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Affect Performance Team
|Google Ads|Jul 6, 2026

Dynamic Search Ads Get More Time Before the AI Max Transition

Google’s decision to delay the automatic migration of Dynamic Search Ads to AI Max is one of the clearest signals from June. Google is not reversing its move toward AI Max, but it is effectively acknowledging that the market was not ready for such an abrupt shutdown of the familiar DSA model. According to the official Google Ads Developer Blog update, advertisers now have an extended testing and voluntary migration period through January 2027, while automatic migration is scheduled to begin in February 2027.

Why This Matters

This is important not only for advertisers who actively rely on Dynamic Search Ads. It shows that even Google has to account for advertiser resistance when automation affects live campaigns, budget planning, and Q4 preparation. DSA has long been a relatively understandable tool: Google indexes the website, matches relevant searches, and lets advertisers manage categories, exclusions, and ad messaging. AI Max promises broader reach and smarter interpretation of intent, but it also makes the system feel less familiar and harder to diagnose.

In practical terms, this delay creates a better window for controlled migration. Advertisers should not wait for the automatic upgrade. They should run AI Max tests in parallel, compare search terms, landing page routing, CPA, lead quality, and the share of irrelevant queries. The broader PPC discussion around AI Max reflects a consistent concern: advertisers are not against AI itself, but they are skeptical of forced migration when transparency, control, and reporting are still catching up.

What Advertisers Should Do Now

The extended timeline should be treated as a working period, not a pause. Teams should identify which DSA campaigns are business-critical, document current performance baselines, and test AI Max before the transition becomes mandatory. The main goal is not simply to replace one campaign type with another, but to understand where AI Max expands useful demand and where it may introduce routing, relevance, or lead-quality risks.