We built a Google Ads proposal for a B2B technology client recently in a fraction of the time it would have taken us two years ago. AI helped us work through keyword research, campaign structure, rollout planning and projected performance. The output was detailed, organised and ready to discuss.
The strategy in it was still ours. That distinction is the whole argument. AI didn’t decide what mattered to the client’s business, which keywords to ignore, where the margin actually sat, or how the campaign needed to flex against their commercial goals. It accelerated the work around those decisions. It did not make them.
This is what AI looks like in practice at Cloud Cartel. It is part of how we work, not as a replacement for the team, but as a way to move faster, test ideas earlier and reduce the friction between an idea and its execution.
AI Is A Floor Raiser
The biggest shift I have noticed is that AI is a floor raiser. It gives more people access to information, structure and execution than ever before. Tasks that once required hours of research, planning or technical support can now be progressed in minutes. For small teams and business owners, that is a significant change. It reduces the barrier to entry and makes it easier to act on ideas that previously sat untouched.
That is genuinely good. But raising the floor is not the same as raising the ceiling, and that is where the conversation usually gets muddled.
Feeling Informed is Not the Same as Being Experienced
Anyone can now ask an AI about SEO, Google Ads, web design or brand strategy and get a confident, well-structured answer. On the surface, that can look like expertise. It isn’t.
Knowing the terminology is not the same as knowing how something behaves in the real world. That depth only comes from doing the work. Getting stuck, testing assumptions, making mistakes, reviewing results and refining your thinking over time. It is where you learn why one campaign converts and another quietly burns budget. It is where you learn why a website can look polished and still fail to guide a single user toward a decision.
That process is where judgement is formed. AI doesn’t shortcut it. If anything, it makes the gap between people who have done the work and people who have read about it more obvious, not less.
The Slop Problem
AI can produce work that looks polished very quickly, but polished does not mean effective. The risk for businesses is mistaking activity for progress. A blog has been published, a campaign has been drafted, a content calendar has been filled, and none of it is necessarily connected to a clear commercial goal. It may not support your positioning, speak to the right customer problem, or move anyone closer to a decision.
This is where AI slop becomes a strategic problem. Not because the writing is bad, but because the thinking behind it is missing. It can sound fine, read fine, and still do nothing for the business.
Good strategy gives the work a job. It defines who you are speaking to, what you need them to understand, where the piece fits in the customer journey and what action it should support. Without that thinking, AI just helps you produce more. And more is rarely the problem businesses actually have.
What this Means for Agencies
It changes the role we play, and it should. Clients have access to the same tools we do. Many are already using them. Holding the tools is no longer the value we sell.
What we sell now is the part AI can’t. Knowing which output is worth pursuing, which campaign idea will actually cut through, which message aligns with the brand, and which decisions will produce a result that matters to the business. We join AI’s speed to the judgement that comes from years of watching what works and what doesn’t in this market. Output is cheap. Knowing what to do with it isn’t.
The Shift
For businesses, this is the real change. Access to information is no longer the advantage it once was. Speed of execution is no longer the advantage either. As both get easier, the value moves further upstream, into the quality of the thinking that guides the work.
The businesses that get the most out of AI will be the ones who pair it with a clear strategy, a strong brand position and people who know what good actually looks like. That is the work worth investing in. Everything else is just faster output.
