“Looking ahead, while we continue to refine our plans as we progressed throughout the year, we currently expect total capital expenditures to grow in 2024, driven by our investments across both datacenters and servers, particularly in support of our AI work.”

In context

“higher operating costs from running a larger infrastructure footprint. Second, we anticipate growth in payroll expenses as we evolve our workforce composition toward higher cost technical roles. Finally, for Reality Labs, we expect operating losses to increase meaningfully year-over-year due to our ongoing product development efforts in AR, VR, and our investments to further scale our ecosystem. Turning now to the CapEx outlook. We expect capital expenditures to be in the range of $27 billion to $30 billion, lowered from our prior estimate of $30 billion to $33 billion. The reduced forecast is due to both cost-savings, particularly on non-AI servers, as well as shifts in CapEx into 2024 from delays in projects and equipment deliveries, rather than a reduction in overall investment plans. Looking ahead, while we continue to refine our plans as we progressed throughout the year, we currently expect total capital expenditures to grow in 2024, driven by our investments across both datacenters and servers, particularly in support of our AI work. On to tax, absent any changes to US tax law, we expect the tax rate for the rest of the year to be similar to Q2 2023. In closing, Q2 was a good quarter for our business. We're executing well across our core priorities and are continuing to make progress on delivering exciting new experiences for our community. With that, Dave, let's open up the call for questions. Operator: Certainly. And thank you very much. We will now open the lines for question-and-answer session. [Operator Instructions] Your first question comes from the line of Brian Nowak with Morgan Stanley. Your line is open. Brian Nowak: Thanks for taking my questions. Maybe a two-parter for Mark. Mark, you've spoken a few times over the last few months on AI agent and sort of building different types of assistants through the”