The first question from Wall Street on Amazon’s call was exactly what we predicted – what’s the return on capital from this $200 billion capex guide.
A little odd CEO Andy Jassy didn’t anticipate this, but he’s been repeatedly underwhelming on conference calls.
Here’s the interaction from their call.
Evercore ISI Institutional Equities, Research Division
Okay. I think Brian, let me throw this to you or maybe to Andy, on the strong long-term return on invested capital, I think that’s the debate in the market today. So could you give us a little bit more insight into how do you think investors will be able to see that, either talk about the duration of the CapEx cycle that you’re going through now?
Or what we should see in terms of profitability levels? And maybe also talk about like other de minimis or minimum free cash flow generation levels, you don’t want to go below as you go through this CapEx cycle? Just help us get to that — get to your level of confidence in having a strong long-term return on that invested capital.
Chief Financial Officer
Yes. Sure, Mark. I’ll start from the financial side. So on the investments we’re making, as Andy said earlier, we are putting into service with customers all capacity that we’re getting and it’s immediately useful, and we’re also seeing a long arc of additional revenue that we see from other customers in backlog and commitments to people, anxious to make with us, especially for AI services. So you can see that’s working its way into our P&L, both through CapEx and also through our operating margin in AWS.
AWS is a 35% operating margin through Q4, up 40 basis points year-over-year. You talked about before that is going to fluctuate over time. It’s certainly has a headwind from the investments in AI and the depreciation on that CapEx, but we also work very hard to offset that with efficiencies and cost reductions. So we will see how that develops over time. So — but yes, we see a long strong return on invested capital, see strong demand for these services, and we continue to like the investments in this area.
Chief Executive Officer
I would add to that. If you look at the capital we’re spending and intend to spend this year. It’s predominantly in AWS. And some of it is for our core workloads, which are our non-AI workloads because they’re growing at a faster rate than we anticipated. But most of it is AI, and we just have a lot of growth and a lot of demand. When you’re growing 24% year-over-year with an annualized revenue run rate of $142 billion, you’re growing a lot. And what we’re continuing to see is as fast as we install this capacity, this AI capacity, we are monetizing it.
And so it’s just a very unusual opportunity. As I’ve shared a lot of times, I passionately believe that every customer experience that we know of today is going to be reinvented with AI. There are going to be a whole bunch of customer experience that the none of us have ever imagined that are going to become the norm of how we all operate every day in what we use. And I think the other thing is that if you really want to use AI in an expensive way, you need your data in the cloud and you need your applications in the cloud. Those are all big tailwinds pushing people towards the cloud.
So we’re going to invest aggressively here, and we’re going to invest to be the leader in this space as we have been for the last number of years. We have, I think, a fair bit of experience over the years in AWS of forecasting demand signals and doing it in such a way that we don’t have a lot of wasted capacity and that we also have enough capacity to serve demand that’s there. And I think we’ve also proven with AWS over the years in how we build data centers and how we run them and how we invent in there. If you think about our chips and our hardware, our networking gear and how we’ve invented Empower that this isn’t some sort of quick sonic top line grab. We have confidence that we — that these investments will yield strong returns on invested capital. We’ve done that with our core AWS business, and I think that will very much be true here as well. And I think some of the things that you will see over time in the AI space is, you’re going to keep seeing all the inference services, which is going to be the majority of the long-term AI workloads is going to be inferenced. You’re going to see the inference keep getting optimized.
You’re going to see higher utilization on those services. You’ll see prices normalize over a period of time. And then I think the companies that have not just the excellence in infrastructure, but also the components that give them — give customers better price performance and give those companies themselves better economics are going to have advantaged financials.
And I think if you look — we’re already off to a really good start, having training underneath the majority of our Bedrock service and that’s not just giving customers better prices, but also gives us better economics. And so we see that following the same sort of patterns we saw in the early days of our core AWS investment. I’m very confident we’re going to have strong return on invested capital here.