StackAdapt's new global report, The AI Delegation Gap, surveyed 500 marketing and advertising professionals across North America, EMEA, and APAC, plus 187 StackAdapt customers. The findings show that while 91% of marketers now use AI, only 50% are comfortable letting it act autonomously, even when performance has been proven.
The report introduces a framework for mapping where marketers will allow AI to recommend, prepare, optimize, and act, and where they insist on human oversight. That gap between comfort with AI assistance and discomfort with AI autonomy is what StackAdapt calls the AI Delegation Gap.
The boundaries of AI decision-making
Marketers are drawing clear lines. Ninety percent of respondents are comfortable with AI recommending actions, and 89% support AI preparing actions for approval. Comfort drops to 78% when AI acts within human-defined rules, and falls to 50% for autonomous AI.
"The conversation around AI is shifting from how marketers use it to how much decision-making authority they're willing to give it," said Ryan Nelsen, Chief Marketing Officer at StackAdapt. "As marketers build confidence in AI, they're gaining a clearer understanding of where it creates value and where human judgment remains essential. How those responsibilities are divided will shape the next generation of advertising."
The pressure to move faster is real but uneven. Nearly eight in ten marketers (79%) feel pressure to increase AI usage, while 59% believe leadership expectations are ahead of their organization's readiness. Only 19% say their AI tools are fully integrated into marketing and advertising workflows.
Trust, transparency, and the path to delegation
Three barriers dominate concerns about delegating more authority to AI: brand risk (63%), data quality concerns (56%), and lack of transparency (36%). Marketers are more likely to act on AI recommendations when they include clear explanations, connect directly to campaign goals, and offer confidence that actions can be tested or reversed.
Reporting and summaries (77%) and performance analysis (74%) are the most common AI use cases. Marketers increasingly want AI to identify risks, explain performance changes, and suggest next steps, rather than simply automating reports.
The report identifies six foundational elements for responsible AI delegation: context, transparency, control, testability, accountability, and connected infrastructure. These principles are meant to guide organizations as they expand AI's role while preserving governance and oversight.
For marketing professionals navigating these decisions, practical training in AI workflows can help bridge the gap between leadership expectations and operational readiness. Resources like AI for Marketing and AI for Marketing Managers offer structured approaches to building that capability.
Why this matters for marketing professionals
The report's core finding is that AI adoption is no longer the question. The question is how much authority to delegate, and under what conditions. Marketers who can define clear decision boundaries, establish governance, and build testable workflows will have a concrete advantage over teams that simply automate everything.
"Organizations that succeed with AI won't be the ones that automate the most," Nelsen added. "They'll be the ones that define clear decision boundaries, governance, and accountability as AI takes on greater authority across advertising workflows."
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