Google Ads is evolving quickly, with a wave of AI-powered creative tools now built directly into the platform. From automated ad copy to image and video generation, advertisers can now produce campaign assets faster than ever.
But speed comes with trade-offs. As automation increases, so does the risk of losing control over messaging, performance, and brand consistency.
Here’s what’s changed and what it means for your Paid Media campaigns.
AI-Generated Ad Copy Now Comes with Guardrails
Google Advertising has expanded custom text rules across AI-generated ads, giving advertisers more control over how automated copy is written.
You can now guide AI using simple instructions like:
- Avoid certain phrases
- Emphasize specific value propositions
- Maintain brand tone
This is especially important as more campaigns rely on AI-generated headlines and descriptions. This means that AI is writing more of your ads. If you are not setting rules, you are leaving messaging to the algorithm.
Nano Banana Is Transforming Image Creation
Google’s latest image model, Nano Banana, is now integrated into Google Ads and other platforms.
It allows advertisers to:
- Generate high-quality images instantly
- Maintain consistent subjects across variations
- Create production-ready visuals with accurate text
This significantly reduces the need for manual design work.
However, faster asset creation does not guarantee better performance. Without strategic direction, you risk flooding campaigns with low-quality or misaligned creative.
Veo Video Generation Lowers the Barrier to Entry
Video has always been one of the most effective ad formats, but also one of the hardest to produce.
With Veo, advertisers can now turn static images into short video ads directly inside Google Ads.
This opens the door for:
- Faster testing of video creative
- Lower production costs
- More access to YouTube inventory
But like all AI-generated assets, these videos still require review. Not every output will align with your brand or convert effectively.
PMAX Creative Theming Speeds Up Seasonal Campaigns
Performance Max campaigns now include asset group theming, allowing advertisers to quickly apply seasonal or promotional variations to existing creatives.
Instead of rebuilding campaigns, you can:
- Clone high-performing asset groups
- Apply themes like holidays or sales
- Generate updated visuals and messaging
This is a major time-saver, especially for brands with frequent promotions.
The risk is over-reliance. Automatically generated themes can miss nuance, tone, or offer clarity if not reviewed properly.
Automation Is Increasing, Control Is Decreasing
Across all these updates, one trend is clear. Google is pushing toward fully automated asset creation.
For advertisers, this creates both opportunity and risk.
The opportunity:
- Faster campaign launches
- Lower production costs
- More creative testing
The risk:
- Loss of brand control
- Inconsistent messaging
- Automatically enabled features impacting performance
How to Use These Updates Without Hurting Performance
To get value from these tools without sacrificing results, a more controlled approach is required.
At Foundery, we recommend:
- Set clear guardrails in Google Ads
Use text rules, brand guidelines, and structured inputs to guide AI outputs
- Monitor both campaign and account-level settings closely
Google frequently enables features by default. Review campaign settings regularly
- Test, don’t trust
AI-generated assets should be treated as test variations, not final outputs
- Maintain transparency
Clients and stakeholders should understand when and how AI is being used
- Keep strategy human-led
Automation should support strategy, not replace it
AI Is a Tool, Not a Strategy
Google Ads is becoming more powerful, but also more complex. The platform is making it easier to create ads, but not necessarily easier to create effective campaigns.
The brands that win will not be the ones using the most automation. They will be the ones using it intentionally.
If your campaigns are becoming harder to control or performance is becoming less predictable, it may be time to reassess how automation is being used.
Looking to improve performance while navigating AI-driven changes in Google Ads?
