The September deadline that had half my LinkedIn feed in a panic is gone. Google announced this week that the forced migration from Dynamic Search Ads to AI Max for Search campaigns has been pushed to February 2027. DSA campaign creation, which was supposed to end this month, is being restored on June 15.
This is not a reprieve. It's a runway extension. And the difference matters for how you spend the next eight months.
What Actually Changed
The revised timeline breaks down into four phases. Starting immediately, DSA campaign creation is fully restored. From now through January 2027, you have an extended testing and voluntary migration window. In January 2027, the ability to create new DSAs disappears permanently. Then in February 2027, automigration begins for any remaining active DSA campaigns.
Note what didn't change: campaigns using Automatically Created Assets and campaign-level broad match settings will still auto-upgrade in September 2026. If you're running those, your clock hasn't moved.
Google's stated reason for the extension is straightforward. Per the updated blog post: "We heard your feedback: you need more time to complete the transition from Dynamic Search Ads to AI Max. To protect your business results and the performance of your campaigns, we are extending the timeline."
Translation: enough advertisers pushed back that Google decided a Q4 forced migration wasn't worth the support tickets and churn risk.
The Math That Should Drive Your Decision
Google claims AI Max campaigns see an average of 7% more conversions or conversion value at similar CPA/ROAS when using the full feature suite (search term matching, text customization, and final URL expansion) compared to search term matching alone. That's the headline number from the official announcement.
Seven percent sounds compelling until you model what it means for your specific portfolio. Here's the calculation I'd run before touching anything:
Pull your last 90 days of DSA performance. Isolate conversion volume, CPA, and ROAS by campaign. Now ask: if I get 7% more conversions at the same CPA, what does that do to my blended CAC payback? If your DSA campaigns are already operating at the margin of acceptable payback, a 7% lift might not move the needle enough to justify the transition risk. If you're running healthy headroom, the upside is real.
The second question is variance. Google's 7% is an average across "hundreds of thousands of global advertisers." Your campaigns aren't average. They're specific to your site architecture, your inventory depth, your competitive set. The only way to know your number is to test.
A Testing Framework That Won't Wreck Your Q3
The worst thing you can do with this extension is wait until January and then scramble. The second worst thing is migrate everything at once in July and discover problems during your busiest quarter.
Here's a phased approach that balances learning velocity with risk containment.
Phase one (June through July): Identify your three highest-volume DSA campaigns. These are your test candidates because they'll generate statistically significant data fastest. Clone each one and set up AI Max versions with identical targeting parameters. Run them in parallel at 20% budget allocation to AI Max, 80% to the original DSA. You're not trying to prove AI Max works yet. You're trying to understand how it behaves differently with your specific site content.
Phase two (August through September): Analyze the parallel test data. Look at three things: query match quality (are you getting relevant searches or garbage?), landing page selection accuracy (is AI Max sending traffic to the right pages?), and conversion rate delta by device and audience segment. If the numbers look good, shift to 50/50 budget allocation. If they don't, document the failure modes and adjust targeting controls before scaling.
Phase three (October through December): This is Q4. Do not migrate anything new during this window unless your Phase two results were unambiguously positive. Use this time to document your learnings and build the migration playbook for January.
Phase four (January 2027): Execute full migration for remaining DSA campaigns before the February automigration kicks in. You want to control the settings, not have Google's defaults applied to your account.
The Controls You Need to Understand Now
AI Max isn't a black box, but it's closer to one than DSA was. Google's documentation emphasizes three feature toggles: search term matching, text customization, and final URL expansion.
Search term matching is the query expansion engine. It's what finds searches you weren't explicitly targeting. This is where most of the incremental volume comes from, and also where most of the quality risk lives. If your site has thin content pages or outdated product listings, AI Max will find them and send traffic there.
Text customization generates ad copy dynamically based on your landing page content. If your pages have clear, benefit-oriented headlines, this works well. If your pages are cluttered with legal disclaimers and navigation elements, the generated copy will reflect that.
Final URL expansion lets AI Max choose landing pages beyond what you've specified. This is the highest-risk, highest-reward toggle. Turn it on only after you've audited your site for pages you don't want receiving paid traffic.
What This Means for Your 2027 Planning
The DSA sunset is part of a larger pattern. Google is systematically moving advertisers toward AI-managed campaigns where manual keyword targeting plays a diminishing role. Performance Max was the first major step. AI Max for Search is the second. There will be more.
For budget planning purposes, assume that by mid-2027, your Search campaigns will require less keyword-level management and more creative asset management. The skill set shifts from query research and bid optimization toward landing page quality, feed hygiene, and conversion tracking accuracy. If your team is still structured around keyword jockeys, start cross-training now.
The CFO question I'd prepare for: "If Google is automating more of the targeting, why do we need the same headcount in paid search?" The answer is that automation shifts work, it doesn't eliminate it. Someone still needs to monitor query quality, audit landing page selection, and catch the inevitable cases where AI Max sends budget to the wrong places. That work is less visible than keyword management but equally important.
The Pilot Plan
If I were running paid search for a mid-market B2B company right now, here's what I'd have on my desk by end of June:
First, a baseline performance snapshot for every DSA campaign, with 90-day averages for conversion volume, CPA, ROAS, and query match quality scores. Second, a prioritized list of three to five campaigns for Phase one testing, ranked by volume and strategic importance. Third, a documented audit of site pages that should be excluded from final URL expansion. Fourth, a calendar with testing milestones and decision gates through February 2027.
Google gave you five months. The question is whether you'll use them to migrate on your terms or scramble when the deadline arrives. Model or it didn't happen.
