Generative AI has embedded itself in nearly every step of Google Ads campaign management: ad copy generation, visual creation, bidding recommendations, automatic performance summaries. The media buyer profession is evolving accordingly.
What AI already does well
Generating ad variants from a brief, identifying relevant new queries, or automatically summarizing performance reports on large accounts: these are tasks where generative AI saves considerable time, particularly on accounts with a high volume of campaigns.
What AI doesn’t yet replace
Strategic arbitration (how to allocate budget across channels based on seasonality and business goals), fine-grained understanding of local competitive context, and judgment on what constitutes a genuinely qualified conversion remain areas where human expertise keeps a clear edge.
The risk of poorly supervised automation
Automated bidding and targeting features are becoming increasingly powerful, but they strictly optimize on the signals they’re given. Imperfect tracking, amplified by heavy automation, can lead to faster and costlier budget drift than in the era of manual management.
The polarization of the consulting market
Profiles that limit themselves to automatable tasks (standard ad copywriting, repetitive manual adjustments) see their added value erode. Conversely, consultants able to define strategy, interpret business signals, and supervise automation with judgment see their expertise valued more highly.
What this changes for businesses that delegate
Choosing a consultant today involves checking their ability to use these automation tools intelligently, without blindly delegating strategic judgment to them. Human oversight remains the differentiating factor between a well-managed account and one left on autopilot without control.
To explore how these changes are transforming the profession itself, see our becoming a media buyer guide.