Google Forces 200K Advertisers to AI Max: DSA Dies in September

Performance marketers running Dynamic Search Ads have five months to prepare for the biggest forced migration in Google Ads history. Starting September 2026, Google will automatically convert all DSA campaigns to AI Max, removing manual targeting controls that advertisers have relied on for years. For the 200,000 marketers already using AI Max, this validates their early bet. For everyone else, it's time to rethink how search campaigns work.

The Problem

Dynamic Search Ads solved a real problem: keeping search campaigns current for sites with thousands of products or rapidly changing inventory. Set up your website feed, pick which sections to target, add negative keywords, and DSA would generate headlines and match queries based on your actual page content. It worked well enough that DSA became the default for large e-commerce operations and publishers with deep content libraries.

But DSA has fundamental limits. According to https, AI Max uses a broader set of signals to match ads instead of relying mainly on indexed website pages. The old system could only work with what it could crawl and index. Miss a robots.txt update? Your best-converting pages might never show. Site structure changed? DSA would keep serving the old URLs until re-indexing caught up.

The bigger issue is control granularity. DSA let you target specific URL patterns or page categories, but that manual structure is becoming a bottleneck. As search intent gets more complex and Google pushes broad match everywhere, the page-level targeting that made DSA predictable now makes it rigid. Google's solution? Remove the manual controls entirely. AI Max analyzes website content, campaign assets, and user intent signals simultaneously, deciding which queries to match without keyword lists or URL targeting rules.

Options on the Table

Advertisers facing this migration have four paths, each with distinct trade-offs:

Option 1: Migrate voluntarily before September. This gives you control over timing and lets you run parallel tests. You can validate performance changes, adjust budgets gradually, and maintain your negative keyword lists through the transition. The downside? You're committing to AI Max before seeing how the mass migration affects auction dynamics. Early adopters might face higher CPCs as the system learns.

Option 2: Wait for automatic migration. Let Google handle the conversion in September when everyone else moves. You'll benefit from seeing how other advertisers fare first, and Google will have more data to optimize the migration process. But you lose control over timing, and scrambling to fix issues while everyone else does the same could get expensive.

Option 3: Rebuild with standard search campaigns. Instead of migrating DSA to AI Max, you could extract your best-performing queries and rebuild them as traditional keyword campaigns. This preserves maximum control and lets you use exact match where needed. The catch? For sites with thousands of products, manually maintaining keyword lists defeats the entire purpose of automated campaigns. You'd need significant operational resources to match DSA coverage.

Option 4: Split strategy approach. Migrate high-volume, proven DSA campaigns to AI Max while rebuilding niche or high-margin segments as manual campaigns. This balances automation benefits with control where it matters most. The complexity here is managing two different optimization approaches in parallel, and you'll need clear rules about which traffic goes where.

What Performance Marketing Should Actually Do

Start with an audit that actually matters. Forget optimizing your current DSA settings. Instead, document which queries drive value versus volume. AI Max won't let you target specific URLs, so you need to know which content themes perform and ensure those pages load fast and convert well.

Next, clean up your negative keywords with AI behavior in mind. DSA respects negative lists literally. AI Max interprets them as signals. That subtle difference means over-specified negative lists could handicap the algorithm. Keep negatives focused on truly irrelevant terms, not minor variations you're trying to force into specific ad groups.

Most importantly, restructure your measurement. DSA lets you track performance by page category or URL pattern. AI Max operates at the query-to-site level, making traditional attribution harder. Set up proper conversion tracking, implement server-side tagging if you haven't already, and get comfortable with inference-based reporting. The source doesn't specify what data you'll lose, but DSA-specific targeting reports will certainly disappear.

Gotchas and Edge Cases

The September timeline hides several traps. First, "automatic migration beginning in September" doesn't mean completing in September. Google expects all eligible campaigns to finish migrating by end of September, but that's an expectation, not a guarantee. Plan for October disruptions.

Second, API users face a hard wall. Once automatic migration starts, the Google Ads API stops accepting DSA campaign creation entirely. If your platform or agency tools depend on programmatic DSA creation, you need new workflows by August at the latest.

The biggest unknown? How AI Max handles site changes. DSA re-crawls periodically, giving you some control over update timing. The source doesn't disclose how quickly AI Max adapts to new content or structural changes. For flash sales, seasonal inventory, or news publishers, this lag could hurt performance significantly.

Key Takeaways

• Manual DSA migration is available now; automatic migration forces everyone in September 2026 with no new DSA campaigns allowed after that date
• AI Max removes URL-level targeting and keyword lists, using "broader signals" and intent matching instead of indexed pages
• Negative keyword lists need rethinking since AI Max treats them as signals, not hard rules like DSA does
• Large inventory advertisers should audit by content theme, not URL pattern, since granular targeting disappears
• The 200,000 advertisers already using AI Max provide a performance baseline, but mass migration could shift auction dynamics significantly