Where should AI agents stop and human judgement begin?

Where should AI agents stop and human judgment begin in advertising? As AI tools become more advanced, they are now able to execute campaign changes directly, eliminating the need for manual steps. Advertisers can simply tell the agent to pause underperforming campaigns or adjust bids, allowing them to focus on strategy and testing.

Leading AdTechs are upgrading their AI tools to include campaign co-pilots that can assist with creation, editing, targeting, budgeting, scheduling, creative management, and reporting through a single conversation.

However, AI agents require critical input and oversight from advertisers to function effectively. Without proper data, context, and strategy, AI use can become counter-intuitive and lead to potential complications. The line between AI agents and human judgment becomes clear when considering accountability. When a human reviews a recommendation and makes a change, the decision is theirs, and if it goes wrong, the reasoning can be traced.

But when an agent executes autonomously, the chain of accountability becomes less clear. An automated bid increase applied at scale may seem right based on the data, but it may not account for recent competitor announcements, internal brief changes, or brand issues being handled behind the scenes. A human would have caught these factors.

There are specific campaign tasks well-suited to autonomous execution, such as pausing campaigns that hit budget caps or generating performance summaries. These are operational tasks, while strategic decisions should still be made by humans. AI agents perform better when given proper context, such as detailed information about goals, funnel structure, and target CPA.

Before granting execution-level access to AI agents, advertisers should consider the scope of the access and the risk it entails. Execution-level access requires more deliberate governance compared to reporting access, as the risk now extends from data visibility to the ability to make changes.

Determining where the line between autonomous execution and human oversight should be drawn depends on the clarity of the defined strategy above the automation. Most campaign setups currently rely on human involvement to address gaps that arise. Advertisers should clarify which conversion events truly matter to the business, differentiate routine adjustments from decisions requiring human sign-off, and define when the agent should flag issues instead of acting.

Establishing explicit rules before automation is running is crucial to avoid errors. As AI agents become more prevalent in advertising, it is essential for advertisers, platforms, and partners to define the appropriate level of access and establish clear guidelines to ensure successful and accountable implementation.