Blog Details

AI adoption in marketing has moved past the experimental stage. Most teams now use it in some form. The harder, more useful question isn't whether to use AI; it is how much to trust it with, and where a human still needs to be in the loop.

Adoption Is High; Maturity Is Rare

• Almost everyone has adopted something: recent surveys put AI adoption among marketing teams anywhere from the mid-60s to upwards of 88%, depending on how using AI is defined.
• Few call their rollout mature: some industry reports suggest only around 1% of organizations describe their generative AI investment as fully mature.
• Training has not kept pace: a majority of marketers report receiving no formal training on generative AI tools despite using them daily.
• Review is still the norm: the vast majority of companies using AI-generated content edit or review it before publishing.

Where AI Genuinely Helps

• First-draft generation for captions, ad copy, and outlines, removing the blank-page problem.
• Summarizing and analyzing large sets of customer or campaign data quickly.
• Personalizing messaging at a scale no human team could manage manually.
• Repurposing one piece of content into multiple formats and platforms.

Where a Human Still Has to Own the Decision

• Brand voice and tone, especially for sensitive topics or client-facing testimonials.
• Strategic decisions about budget, positioning, and messaging direction.
• Anything published under a client's name or reputation.

A Useful Resourcing Rule

One widely cited principle for AI implementation splits investment roughly 70% into people and process, 20% into technology and data, and only 10% into the algorithms themselves. The tool is rarely the bottleneck; how a team uses it usually is.

Final Thoughts

AI should remove repetitive work from your team's plate, not remove your team's judgment from the final output.

At Advantus, we use AI to move faster on the first draft, and rely entirely on our own people to decide what actually goes out under a client's brand.