Amazon (AMZN) Q3 2026 earnings call transcript

Transcript, summary, guidance, and what analysts pressed on from the Amazon call on October 29, 2026.

Held
October 29, 2026
Length
54 min
Tone
Confident0.82
Analysts
3
Words
8,667
2026 cash capex
approximately $220 billionmajority for AWS
AWS growth 2027 and 2028
north of 40%each year
AWS revenue target
a trillion dollar revenue businessin the next five to ten years
Q4 net sales
between 240 billion dollars and 247 billion dollars
Q4 operating income
between $28.5 billion and 33.5 billion dollars
Bedrock token volume growth
nearly 17 times year over year
AWS backlog
five hundred seventy-eight billion dollarsgrowing triple digits year over year

Summary

Management framed the call around an accelerating AWS and retail investment cycle, arguing current capacity spending can support unusually large long-term businesses.

  • AWS demand was described as broadening beyond AI, with core compute and storage growing at their fastest rates in several years.
  • Retail emphasis centered on faster delivery, perishables, and grocery as drivers of larger customer baskets and improved relevance.
  • Management said Amazon Leo service timing slipped versus earlier predictions, with most customer costs still expensed this year.

Guidance

  • $240B$240 billion to $247 billion Q4 net sales
  • $28.5B$28.5 billion to $33.5 billion Q4 operating income
  • $220BApproximately $220 billion 2026 cash capex, majority for AWS
  • Meaningfully more 2027 cash capex than 2026
  • 40%More than 40% AWS revenue growth in each of 2027 and 2028
  • 60 bpsApproximately 60 basis points Q4 foreign-exchange headwind to sales growth

What analysts pressed on

  • 01AWS growth and quarterly capacity additions: demand drivers span AI services, custom chips, and core workloads; quarterly capacity additions will vary.
  • 02AWS margin outlook: management declined to guide, citing AI's lower margins, component costs, efficiencies, and investment levels.
  • 03AWS capex and returns: management called investment meaningful and said infrastructure break-even timing continues to move earlier.
  • 04Bedrock market potential: customers want model choice, security, and price performance; management sees potential for a service as large as EC2.
  • 05External chip sales versus internal use: management said it is evaluating the balance and plans external training-chip sales starting late 2027.
  • 06Grocery and perishables: management declined to quantify household-spend uplift, but cited higher purchasing among grocery customers.

Notable disclosures

  • Bedrock token volume grew nearly 17 times year over year, while Fortune 500 spending grew nearly seven times.
  • Amazon Leo initial service remains on track this year, but cost capitalization moves to Q1 next year, later than earlier predictions.
  • External sales of training chips are planned for late 2027 after customers pressed for availability outside AWS.
  • Prime Day timing created an 850-basis-point sequential impact to Q3 advertising growth, alongside NBA programming and search-marketing comparisons.

Risks raised

  • Memory component costs and significant depreciation remain headwinds as AWS capacity investment accelerates.
  • AI margins remain below core AWS margins, and faster AI growth puts pressure on AWS margins overall.
  • Inference adoption in enterprise production remains early, with cost and customer expertise limiting broader deployment.
  • Fuel inflation and higher line-haul rates raised fulfillment costs, with Q4 fuel costs expected above Q3.
  • The company expects 2027 capital spending to be meaningfully higher than 2026's approximately $220 billion.

Tone: Confident 0.82

Management expressed strong confidence in AWS demand, retail momentum, and investment returns, while acknowledging heavy spending, lower AI margins, and cost headwinds.

Who spoke

Company

  • Andrew JassyPresident and Chief Executive Officer

Analysts

  • Brian NowakAnalyst, Morgan Stanley
  • Doug AnmuthAnalyst, J. P. Morgan
  • Ross SandlerAnalyst, Barclays

Full transcript

Analyst questions are marked with a bar. Timestamps are into the recording.

Questions and answers

00:00

Thank you for standing by good day everyone and welcome to the amazon. com Q3 2026 financial results teleconference at this time all participants are in a listen-only mode after the presentation we will conduct a question and answer session today's call is being recorded for opening remarks I'll be turning the call over to the vice president of investor relations mr. Dave files thank you sir please go ahead hello and welcome to our Q3 2026 financial results conference call joining us today to answer your questions is Andy Jassy our CEO and Brian Alsoski our CFO as you listen to today's conference call we encourage you to have our press release in front of you which includes our financial results as well as metrics and commentary on the quarter please note unless otherwise stated all comparisons in this call will be against our results for the comparable period of 2025 our comments and responses to your questions reflect management views as of today October 29th 2026 only and will include forward-looking statements actual results may differ materially additional information about factors that could potentially impact our financial results is included in today's press release and our filings with the SEC including our most recent annual report on form 10k and subsequent filings during this call we discussed certain non-gap financial measures in our press release slides accompanying this webcast and our filings with the SEC each of which is posted on our IR website you will find additional disclosures regarding these non-gap measures including reconciliations of these measures with comparable gap measures our guidance incorporates the order trends that we've seen today and what we believe today to be appropriate assumptions our results are inherently unpredictable and may be materially affected by many factors including fluctuations in foreign exchange rates and energy prices changes in global economic and geopolitical conditions tariff and trade policies resource and supply volatility including for memory chips and customer demand and spending including the impact of recessionary fears inflation interest rates regional labor market constraints world events the rate of growth of the internet online commerce cloud services and new and emerging technologies and the various factors detailed in our filings with the SEC our guidance assumes among other things that we don't conclude any additional business acquisitions restructurings or legal settlements it's not possible to accurately predict demand for our goods and services and therefore our actual results could differ materially from our guidance and now I'll turn the call over to Andy thanks Dave we're reporting two hundred one point nine billion dollars in revenue up twelve percent year over year operating income was twenty eight point one billion dollars up sixty one percent year over year Q3 was another strong quarter for Amazon in AWS our plan is working despite lapping a comparable year over year period where we added a lot of capacity AWS grew 39.3 percent year over year accelerating for the sixth straight quarter our fastest growth in nearly five years backlog is five hundred seventy eight billion dollars growing triple digits year over year and well diversified we're installing an AI accelerator about every 14 seconds and almost as fast as we install capacity customers are gobbling it up our core compute and storage revenue grew at their fastest rates in several years our operating margins have long been strong on our core offering but rapidly improving on the AI side too well ahead of where they were on court a similar time of evolution even with heightened component costs like memory and significant depreciation from the CAPX we're investing we continue to accelerate our CAPX payback and have even more conviction than we already had that the investment we're making in AWS will yield a much larger revenue and free cash flow generating business than we would have imagined a couple years ago with strong return on invested capital we have a compelling flywheel spinning in AWS borrowing from Jim Collins flywheel definition and good to great where if you do a you almost can't help but do being if you do be you almost can't help but do see and so on in AWS having the leading functionality security and operational performance can't help but drive customers run their apps and store their data in AWS which can't help but drive AWS AI demand because customers prefer their production inference to be near the rest of their data and apps which can't help but drive core AWS demand because AI uses core for work like reinforcement learning post-trading tool usage which can't help but drive reinvestment back into our broader AWS functionality this is a different model and primarily hosting GPUs or renting short-term data center capacity this is a long-term platform strategy that broadly helps customers invent and evolve their customer experiences operate stably and build a reliable partnership they can grow for many years and it also yields very attractive long-term economics for us regardless of supply scarcity there are many examples that illustrate our progress made of us but I'll share a few on the core side it's important to remember that the vast majority of global IT spend about 85% is still on premises and we're in a 10 to 20 year cycle with that equation will flip to the cloud conventional wisdom has been that lynchpin workloads like mainframes or storage array networks would never move to the cloud but these workloads are moving as AWS has built unique cloud substitutes and AI-driven migration capabilities to make this transition much easier and enterprises get the benefits of less CapEx lower operating costs faster innovation better developer productivity and data accessibility to more easily leverage AI our core business has attractive margins because we've learned to run it very efficiently over the last 20 years as our core business grows we keep reinvesting in our core AI functionality for example as customers generate increasingly more data and seek to get value from it in analytics and AI the complexity of moving data between data stores and analytics engines is owner expense with our acquisition of Duck Labs DuckDB will become the universal SQL dialect of AWS storage analytics simplifying data processing with a modern analytics engine that is fast simple to use and ubiquitous and where customers will be able to write SQL queries once and then execute using any AWS analytic service for the first time in analytics customers will have zero migration or portability cost between query engines this is a big deal and you can imagine how it'll also help agents do efficient querying as well on the AI side we continue to expand the capabilities of our inference service Amazon bedrock and it's leading to remarkable growth with Fortune 500 companies spending nearly seven times more on bedrock year over year and total bedrock token volume growing nearly 17 times year over year bedrock is the fastest growing multi-billion dollar service native US's history we've recently added open AI models to bedrock and usage is growing quickly we also just added bedrock managed versions of Timmy GLM and SpaceX models you can't have a conversation about AI today without talking about security it's another reason customers keep choosing bedrock we've designed bedrock so customers data remains secure and private inputs and outputs are never shared with model providers or used to train-based models when customers tune a foundation model we create a private copy specifically for their use and data is fully encrypted both in transit and arrests as frontier models get more powerful they're servicing software vulnerabilities previously not found and it unprecedented rates we built AWS continuum to discover prioritize validate and remediate code vulnerabilities and machine speed it's already being used by customers like Capital One IBM in for Luminate and Robinhood in Q3 we announced that we'll integrate it into the tools where codes being written and Thoropics cloud code open AI's codecs and AWS's cure-up the interest in customers exceeds anything we've ever seen for a new security service agents continue to be deployed at accelerating rates many of which are being built on bedrock agent cores building blocks tens of thousands of customers currently use agent core deploying two times more agents with it in Q3 than the prior three quarters combined in addition to building their own purpose build agents most companies will also use turnkey agent services and we offer several the customers low cure for coding Amazon connects for contacts and our agents and Amazon transform for migrations they're all iterating quickly and picking up customer momentum as is Amazon quick our intelligent AI work companion which is growing very rapidly as large enterprises like Mondalees, Echo Star, 3M, Southwest Airlines and DXC are choosing quick because it's purpose built for work with no compromises on customer data finally our chips business continues to grow triple digit percentages year over year and revenue commitments for Graviton and training have each increased more than 20 times year over year AI continues to be a tailwind for Graviton because post-training reinforced learning and agent tool use is mostly done on CPUs versus AI accelerators and Graviton is the strongest CPU chip offering up to 30 to 40 percent better price performance than alternatives customers using our custom silicon save more than two billion dollars in Q3 alone and we just open source torch neurons as developers can run existing PyTorch code which most already use on training without rewriting a thing as we launch new generations of chips demand for prior generations remain strong after our launch of Graviton 5 backlog for prior generation Graviton instances still more than double quarter over quarter and short-term capacity for prior generation training instances so to premium compared to the first half of the year with training demands so strong customers continue encouraging us to make it available outside of AWS we intend to do so late in 2027 overall demand for AWS capacity remains exceptionally strong enterprise they're still very early in using inference of scale and yet inference already counts for well over half of AWS's AI revenue and growing and we have a lot of training revenue as well we still expect 2026 cache catbacks of approximately 220 billion dollars the majority for AWS and expect to spend meaningfully more in 2027 with a clear line of sight to attract financial returns as I laid out on our last call AWS is a 184 billion dollar annualized revenue run rate business yet the opportunity remains extraordinary with our continued pace of innovation new core and AI functionality enterprises wanting to run their core and AI workloads in AWS and the amount of capacity that we're adding each year we believe that AWS can grow north of 40% in each of 2027 and in 2028 and be a trillion dollar revenue business in the next five to ten years we're in the very early days of this inflection our strategy is working and I expect it will for the foreseeable future in stores I think some folks are sleeping a bit on how much progress that business has made and what it's become the last few years I'm not aware of another retail business approaching Amazon's revenue size hundreds of billions of dollars with double-digit operating margins inclusive of ads it's growing at this pace year to date units have grown nearly 15% year over year and that's not an enormous space having sold more than 30 billion items last year in absolute dollar terms we've added more than 90 billion dollars in gross sales in the trailing 12 months we're growing meaningfully faster than other retail competitors adding about double the gross sales per quarter than our next largest competitor in the US and consistently taking retail market segment share over the past few years our North American international segments have each expanded operating margins by nearly 10 percentage points which enables us to reinvest in making the customer experience even better remember it's still early the significant majority of retail nearly 80% currently occurs in physical stores that will eventually flip the commerce over time we're helping enable this shift by rapidly building out our efficient and speedy fulfillment network providing delightful customer experiences while driving significant free cash flow and return invested capital each of our priorities from faster delivery to cost to serve to groceries and pharmacy to AI shopping are force multipliers and we're firing on all cylinders our delivery speeds keep getting faster as we invest in our same day network as well as our Amazon now and Amazon Prime Air ultra-fast services we had our fastest Q3 ever globally and we delivered more than 1.5 billion items to prime customers same day or overnight in Q3 we're energized by the customer response to our rapid rollout of Amazon now around the world is now available in over 450 towns and cities and the number of items ordered through Amazon now up 10x year-of-a-year we're on track to reduce costs to serve per unit for the fourth consecutive year which enables us to continue meeting or beating competitors prices and cost effectively deliver a broad selection of fresh groceries in everyday essentials increasing speed is fueling our grocery business including perishables and everyday essentials and growth sales grew to nearly 250 billion dollars in the trailing 12 months in Q3 fresh groceries and everyday essentials grew about three times faster than the rest of our store representing about half of all units sold customers who shop perishables with same-day delivery by nearly seven times more everyday essential units than those who don't an active grocery customer shop nearly four times more non-grossery categories like home in apparel and spent over two times more on those categories compared to non-grossery customers Amazon pharmacy is also growing fast the number of customers using it is up over 60% year-of-a-year with growth accelerating each quarter through 2026 and repeat customers grew more than 50% year-of-a-year JD power recently ranked Amazon pharmacy the top mail order pharmacy for the third year in a row and we keep making it even better now offering three-hour prescription delivery more than 350 cities over 400 million customers have used Alexa for shopping our agentic shopping assistant in the last 12 months with customer interactions up 570% year-of-a-year US customers using Alexa for shopping are spending 50% more per order than those who don't it researches products compares options checks a full year of price history gets personalized gifts recommendations and tracks deals and price drops on customers behalf though we anticipate working with horizontal agents we believe Alexa for shopping is going to be the primary shopping agent customers use to shop Amazon having a shopping assistant constantly by your side as you browse get inspired have questions on product detail pages and that you can simply ask to buy something based on your prior purchases that already has your history your shipping address and payment info is uniquely helpful and convenient for customers moving to Amazon ads we generate 19.6 billion dollars of revenue in Q3 up 12% year-of-a-year though there were some timing anomalies in this past quarter we continue to be pleased with the overall momentum across our ad offerings I'll mention three items impacting the growth rates first we shifted prime day into Q2 for most countries moving significant sales and ad revenue that were in Q3 25 into Q2 26 a tailwind to our Q2 2026 rate and a headwind to Q3 2026 for advertising that was 850 basis points sequential impact to Q3 year-of-a-year growth second Q2 26 included the first season of MBA on prime which last year's Q2 didn't have well Q3 does not include any NBA it starts in Q4 and third in Q3 2025 we changed our search engine marketing programs to drive more traffic to search pages on Amazon it's a better experience for customers and we also monetize that traffic at a higher rate and helped accelerate advertising revenue growth starting a year ago and we started lapping that in Q3 we expect year-of-a-year growth will return to the high teams in Q4 an actual question is whether agent shopping from external horizontal agents is meaningfully impacting Amazon ads and the answer is no few customers are doing much shopping this way yet is the experience is still not great nor more convenient than coming to a retailer directly to research or one-click order there Q3 was chock full of innovation from our ad team that we expect to have impact in the coming months headline by Amazon ads agent which brings together a full advertising offering under a single AI first platform backed by trillions of shopping browsing and streaming signals it supports advertisers at every step with insights answers the ability to optimize and act on their behalf we also launched full funnel campaigns in Amazon ads agent bringing sponsored ads display video and streaming TV into a single campaign advertisers provide initial inputs including budget and duration and Amazon's AI plans executes and continually optimizes the rest we're continuing to see momentum in several other areas I'll mention just a few prime video has emerged as a significant business with a revenue run rate in the tens of billions of dollars and now profitable in its own right we have momentum with hit shows like Kerry the summer I turn pretty the boys off campus reach her and fallout and breakout movies like Project Hail Mary along with compelling live sports including Thursday night football off to its best start ever in 2026 NBA on Prime NASCAR the Masters and UEFA Champions League Soccer we recently launched our most powerful devices lineup yet with 34 new products across Echo Kindle Alexa tablets fire TV ring and B it's early but we're off to a very strong start and excited for more customers to get their hands on these as we head into the holidays and finally Amazon Leo remains on track to begin initial service this year we're heading into one of our most exciting stretches of the year with both reinventing the holidays and I want to thank our teammates for their hard work and invention to make customers lives better and easier every day what we're building in Amazon is unlike anything that's ever been seen before there has never been a business with a trillion dollars the annual revenue Amazon is on a path to have two of them in AWS and stores it's rare and we're energized by what they had over to you bright thank you Andy let's start with our top line financial results worldwide revenue was 201.9 billion dollars the 12% increase year-of-year and 13% increase year-of-year excluding the impact of foreign exchange worldwide operating income was 28.1 billion dollars with an operating margin of 13.9% which is our highest operating margin ever starting with our North American international segment results first let me remind you the prime base shifted this year with the sales event occurring in Q2 for most of our largest countries including the United States in 2025 prime day was entirely in Q3 excluding the impact this prime date time change third quarter 26 year year growth would be approximately 400 basis points higher in Q3 we saw strong customer engagement in a continuation of trends from the first half of the year in the North America segment third quarter revenue was 112.9 billion dollars an increase of 6% year-of-year international segment revenue was 43.1 billion dollars an increase of 8% year-of-year excluding the impact of foreign exchange worldwide paid units through 12% year-of-year prime remains a key pillar of our business hundreds of millions of prime members are responding to our combination of vast selection low prices and record delivery speeds over the past year monthly orders of fresh groceries placed by our prime members for three same-day delivery have more than tripled the shift to profitability North America segment operating income was 8.7 billion dollars with an operating margin of 7.7 percent international segment operating income was 1.6 billion dollars with an operating margin of 3.7 percent in our fulfillment network the team navigated higher transportation costs from fuel inflation and higher line haul rates even with these headwinds we still lowered our overall cost of serving Q3 to better inventory placement shorter shipping distances and package consolidation shipping cost increase 11% year-of-year versus a 12% increase in units excluding fuel and line haul inflation shipping cost grew 8% or approximately 400 basis points slower than unit growth robotics and AI are delivering measurable gains in productivity and employee safety which will expect to compound in the future in 2026 we doubled our fleet of robotic arms like Cardinal and Sparrow we're also developing robotics foundation models that enable faster programming and teach robots increasingly complex physical tasks with the goal of delivering useful robotics at scale looking ahead we see meaningful opportunities to improve productivity across our global filament network and lower our cost to serve while continuing to get products to customers faster our operating margin we fluctuate quarter to quarter but we're focused on sustained long-term improvement in our cost to serve per unit moving to our AWS segment revenue is $46 billion in grew 39.3 percent year per year driven by both core and AI services we added $3.8 billion in quarter over quarter revenue AWS now has an annualized revenue run rate of $184 billion customers continue to move to the cloud and scale their use of AWS core services and increasingly customers who want the full benefits of AI are accelerating their transition to the cloud we see a strong linkage between AI spend and growth in our revenue for core services as customers invest in AI we see a corresponding increase in core consumption when we expect that relationship to strengthen as more AI workloads move into production and drive additional demand for compute storage and networking AWS operating income was $17.8 billion with an operating margin of 38.7 percent reflecting strong growth and our focus on driving efficiencies our investments in custom chips and custom networking along with software and process improvements are helping us optimize capacity and build a more cost-efficient infrastructure as we've long said we expect AWS operating margins to fluctuate driven in part by the level of investment we're making at any point in time our AI offerings are gaining traction with customers with AI revenue growing triple digits year over year bedrock has been a significant growth driver now turning to our cash catbacks which is $75.9 billion in Q3 this primarily relates to AWS and AI as we invest the support strong customer demand we continue to make significant investments especially in AI as we believe it to be a massive opportunity with the potential to drive long-term revenue and free cash flow as well as return on invested capital I'll finish with our financial guidance for Q4 Q4 net sales were expected to be between 240 billion dollars and 247 billion dollars we estimate the year-of-a-year impact of changes in point exchange rates based on current rates which would expect to be a headwind of approximately 60 basis points in the quarter before operating income is expected to be between $28.5 billion and 33.5 billion dollars I'll mention one factor impacting our Q4 guidance Amazon Leo's commercial service is on track to begin initial service this year and we expect to begin capitalizing certain costs in Q1 of next year including production and launch costs this is later than I've been predicting in earlier earnings calls as a result we will continue to expense the majority of customers and and to support the millions of customers building with AWS I want to thank our teams across Amazon for their hard work and focus on customers our commitment to elevating the customer experience remains the only reliable way to create lasting value for our shareholders with that let's move on to your questions thank you at this time we will now open the call up for questions we ask each caller to please limit yourself to one question if you would like to ask the question please press star one on your keypad we ask that when you pose your question you pick up your hands that's the provide optimum sound quality once again to initiate a question please press star then one on your touch tone telephone at this time please hold what we pull for questions thank you and our first question comes from the line of Justin post with Bank of America please proceed with your question great thank you Annie can you just see the cloud business accelerate which is really nice but the quarter of a quarter growth slowed and I just wondering if there's any call outs there on the customer side or token costs or anything that kind of drove that and how do you think about the capacity ads in Q4 and then Brian maybe just any impact of fuel costs on your guidance in Q4 thank you yeah I'll start with the growth question we're really pleased with the growth you know 39.3 percent on a business it's got a $104 billion annual revenue run rate is quite unusual our fastest growth in about five years or six quarter consecutively of acceleration and you know we're adding we're adding quite a bit of capacity I think if you look at what's driving the growth right now it's a combination of a few things you know on the AI side the the unusual top to bottom stack functionality we have whether you're you're building your own model with SageMaker AI which is the easiest way to build your own model or you want to leverage one of the leading frontier models with high security and very strong price performance you know people can use bedrock whether you are building your own agents where we have capabilities like strands and agent core to build and to run those securely and scalably or you're going to use turnkey agents which most companies do if you just look across you know Kiro for coding and connect for call center and transform from migrations and quick which is growing incredibly fast as an AI companion at work people are adopting those very quickly and then you know we add a lot of capacity every quarter now the amount that we add every quarter is not equal and you know we're adding different amounts each quarter but if I look at how much we've added this year and what we have planned over the next I'll call it eight quarters or so you know which is about as far out as we get eight to ten quarters we have a lot of capacity coming as well and then you know I layer on top of that too just the impact of chips we're very well positioned for what's happening in AI because increasingly what you're finding right now is most customers every customer that runs the use AI at scale but particularly enterprises now as they're starting to deploy more inference into production they are very eager to save on price performance and training them with a meaningful advantage it has in price performance versus other alternatives it's very compelling to people and then as more and more people are using AI in a very broad way it drives a lot of the core in capabilities like reinforcement learning and post trading and tool calling and we have the leading CPU chip and graviton which is about 30 to 40 percent more price performance than other x86 providers so it's those things are really driving very significant growth the amount of capacity we add each quarter will vary but we're we're I mean at this scale to be projecting growing over 40 percent year over year each of 20 27 and 20 28 is pretty significant and the fact that we believe that this can be a trillion dollar revenue business in five to ten years it's it's an extraordinary unusual opportunity that we're very excited to be pursuing and Justin on your question about fuel and line hole inflation I would say I'm looking at it done an exact number for you but it is higher in Q4 than it was in Q3 if you remember we instituted fuel surcharge in the beginning of the year for FBA sellers that recovers some but not all of the costs that we're seeing on fuel for for those shipments and then the remaining part is on the retail inbound shipments and outbound shipments so it's in there it's a little bit higher than Q3. Thank you our next question comes from the line of Brian Noak with Morgan Stanley please proceed with your question.

30:41

Brian NowakAnalyst, Morgan Stanley

Thanks for any of my questions I have to Andy your um your your excitement about AWS is coming through the line it's it's pretty rare you'd make comments about a trillion dollars of revenue five to ten years from now it's it's more than you could give so can you just maybe walk us through how you get to that trillion of dollars the top down is the bottom is up so what what gives you confidence you're going to be able to put up that type of revenue growth and to get to that type of a number of the next five to ten years then the second one just for for either of you on the robotic side as we look into 27 what are the key milestones you're both focused on on the robotic side for for the retail business yeah on the AWS side it's just look at the growth rates Brian you know go get the growth rates on the run rate and then look at what we're projecting in 27 and 28 and as I've said a few times you know we will always despite how much capacity we're providing we you know the big chunks of capacity that people take you know the hundreds of megawatts or sometimes up to a gigawatt of capacity those big chunks are reserved well in advance because you know you can't leave a gigawatt of capacity hanging around and so we have very good visibility into 27 and 28 and some of 29 too with respect to what customers want in those really big chunks of capacity we will always leave a fair bit of capacity available for on-demand on EC2 or in bedrock and we're working closely with our customers and they'll have plenty of capacity to be able to use in AWS but we have very good visibility into the next few years on what AWS looks like those types of growth rates when you when you do the math on the on the revenue and the revenue run rate we have gets you pretty quickly to escalating numbers and then I'd say that on top of not believing that a lot of the usage we see today is going to attenuate anytime soon we're still really early in enterprises using inference in their production applications in a pervasive way it's just it is just really early and some of that is enterprises having enough people who know how to operate in AI and post train and fine tune models for the right applications some of it is the cost of inference you know I think if we all want enterprises to be able to use inference the way we all believe they will we have to keep working on taking the cost of infants down that is a huge mission for AWS it's one of the significant reasons why we're building our own custom silicon and training is that we we just really believe it's incredibly important for customers to be able to use inference in a much more cost effective way that has come down a lot the cost of inference over the last couple years and I think we'll come down meaningfully more and so you know and then you just think about just think about what you're seeing you know if you think about security as an example just by itself the models today are so advanced that the vulnerabilities that they're finding humans just haven't found and if you've had access to these models it leads to you're using these models to both find them and ultimately to help with patching them and deploying and there are some people who think that the amount the total amount of tokens used over the next year or two 20 percent of it if some significant percent of it may end up being just security and that's a relatively new use case on top of what we're seeing with coding and how that continues to grow on top of what we're seeing with you know the various I'll call it AI companions both in the consumer space and in the workspace like with quick and these are just the initial big use cases and you layer on top of that what you're going to see with enterprises where I believe virtually every enterprise modern enterprise production application will be rewritten to be agentically capable because that's the way you're going to have to deploy if you want to move quickly or you want to actually guard in the right way against some of the security risk there is just so much AI coming and so you know that's you can't predict you can't predict with any certainty five to ten years from now especially these types of growth rates but it's not a stretch for us to imagine that this could be over a trillion our business on the robotic side what I would say is that it's pretty remarkable what's happening in now I'll say in general but particularly at Amazon we have over a million robots now in our fulfillment network and while they're having very significant impact on our cost structure and on our productivity and on safety you know if you look at our safety numbers in our fulfillment network they're at record low numbers we've made huge progress over the last four to five years and robotics has been a big piece that and yet I would tell you we're still so early with respect to both what we have deployed built and deployed and what we're working on and I think that you'll see we will always have a lot of teammates in our fulfillment centers but I think a lot of the jobs that we have that are more repetitive that we have humans doing will be done by robots I think we will we're investing in all sorts of additional robotics of all different form factors I think we have the the opportunity to also assist in some of the delivering of the last hundred yards to customer stores we have a lot coming and so you know for us the way we measure robotics are does it lead to comparable or better productivity safety cost structure and time to delivery and when we like that combination of economics we will deploy it at scale in in our fulfillment network and if I look at the new designs that we have coming in our fulfillment network they including our you know our expansion of same day facilities they are very heavy on robotics so we think it's had a big impact and we think it's small compared to what it's going to be in the next five years thank you our next question comes from the one of Mark Mahaney with Evercore ISI please proceed with your question two things one first thanks a lot for the forward comments on AWS growth could I ask you to draw out on margins to you know the I know that margins can move up and down quarter to quarter but over the next two years you think the current margin structure is relatively stable you know we kind of hold with these kind of high 30s 40 percent operating margins for AWS and then on perishable checkout I'm super excited about this opportunity just watching how it's rolled out in in my neighborhood in other areas how much coverage do you have for perishable checkout in other areas how many how many prime households do you think you've covered with perishable checkout and for those that you that have that have used it how much of a boost you think that is per prime household but is this something that increases spend per prime household by 20 percent 50 percent 100 percent just getting how large the fresh grocery category is thanks a lot.

38:05

Andrew JassyPresident and Chief Executive Officer

Hey Mark let me start with the operating margin outlook for AWS so we're not we're not guiding out beyond we're not guiding it all on our margin for AWS but I can tell it gave you my color on it so you know very seems very strong up margin 38.7 percent this quarter and I would add that the profitability you've been seeing recently is really not a random output it's result of a lot of discipline deficiency gains capacity optimization closely managing our fixed cost and as Andy said you know the inclusion of over time more and more custom chips into our cost structure however you know there are other things bouncing around in fact the you know the outsized growth of AI puts margin pressure on the business as a whole because the margins are lower there we are we are happy with the progression in both core and AI margins and they're as Andy said earlier they're ahead of where the core was at a similar point in time but but they're still lower so there's gonna be that next issue there's also headwinds from component pricing that we've talked about so cannot predict it but it's going to be always a confluence of these multiple factors that we're working very hard on the cost side and the efficiency side and dealing with investments and new product margins as they start up and launch and reach scale.

On the perishable checkout mark I share your enthusiasm about it it's you know we've had a you know we've had a big grocery business for a while and it's mostly been in the middle aisles of what you find in your grocery store consumables, canned goods, pharmaceutical items, beauty products and we've had this you know leading organic grocery store in Whole Foods Market which also is you know it's growing faster than the rest of the grocery segment both on the top line and the bottom line with a new format and daily shop and urban environments is doing really well that we're in the process of rolling out over the next couple of years but we've always known if we wanted to be able to serve customers the way we think they want to be served and the way we want to we have to have a mass offering and it starts with perishable and you know if you look at the total spend per household you know we look at the difference between the total amount of spend that we think our consumers and customers are spending on items that we could serve them on versus what they spend on us the biggest difference is grocery and you know and a lot of your shops a lot of grocery starts with perishables and so we are we really are excited that we feel like we found something with shipping perishables out of our same day facilities you know we we've grown our everyday essentials about three times faster than the rest of our store it represents about half of our units now if I look at all the everyday essentials we find as customers who shop perishables through our same day delivery they buy about seven times more everyday essential units than those that don't so again if you're trying to close that gap between what consumers spend overall and the items that we can provide versus what they spend with us perishables has a huge impact on that we also see that our grocery customers shop now four times more non-grocery categories like home and apparel and a bunch of other categories and spend about two times more on those categories compared to those who don't use us for grocery so those are big differences and we believe that the progress we're making on perishables and grocery is going to ultimately lead to more you know being more relevant to customers for more other shopping missions thank you our next question comes from the line of Eric Sheridan with Goldman Sachs please proceed with your question thanks so much for taking the question maybe a two-parter on market opportunities within AWS first you know with respect to bedrock would have been your key learnings about the market opportunity around bedrock and how it might continue to scale in the years ahead and then with respect to the decision to sell training externally how do you think about balancing the market opportunity of external sales relative to the need for compute for that opportunity relative to other opportunities broadly across both internal use cases and AWS thanks so much yeah on the bedrock side you know I would tell you you've probably heard this from us multiple times over the last couple years but one of the lessons that we we've learned you know I'll say for 20 plus years in offering technology to customers is that there is not one tool to rule the world people always assume that whatever is in the lead early on is going to be the the only thing or things that people use and it's never the case it's not true in database it hasn't been true in analytics in the beginning of AI everyone said the only framework people use tensor floats turns out you know high torches much bigger now and so it's and it's not going to be true with models either you know in you know I'll say in the next two to three years I think they're going to be six to eight models that are about as good as each other or at least good enough for 95 plus percent of what the workloads and some will be better reasoning and some will be better at coding and some will be better at visual pieces and some will be lower latency and some will be lower cost and most customers are going to use multiple models and many will use multiple models in the same generative AI application and so what customers really want to do and we see this validated over and over again when we talk customers is they want a service that has really broad selection of those frontier models and that has very good price performance and it has very strong security and access control and they want that service so they can kind of decide what combination of models they want to use and the swap them back and forth as they leapfrog each other as different constraints but their applications require them and that's what we see with bedrock people are very excited about it we have you know we have both closed models in models like anthropic and open AI's models we have open models with chimney and GLM and others I think the western world is very hungry for additional open models that are western open models and so I believe that will happen over time as well but I think that the size of the opportunity in bedrock is gigantic and it could be a service as large as EC2 which is a very large service today in what you sell externally versus what you use inside your cloud it's a very good question and it's a question that we're continuing to evaluate as we speak I would say that the number of companies who have a significant cloud business and chip strong enough to sell externally is effectively too so there really aren't many customers that have to grapple with the same type of problem at this you know type of scale and at this point everybody is producing their advanced chips with the same provider there's only so many chips that provider can provide each year everybody gets an allocation and you have to decide with that allocation how much of it you want to sell externally and how much of it you want to use in your cloud and there's a trade-off you know if you sell externally you're able to realize more revenue in the short term because you get to recognize the revenue as soon as it leaves your inventory and on the flip side if you decide to use it inside your cloud in the form of EC2 instances or bedrock you actually will end up driving more absolute revenue and free cash flow from those chips because you get to use them over you know five to six years and drive revenue for a longer period of time so it is you have to really think through what you want to do to date I would say that we've taken a different approach in how we've used our chips and the other provider who has the same type of balancing act going on and you know as I mentioned earlier we believe we're going to have a very significant business selling chips externally and we're going to start in late 2027 and we will be thinking through that balance I think probably every year but they'll both be very significant the our our ability to create price performance scalable chips is going to be a very significant strategic advantage for us at scale both in our own cost structure as well as in building a separate business and selling external chips and selling external chips really isn't a very different business than your cloud infrastructure business Thank you.

47:44

Our next question comes in the line of Doug and myth with JP Morgan please proceed with your question.

47:50

Doug AnmuthAnalyst, J. P. Morgan

Thank you for taking questions when you think about the 40 percent plus AWS revenue growth each of the next two years and then the multi-year path beyond that can you just talk about the capex required to drive that kind of revenue over the next couple years and beyond and then also Andy any updates just to how you're thinking about the duration of returns on both servers and networking and then also data centers.

48:15

Andrew JassyPresident and Chief Executive Officer

Thanks. Yeah I'll take them in reverse order so on the break even our infrastructure as I mentioned my opening comments were continuing to move that left we're continuing to make that shorter there you know there are a lot of you know cores a little bit different from AI's a little bit different from how you finance these things it's very it varies depending on which you're talking about but we're continuing to make progress as we historically have been pretty good at doing if you think about AWS at finding ways to extend useful lives and to make the break even sooner and we're making good progress there too.

On the you know the on the capex involved to grow the way we're talking about it's meaningful you know and you know I think that this the way we think about it Doug is that this is a once-in-a-lifetime opportunity you know I think what we're seeing with AI it's the biggest transformation in our lifetime and if you know the idea of being able to grow 39 percent with a hundred eight four billion dollar annual run rate and to grow 40 percent a year on top of that in you know each of the next two years and they ultimately end up as a trillion dollar plus business we're going to invest to continue being the leader you know we are the leader today in you know the I'll call it the infrastructure and AI space and you know would it be more convenient if this type of acceleration and opportunity happened over 25 years and you could spread the capex over 25 years yeah it might be more convenient but that's not the world that we live in and that's not the opportunity and we we can fund this plan and I think it will forever change the size of Amazon will ever change forever change our revenue it will forever change our free cash flow and we're going to invest and we're going to pursue it to continue to be the significant leader like we are today.

50:29

Thank you and our final question comes from the line of Ross Sandler with Barclays please proceed with your question.

50:36

Ross SandlerAnalyst, Barclays

Great yeah I thought I doubled down on the bedrock question so the token marketplace on bedrock seems to be one of the hottest services in AI right now and our understanding of the majority of these workloads are running on tranium so as this becomes a bigger part of the overall AWS story like you just mentioned Andy how might that impact both revenue growth but especially margins at AWS as you kind of shift from selling bare metal to selling more inferences of service could you just talk about that thank you yeah well you know you're right that the majority and most of bedrock day is being run on top of tranium and we we do that in meaningful part because we really like the price performance that we're getting and it allows us to keep to both keep prices as low as possible for customers as well as our ability you know we like the the margins associated with it you know if you think about margins in the cloud space and you're looking at different players and you know what their cost structure looks like there are a few things to pay attention to you know the first is for their data centers how many of them are they actually you know buying or long leasing versus doing colo or margin than if you long lease them so you know and then then you look at you know what is the hardware on top of which they're running and you know the if you're if you're using the hardware that everybody else is using you'll have a comparable cost structure to what everybody is doing and if you have the ability to use hardware that's different you'll have an advantage and so I think when you when you look at what we're doing most of our capacity is either owned or long long leased which is you know it enjoys better operating margins than what you find when people are mostly doing colo or neo or big chunk doing colo or neo and the fact that we're running on top of our own chip that's providing both advantage price performance and it's more cost-effective for ourselves because we own it I think gives us some structural cost advantages that I think are going to be very helpful to customers as we pass them back to customers and helpful to the overall economics of AWS.

53:27

Thanks for joining us for the call today and for your questions a replay will be available on our investor relations website for at least three months we appreciate your interest in Amazon and look forward to speaking with you again next quarter

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