Google Ads mostly runs on AI now – and that’s both a blessing and a curse.
Some automations can boost performance, while others create blind spots that cost you money.
The real challenge is knowing the difference.
This guide breaks down exactly when you can trust Google’s AI and when you need to step in.
How Google Ads became an AI-first platform
Google Ads has changed. What was once a platform of manual bidding and full control is now driven by artificial intelligence, automation, and machine learning.
(For simplicity, we’ll use these terms interchangeably to describe the systems powering today’s campaigns.)
This shift brings efficiency and scale – but also a problem: you’re being asked to trust a system you can’t fully see or control.
Julie Bacchini, PPC expert and President of Neptune Moon LLC, describes it as a constant balancing act:
- “Balancing is the biggest challenge for PPC pros when it comes to Google Ads AI. We have to balance where it helps, and where it creates data black holes. We have to balance client and stakeholder desire to utilize every perceived AI advantage, with keeping a human brain in the process.”
- “AI alone can’t compete with an experienced PPC brain. It can help when applied smartly, but blindly adopting it can be a disaster. That’s why PPC professionals are still very important to the success of most Google Ads initiatives.”
The lack of transparency creates a dilemma for search marketers:
- How do you hand over budget and strategy to an AI that might optimize for outcomes you don’t want?
- Are Google’s “recommendations” really in your best interest – or designed to increase spend?
The answer isn’t blind trust or total rejection. It’s learning the nuances of Google’s AI.
Below is a framework to evaluate which features you can trust and which demand hands-on control.
High-trust automation: Features you can (mostly) set and forget
These features in Google Ads are generally reliable and beneficial, often improving efficiency and performance in ad accounts.
They’re based on solid, historical account data and have a clear objective that aligns with an advertiser’s goals.
Automated bidding strategies
Google’s Smart Bidding strategies – such as Maximize Conversions, Target CPA, and Target ROAS – are the cornerstones of this category.
When given sufficient conversion data (at least 30 conversions in the last 30 days), these systems can:
- Optimize bids at the auction level.
- Consider thousands of signals a human simply can’t process in real time.
When to trust
Use these strategies when you have a consistent conversion history and a clear performance goal (e.g., maintain a specific cost-per-acquisition or return on ad spend).
They excel at maximizing performance within a defined budget.
When not to trust
Avoid them on brand-new campaigns or in accounts with very low…
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