At our recent Prosh Marketing RoundTable, one of the key topics’ discussed was how AI is getting the work done faster, but speed on its own does not make the work done better.

Research that used to take days can now be summarized in hours. First drafts of campaign briefs, email sequences, social posts, and content variations can be created almost instantly. Teams can move from idea to execution with far less manual effort than before. For lean marketing teams, founders, and fractional leaders, that speed creates real value, which gives teams more capacity, more options, and more room to test. 

However, speed is not a strategy in itself. The bigger question is not whether artificial intelligence can help marketers to produce more, the question is whether it can help marketers to make better decisions. A tool can write 10 versions of a LinkedIn post, but someone has to decide which version sounds like the brand and which one is too generic. It can summarise feedback from consumers, but a marketer still has to read between the lines to understand what the customer is really struggling with. It can guide you to the right direction for your campaign, but it doesn’t always know the business pressure, the sales context, the market timing or the internal conversations behind that decision.

During the roundtable, one concern came up repeatedly: AI can make weak marketing look more polished even if the positioning is unclear, the output may sound sharper but still lack direction. If the audience is not well understood, the content may feel professional but generic. A team can end up moving in the wrong direction if the strategy is not defined, which is why marketing leadership matters even more now.

Before generating a campaign and creating content teams need to know what problem they are solving, they need to understand who they are speaking to and why that audience should care. Before building automated workflows, they need clarity on the brand’s point of view, voice, and standards. AI works best when it is guided by strong thinking.

The job of the marketer is changing too, from creating everything from scratch to directing, reviewing, refining and making the final call. Marketers need to know not only how to use AI well, but also when the output is weak. They need to catch generic language, unsupported claims, bad logic, and ideas that sound impressive but don’t mean much. In other words we can also say that it needs some taste, judgement and context.

Taste is not just about design or writing style but knowing what feels right for the brand, what will resonate with the customer, what is too predictable, and what is actually worth putting into the market. This matters even more as more teams adopt the same tools. The risk is not just automation but generated content being the same. When everyone can produce content faster, differentiation becomes harder and more important.

The strongest marketers will not be the ones who avoid AI, but the ones who use it with judgment. They will use it to reduce repetitive work, speed up research, improve workflows, and create more space for the work that actually drives value: strategy, customer understanding, brand differentiation, creative thinking, and decision-making. AI can support execution but great marketing still depends on knowing what matters, what to question, and what deserves to represent the brand.