The data: Marketers are voicing concerns about the risks their businesses face when using AI-generated information, per a survey from GWI provided to EMARKETER.
Two issues are of particular concern: a lack of verification and outdated information.
Why it matters: As AI integrations become more established, the risks that the technology poses for marketing teams can be more severe.
AI is being used as a core lever for content production, insight generation, campaign execution, and more. That widespread use means AI errors can have real consequences, and reputational and financial damage from those errors can have long-term effects.
Marketing teams carry outsized responsibility because the work they do reaches far beyond the internal organization. Yet they’re facing AI readiness problems—45% struggle with the quality of data and 39% have difficulties keeping AI compliant with brand guidelines, per Epsilon.
If teams don’t step up AI output verification, they will continue to expose their brands to serious risks.
Recommendations for marketers: Refocus AI implementation on responsible governance, even at the expense of adoption speed.
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