AI-generated ads are moving from experimentation to mainstream use. This chart shows how widely marketers are already deploying AI in paid media.

Essential Statistics

• A significant share of marketers already use AI-generated ads.
• Adoption was higher among performance teams.
• Experimentation exceeded full replacement.
• Creative testing volume increased with AI use.
• Concerns around quality remained.

Key Takeaways

• AI ads are becoming standard practice.
• Performance teams adopt faster than brand teams.
• AI is used more for testing than final creative.
• Quality oversight remains necessary.
• Ad velocity is increasing.

Actionable Insights

• Use AI-generated ads to expand creative testing volume without increasing costs. Scale experimentation, not risk.
• Keep humans involved in final creative approval to protect brand standards. AI output still needs judgment.
• Segment AI use by campaign type. Performance ads benefit faster than brand campaigns.
• Measure creative fatigue and iteration speed, not just CTR. AI’s value shows up in velocity.
• Build guardrails before scaling AI ad generation widely.

AI makes ads faster to produce, not safer to run. — Neil Patel