The AI trust gap is costing marketers

TL;DR: The AI trust gap is the distance between how fast marketers act on AI-generated insight and how rarely they verify it. New GWI research finds 72% of marketers say their organization has made a significant business decision based on AI-generated insight that later turned out to be wrong or misleading, with financial losses, customer complaints, and reputational damage already recorded.

72% of marketers acted on AI insight that turned out wrong

Ask an AI tool about your audience and you get a fast, fluent, confident answer. It looks right, it fits the deadline, so it goes straight into the campaign. AI in marketing has made insight instant, and it's made it easy to act on an answer before anyone checks whether it's true. New GWI research puts a number on how often that backfires: 72% of marketers say their organization has made a significant business decision based on AI-generated insight that later turned out to be wrong or misleading. That distance, between how fast teams act on AI and how rarely they verify it, is the AI trust gap, and it's already costing money.

The research surveyed over 450 marketers across the UK, US, and Singapore.

The costs are already on the books 

Bad insight doesn't stay theoretical. These AI marketing risks land in two places. Customers feel one side of it: 37% of marketers say acting on inaccurate or misleading insight has led to financial losses, 35% have dealt with customer complaints, and 32% have taken reputational damage.

The team absorbs the other side: 44% say inaccurate AI outputs have forced them to redo work, 41% say it delayed decision-making, and 21% say it damaged campaign performance. Each one is time, budget, and credibility spent cleaning up an answer that looked solid the first time around.

The AI trust gap: everyone sees it, few close it 

Almost every marketer can name the danger: 91% believe the risk of making business decisions based on inaccurate AI-generated insight is significant. Far fewer act on it: only 37% say they verify AI-generated insights most of the time.

Part of the reason is that stale information doesn't look stale: 81% agree AI makes it easier for outdated information to influence decisions. It plays out in practice, too, with 76% admitting they've accidentally used data they later realized was out of date.

So why do so many teams see the risk and still skip the check? That's the question GWI's upcoming report takes on.

Accuracy matters more than speed

Jason Mander, Chief Insight Officer at GWI, puts the priority plainly:

"Marketing teams are under pressure to turn insight into action quickly. But when an AI-generated answer informs a campaign or strategic decision, its accuracy matters even more than its speed. These findings show the business cost of acting on incorrect insights."

Speed still matters. The work is to make every fast answer traceable back to real people, so verifying AI insights becomes a routine step in the workflow.

"AI is only as reliable as the data behind it. Verification means knowing where an insight comes from, how the underlying data was collected and whether it's still up to date. These checks need to be built into everyday workflows, so that when an insight informs a campaign or business decision, there's strong evidence behind it."

This is the case for grounding AI in trusted human data. Integrating human intelligence into the ecosystem, GWI combines proprietary data from real people with AI, so the insight behind a decision has verified human behavior underneath it.

Read the full report in November

These findings are a preview of GWI's upcoming report, Artificial Confidence: The AI Trust Gap, launching in November. It explores how businesses use AI to understand their audiences, the risks of relying on unverified insights, and the role of trusted human data in decision-making.

Want to close your own AI trust gap before the next campaign rides on an answer you can't check? See how GWI combines proprietary human data with AI at gwi.com.