There’s been a lot of noise recently about how well Meta and Google are performing.
And on the surface, it looks simple:
AI is working
Ads are performing better
Revenues are up
But if you look a bit closer… there’s a more interesting story underneath.
First: the obvious bit
Both Meta and Google have just reported strong ad revenue growth.
Not small growth either… we’re talking double digits.
And a big part of that is down to AI.
Their systems are now doing things like:
- Finding the right audience automatically
- Optimising campaigns in real time
- Adjusting creative on the fly
- Allocating budget where it’s most likely to convert
So naturally… performance improves.
Which means advertisers spend more.
Which means revenue goes up.
Simple.
But here’s where it gets interesting
What’s actually happening isn’t just “better ads”.
It’s a shift in how the whole system works.
Because the platforms aren’t really tools anymore…
They’re becoming fully automated performance engines.
You don’t control every lever like you used to.
You give them:
- Budget
- Creative
- A goal
…and they handle the rest.
Sounds great… but there’s a catch
Yes… it’s easier.
Yes… results are often better.
But:
You’re also giving up control.
Less visibility.
Less transparency.
Less understanding of why something worked.
You just know that it did.
And at the same time…
The big platforms are pulling further ahead.
Meta.
Google.
Amazon.
They’ve got:
- The data
- The infrastructure
- The AI capability
Everyone else is playing catch-up.
So more and more ad spend flows into the same places.
One analyst prediction worth watching:
Google’s Gemini and AI Mode could outpace ChatGPT this year, and by early 2027, Google may lead the entire generative AI market.
At the moment, Meta and Google are virtually tied in digital ad share (26.8% vs 26.4%).
But with AI accelerating fast… that balance may not hold for long.
Meta and Google ad revenues soar thanks to AI, but big picture is blurry While Meta’s rate of ad revenue growth outpaced Google’s Q1, the search giant is under less scrutiny for its hefty AI expenditures.
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