In a few short years, AI has completely redefined how the majority of marketing teams work. Marketers use it to analyze performance, summarize reports, support creative development, identify patterns, and make campaign workflows more efficient.
According to The AI Delegation Gap, more than 90% of marketers use AI tools, and most report some form of performance improvement. But how much control are advertisers willing to give AI inside campaign workflows?
Using AI to move faster is one thing. Trusting AI to influence budget, targeting, creative direction, optimization, or campaign strategy is another (and requires a higher level of confidence).
AI and Trust in Advertising
That distance between using AI and trusting it with greater decision-making authority is the AI delegation gap. It’s changing how teams divide responsibility between people and AI, from everyday workflow support to campaign decisions that require judgment, context, and accountability.
It shows up as a spectrum: AI can provide information, recommend actions, prepare actions for approval, act within rules set by humans, or operate autonomously.
Marketers Prefer Controlled Delegation
Marketers are most comfortable when AI operates within clear human-defined boundaries. Nearly all surveyed marketers (90%) agree AI should recommend actions while humans decide, 89% agree AI should prepare actions for approval, and 78% agree AI should take action within rules set by people.
Comfort drops when AI moves toward autonomy: only 50% agree AI should operate autonomously where performance is proven.
As AI moves closer to decisions that affect budget, brand safety, or campaign strategy, advertisers want stronger rules, clearer controls, and confidence that recommendations reflect brand goals, business priorities, and market context.
Marketers should think about AI authority by workflow, because comfort changes depending on the stakes of the task.
Trust is the Main Barrier to Deeper Delegation
The biggest barriers to deeper AI delegation are trust-related: 63% of marketers cite brand risk, 56% cite data quality concerns, and 36% cite lack of transparency as reasons they hesitate to delegate more control to AI.
A stronger recommendation explains what changed, why it matters, which goal it supports, and what the expected outcome could be. Marketers are more comfortable delegating when AI can show its reasoning, operate within safeguards, and make it easy to test, pause, or reverse an action.
Marketers should evaluate AI recommendations based on the context, inputs, and expected impact behind them.
Human Oversight Remains Essential
Human oversight remains strongest around decisions that shape strategy, brand identity, and business priorities. In the research, more than 75% of respondents wanted human approval for budget allocation, targeting strategy, and creative messaging.
AI can support these areas by identifying spend opportunities, generating ideas, detecting creative fatigue, or analyzing performance against a chosen goal. But marketers still want people to decide how budget is distributed, what the brand should say, and which outcomes matter most.
Marketers should reserve the strongest human involvement for decisions that define strategy, brand direction, and business priorities.
What Advertisers Need to Do Next
As AI takes on a larger role in advertising workflows, advertisers will need a clearer operating model for delegation: where AI can create speed, where it can support decisions, and where human judgment remains essential.
That starts with decision rules. Teams need shared expectations for which actions AI can recommend, which actions require approval, and which tasks can be automated within set limits. They also need clarity on who reviews AI outputs, who can override them, and who is accountable when AI influences a campaign decision.
Advertisers will also need to strengthen the inputs behind AI-assisted decisions. Connected data, clear campaign goals, documented brand rules, and reliable measurement all make it easier for teams to evaluate whether AI recommendations are useful.
The advertisers that benefit most will be those that combine AI’s speed and pattern recognition with the governance, context, and human judgment needed to delegate responsibly.
Ryan Nelsen serves as Chief Marketing Officer for StackAdapt where he leads all aspects of global marketing, communications and brand.
