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Amazon CEO Andy Jassy on Thursday published his annual shareholder letter where he reflected on one of the most challenging periods in the e-retailer’s history, and signaled he remains confident that recent cost-cutting efforts will pay off.

Jassy said he’s spent the last several months taking a “deep look across the company, business by business” to examine whether each unit has the ability to generate enough revenue, operating income, free cash flow and return on invested capital.

“In some cases, it led to us shuttering certain businesses,” Jassy wrote.

As part of the belt-tightening efforts, Amazon in recent months axed a telehealth service and other experimental projects. It also pressed pause on expansion of its Fresh supermarkets, and pared back warehouse expansion.

Amazon also instituted the largest job cuts in its 29-year history, letting go 27,000 employees through multiple rounds of layoffs. It also put in place a hiring freeze for its corporate workforce.

Even amid the cutting, Jassy, who took over from founder Jeff Bezos in 2021, said Amazon is still focused on growing some of its more unproven businesses, like its Kuiper internet satellite and grocery units.

The company is also investing in new areas, such as machine learning technology, he added. Amazon is responding to a boom in generative artificial intelligence tools, like OpenAI’s ChatGPT, that have captured the attention of Silicon Valley and set off an arms race between Microsoft and Google.

Amazon has used machine learning in various applications over the past few decades, Jassy said. It’s now working on its own large language models, or AI programs, that have the potential to improve “virtually every customer experience,” he added.

Jassy said Amazon’s juggernaut e-commerce and cloud computing units still have room to grow. But he acknowledged those businesses have encountered some recent challenges, including a slowdown in Amazon Web Services as companies are more cautious about their cloud spend.

“I’m optimistic that we’ll emerge from this challenging macroeconomic time in a stronger position than when we entered it,” Jassy wrote.

Dear shareholders:

As I sit down to write my second annual shareholder letter as CEO, I find myself optimistic and energized by what lies ahead for Amazon. Despite 2022 being one of the harder macroeconomic years in recent memory, and with some of our own operating challenges to boot, we still found a way to grow demand (on top of the unprecedented growth we experienced in the first half of the pandemic). We innovated in our largest businesses to meaningfully improve customer experience short and long term. And, we made important adjustments in our investment decisions and the way in which we’ll invent moving forward, while still preserving the long-term investments that we believe can change the future of Amazon for customers, shareholders, and employees.

While there were an unusual number of simultaneous challenges this past year, the reality is that if you operate in large, dynamic, global market segments with many capable and well-funded competitors (the conditions in which Amazon operates all of its businesses), conditions rarely stay stagnant for long.

In the 25 years I’ve been at Amazon, there has been constant change, much of which we’ve initiated ourselves. When I joined Amazon in 1997, we had booked $15M in revenue in 1996, were a books-only retailer, did not have a third-party marketplace, and only shipped to addresses in the US. Today, Amazon sells nearly every physical and digital retail item you can imagine, with a vibrant third-party seller ecosystem that accounts for 60% of our unit sales, and reaches customers in virtually every country around the world. Similarly, building a business around a set of technology infrastructure services in the cloud was not obvious in 2003 when we started pursuing AWS, and still wasn’t when we launched our first services in 2006. Having virtually every book at your fingertips in 60 seconds, and then being able to store and retrieve them on a lightweight digital reader was not “a thing” yet when we launched Kindle in 2007, nor was a voice-driven personal assistant like Alexa (launched in 2014) that you could use to access entertainment, control your smart home, shop, and retrieve all sorts of information.

There have also been times when macroeconomic conditions or operating inefficiencies have presented us with new challenges. For instance, in the 2001 dot-com crash, we had to secure letters of credit to buy inventory for the holidays, streamline costs to deliver better profitability for the business, yet still prioritized the long-term customer experience and business we were trying to build (if you remember, we actually lowered prices in most of our categories during that tenuous 2001 period). You saw this sort of balancing again in 2008-2009 as we endured the recession provoked by the mortgage-backed securities financial crisis. We took several actions to manage the cost structure and efficiency of our Stores business, but we also balanced this streamlining with investment in customer experiences that we believed could be substantial future businesses with strong returns for shareholders. In 2008, AWS was still a fairly small, fledgling business. We knew we were on to something, but it still required substantial capital investment. There were voices inside and outside of the company questioning why Amazon (known mostly as an online retailer then) would be investing so much in cloud computing. But, we knew we were inventing something special that could create a lot of value for customers and Amazon in the future. We had a head start on potential competitors; and if anything, we wanted to accelerate our pace of innovation. We made the long-term decision to continue investing in AWS. Fifteen years later, AWS is now an $85B annual revenue run rate business, with strong profitability, that has transformed how customers from start-ups to multinational companies to public sector organizations manage their technology infrastructure. Amazon would be a different company if we’d slowed investment in AWS during that 2008-2009 period.

Change is always around the corner. Sometimes, you proactively invite it in, and sometimes it just comes a-knocking. But, when you see it’s coming, you have to embrace it. And, the companies that do this well over a long period of time usually succeed. I’m optimistic about our future prospects because I like the way our team is responding to the changes we see in front of us.

Over the last several months, we took a deep look across the company, business by business, invention by invention, and asked ourselves whether we had conviction about each initiative’s long-term potential to drive enough revenue, operating income, free cash flow, and return on invested capital. In some cases, it led to us shuttering certain businesses. For instance, we stopped pursuing physical store concepts like our Bookstores and 4 Star stores, closed our Amazon Fabric and Amazon Care efforts, and moved on from some newer devices where we didn’t see a path to meaningful returns. In other cases, we looked at some programs that weren’t producing the returns we’d hoped (e.g. free shipping for all online grocery orders over $35) and amended them. We also reprioritized where to spend our resources, which ultimately led to the hard decision to eliminate 27,000 corporate roles. There are a number of other changes that we’ve made over the last several months to streamline our overall costs, and like most leadership teams, we’ll continue to evaluate what we’re seeing in our business and proceed adaptively.

We also looked hard at how we were working together as a team and asked our corporate employees to come back to the office at least three days a week, beginning in May. During the pandemic, our employees rallied to get work done from home and did everything possible to keep up with the unexpected circumstances that presented themselves. It was impressive and I’m proud of the way our collective team came together to overcome unprecedented challenges for our customers, communities, and business. But, we don’t think it’s the best long-term approach. We’ve become convinced that collaborating and inventing is easier and more effective when we’re working together and learning from one another in person. The energy and riffing on one another’s ideas happen more freely, and many of the best Amazon inventions have had their breakthrough moments from people staying behind after a meeting and working through ideas on a whiteboard, or continuing the conversation on the walk back from a meeting, or just popping by a teammate’s office later that day with another thought. Invention is often messy. It wanders and meanders and marinates. Serendipitous interactions help it, and there are more of those in-person than virtually. It’s also significantly easier to learn, model, practice, and strengthen our culture when we’re in the office together most of the time and surrounded by our colleagues. Innovation and our unique culture have been incredibly important in our first 29 years as a company, and I expect it will be comparably so in the next 29.

A critical challenge we’ve continued to tackle is the rising cost to serve in our Stores fulfillment network (i.e. the cost to get a product from Amazon to a customer)—and we’ve made several changes that we believe will meaningfully improve our fulfillment costs and speed of delivery.

During the early part of the pandemic, with many physical stores shut down, our consumer business grew at an extraordinary clip, with annual revenue increasing from $245B in 2019 to $434B in 2022. This meant that we had to double the fulfillment center footprint that we’d built over the prior 25 years and substantially accelerate building a last-mile transportation network that’s now the size of UPS (along with a new sortation center network to assist with efficiency and speed when items needed to traverse long distances)—all in the span of about two years. This was no easy feat, and hundreds of thousands of Amazonians worked very hard to make this happen. However, not surprisingly, with that rate and scale of change, there was a lot of optimization needed to yield the intended productivity. Over the last several months, we’ve scrutinized every process path in our fulfillment centers and transportation network and redesigned scores of processes and mechanisms, resulting in steady productivity gains and cost reductions over the last few quarters. There’s more work to do, but we’re pleased with our trajectory and the meaningful upside in front of us.

We also took this occasion to make larger structural changes that set us up better to deliver lower costs and faster speed for many years to come. A good example was reevaluating how our US fulfillment network was organized. Until recently, Amazon operated one national US fulfillment network that distributed inventory from fulfillment centers spread across the entire country. If a local fulfillment center didn’t have the product a customer ordered, we’d end up shipping it from other parts of the country, costing us more and increasing delivery times. This challenge became more pronounced as our fulfillment network expanded to hundreds of additional nodes over the last few years, distributing inventory across more locations and increasing the complexity of connecting the fulfillment center and delivery station nodes efficiently. Last year, we started rearchitecting our inventory placement strategy and leveraging our larger fulfillment center footprint to move from a national fulfillment network to a regionalized network model. We made significant internal changes (e.g. placement and logistics software, processes, physical operations) to create eight interconnected regions in smaller geographic areas. Each of these regions has broad, relevant selection to operate in a largely self-sufficient way, while still being able to ship nationally when necessary. Some of the most meaningful and hard work came from optimizing the connections between this large amount of infrastructure. We also continue to improve our advanced machine learning algorithms to better predict what customers in various parts of the country will need so that we have the right inventory in the right regions at the right time. We’ve recently completed this regional roll out and like the early results. Shorter travel distances mean lower cost to serve, less impact on the environment, and customers getting their orders faster. On the latter, we’re excited about seeing more next day and same-day deliveries, and we’re on track to have our fastest Prime delivery speeds ever in 2023. Overall, we remain confident about our plans to lower costs, reduce delivery times, and build a meaningfully larger retail business with healthy operating margins.

AWS has an $85B annualized revenue run rate, is still early in its adoption curve, but at a juncture where it’s critical to stay focused on what matters most to customers over the long-haul. Despite growing 29% year-over-year (“YoY”) in 2022 on a $62B revenue base, AWS faces short-term headwinds right now as companies are being more cautious in spending given the challenging, current macroeconomic conditions. While some companies might obsess over how they could extract as much money from customers as possible in these tight times, it’s neither what customers want nor best for customers in the long term, so we’re taking a different tack. One of the many advantages of AWS and cloud computing is that when your business grows, you can seamlessly scale up; and conversely, if your business contracts, you can choose to give us back that capacity and cease paying for it. This elasticity is unique to the cloud, and doesn’t exist when you’ve already made expensive capital investments in your own on-premises datacenters, servers, and networking gear. In AWS, like all our businesses, we’re not trying to optimize for any one quarter or year. We’re trying to build customer relationships (and a business) that outlast all of us; and as a result, our AWS sales and support teams are spending much of their time helping customers optimize their AWS spend so they can better weather this uncertain economy. Many of these AWS customers tell us that they’re not cost-cutting as much as cost-optimizing so they can take their resources and apply them to emerging and inventive new customer experiences they’re planning. Customers have appreciated this customer-focused, long-term approach, and we think it’ll bode well for both customers and AWS.

While these short-term headwinds soften our growth rate, we like a lot of the fundamentals that we’re seeing in AWS. Our new customer pipeline is robust, as are our active migrations. Many companies use discontinuous periods like this to step back and determine what they strategically want to change, and we find an increasing number of enterprises opting out of managing their own infrastructure, and preferring to move to AWS to enjoy the agility, innovation, cost-efficiency, and security benefits. And most importantly for customers, AWS continues to deliver new capabilities rapidly (over 3,300 new features and services launched in 2022), and invest in long-term inventions that change what’s possible.

Chip development is a good example. In last year’s letter, I mentioned the investment we were making in our general-purpose CPU processors named Graviton. Graviton2-based compute instances deliver up to 40% better price-performance than the comparable latest generation x86-based instances; and in 2022, we delivered our Graviton3 chips, providing 25% better performance than the Graviton2 processors. Further, as machine learning adoption has continued to accelerate, customers have yearned for lower-cost GPUs (the chips most commonly used for machine learning). AWS started investing years ago in these specialized chips for machine learning training and inference (inferences are the predictions or answers that a machine learning model provides). We delivered our first training chip in 2022 (“Trainium”); and for the most common machine learning models, Trainium-based instances are up to 140% faster than GPU-based instances at up to 70% lower cost. Most companies are still in the training stage, but as they develop models that graduate to large-scale production, they’ll find that most of the cost is in inference because models are trained periodically whereas inferences are happening all the time as their associated application is being exercised. We launched our first inference chips (“Inferentia”) in 2019, and they have saved companies like Amazon over a hundred million dollars in capital expense already. Our Inferentia2 chip, which just launched, offers up to four times higher throughput and ten times lower latency than our first Inferentia processor. With the enormous upcoming growth in machine learning, customers will be able to get a lot more done with AWS’s training and inference chips at a significantly lower cost. We’re not close to being done innovating here, and this long-term investment should prove fruitful for both customers and AWS. AWS is still in the early stages of its evolution, and has a chance for unusual growth in the next decade.

Similarly high potential, Amazon’s Advertising business is uniquely effective for brands, which is part of why it continues to grow at a brisk clip. Akin to physical retailers’ advertising businesses selling shelf space, end-caps, and placement in their circulars, our sponsored products and brands offerings have been an integral part of the Amazon shopping experience for more than a decade. However, unlike physical retailers, Amazon can tailor these sponsored products to be relevant to what customers are searching for given what we know about shopping behaviors and our very deep investment in machine learning algorithms. This leads to advertising that’s more useful for customers; and as a result, performs better for brands. This is part of why our Advertising revenue has continued to grow rapidly (23% YoY in Q4 2022, 25% YoY overall for 2022 on a $31B revenue base), even as most large advertising-focused businesses’ growth have slowed over the last several quarters.

We strive to be the best place for advertisers to build their brands. We have near and long-term opportunities that will help us achieve that mission. We’re continuing to make large investments in machine learning to keep honing our advertising selection algorithms. For the past couple of years, we’ve invested in building comprehensive, flexible, and durable planning and measurement solutions, giving marketers greater insight into advertising effectiveness. An example is Amazon Marketing Cloud (“AMC”). AMC is a “clean room” (i.e. secure digital environment) in which advertisers can run custom audience and campaign analytics across a range of first and third-party inputs, in a privacy-safe manner, to generate advertising and business insights to inform their broader marketing and sales strategies. The Advertising and AWS teams have collaborated to enable companies to store their data in AWS, operate securely in AMC with Amazon and other third-party data sources, perform analytics in AWS, and have the option to activate advertising on Amazon or third-party publishers through the Amazon Demand-Side Platform. Customers really like this concerted capability. We also see future opportunity to thoughtfully integrate advertising into our video, live sports, audio, and grocery products. We’ll continue to work hard to help brands uniquely engage with the right audience, and grow this part of our business.

While it’s tempting in turbulent times only to focus on your existing large businesses, to build a sustainable, long-lasting, growing company that helps customers across a large number of dimensions, you can’t stop inventing and working on long-term customer experiences that can meaningfully impact customers and your company.

When we look at new investment opportunities, we ask ourselves a few questions:

  • If we were successful, could it be big and have a reasonable return on invested capital?
  • Is the opportunity being well-served today?
  • Do we have a differentiated approach?
  • And, do we have competence in that area? And if not, can we acquire it quickly?

If we like the answers to those questions, then we’ll invest. This process has led to some expansions that seem straightforward, and others that some folks might not have initially guessed.

The earliest example is when we chose to expand from just selling Books, to adding categories like Music, Video, Electronics, and Toys. Back then (1998-1999), it wasn’t universally applauded, but in retrospect, it seems fairly obvious.

The same could be said for our international Stores expansion. In 2022, our international consumer segment drove $118B of revenue. In our larger, established international consumer businesses, we’re big enough to be impacted by the slowing macroeconomic conditions; however, the growth in 2019-2021 on a large base was remarkable—30% compound annual growth rate (“CAGR”) in the UK, 26% in Germany, and 21% in Japan (excluding the impact of FX). Over the past several years, we’ve invested in new international geographies, including India, Brazil, Mexico, Australia, various European countries, the Middle East, and parts of Africa. These new countries take a certain amount of fixed investment to get started and to scale, but we like the trajectory they’re on, and their growth patterns resemble what we’ve seen in North America and our established international geographies. Emerging countries sometimes lack some of the infrastructure and services that our business relies on (e.g. payment methods, transportation services, and internet/telecom infrastructure). To solve these challenges, we continue to work with various partners to deliver solutions for customers. Ultimately, we believe that this investment in serving a broader geographical footprint will allow us to help more customers across the world, as well as build a larger free cash flow-generating consumer business.

Beyond geographic expansion, we’ve been working to expand our customer offerings across some large, unique product retail market segments. Grocery is an $800B market segment in the US alone, with the average household shopping three to four times per week. Amazon has built a somewhat unusual, but significant grocery business over nearly 20 years. Similar to how other mass merchants entered the grocery space in the 1980s, we began by adding products typically found in supermarket aisles that don’t require temperature control such as paper products, canned and boxed food, candy and snacks, pet care, health and personal care, and beauty. However, we offer more than three million items compared to a typical supermarket’s 30K for the same categories. To date, we’ve also focused on larger pack sizes, given the current cost to serve online delivery. While we’re pleased with the size and growth of our grocery business, we aspire to serve more of our customers’ grocery needs than we do today. To do so, we need a broader physical store footprint given that most of the grocery shopping still happens in physical venues. Whole Foods Market pioneered the natural and organic specialty grocery store concept 40 years ago. Today, it’s a large and growing business that continues to raise the bar for healthy and sustainable food. Over the past year, we’ve continued to invest in the business while also making changes to drive better profitability. Whole Foods is on an encouraging path, but to have a larger impact on physical grocery, we must find a mass grocery format that we believe is worth expanding broadly. Amazon Fresh is the brand we’ve been experimenting with for a few years, and we’re working hard to identify and build the right mass grocery format for Amazon scale. Grocery is a big growth opportunity for Amazon.

Amazon Business is another example of an investment where our ecommerce and logistics capabilities position us well to pursue this large market segment. Amazon Business allows businesses, municipalities, and organizations to procure products like office supplies and other bulk items easily and at great savings. While some areas of the economy have struggled over the past few years, Amazon Business has thrived. Why? Because the team has translated what it means to deliver selection, value, and convenience into a business procurement setting, constantly listening to and learning from customers, and innovating on their behalf. Some people have never heard of Amazon Business, but, our business customers love it. Amazon Business launched in 2015 and today drives roughly $35B in annualized gross sales. More than six million active customers, including 96 of the global Fortune 100 companies, are enjoying Amazon Business’ one-stop shopping, real-time analytics, and broad selection on hundreds of millions of business supplies. We believe that we’ve only scratched the surface of what’s possible to date, and plan to keep building the features our business customers tell us they need and want.

While many brands and merchants successfully sell their products on Amazon’s marketplace, there are also a large number of brands and sellers who have launched their own direct-to-consumer websites. One of the challenges for these merchants is driving conversion from views to purchases. We invented Buy with Prime to help with this challenge. Buy with Prime allows third-party brands and sellers to offer their products on their own websites to our large Amazon Prime membership, and offer those customers fast, free Prime shipping and seamless checkout with their Amazon account. Buy with Prime provides merchants several additional benefits, including Amazon handling the product storage, picking, packing, delivery, payment, and any returns, all through Amazon Pay and Fulfillment by Amazon. Buy with Prime has recently been made available to all US merchants; and so far, Buy with Prime has increased shopper conversion on third-party shopping sites by 25% on average. Merchants are excited about converting more sales and fulfilling these shipments more easily, Prime members love that they can use their Prime benefits on more destinations, and Buy with Prime allows us to improve the shopping experience across more of the web.

Expanding internationally, pursuing large retail market segments that are still nascent for Amazon, and using our unique assets to help merchants sell more effectively on their own websites are somewhat natural extensions for us. There are also a few investments we’re making that are further from our core businesses, but where we see unique opportunity. In 2003, AWS would have been a classic example. In 2023, Amazon Healthcare and Kuiper are potential analogues.

Our initial efforts in Healthcare began with pharmacy, which felt less like a major departure from ecommerce. For years, Amazon customers had asked us when we’d offer them an online pharmacy as their frustrations mounted with current providers. Launched in 2020, Amazon Pharmacy is a full-service, online pharmacy that offers transparent pricing, easy refills, and savings for Prime members. The business is growing quickly, and continues to innovate. An example is Amazon Pharmacy’s recent launch of RxPass, which for a $5 per month flat fee, enables Prime members to get as many of the eligible prescription medications as they need for dozens of common conditions, like high blood pressure, acid reflux, and anxiety. However, our customers have continued to express a strong desire for Amazon to provide a better alternative to the inefficient and unsatisfying broader healthcare experience. We decided to start with primary care as it’s a prevalent first stop in the patient journey. We evaluated and studied the existing landscape extensively, including some early Amazon experiments like Amazon Care. During this process, we identified One Medical’s patient-focused experience as an excellent foundation upon which to build our future business; and in July 2022, we announced our acquisition of One Medical. There are several elements that customers love about One Medical. It has a fantastic digital app that makes it easy for patients to discuss issues with a medical practitioner via chat or video conference. If a physical visit is required, One Medical has offices in cities across the US where patients can book same or next day appointments. One Medical has relationships with specialty physicians in each of its cities and works closely with local hospital systems to make seeing specialists easy, so One Medical members can quickly access these resources when needed. Going forward, we strongly believe that One Medical and Amazon will continue to innovate together to change what primary care will look like for customers.

Kuiper is another example of Amazon innovating for customers over the long term in an area where there’s high customer need. Our vision for Kuiper is to create a low-Earth orbit satellite system to deliver high-quality broadband internet service to places around the world that don’t currently have it. There are hundreds of millions of households and businesses who don’t have reliable access to the internet. Imagine what they’ll be able to do with reliable connectivity, from people taking online education courses, using financial services, starting their own businesses, doing their shopping, enjoying entertainment, to businesses and governments improving their coverage, efficiency, and operations. Kuiper will deliver not only accessibility, but affordability. Our teams have developed low-cost antennas (i.e. customer terminals) that will lower the barriers to access. We recently unveiled the new terminals that will communicate with the satellites passing overhead, and we expect to be able to produce our standard residential version for less than $400 each. They’re small: 11 inches square, 1 inch thick, and weigh less than 5 pounds without their mounting bracket, but they deliver speeds up to 400 megabits per second. And they’re powered by Amazon-designed baseband chips. We’re preparing to launch two prototype satellites to test the entire end-to-end communications network this year, and plan to be in beta with commercial customers in 2024. The customer reaction to what we’ve shared thus far about Kuiper has been very positive, and we believe Kuiper represents a very large potential opportunity for Amazon. It also shares several similarities to AWS in that it’s capital intensive at the start, but has a large prospective consumer, enterprise, and government customer base, significant revenue and operating profit potential, and relatively few companies with the technical and inventive aptitude, as well as the investment hypothesis to go after it.

One final investment area that I’ll mention, that’s core to setting Amazon up to invent in every area of our business for many decades to come, and where we’re investing heavily is Large Language Models (“LLMs”) and Generative AI. Machine learning has been a technology with high promise for several decades, but it’s only been the last five to ten years that it’s started to be used more pervasively by companies. This shift was driven by several factors, including access to higher volumes of compute capacity at lower prices than was ever available. Amazon has been using machine learning extensively for 25 years, employing it in everything from personalized ecommerce recommendations, to fulfillment center pick paths, to drones for Prime Air, to Alexa, to the many machine learning services AWS offers (where AWS has the broadest machine learning functionality and customer base of any cloud provider). More recently, a newer form of machine learning, called Generative AI, has burst onto the scene and promises to significantly accelerate machine learning adoption. Generative AI is based on very Large Language Models (trained on up to hundreds of billions of parameters, and growing), across expansive datasets, and has radically general and broad recall and learning capabilities. We have been working on our own LLMs for a while now, believe it will transform and improve virtually every customer experience, and will continue to invest substantially in these models across all of our consumer, seller, brand, and creator experiences. Additionally, as we’ve done for years in AWS, we’re democratizing this technology so companies of all sizes can leverage Generative AI. AWS is offering the most price-performant machine learning chips in Trainium and Inferentia so small and large companies can afford to train and run their LLMs in production. We enable companies to choose from various LLMs and build applications with all of the AWS security, privacy and other features that customers are accustomed to using. And, we’re delivering applications like AWS’s CodeWhisperer, which revolutionizes developer productivity by generating code suggestions in real time. I could write an entire letter on LLMs and Generative AI as I think they will be that transformative, but I’ll leave that for a future letter. Let’s just say that LLMs and Generative AI are going to be a big deal for customers, our shareholders, and Amazon.

 
  
So, in closing, I’m optimistic that we’ll emerge from this challenging macroeconomic time in a stronger position than when we entered it. There are several reasons for it and I’ve mentioned many of them above. But, there are two relatively simple statistics that underline our immense future opportunity. While we have a consumer business that’s $434B in 2022, the vast majority of total market segment share in global retail still resides in physical stores (roughly 80%). And, it’s a similar story for Global IT spending, where we have AWS revenue of $80B in 2022, with about 90% of Global IT spending still on-premises and yet to migrate to the cloud. As these equations steadily flip—as we’re already seeing happen—we believe our leading customer experiences, relentless invention, customer focus, and hard work will result in significant growth in the coming years. And, of course, this doesn’t include the other businesses and experiences we’re pursuing at Amazon, all of which are still in their early days.

I strongly believe that our best days are in front of us, and I look forward to working with my teammates at Amazon to make it so.

Sincerely,

Andy Jassy
President and Chief Executive Officer
Amazon.com, Inc.

P.S. As we have always done, our original 1997 Shareholder Letter follows. What’s written there is as true today as it was in 1997.

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Elon Musk has a problem with X’s Community Notes when he disapproves of the results

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Elon Musk has a problem with X's Community Notes when he disapproves of the results

Elon Musk, CEO of Tesla and SpaceX and owner of social media platform X, speaks at the Conservative Political Action Conference at the Gaylord National Resort Hotel and Convention Center in Oxon Hill, Maryland, Feb. 20, 2025.

Andrew Harnik | Getty Images

For X owner Elon Musk, the solution to monitoring misinformation online has been the community, rather than a group of fact checkers. Since buying the social media company formerly known as Twitter in 2022, he’s touted the Community Notes feature as the best way to correct false posts.

That is, until he didn’t like the results.

Musk wrote in a post Thursday that he intends to “fix” Community Notes because it “is increasingly being gamed by governments & legacy media.” He provided no evidence to support his claim.

What apparently set Musk off was information members added in Community Notes correcting posts on X that claimed Volodymyr Zelenskyy, the country’s elected president, had low approval ratings among its citizens.

The Kyiv International Institute of Sociology, or KIIS, published survey results this week, based on February polling, that found that 57% of Ukrainians said they trusted Zelenskyy while 37% said they did not. The polling contradicted President Donald Trump’s claim that Zelenskyy is deeply unpopular in his country.

Tensions between the Trump administration, which includes Musk as a central figure, and the Ukrainian government have escalated over the past week, NBC News reported, before bubbling into public view.

Echoing Kremlin sentiments, Trump has accused Ukraine of starting a war with Russia that actually began when Russian President Vladimir Putin ordered his troops to invade the neighboring country in February 2022.

Senior White House officials met their Russian counterparts in Saudi Arabia on Feb. 18, with the aim of laying the groundwork for peace talks on Ukraine, while excluding Kyiv’s officials and EU representatives from participating in discussions.

Trump has called on Ukraine to hold new elections.

Zelenskyy said he would reject any plan that did not include Ukraine’s involvement. Under its constitution, Ukraine can’t hold elections while it’s at war and under martial law.

In his post Thursday, Musk wrote, “It should be utterly obvious that a Zelensky-controlled poll about his OWN approval is not credible!!” However, there are other available sources.

A consortium that’s been conducting extensive polling in Ukraine since 2014 found “63% of Ukrainians now approve of Zelensky’s performance as president, a notable increase from the previous year,” Joe Stafford, the news and media relations lead at the University of Manchester, wrote in a post Wednesday.

High favorability ratings for Zelenskyy undermine the narrative that Trump and Musk want to tell.

“If Zelensky was actually loved by the people of Ukraine, he would hold an election,” Musk wrote, again without evidence. “He knows he would lose in a landslide, despite having seized control of ALL Ukrainian media, so he canceled the election. In reality, he is despised by the people of Ukraine.”

Elon Musk to withdraw OpenAI bid if board removes 'for sale' sign for its assets

First introduced by Twitter in 2021 as Birdwatch, and rebranded as Community Notes after Musk’s acquisition the following year, the feature was meant to help the social network combat misinformation and disinformation by enlisting users to flag misleading posts and provide correct information instead.

Community Notes has worked in a manner similar to Wikipedia. Facebook owner Meta, which has been aggressively seeking Trump’s favor in the early days of his second term in the White House, recently announced its own version of Community Notes. Alphabet’s YouTube has been testing a comparable tool since summer 2024.

Neil Johnson, a George Washington University physics professor who studies how misinformation and hate speech spread online, said the Community Notes model is problematic, but not because it can be gamed by large institutions. Rather, crowdsourcing is an inherently “imperfect system” for landing on the truth and is a poor substitute for “formal fact checking,” he said.

“Like any crowd, crowds can be fickle, and crowds can be driven by other interests,” Johnson said. “It’s not a paid person with the job of fact checking.”

Musk is not immune

Additionally, while Musk has pitched Community Notes as a way to replace fact checkers, a recent study by the Spanish fact-checking nonprofit Maldita showed that many X users still rely on information from professionals. The authors of the study, published earlier in February, looked at more than 1 million notes from Community Notes’ public dataset.

“The evidence from X clearly shows that users rely on the work of fact-checking organizations often” when proposing Community Notes, they wrote.

Neither Musk nor a representative from X responded to CNBC’s requests for comment.

Musk’s latest comments on Community Notes mark a sharp contrast to how he’s discussed the service in the past, and underscore the lengths to which he’s willing to go in pursuit of Trump’s agenda.

When talking about Community Notes in earlier posts, Musk has said that it can’t be manipulated by him or anyone else.

“The system is completely decentralized and open source, both code and data. Any manipulation would show up like a neon sore thumb!” Musk wrote in a post Dec. 30. “No one at X, including me, has any editorial control.”

Musk has also acknowledged in past posts that he is not immune from being corrected in Community Notes.

And Community Notes isn’t the only technology in Musk’s portfolio that could present problems by responding in ways he may not like. There’s also Grok, the artificial intelligence chatbot that is owned by Musk’s startup xAI and is used on X.

Fortune published a story in January about the many negative responses Grok provides when users ask if Musk is a good person. Grok’s reasons for saying he isn’t a good person include environmental hazards from SpaceX, Musk’s “erratic” management style and his political views, Fortune reported, citing Grok responses. Futurism published a similarly themed piece in December, with the headline “Elon Musk’s Grok AI blasts Elon Musk as huge spreader of misinformation.”

Musk calls Grok a “maximally truth-seeking” AI that is also “anti-woke.” Earlier this week, xAI introduced its latest AI model, Grok 3, claiming it can outperform offerings from OpenAI and China’s DeepSeek based on early testing, which included standardized tests on math, science and coding. 

Musk did admit during the demo that the model isn’t perfect.

“We should emphasize that this is kind of a beta, meaning that you should expect some imperfections,” Musk said. “But we will improve it rapidly, almost every day.”

WATCH: Elon Musk’s xAI unveils new Grok model

Elon Musk's xAI unveils new Grok model

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Apple’s Vision Pro has a problem a year into its existence: Not enough apps

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Apple’s Vision Pro has a problem a year into its existence: Not enough apps

Apple CEO Tim Cook (L) takes a selfie with a greets customers on arrival for the release of the Vision Pro headset at the Apple Store in New York City on February 2, 2024. 

Angela Weiss | AFP | Getty Images

When Apple revealed the Vision Pro in 2023, it called the $3,500 headset its next “major platform.” Two years later, and a year after going on sale, the device is thin on apps. 

Apple doesn’t regularly release stats on the number of Vision Pro apps that are available, and it’s hard to tell how many new apps come out in any given month. According to consultancy AppFigures, which tracks Apple’s platforms, the number of new Vision Pro apps has declined every month since the device hit the market in February 2024.

When Apple unveiled the Vision Pro, executives said that developers would be able to create new experiences that weren’t possible with traditional computers. But so far, top developers remain mostly focused elsewhere, and major tech companies like Google, Meta and Netflix have yet to release their most important apps for the headset.

Many of the new apps and ideas for the Vision Pro are coming from independent developers, hacking on the weekends while holding down day jobs. 

One person in the indie camp is Adam Roszyk, a programmer in Poland who has created 17 Vision Pro apps since the headset was first released.

For $4, Roszyk’s Night Vision app lets a Vision Pro user tap the depth-sensing cameras of the device to see objects in the dark. If you spend $5, you can perform a chore in a Luigi’s Mansion-like video game using the app Vacuume, which overlays virtual coins on your floor that you can vacuum up, along with any real dirt or dust. And for $6, Roszyk’s app Scan Export lets users create a 3D digital scan of an entire building just by walking around, a useful tool for those in construction or real estate. 

“We are still early, and we don’t really know how it can be really useful in your life,” Roszyk said. “There’s so many different ideas that just come to your mind.”

Roszyk continues to work on Vision Pro apps because he said he believes “spatial computing” — Apple’s preferred terminology for headset and glasses technology that can integrate 3D objects with the world around them — will be the next big platform. Roszyk is betting that developing apps now can put him in prime position when more people are walking around with a Vision Pro or, perhaps some day, lightweight glasses. 

“This type of computing is the future,” Roszyk said. “I would definitely compare it to the first iPhones.”

Roszyk’s efforts have made him money, but not enough for Vision Pro development to become his full-time job. His 17 apps have cleared about $4,000 on the App Store in the last three months. That number is growing as he releases more apps and more people find out about them, Roszyk said. 

Apple updated its most recent Vision Pro app count in August, with CEO Tim Cook telling investors on an earnings call that the platform had 2,500 apps. That number covers fully immersive apps that overlay virtual objects over the real world as well as 2D apps with some spatial components.

By AppFigures’ count, less than 1,900 of these apps remained active at the end of January.

Apple declined to comment.

Apple Vision Pro launches in more markets outside the U.S.

Rival Meta in 2023 said that it had 500 apps in its Quest store, and the company last year said that number had multiplied by 10.

The Quest 3S, which has many of the same features as the Vision Pro, starts at $300. Meta also sold millions of its predecessors in recent years. While Meta hasn’t revealed how many users it has, its Meta Quest app was downloaded about 6 million times in 2024, according to AppFigures data, a useful proxy because users need to download the app in order to set up the headset.

There are also about 1.5 million Vision Pro apps that are ported versions of iPhone and iPad apps. Apple automatically ports iPhone and iPad apps to the Vision Pro when they’re uploaded, but companies can decline. Those apps can be used inside the headset but appear as 2D flat screens. Meta started to emulate that strategy last year with 2D Android apps for Quest, but the company doesn’t have the same library of millions of existing mobile apps.

Apple doesn’t publish Vision Pro sales, but one estimate from IDC suggests fewer than 1 million devices have been sold.

Some services like Netflix and YouTube, and game streaming services like Nvidia GeForce Now can be accessed through the Apple Vision Pro’s browser. And existing apps often receive updates that introduce a spatial mode, such as the NBA scores app, which recently got an experimental feature that allows users to watch a live basketball game as if the players were miniature figurines on a table.

Apple Arcade, a monthly game subscription from Apple, does require that its titles support the Vision Pro in addition to iPhones and iPads. Apple Arcade developers are paid by Apple and their apps are free to subscribers.

Although many of those games are 2D, some are exclusive to the Vision Pro. In January, Apple released Gears & Goo, a Vision Pro app that enables the player to control an army of goofy frog-like characters on a table in the real world.

Meanwhile, Meta is actively courting VR developers with a promise that they can make money. Meta in January said that its payment volume for Quest headsets rose by 12% last year, although it didn’t cite a total number. Meta has also said it has 200 apps that have made more than $1 million through software sales.

No iPhone-like app gold rush

The Apple Vision Pro headset is displayed at the Fifth Avenue Apple store on Feb. 2, 2024 in New York City.

Michael M. Santiago | Getty Images News | Getty Images

The Vision Pro app gold rush has seen slower uptake than the iPhone’s app boom. 

A year after the iPhone App Store was launched in 2008, Apple was crowing about the platform having 50 million customers, 2 billion downloads and 85,000 apps. Apple regularly told investors and developers how much money it had paid from App Store sales — it hasn’t released any similar stat for the Vision Pro.

Many in the VR industry hoped Apple’s entry would kick off a boom like the iPhone did for mobile apps, creating fortunes as millions of users sought to fill their new devices with fresh software.

“My assumption back then was whatever Apple releases might be in that final form, so it’s a good idea to be ready as early as possible,” said Nikhil Jacob, who runs Vision Uni, which publishes content about developing apps for the Vision Pro. “But my assumption there ended up being wrong.”

Jacob said he believes that an app developer ecosystem for the Vision Pro will take a lot longer to build out than it did for the iPhone because key pieces are missing. Jacob hopes Apple improves the Vision Pro app store to help users find new apps.

The slow uptake, due largely to the high price tag, has led some to worry that VR and its related technologies are once again entering a lull.

“Winter has come,” said Jarrett Webb, who develops headset apps for Argodesign, a software consultancy. “Even Apple couldn’t produce a winner.”

Still, some optimism remains among Vision Pro developers. 

They say that Apple’s hardware is solid, the company’s developer tools are improving, and that the Vision Pro lays the groundwork for future software and hardware updates. It also helps that Vision Pro owners still seem to be excited to try out new apps.

Apple’s entry into the headset market, combined with Google’s recent announcement of its own Android XR platform, as well as Meta’s billions of dollars of investment signals that there will be a market for VR content, said John Gearty, who worked on the Vision Pro at Apple and is the founder of PulseJet Studios, a VR production house focusing on music. Gearty is hoping for steady growth from the market, but he has tempered his expectations. 

“I don’t think it’s ever going to be hockey stick growth,” he said.

Apple has not said if it will update the Vision Pro. According to analysts, the company is working on a successor. Developers want it to be lighter and less expensive. They welcome any improvements that would get it on more faces.

“Over time, everything gets better, and it too will have its course of getting better and better,” Cook told The Wall Street Journal in October. “I think it’s just arguably a success today from an ecosystem-being-built-out point of view.”

— CNBC’s Jonathan Vanian contributed to this report.

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How DeepSeek used distillation to train its artificial intelligence model, and what it means for companies such as OpenAI

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How DeepSeek used distillation to train its artificial intelligence model, and what it means for companies such as OpenAI

Chinese artificial intelligence lab DeepSeek roiled markets in January, setting off a massive tech and semiconductor selloff after unveiling AI models that it said were cheaper and more efficient than American ones. 

But the underlying fears and breakthroughs that sparked the selling go much deeper than one AI startup. Silicon Valley is now reckoning with a technique in AI development called distillation, one that could upend the AI leaderboard. 

Distillation is a process of extracting knowledge from a larger AI model to create a smaller one. It can allow a small team with virtually no resources to make an advanced model.

A leading tech company invests years and millions of dollars developing a top-tier model from scratch. Then a smaller team such as DeepSeek swoops in and trains its own, more specialized model by asking the larger “teacher” model questions. The process creates a new model that’s nearly as capable as the big company’s model but trains more quickly and efficiently. 

“This distillation technique is just so extremely powerful and so extremely cheap, and it’s just available to anyone,” said Databricks CEO Ali Ghodsi, adding that he expects to see innovation when it comes to how large language models, or LLMs, are built. “We’re going to see so much competition for LLMs. That’s what’s going to happen in this new era we’re entering.” 

Distillation is now enabling less-capitalized startups and research labs to compete at the cutting edge faster than ever before.

Using this technique, researchers at Berkeley said, they recreated OpenAI’s reasoning model for $450 in 19 hours last month. Soon after, researchers at Stanford and the University of Washington created their own reasoning model in just 26 minutes, using less than $50 in compute credits, they said. The startup Hugging Face recreated OpenAI’s newest and flashiest feature, Deep Research, as a 24-hour coding challenge. 

DeepSeek didn’t invent distillation, but it woke up the AI world to its disruptive potential. It also ushered in the rise of a new open-source order — a belief that transparency and accessibility drive innovation faster than closed-door research.

“Open source always wins in the tech industry,” said Arvind Jain, CEO of Glean, which makes an AI-powered search engine for enterprises. “You cannot beat the momentum that a successful open-source project is able to actually generate.” 

OpenAI itself has walked back its closed-source strategy in the wake of DeepSeek’s accomplishment.

“Personally I think we have been on the wrong side of history here and need to figure out a different open-source strategy,” OpenAI CEO Sam Altman wrote in a post on Reddit on Jan. 31. 

The combination of distillation’s newfound traction and open source’s rise in popularity is completely altering the competitive dynamics in AI. 

Watch the video to learn more.

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