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is there a particular objective where the constraints are most severe? Or is it really broad-based
is there a way to dimensionalize how much of the strength in search is being driven by that behavioral change
the relationship between investment levels and how you kind of expect core performance
any meaningful differences to call out kind of around the behavior and depth of engagement
how you think Google has been doing it both kind of attracting and retaining key AI talent
the most usage and deployment of Gen AI internally at Google
where do you see consumer agents going
how do you think about whether consumer adoption can close this AI utility gap
how are you thinking about the team's focus here kind of divided on to further model training runs and kind of further specialization
I know it's too early to discuss 2027 CapEx. But we've had peers mention tonight a potential significant step-up.
I think in the question you had said that operating income growth in '26 would be higher than '25, and I want to make sure my comments were super clear
how do you think about kind of the scale of those improvements versus kind of the progress we've seen over the last 2 years?
just curious, has there just been any change or adjustment to how you think about the relationship between revenues or core business performance and the cadence of investment?
what are kind of some of the markers or KPIs that you're tracking on whether you're on track and making progress?
can you share some places where you've seen strong traction there? And are we progressing kind of faster, slower as you expected towards this milestone?
with the expense guidance coming down just a touch, how should we think about just the overall cadence of expected spending
how do we just think about the contribution of the formula for ad revenue growth going forward?
do you view that as a better form factor to get the most out of the Meta AI assistance you highlighted in your opening remarks?
I noticed a little bit of a slowdown in Europe. Is that just kind of tougher compares?
Can you perhaps help us dimensionalize kind of what's driving that strength
is there any risk of kind of pushing the revenue lever too far that may have adverse effects on engagement?
when did you realize that you were kind of hitting a ceiling? And so kind of how far are we into kind of some of these material changes?
Curious how you think about that mix shift going forward? Should we be looking for a kind of similar mix or kind of a focus area on one versus the other?
just kind of wondering what's different kind of as you've kind of ramped up in the seat?
is there a different way to think about what Snapchat looks like 12, 24 months from now
How do you see Snaps are all evolving here as kind of this distribution channel?
how your thinking has kind of evolved around how meaningful this business can be going forward.
where do you see My AI going, and perhaps kind of standing out versus the growing number of kind of AI chatbots
any color on what you've seen around engagement and advertiser behavior since TikTok went dark in the app stores?