For a long time, communication ran up against the capacity to produce. Making a film was expensive, creating a campaign took time, building a website mobilized an entire team, and adapting an idea for different audiences and formats demanded planning, production, revision and a considerable operation. That difficulty imposed a kind of natural filter: before making something, you had to think about whether it was really worth it.
Today, most of those barriers have fallen. You can generate dozens of versions of a text in minutes, create images, edit videos, automate processes, test approaches, personalize messages and produce an enormous amount of content with far less effort than a few years ago. This has opened up extraordinary possibilities, but it has also created a side effect we may still be learning to manage: when producing stops being the problem, choosing becomes a much bigger part of the work.
The cost of execution has dropped, but the cost of a bad decision hasn’t gone anywhere. An irrelevant campaign is still irrelevant even if it was produced in five minutes, an unnecessary email still takes up space in someone’s inbox, a video with no good reason to exist still competes for a few seconds of attention, and a brand that publishes a lot but has little to say still has little to say, it just gets to demonstrate that with impressive efficiency.
The question isn’t how to do more. It’s knowing what’s worth doing.
The tools have become much better at answering, but that doesn’t mean we’ve become equally better at asking questions. Many discussions still start with things like “how many posts do we need to publish this month?”, “can we use AI in this campaign?”, “do we need to be on this platform?” or “how many versions can we produce?”. All of these can be legitimate questions, but they usually come before a far less operational and far more important one: why should anyone pay attention to this?
It sounds like a simple question, maybe even an obvious one, and that is exactly why it is so easy to ignore. In practice, a brand doesn’t compete for attention only with its direct competitors. A bank doesn’t compete only with other banks, just as a technology company doesn’t compete only with other technology companies. Communication lands in the middle of WhatsApp messages, news, meetings, videos, series, work, family, notifications, household problems and everything else happening in someone’s life at that moment.
The competition, then, doesn’t happen only within a category. It happens within everyday life, and everyday life is already quite full. In that context, saying more doesn’t necessarily mean showing up more. Often it just means adding to the noise, especially when every brand seems to have something urgent, relevant, unmissable and impossible to put off to say at the same time.
Perhaps one of the most important skills in communication from here on is precisely recognizing when there’s no need to say more.
Artificial intelligence didn’t create this problem. It only accelerated a trend that already existed.
It’s tempting to put the whole current debate about content overload on artificial intelligence’s tab, but that would be oversimplifying. Long before it, there were already presentations nobody needed to sit through, campaigns made because “we had to do something”, posts published to fill a calendar, websites redesigned without anyone stopping to ask whether the website was really the problem, and tons of content produced because producing content seemed, in itself, like a strategy.
The difference is that now we can do all of that much faster and, in many cases, with a much better finish. That point deserves attention because it makes the problem less obvious. Today a text can be impeccably written and still have nothing relevant to say, an image can be technically perfect and completely forgettable, a video can have great editing, a great soundtrack and no genuinely interesting idea behind it.
Quality of execution and quality of thinking were never the same thing, but technology has made it much easier to confuse one with the other.
This is not an argument against artificial intelligence, automation or any other technology. Quite the opposite: these tools widen possibilities, cut operational work and can greatly improve both the quality and the speed of what gets delivered. The problem begins when the tool stops serving the thinking and starts determining what gets made, simply because it’s now possible to make it.
Sometimes the best work begins when someone questions the request.
One of the most important parts of an agency’s job may be precisely not treating every brief as a diagnosis. Clients arrive with concrete requests, such as a campaign, a website, a video, an activation, a content strategy or some piece of technology, but the initial request should be understood as a starting point, not necessarily as the answer.
In many cases, a company asks for a campaign when the problem lies in the message, asks for a new website when it hasn’t yet made its own proposition clear, asks for more content when it might need to publish less and say better things, asks for a new tool when the real gain would come from simplifying a process that already exists. There are situations in which an agency’s best contribution is to execute exactly what was requested, and others in which it is to ask whether that request is, in fact, the best answer to the problem.
That distinction matters because executing the wrong solution brilliantly is still a rather expensive way to be wrong.
For a long time, the market valued agencies mainly for their capacity to produce: to create campaigns, develop assets, assemble teams, run channels and handle an ever-growing volume of deliverables. All of that still matters, especially in complex operations, but if production is becoming more accessible, an agency’s value can’t rest solely on its capacity to make. It also has to rest on its capacity to interpret.
To interpret context, notice contradictions, make connections, recognize when a trend makes no sense for a particular company, question one path, propose another, understand the implications of a decision and, above all, be able to sustain why a choice was made.
Much of that work never shows up in the portfolio. It isn’t the final layout, the film, the website or the campaign that goes live; it’s everything that happened before, so that this, and not something else, was the decision taken.
At Media Clorians, we like to call this judgment, not as a synonym for personal taste or creative preference, but as the ability to understand why a choice makes sense for a given brand, at that moment, facing a specific problem, and also to recognize why other paths, however possible, perhaps don’t.
Not everything that looks sophisticated is necessarily intelligent.
The communication industry has become very good at building layers of sophistication around the work. There are methodologies, frameworks, dashboards, automations, presentations, artificial intelligence, research, tools and a considerable collection of jargon that help organize processes and, when well used, can improve decisions a great deal.
None of it, however, replaces a fairly simple question: what are we trying to change?
It could be a perception, a behavior, a choice, a relationship, an internal process or the way a brand is understood. What matters is that there is some clarity about what the communication intends to provoke, because when that answer doesn’t exist, it’s very easy to start discussing format before understanding the problem.
And that may be one of the most common habits in our field. We start with the post, the video, the channel, the campaign, the website or the tool, when we should be starting with the change we want to produce. Only after that does it make sense to discuss how to get there.
Scale still matters, but scale without direction is still just volume.
There are companies that genuinely need to produce a lot. National operations involve different audiences, internal departments, markets, simultaneous campaigns, multiple channels, complex schedules and an enormous number of deliverables happening at the same time. In those cases, the capacity to scale isn’t a luxury, it’s a necessity.
The problem was never quantity in itself. The problem is scaling a bad idea, a barely relevant message or a decision that shouldn’t have been made that way in the first place. Technology has made it possible to increase production, but increasing production without increasing judgment only turns irrelevance into a more efficient operation.
So the more interesting question may not be “how do we manage to produce more?”, but “what actually deserves to be scaled?”. The difference sounds small, but it completely changes the logic of the work.
Perhaps we’re entering an age of editing.
For a long time, creativity was associated mainly with the capacity to generate ideas, find paths, invent formats and produce new possibilities. In an environment of abundance, however, another skill is starting to gain ground: the capacity to select, edit and eliminate.
Editing an idea before it becomes a campaign, cutting a sequence of assets that add nothing, simplifying a journey, dropping an unnecessary feature, canceling a meeting, adjusting a content calendar, or realizing that a solution looked great at the start but stopped making sense once the problem was better understood.
This doesn’t mean doing less on principle, nor turning simplicity into a new universal rule. It only means recognizing that, when there is an almost infinite number of possibilities available, choosing what will not be done becomes as much a part of the creative process as deciding what will.
Technology will keep advancing, production will get even faster, cheaper and more accessible, and we will probably have more and more tools capable of turning an idea into something ready to publish. The world is unlikely to need help producing more things.
What it may need, more and more, is people capable of looking at all these possibilities, understanding context, making choices and deciding which ones truly deserve the space they’ll occupy.
Before asking whether we can make it, it may be worth recovering a much simpler question, one that the difficulty of production forced on us for a long time and that we now risk forgetting:
does this really deserve to exist?
