AI is good at writing an ad. Give it a product, angle, detailed and clear instructions, and it'll write you ten decent headlines, five hooks, and a tidy set of variations before you've finished your coffee. That part works. We use it ourselves.

But writing an ad and running a campaign are two very different things.

One is a task. The other is a stream of judgment calls: who to spend on, when to scale, which leads are real, and why last week fell apart. And right now, Meta and Google want you to hand that second job over, too. Their pitch is simple: give us a goal, a budget, and some creatives, and we'll take it from here.

Here's my position, and I’ll back it up below: AI is a great assistant and a bad account manager. It can help with ideas, copy, basic setup, and a few delivery tasks. It is not ready to manage full campaigns, make scaling decisions, judge lead quality, or diagnose what's actually wrong with an account. At least not without an experienced human keeping a hand on the wheel.

This isn't an anti-AI argument, but it's more like a control argument. The platforms are asking advertisers to give up a lot of control (and money, of course) before their systems have proven they can reliably produce real business results. That's the part worth slowing down on.

What Meta and Google Are Actually Asking For

Start with the vision, because it tells you where this is going.

In an interview with Stratechery's Ben Thompson, Mark Zuckerberg described a future where a business connects a bank account, states an objective, and Meta's AI handles the rest — creative, targeting, measurement, all of it. He called it a redefinition of the category of advertising. Think like this: there will be no creative team and no media buyer. Just you, your bank account, and the results Meta chooses to show you.

That's the destination. The products Meta is shipping today are the early versions of it.

Meta Advantage+ writes and suggests copy, combines images, picks placements, sets bids, and adjusts budgets on its own. Performance Max buys across Google's entire ecosystem (Search, YouTube, Display, Gmail, Maps) from a single campaign, deciding placements and audiences for you. Google AI Max treats your keywords as loose signals rather than firm boundaries and pulls in your landing pages and site content to expand where your ads show. The plain-English description floating around the industry is "broad match, but more."

The common thread: you provide the inputs, the platform makes the decisions. Audiences, placements, copy, landing page selection, and spend are increasingly handled by the machine. You're left to read the results.

And that's where it gets interesting, because the results are exactly the thing you can't fully trust.

What We Saw Testing Advantage+

Recently, we ran a test campaign with the Advantage+ setup. We wanted to see the thing work before forming an opinion on it.

Inside Meta's dashboard, the campaign looked fine. The platform reported great results. Views, impressions, landing page views, clicks, leads…Everything was decent and in scope of our metrics. 

But then we checked everything outside the platform. GA4. The CRM. Actual qualified leads. Real downstream activity. And the meaningful impact just... wasn't there. The in-platform success didn't translate into the business outcomes we actually cared about. And no, it was not the tracking; that thing was set and double-checked before we even started the campaign.

So we did research to find out why that happened. Why did we have those numbers on the surface, but not on the “bank account”? What we found in effect was to literally spend more- give the system more budget and more time so it could keep learning.

Sit with that for a second. So the fix for "we're not seeing results" was "put  more money in the process that isn't showing results yet." That's not a scam, and we're not claiming it is. But it perfectly describes who carries the risk during the learning period. Spoiler: it's you, or the client you’ve been running ads for. 

This isn't unique to us. Google's most common account recommendation, going back to the machine-learning days before everything got rebranded as "AI," has reportedly long been some version of spend more money. That’s also the point brand and agency executives raised at a recent Digiday Programmatic Marketing Summit. More spending means more data, which means better optimization. Maybe. Eventually. On the platform's timeline, with your budget.

The Gap Between Platform Metrics and Real Outcomes

Here's the core problem with handing over the wheel: the platform grades its own homework.

Meta and Google report on the conversions they attribute, in the geos they say they served, at the quality they decide to claim. When that's the only scoreboard you're looking at, things tend to look good. The dashboard is designed to look good.

But pull the same campaign apart in GA4, your CRM, and your revenue numbers, and a different picture often shows up. Strong-looking platform metrics, weak actual business value. 

We saw it firsthand with Advantage+. 

The executives in that Digiday discussion described the same disconnect from the other direction. For example, you may have to go into GA4 and reverse-engineer where traffic is actually coming from, because a large share of it can land outside the locations you explicitly targeted unless you also build exclusion audiences for those areas.

To be clear: that's a practitioner account, not a Meta or Google disclosure. But it points to the real issue. When the system that spends your money is also the system that reports on your money, you need an independent source of truth. And the more decisions you delegate, the harder it is for the truth to find.

What Independent Testing Says About AI Max

You don't have to take my word for any of this. The independent numbers on Google AI Max are worth reading carefully, because they're all over the map, and that spread is the story.

Google says advertisers who enable the full AI Max feature suite see, on average, 7% more conversions. Fine. Now, the independent tests, all summarised from that same article I linked above:

• Smarter Ecommerce looked across 600 accounts and found AI Max delivered roughly 35% lower return on ad spend than traditional match types. Telling detail: AI Max made up just 0.57% of total spend in those accounts, advertisers were keeping it on a very short leash.
• In a four-month test, Xavier Mantica found AI Max produced the most expensive conversions of any method — about $100 per conversion, versus roughly $44 for phrase match and $53 for exact match.
• Ezra Sackett ran 30,000 search terms through AI Max and found 99% of impressions produced zero conversions. Insane.
• And on the other side: after a 23-test analysis across 16 advertisers, Andy Goodwin reported improved Quality Score and ROAS when the full feature suite was used.

So which is it? All of them. That's the point. The same tool produces a 35% drop in ROAS in one study and ROAS gains in another. A system whose results swing that wildly depending on the account is not a set-and-forget system. You should treat it as a system you test carefully, on a leash, with someone watching, which is roughly what that 0.57% spend figure suggests sharp advertisers are already doing.

You Lose Control, and You Lose the Receipts

Delegation has a cost beyond performance, and it's a quieter one: you stop being able to see how decisions get made.

When the platform owns audiences, locations, placements, creative changes, and budget pacing, you lose the levers and the explanation. Why did spend a shift in that region? Why did this audience balloon? Why did performance crater on Tuesday? 

The honest answer is often that you can't fully know, because the reporting is built to show outcomes, not reasoning. You'll have to 'rack your brain' on your own to find the answers to those questions.

That control can also slip away without you choosing it. Some agency executives in the Digiday town hall described Meta turning on Advantage+ Audience mid-flight, settings hidden, the feature quietly enabled a couple of weeks into a campaign, reach suddenly in the tens of millions, no email, no heads-up. 

Their response was to fight the platform to manually re-select their own audiences and settings. Again: that's their account of their experience, offered anonymously. But it's a recognizable kind of frustration, and it's the opposite of "you're always in control."

The deeper you go into full automation, the more your job shifts from making decisions to auditing a black box after the fact.

Meta's Creative "Help" You Didn't Ask For

There's one more cost that's easy to underestimate until it lands on your desk: the review burden Meta's creative AI quietly creates.

Marketers have reported Meta's AI altering their ads without clear consent. Changing image sizes (I can confirm this as well) and backgrounds, and producing what one agency leader called "full reimaginations" of approved assets. In one example, the tool stretched an image until the grass appeared to grow into a client's patio. The clothing brand Snag Tights noticed AI-driven tweaks to its ads and went so far as to post a public note telling customers that the odd, AI-looking ads weren't really theirs, and is now exploring moving some spend off Meta entirely. Another agency described AI features re-enabling themselves after being switched off, overriding decisions that had already been made, turning the simple act of keeping AI out of approved ads into a recurring chore.

Practitioners are vocal about this. 

On Reddit's r/FacebookAds, advertisers swap stories about Meta adding AI-generated music and reworking creative assets they never approved. Treat that as a mood, not a measurement — it's a forum, not a study — but it lines up with what the named sources are reporting.

For its part, Meta says advertisers can opt out of AI creative testing at any time in their account settings, that these tests use only a small share of impressions, and that advertisers remain in control of their experience. Worth knowing. The friction advertisers describe in actually finding and keeping those settings off is the gap between that statement and the day-to-day. Every unwanted edit is one more thing a human has to catch before it goes live, which is the opposite of the time savings the automation promised.

Where AI Genuinely Earns Its Place

So no, this isn't "turn the AI off." That would be silly, and we'd be lying about our own workflow. Here's where AI pull real weight:

• Ideas and angles. Brainstorming hooks, concepts, and directions you can then judge.
• Copy variations. Lots of versions, fast, for a human to cut down to the good ones.
• Basic campaign setup. Scaffolding, structure, and first drafts of the boring parts.

The thread connecting all of these: a human sets the strategy, defines what "good" means, and makes the final call. AI accelerates the work. It doesn't own the outcome.

That's the line. AI handles tasks. People own decisions.

Don't Hand Over the Full Account Yet

Back to where I started. AI can write your ad. The harder question was whether it can run your campaign — and in 2026, the honest answer is not on its own. At least, not yet. We’ll see what the future brings.

The truth is that the platforms are moving toward a world where you connect a bank account and read the results. But the evidence isn't there yet to justify that level of trust: platform dashboards that look better than the business reality underneath them, independent results that swing from strong gains to a 35% ROAS drop, creative tools that rewrite your ads and reappear after you switch them off, and reporting that's built to show outcomes rather than explain decisions. The clear exception is e-commerce, where honest purchase signals give the machine something real to chase.

None of this is a reason to fear AI. It's a reason to keep it in the right seat.

Use it as an assistant for ideas, copy, setup, and narrow delivery tasks under a watchful eye. Keep an experienced human on strategy, scaling, lead quality, and diagnosing what's actually going wrong when it does. And don’t forget to verify everything against GA4, your CRM, and actual revenue, not just the dashboard that grades itself.

AI should help run your advertising. It shouldn't be the person running your budget. Not yet.

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