Google AI Max vs. Dynamic Search Ads: Migrate Now, or Use the 2027 Delay Wisely?

What Google AI Max Actually Is

Strip away the branding and AI Max for Search is Google's answer to a question it has been circling for years: what if search campaigns had no keywords at all? Instead of you supplying keyword lists, AI Max uses Google's models — with Gemini doing the heavy lifting — to read your landing pages, understand what you sell, and match your ads against user intent signals across the enormous space of queries people actually type, speak, or ask conversationally. It expands your reach into queries you would never have thought to bid on, generates and adapts ad assets, and folds the whole thing into Smart Bidding.

If that sounds like Dynamic Search Ads with a bigger brain, you are not wrong. DSAs have been doing landing-page-based matching since long before anyone said 'generative AI.' The difference is scope and aggression. DSAs were a supplementary tactic — a net you cast alongside your keyword campaigns to catch queries your keywords missed. AI Max is positioned as the primary way search campaigns will work, with keywordless intent matching at the centre rather than the edge.

Why the Delay Happened, and What It Tells You

Google does not delay migrations out of generosity. It delays them when the replacement is not yet reliably beating the incumbent across enough accounts. DSAs have properties advertisers trust: they are contained, legible, and predictable. Early AI Max adopters have had mixed experiences, and the pattern in those mixed results is instructive. Accounts with clean, well-organised, content-rich websites tend to do well — because the system's understanding of your business comes almost entirely from your pages. Accounts with thin landing pages, confusing site structures, or poorly implemented bilingual setups give the model bad raw material and get bad matching in return.

The delay tells you Google knows the transition needs more time. Your job is to use that time better than your competitors will.

The Smart Bidding Change Nobody Should Ignore

Buried in the same news cycle was a change that affects far more accounts than the DSA delay: starting June 2026, Google separated Target CPA and Target ROAS back out into standalone bidding strategies, unbundling them from the Maximise Conversions and Maximise Conversion Value wrappers they had been folded into. This matters for anyone auditing an account, because bidding strategies that were set years ago may now behave subtly differently. It is worth an hour of your time to review every campaign's bidding configuration against what you actually want it to do. Mismatched bidding intent — a growth-mode strategy on a strict-efficiency campaign or vice versa — is one of the most common silent budget leaks in accounts we audit.

Search Is Changing Shape Underneath All of This

The DSA-versus-AI-Max question sits inside a bigger shift that GCC advertisers cannot ignore: where search ads appear is changing, not just how they are matched. Google has begun placing shopping ads inside AI Mode, its conversational search experience, meaning sponsored product recommendations now appear within AI-generated answers rather than beside a list of blue links. Nobody types a keyword into a conversation. The system infers intent from the whole exchange and decides which products belong in the answer.

You cannot buy your way into that placement with a keyword list. You get there through the same inputs AI Max relies on: structured product data, comprehensive feeds, landing pages that machines can read and trust. The practical implication is that feed quality and site quality are becoming search marketing skills, not just SEO or development concerns. For businesses in Jordan and the Gulf running bilingual sites, this doubles: your Arabic pages need to be as machine-readable and content-rich as your English ones, or you are invisible to a growing share of Arabic intent matching.

A Migration Framework You Can Actually Run

First, establish your DSA baseline properly. Before testing anything, document what your DSA campaigns actually deliver: cost per conversion, conversion rate, the share of total conversions they contribute, and the query categories they win. Pull six months of search term data and categorise it. You are building the benchmark AI Max has to beat — and most accounts have never written that benchmark down.

Second, fix the inputs before running the test. AI Max reads your website. If your landing pages are thin, your site structure is chaotic, or your Arabic and English content is inconsistent, testing AI Max now will tell you about your website, not about the product. Tidy the pages that matter and make sure every product or service you want matched has a page that genuinely describes it.

Third, run a contained pilot. Pick one product line, one service category, or one market, and run AI Max against it while your DSA baseline continues elsewhere. Give it a genuine budget and at least four to six weeks. Starving a machine-learning product of data and then declaring it a failure is the most common testing mistake in the industry.

Fourth, judge on quality, not just cost. Keywordless matching will find you volume. The question is what kind. Watch the search term visibility you do get, monitor lead quality or new-customer rate downstream, and check whether AI Max is genuinely finding incremental queries or simply cannibalising traffic your brand and exact-match campaigns already owned.

Fifth, keep your guardrails regardless of outcome. Brand exclusions, negative keyword hygiene where the product allows it, geographic precision, and clean conversion tracking matter more under automation, not less. The less you control matching, the more everything depends on the accuracy of the conversion signal you feed back.

Where Performance Max Fits in This Puzzle

Google's own positioning suggests a division of labour: AI Max is the future of the search campaign specifically — keywordless matching within search results — while Performance Max remains the cross-channel product that chases conversions wherever its inventory allows. In practice, accounts running both need to watch for internal cannibalisation. PMax has a well-documented appetite for brand and near-brand search queries, because those are the easiest conversions to claim. Keep dedicated brand campaigns with exact control so your cheapest, highest-intent traffic never gets absorbed and re-sold to you at automated prices.

The Pre-2027 Checklist, Condensed

This quarter: document your DSA baseline from six months of data, audit every campaign's bidding strategy against the June unbundling, and export your negative keyword lists somewhere safe. Next quarter: fix the website inputs, then launch a contained AI Max pilot on one segment with pre-written success criteria. The quarter after: read the results honestly, expand what won, re-test what lost after fixing the cause. Final quarter before the deadline: complete voluntary migration of everything that earned it, so February 2027 arrives as a non-event.

Accounts that migrate early and calmly will be in a stronger position than those forced to change in a rushed auction while every other procrastinating advertiser scrambles at the same time. The maths of that crowd is not in your favour.