The need to accelerate the development of LLM based information retrieval.
These two things are at a tension. Typically R&D is expensive, you don’t want to be managing costs while also figuring out how to invest in R&D and accelerate innovation while competitors flush with Billions are trying to eat your lunch.
20% is nowhere close to enough. This is a make or break moment in Googles history, and for google to come out of this, they’ll need to go very lean, as Meta has done, and really pour substantial resources to survive what is essentially a disruption to the search business.
I would not at all be surprised if there is another round of layoffs. Big tech cannot easily out
-innovate a startup who is fighting for its survival, even with promise of cushy salaries and stock grants.
This is possibly where strategic partnerships akin to MSFT and open AI come into play. I would be curious if the feeling inside GOOG really is all hands on deck or if it’s still a comfortable googly approach.
Is LLM traffic counted in that? Google’s share of the traffic won’t matter much if there isn’t much overall search traffic left (and everything gets swallowed by LLM traffic)
LLMs being complementary and not competitive is hard to believe. It’s not an exact substitute for search but there’s a massive overlap.
LLMs are basically search 2.0. They will eventually swallow search and can and will do so much more. Especially at the rate the technology is progressing.
They have also simultaneously introduced a new natural language user interface to technology. Before it is mouse and keyboard command, now it is natural language commands. Maybe not so relevant to the google ad revenue topic at hand though.
Bing exposes both chat and search via a common webpage afaik. Not sure if there's been a notable drop in overall search volume.
> LLMs are basically search 2.0. They will eventually swallow search and can and will do so much more. Especially at the rate the technology is progressing.
this is a possibility but it is far from clear that it is so.
> Especially at the rate the technology is progressing.
This pressure to be more efficient, cut 20%
The need to accelerate the development of LLM based information retrieval.
These two things are at a tension. Typically R&D is expensive, you don’t want to be managing costs while also figuring out how to invest in R&D and accelerate innovation while competitors flush with Billions are trying to eat your lunch.
20% is nowhere close to enough. This is a make or break moment in Googles history, and for google to come out of this, they’ll need to go very lean, as Meta has done, and really pour substantial resources to survive what is essentially a disruption to the search business.
I would not at all be surprised if there is another round of layoffs. Big tech cannot easily out -innovate a startup who is fighting for its survival, even with promise of cushy salaries and stock grants.
This is possibly where strategic partnerships akin to MSFT and open AI come into play. I would be curious if the feeling inside GOOG really is all hands on deck or if it’s still a comfortable googly approach.