But Google actually knows how to do research and how to apply it to products. Meta's AI research hasn't produced anywhere near as many state of the art products /revolutionary achievements.
Since we're comparing to Meta, you just have to look at the state of their publicly facing products that feature AI. Google has better AI models (Gemini, Nanobanana) and they've integrated them successfully into way more products than Meta has.
Meta spends a lot of money on AI research with little to show for it. As imperfect as Google may be, they're still doing much better.
Google knows how to do research - and at the very least lets other people figure out the products, and then becomes the #3 or #4 player.
Both GCP and Gemini are products of this. Modern cloud was arguably built by Google (think Chubby, GFS, Bigtable as building blocks) - they just spent 10 years ceding it to Amazon before competing.
I was thinking more of their primary revenue source / money printer being their ads business like Meta then they also spend billions from it on all kinds of other bets.
In 2026 we need to update our mental model of Google. Google has been wildly successful at adding diversification. Around 40% of Google’s profit (depending on the quarter) comes from non-search income.
They build a wildly successful cloud platform, they’re expanding their subscription services, they’ve got enterprise offerings, etc
The trick is that Google accepted that none of their other business would likely have the margins and volume that search has, but they did it anyways.
But Google actually knows how to do research and how to apply it to products. Meta's AI research hasn't produced anywhere near as many state of the art products /revolutionary achievements.
> But Google actually knows how to do research and how to apply it to products.
I have seen basically no evidence of this. Google knows how to do research to create technology. Google is pretty terrible at creating product though.
Since we're comparing to Meta, you just have to look at the state of their publicly facing products that feature AI. Google has better AI models (Gemini, Nanobanana) and they've integrated them successfully into way more products than Meta has.
Meta spends a lot of money on AI research with little to show for it. As imperfect as Google may be, they're still doing much better.
Google knows how to do research - and at the very least lets other people figure out the products, and then becomes the #3 or #4 player.
Both GCP and Gemini are products of this. Modern cloud was arguably built by Google (think Chubby, GFS, Bigtable as building blocks) - they just spent 10 years ceding it to Amazon before competing.
Which is almost word for word the state Microsoft have been in for over 20 years.
To the point it was a running joke at MSR.
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google knows how to do research, at any rate.
I was thinking more of their primary revenue source / money printer being their ads business like Meta then they also spend billions from it on all kinds of other bets.
In 2026 we need to update our mental model of Google. Google has been wildly successful at adding diversification. Around 40% of Google’s profit (depending on the quarter) comes from non-search income.
They build a wildly successful cloud platform, they’re expanding their subscription services, they’ve got enterprise offerings, etc
The trick is that Google accepted that none of their other business would likely have the margins and volume that search has, but they did it anyways.