Congratulations, Google Automated Your Dashboard. Now Do Marketing.
For years, digital marketers became very, very good at pushing buttons. Adjust the bid, change the audience, test another keyword, move a little budget from here to there, refresh the dashboard, celebrate a tiny improvement in CTR. Somewhere along the way, this became so central to the job that we started calling it strategy.
And then Google looked at all of this and basically said: Cute. We can automate that.
That is where things get interesting. Because the current wave of AI in advertising is not just making campaign management faster. It is quietly exposing how much of modern marketing had become execution-heavy, platform-dependent and obsessed with optimization. If machines can increasingly handle bidding, targeting, creative combinations and budget allocation, marketers are left with an uncomfortable question: what exactly are we supposed to do now?
There is something wonderfully ironic about the panic around AI. For the last decade, marketing became increasingly fascinated with performance, attribution, dashboards, ROAS, CPC, CPM, CTR and enough acronyms to make an accountant nervous. We got very good at knowing what happened inside the platform, but sometimes less good at understanding why someone should care about the product in the first place. Knowing where to click inside Google Ads Manager became a valuable skill, and rightly so. But it was never the same thing as understanding a market. Now that platforms are starting to do more of the clicking themselves, the distinction is becoming painfully obvious. And perhaps that is not such a bad thing.
If an algorithm can decide which bid to place, which audience to target and which creative combination is most likely to perform, I am not sure we need to mourn manual campaign tweaking too dramatically. Nobody entered marketing because they dreamed of spending their career deciding whether €1.42 or €1.47 was the perfect bid. The interesting part of marketing was always somewhere else. It was understanding why people buy, why they do not, what they value, what they remember, how they compare alternatives and why one brand somehow feels more relevant than another. It was about competitors, positioning, pricing, products and people. Those questions are much less tidy than a dashboard, unfortunately.
For years, we added “digital” in front of everything as though the internet had rewritten human psychology. Digital strategy, digital consumers, digital funnels, digital transformation. The technology changed enormously, but consumers did not suddenly become a new species because they downloaded Instagram.
People still have habits, biases, needs, memories and limited attention. They still make irrational decisions, ignore most advertising and sometimes choose products for reasons that do not fit nicely into a funnel. Perhaps the biggest consequence of AI will therefore not be creating an entirely new form of marketing. It might simply push us back toward some very old fundamentals.
And that may be the funniest part of all this. After years of chasing new platforms, hacks, tools and optimization tricks, the great AI revolution might force marketers to rediscover something remarkably unfashionable: marketing fundamentals.
Maybe AI is not killing marketing. Maybe it is simply automating the part we mistakenly allowed to become marketing.If Google wants to optimize the bids, let Google optimize the bids. The rest of us have customers to understand.
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