AI advertising: what the machine decides and what you still decide

In Google Ads the oldest part of this is Smart Bidding, which Google describes as bid strategies that use its AI to aim for conversions or conversion value in every auction, weighing signals such as device, location, time of day, the actual search and whether the person is on a remarketing list. Performance Max goes further: one goal-based campaign that reaches YouTube, Display, Search, Discover, Gmail and Maps, built from the text, images, videos and audience signals you give it. AI Max for Search campaigns brings the same approach to search ads, matching searches beyond your keyword list, rewriting headlines and descriptions from your ads and landing pages, and sending each searcher to the page it judges most relevant.^[1][2][3]

On Meta the equivalent is Advantage+. Meta says Advantage+ audience lets its AI find the people to show your ads to, learning from past conversions, pixel data and how people responded to earlier ads, and it will show ads beyond the audience you suggest when it expects a better result. Advantage+ sales campaigns hand the audience, the placements and the budget to the same system at once.^[4][5]

Here is what the platforms claim. Google says advertisers that switch on AI Max in Search campaigns typically see 14% more conversions or conversion value at a similar cost per acquisition or return on ad spend, from its internal data for 2025 and for non-retail advertisers. Meta says advertisers using Advantage+ sales campaigns saw a 9% improvement in cost per conversion on average, and that Advantage+ audience could lower cost per result by 7.2% for sales campaigns and by 9.7% for traffic, engagement and leads campaigns.^[3][4][5]

The same pages say when those gains do not arrive. Google warns that AI Max will not be effective if a campaign is limited by budget. Meta says an ad set usually leaves its learning phase after about 50 results in the week after its last significant edit, and that until then results are less stable and cost per result is usually higher. A small account that changes its campaigns every few days never gives the system enough to learn from.^[6][7]

At ToastPal, an AI speech-writing product, Jakub worked this way for 12 months as a freelance consultant, before he founded the company. AI wrote ad variants in volume for weekly tests across the US, UK, Australia and Canada, while every budget, bid strategy and market decision stayed with him. What that year produced in tracked revenue is shown below, with its context.^[9]

Far more people search for AI ads and AI advertising in the US than in the UK, about five times as many each month.

Whoever you choose, these are the signs they will use the AI well rather than simply switch it on:

Two of Jakub's freelance engagements, both before he founded the company, show the difference judgement makes on top of the platform's AI. For a global technology platform, cost per lead fell 97%, from $270 to $8.86 over about 11 months, mostly by moving the budget to Meta and testing creative written with AI help in German and English. For Mumshandmade, a handmade knitwear brand selling in more than 10 countries, Meta reported a peak weekly return on ad spend of 4.72x in week 12, and Advantage+ shopping campaigns were tested against standard prospecting in each market along the way.^[11][12]

AI for Marketing runs paid ads as part of one managed service. Jakub sets the budget, the offer and the conversion goals, the platforms' AI and our own system handle the volume, and you approve every new ad before it runs. More on specific platforms is on choosing a PPC agency and choosing a Meta ads agency.