“We're seeing growing use of these solutions, and we expect to drive further adoption over the course of the year while applying what we learned to our broader ads investments.”

In context

“r new ads ranking architecture, Meta Lattice, which we began rolling out more broadly last year. This new architecture allows us to run significantly larger models that generalize learnings across objectives and surfaces in place of numerous smaller ad models that have historically been optimized for individual objectives and surfaces. This is not only leading to increased efficiency as we operate fewer models but also improving ad performance. Another way we're leveraging AI is to provide increased automation for advertisers. Through our Advantage+ portfolio, advertisers can automate one step of the campaign setup process, such as selecting which ad creative to show, or automate their campaign completely using our end-to-end automation tools, Advantage+ shopping and Advantage+ app ads. We're seeing growing use of these solutions, and we expect to drive further adoption over the course of the year while applying what we learned to our broader ads investments. Next, I'd like to discuss our approach to capital allocation. We continue to see compelling investment opportunities to both improve our core business in the near term and capture significant longer-term opportunities in generative AI and Reality Labs. As we develop more advanced and compute-intensive recommendation models and scale capacity for our generative AI training and inference needs, we expect that having sufficient infrastructure capacity will be critical to realizing many of these opportunities. As a result, we expect that we will invest significantly more in infrastructure over the coming years. Our other long-term initiatives that we're continuing to make significant investments in is Reality Labs. We are also starting to see our AI initiatives increasingly overlap with o”