The news: Personalized AI is no longer a nice-to-have feature—it’s a driver of adoption that inspires trust in the efficacy of AI solutions.
The survey polled US knowledge workers ages 22 to 39 years old who have—or want to have—a leadership position at work.
Why it matters: Employees’ trust in AI tools teeters between excitement about potential resource savings and skepticism about its capabilities. Challenges to mass adoption include insufficient training and a lack of organizational knowledge about AI’s best use cases.
Zooming out: Personalization could be a competitive differentiator for companies looking to scale communications and output efficiently. Several AI firms are hopping on this opportunity.
What CMOs should do: Position AI tools to employees as workflow accelerators by emphasizing benefits like better first drafts, data analysis, brand-specific market research, easier on-the-go emailing, and more context-aware automation access teams.
Ensure AI tools on deck can learn style and brand voice and deliver outputs that are aligned with employees’ goals and tasks. Encourage employees to experiment with custom GPTs and Google Gems to develop role-specific tools that can follow workflows across the organization.
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