Introduction
If you run Dynamic Search Ads (DSAs) in Google Ads, you need to pay attention. On April 15, Google announced it is officially retiring DSAs and migrating all affected campaigns to AI Max for Search — its AI-driven campaign management system. The deadline is September 2026, and Google will begin automatic migrations for any advertiser who hasn't switched voluntarily by then.
This isn't optional. DSAs are going away, along with Automatically Created Assets (ACA) and campaign-level broad match settings. The question isn't whether you'll move to AI Max — it's whether you do it on your terms or let Google handle it for you.
Search Engine Land's Anu Adegbola broke the news with the key details: Google reports that AI Max's full feature set delivers “an average 7% lift in conversions or conversion value at similar efficiency” for non-retail campaigns. That sounds promising, but the lift depends on how well your campaigns are structured going in — and for small businesses that have relied on DSAs as a low-effort campaign type, the transition carries real risks.
Here's what's changing, what it means for your budget, and how to migrate without losing performance.
Key Takeaways
- Google will stop allowing new DSA campaigns in September 2026 and automatically migrate remaining DSA campaigns by end of September
- AI Max uses your website content, existing ads, and real-time intent signals to expand reach and customize ad copy dynamically
- Google reports an average 7% conversion lift with AI Max's full feature set, but results depend on campaign structure and signal quality
- Voluntary migration tools are available now — migrating early gives you more control over settings and transition timing
- Automation drift is a real risk: AI Max optimizes toward whatever signals you reinforce, which can narrow audience reach over time
- Separating “efficiency” campaigns from “growth” campaigns helps prevent AI Max from over-optimizing toward easy conversions
What Are Dynamic Search Ads and Why Is Google Killing Them?
DSAs have been a staple of Google Ads for over a decade. Instead of manually selecting keywords, DSAs let Google crawl your website and automatically match your ads to relevant searches based on your site content. For small businesses with limited time to manage keyword lists, DSAs were a practical shortcut: point Google at your website and let it figure out when to show your ads.
The problem — from Google's perspective — is that DSAs are limited to using your website's landing page content as the primary signal for query matching. As Google stated in the announcement, consumer search behavior is becoming “more complex and less predictable,” requiring broader real-time intent data beyond website landing page signals alone.
AI Max replaces DSAs with a system that uses multiple signal types:
- Your existing keyword lists and ad copy
- Your website content (similar to DSAs)
- Real-time search intent signals from Google's AI models
- Advertiser-set controls for brand, location, and text guidance
A Google spokesperson confirmed that “keywords remain an essential component of a successful campaign strategy, providing the ‘fuel’ for our AI and for the intent signals necessary to drive performance.” This isn't Google abandoning keywords — it's Google absorbing DSAs into a broader AI-driven system where keywords are one input among several.
For context, this is part of a larger trend we've been tracking. Our coverage of how AI Overviews are reshaping paid search explains how the paid search landscape has been shifting toward AI-driven models for the past year. The DSA retirement is the latest — and most concrete — step in that direction.
What's the Timeline and What Happens If You Don't Act?
Here are the critical dates, directly from Google's announcement:
| Date | What Happens |
|---|---|
| Now (April 2026) | Voluntary upgrade tools rolling out for DSA users. In-platform prompts appearing for ACA and broad match users. |
| September 2026 | Google stops allowing creation of new DSA campaigns via Google Ads, Ads Editor, and the Ads API. |
| September 2026 | Automatic migrations begin for all remaining eligible campaigns. All eligible migrations expected to complete by end of September. |
What automatic migration looks like:
- DSA campaigns: Dynamic ad groups convert to standard ad groups with legacy settings preserved. Your campaign history and data carry over.
- ACA campaigns: Move to AI Max with search term matching and text customization enabled by default.
- Broad match campaigns: Migrate with search term matching enabled by default.
The key risk in automatic migration: Google enables AI Max features by default, including search term matching (which expands your ads to queries beyond your keyword list) and text customization (which lets Google modify your ad copy dynamically). If you migrate voluntarily, you control which features to enable and can test incrementally. If Google does it for you, everything turns on at once.
This is similar to the pattern we've seen with Google Ads targeting changes — Google moves toward automation, early adopters adapt on their terms, and late movers get the default settings with no transition period.
What Is Automation Drift — and Why Should You Worry About It?
This is where the DSA-to-AI-Max transition gets genuinely risky for small businesses. Automation drift is what happens when Google's AI system gradually optimizes your campaigns toward the wrong outcome — and you don't notice because the platform's metrics look fine.
Search Engine Land covered an upcoming SMX Now webinar on this exact topic, featuring PPC expert Ameet Khabra from Hop Skip Media. Khabra's core argument: “Automation doesn't fail on its own — it does exactly what it's trained to do. The problem is that when Google Ads is fed incomplete, misaligned, or overly broad signals, it can optimize toward the wrong outcome faster than most advertisers realize.”
A real-world example from the SMX presentation: an account showed a 417% jump in conversions — which sounds like a win. But the “conversions” were low-quality actions that didn't translate to revenue. The automation was performing exactly as instructed; the problem was what it had been instructed to optimize for.
The four types of automation drift to watch for:
- Signal drift — Your conversion tracking or value signals shift over time, teaching the AI to chase the wrong outcomes.
- Query drift — AI Max expands your search term matching to queries that are technically relevant but don't convert for your business.
- Inventory drift — The AI focuses spend on your easiest-to-convert products or services, neglecting higher-value offerings.
- Creative drift — Dynamic text customization gradually produces ad copy that doesn't reflect your brand or value proposition.
For small businesses already struggling with wasted Google Ads spend, automation drift can compound the problem. The system looks like it's working — conversions are up, CPA is stable — but the actual business outcomes (new customers, revenue, profit) are flat or declining.
How Should You Structure AI Max Campaigns to Prevent Drift?
Search Engine Land's Sara Akl provides the framework that directly addresses this: separate your campaigns into efficiency lanes and growth lanes.
Efficiency lanes protect your baseline revenue:
- Campaigns targeting branded searches, repeat customers, and high-intent queries
- Tighter ROAS or CPA targets (the performance floor you're comfortable with)
- These campaigns are not growth engines — they're cash flow stabilizers
Growth lanes drive expansion:
- Campaigns using broader match types, category expansion, new audience segments
- Looser but realistic targets — Akl's example is a 350% ROAS target for growth versus 500% for efficiency
- These campaigns will be more volatile, and that's expected
Why this matters for AI Max specifically: When AI Max takes over, it optimizes toward whatever signals get reinforced. If you run a single campaign type where branded searches and new customer acquisition share the same ROAS target, the AI will naturally chase branded conversions (they're easier and more efficient). Over time, non-brand revenue shrinks as a percentage of your total — even as overall ROAS looks healthy.
Akl documented a case where this exact pattern played out: non-brand revenue dropped from 52% of total revenue in month one to 36% by month six. ROAS improved, but new customer growth flattened. The fix — separating efficiency and growth lanes with different targets — produced a 43% lift in year-over-year new customers in Q4 while blended ROAS still improved by 10%.
Practical rules for the transition:
- Hold ROAS targets steady for at least 60 days after migrating to AI Max. Akl's data shows that stable targets lead to broader query expansion without increased spending. Adjusting weekly in response to short-term noise teaches the AI to be conservative.
- Don't pause campaigns during learning phases unless they're fundamentally broken. The AI needs data to calibrate. Cutting spend during the first 2-3 weeks of AI Max starves the system of signal and guarantees poor optimization.
- Monitor search terms actively after migration. AI Max's search term matching will expand your query footprint. Some new queries will be valuable discoveries. Others will be waste. Regular search term reviews let you add negative keywords before budget bleeds.
- Differentiate conversion values by customer type. Akl documented a case where treating all purchases equally led the AI to favor repeat purchases (easiest to generate). Assigning higher value to new customer conversions produced a 53% year-over-year order increase from lapsed customers versus 12% in the prior three months.
If you're looking for ways to use AI to improve your ad management process, our guide to AI Google Ads prompts includes prompt templates for campaign structure planning and search term analysis.
What's the Migration Checklist for Small Businesses?
Here's a step-by-step checklist for migrating your DSA campaigns to AI Max before the September 2026 deadline:
Before migration (do this now):
- Audit all active DSA campaigns — identify which are performing and which are coasting
- Document current performance baselines: CPA, ROAS, conversion volume, non-brand vs. brand revenue split
- Review and update conversion tracking — make sure you're tracking the right actions at the right values
- Clean up your website — AI Max reads your site content to generate ads, so outdated pages, broken links, and thin content will degrade performance
- Build a negative keyword list from your DSA search term reports — these prevent known waste from carrying over
During migration:
- Use Google's voluntary upgrade tools (available now in the Google Ads interface)
- Enable AI Max features incrementally — start with search term matching only, add text customization after 30 days of stable performance
- Separate campaigns into efficiency and growth lanes with distinct targets
- Set brand exclusions if you don't want AI Max bidding on competitor brand terms
- Set location targeting explicitly — don't rely on AI Max to infer your service area
After migration (first 60 days):
- Hold ROAS/CPA targets steady — no weekly adjustments
- Review search terms weekly and add negatives for irrelevant queries
- Compare non-brand conversion volume against your pre-migration baseline
- Monitor ad copy quality — check that dynamic text customization produces accurate, on-brand messaging
- Track new customer acquisition separately from repeat business
Red flags to watch for:
- Non-brand impression share declining while ROAS stays flat or improves (the system is narrowing)
- Conversion volume increasing but revenue per conversion declining (signal drift toward low-value actions)
- Search term reports showing queries far outside your service area or industry (query drift)
- Ad copy that doesn't match your brand voice or makes claims you haven't authorized (creative drift)
Understanding which metrics actually matter for your business — and not just the ones Google's dashboard highlights — is a broader topic we cover in our marketing attribution guide.
How Does This Affect Businesses Already Using AI Tools for Ads?
If you're already using AI tools like ChatGPT to write ad copy or plan campaign structures, the shift to AI Max adds another layer. You're now working with two AI systems: the one generating your ads (ChatGPT, Claude, etc.) and the one optimizing when and how they run (AI Max).
The key is that AI Max optimizes delivery, not strategy. It decides which searches to match, how to customize your ad text, and which landing pages to send traffic to. Your strategic decisions — what to sell, who to target, how much to spend, what a conversion is worth — still need to come from you.
Akl's framing is useful: “Paid search used to be about making better decisions than the auction in real time. Now it's about designing the environment the auction learns from.” Your job isn't to outbid competitors on individual keywords anymore. It's to set up the signals, targets, and campaign structure that teach AI Max to optimize toward the outcomes your business actually needs.
We explored how ChatGPT is reshaping small business advertising earlier this year — the DSA-to-AI-Max migration is another step in the same direction.
What Should Your Business Do This Week?
The September deadline is five months away, but the smartest move is to start now while you can test incrementally.
This week: Log into Google Ads and check whether you have active DSA campaigns. If yes, document their current performance metrics (screenshot your last 90 days of data), check whether the voluntary migration tools have appeared in your account, and if you have an agency managing your ads, confirm they have a migration plan.
This month: Audit your conversion tracking, separate branded and non-branded performance reporting so you can detect drift, and start building negative keyword lists from your current DSA search term reports.
The businesses that migrate early, with clean conversion tracking and separated campaign structures, will have five months of learning data by the time Google forces migration on everyone else. For small businesses in Fort Wayne, Northeast Indiana, and the broader Midwest, this migration is especially worth getting right — local advertisers who rely on DSAs for service-area coverage can't afford to let AI Max default-expand their targeting beyond the geographies that actually convert.
If you need help with the migration — auditing your current campaigns, structuring efficiency and growth lanes, or setting up proper tracking — our paid ads team manages Google Ads for businesses across the Midwest.
Frequently Asked Questions
Frequently Asked Questions
- What are Dynamic Search Ads and why is Google retiring them?
- Dynamic Search Ads (DSAs) are a Google Ads campaign type that automatically matches your ads to search queries based on your website content, rather than manually selected keywords. Google is retiring DSAs because the system is limited to website content signals. AI Max replaces DSAs with a broader AI system that uses keywords, website content, and real-time intent signals together.
- When do I need to migrate my DSA campaigns?
- Google stops allowing new DSA campaigns in September 2026 and will automatically migrate remaining campaigns by end of September. Voluntary migration tools are available now. Migrating early gives you control over which AI Max features to enable and lets you test incrementally rather than having everything switch on at once.
- Will AI Max cost more than my current DSA campaigns?
- Not necessarily. Google reports an average 7% conversion lift at "similar efficiency," meaning cost per conversion should remain comparable. However, AI Max's expanded query matching can increase spend if you don't set proper budgets and negative keywords. Monitor your spend closely during the first 60 days post-migration.
- What is automation drift and how do I prevent it?
- Automation drift is when Google's AI gradually optimizes your campaigns toward outcomes that look good on the dashboard but don't match your actual business goals. Common examples include the AI chasing easy branded conversions instead of new customer acquisition, or counting low-value actions as conversions. Prevent it by separating efficiency and growth campaigns, setting distinct ROAS targets for each, and reviewing search terms regularly.
- Should I enable all AI Max features at once?
- No. Start with search term matching only, which expands your keyword coverage. Add text customization after 30 days of stable performance. Add final URL expansion only if you have a well-organized website with strong landing pages. Incremental activation lets you identify which features help and which introduce noise.
- What if I don't have DSA campaigns — does AI Max affect me?
- Yes, potentially. Google is also migrating Automatically Created Assets (ACA) and campaign-level broad match settings to AI Max. If you use either of those features, you'll see migration prompts. Even if you're on manual campaigns only, understanding AI Max is important because it represents the direction Google Ads is heading for all campaign types.
Sources & Further Reading
- Search Engine Land: searchengineland.com/google-retire-dynamic-search-ads-ai-max-474262 — Google to retire Dynamic Search Ads in favor of AI Max
- Search Engine Land: searchengineland.com/google-ads-results-same-outcomes-474441 — Why your Google Ads results keep repeating the same outcomes
- Search Engine Land: searchengineland.com/smx-now-automation-drift-correct-course-474360 — SMX Now: The automation drift and how to correct course