is that it allows us to skip the difficult thinking that normally comes before the work.
I’ve noticed that many founders now spend less time asking, “What message should we own?” and more time asking, “Can AI make this headline better?” Those aren’t the same question.
One recent study found that 86% of consumers don’t trust AI generated content. I don’t believe that’s because people dislike artificial intelligence itself. More often, they recognise when communication feels generic. They sense when something has been assembled efficiently rather than crafted thoughtfully.
Speed is useful, but speed also changes our behaviour. When creation becomes effortless, it’s surprisingly easy to mistake activity for progress.
The Endless Maze of Ideas
This becomes even more important because entrepreneurship is fundamentally a thinking profession.
Founders spend very little of their time performing repetitive tasks. Instead, they spend their days solving ambiguous problems. They’re trying to discover new customers, improve their offer, enter unfamiliar markets and build businesses that people remember. These aren’t execution problems. They’re judgement problems.
AI is exceptional at generating possibilities. Give it a prompt and it will happily produce fifty ideas before you’ve finished your morning coffee. On the surface, that feels empowering. The difficulty is that AI generates ideas without assigning value to them.
Good ideas receive the same enthusiasm as mediocre ones. Weak positioning is expanded just as confidently as strong positioning. AI rarely says, “I think this is fundamentally the wrong direction.” Its role is to help you continue, not necessarily to help you choose wisely. That places an even greater responsibility on the founder.
Experience, taste and strategic judgement become more valuable, not less. AI can widen the playing field, but it can’t tell you which path deserves your attention. That’s still a deeply human responsibility.
There’s another subtle danger here too.
Expanding an idea feels remarkably similar to making progress. After an hour brainstorming with AI, you’ve generated product concepts, marketing campaigns and growth plans. It feels productive because you’ve created so much.
But ideas aren’t businesses. Sometimes we’ve simply enjoyed the emotional reward of imagining success without taking a single step towards building it.
The Great Content Sameness
There’s another consequence of making creation effortless. Everyone begins creating.
On one level, that’s wonderful. More founders are sharing what they’ve learned. More expertise is finding its way onto the internet. More businesses have a voice than ever before.
Yet the internet has started to feel strangely familiar.
It’s no longer obvious because AI has become much better at sounding human. Instead, the similarity appears in subtler ways. The same storytelling frameworks. The same headline structures. The same design templates. The same polished certainty.
Different companies. Different industries. The same rhythm.
Raja Rajamannar has described today’s marketing environment as a “sea of sameness.” I think that’s one of the most accurate descriptions of what AI has accelerated.
When everyone has access to the same tools, execution becomes commoditised. Differentiation becomes scarce.
Marketing has never simply been about communication. It’s about being remembered. If everyone sounds the same, nobody becomes memorable.
When AI Quietly Becomes Your Boss
I noticed something similar happening in my own work.
When I first started using AI as a copywriter, I used it exactly as intended. I’d write something myself, ask AI to polish a sentence or tighten the grammar, then publish it.
Over time that relationship changed.
Every article deserved one more review. Every email could probably be improved. Every script felt like it needed one final AI pass before it was ready. Without noticing it, I’d stopped using AI as an assistant. I’d promoted it to supervisor.
Instead of trusting my judgement, I found myself endlessly comparing my work against another version AI had generated. Occasionally I’d spend more time refining perfectly good work than I had spent creating it in the first place.
The irony wasn’t lost on me. The tool designed to make me faster had quietly made me slower.
The Human AI Sandwich
None of this means AI is the problem.
Like every meaningful technology, it’s simply a tool. The challenge isn’t deciding whether to use it. The challenge is deciding where it belongs.
I’ve started thinking about this as what I call the Human AI Sandwich.
The first layer is entirely human. Before AI enters the conversation, I decide who I’m speaking to, what problem I’m solving, what perspective I’m bringing and what outcome I want. Strategy comes first because AI can’t invent conviction for you.
Only then do I ask AI to help with execution. It fills gaps, generates options and accelerates the mechanical parts of creation.
Then comes the final human layer.
I simplify. I remove the AI tells. I make sure the writing sounds like something I’d actually say to another person. Most importantly, I ask whether the piece still communicates the original idea or whether efficiency has quietly diluted it.
Human first. AI second. Human last.
Marketing Was Never the Easy Part
I don’t think AI has made marketing easier. I think it’s made marketing activities easier.
Those are two very different things.
AI can amplify strategic thinking, but it can’t replace it. It can accelerate creativity, but it can’t substitute for originality. It can help founders communicate more often, but it can’t decide what is worth communicating.
In his recent encyclical, Pope Leo XIV wrote, “In the era of artificial intelligence, when human dignity is threatened by new forms of dehumanization, ours is the pressing duty to remain profoundly human.”
I think the same principle applies to marketing.
The brands we’ll remember won’t necessarily be the ones that generated the most content. They’ll be the ones that understood people better than everyone else.
AI has made quantity almost effortless. Understanding people, earning trust and creating something genuinely memorable still require the one thing technology has never been able to automate. Human judgement.
