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GM. This is Milk Road AI, the only newsletter that tells you whoβs actually making money in AI. |
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AMAZON OWNS THE AI ECONOMY |
In 1494, the Medici family of Florence was the most powerful institution in Europe. |
They werenβt the best soldiers, politicians, or artists, but they were the bankers. |
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While Da Vinci painted, Michelangelo sculpted, and Botticelli churned out Venuses like a Renaissance content farm, the Medicis were doing something far more boring and far more lucrative: they were financing all of it. |
They didnβt care who got the glory, they just needed everyone creating, because every brushstroke ran through their books. |
In 2026, there is a new Renaissance, and it's called AI. |
OpenAI is Da Vinci, Anthropic is Michelangelo, and Amazon? Amazon is the Medici family. |
They finance almost all of it, owning the vaults, controlling the ledger, and taking a cut of every transaction. |
Last week, Amazon CEO Andy Jassy dropped the annual shareholder letter. |
We read the whole thing, and once you see whatβs actually in it, youβre going to look at Amazon very differently. |
First, letβs set the scene |
Amazon's 2025 revenue just hit $717B. |
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By the time you finish reading this newsletter, Amazon will have generated roughly $13.6M, but the total isn't the interesting part, rather the mix. |
For the first time in its history, Amazon's service businesses, AWS, advertising, Prime subscriptions, now generate more revenue than its product businesses. |
Services crossed $403B, while physical goods brought in less. |
Amazon started as a bookstore, became a general store, then turned its own internal tools into massive businesses, from AWS to logistics to a $68.6B ad empire. |
The pattern is simple: build it internally, perfect it, then sell it to everyone else. |
What's the next internal capability about to become a business? I'll let you read to the end to find out. |
Here is the single most important data point in Jassy's letter, and it is not getting nearly enough attention. |
AWS's AI revenue just hit a $15B annual run rate. |
That is the first time Amazon has publicly disclosed this number, and Jassy immediately did something smart, he put it in historical context. |
Three years after AWS launched commercially as a product, its total revenue run rate was $58M, but three years into the AI wave? $15B. |
Jassy called it "the fastest commercial adoption of any technology Amazon has ever seen." |
And remember, AWS itself was already the fastest-growing enterprise business in history when it launched, so we're comparing against a very high bar and somehow clearing it. |
And this $15B isn't some accounting trick or creative bundling. |
It includes real products that real companies are paying real money for: |
Trainium-powered compute for training and running AI models. Amazon Bedrock, giving enterprises access to models like Claude and Nova without managing infrastructure. SageMaker for building and training models. Kiro, a new agentic coding tool that rebuilt Bedrockβs inference engine in 76 days with just six engineers.
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That last one should tell you everything, this thing is moving way faster than people realize. |
The $200B "problem" |
Here's where every financial headline got this story wrong. |
Amazonβs free cash flow dropped from $38B to $11B in 2025, a 71% decline in one year. |
And in 2026, Amazon plans to spend approximately $200B in capital expenditures, the largest single-year capex commitment by any company in the history of capitalism. |
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Investors panicked, the stock got choppy, but Jassy spent a significant portion of the letter explaining, very patiently, why the people panicking are thinking about this wrong. |
His argument, translated from CEO into English, goes like this: |
Data centers take 6 to 24 months to build before you can charge a single customer. |
Chips and servers have 5β6 year lifespans. Buildings last 30+ years, so the cash goes out the door long before the revenue comes in. |
In high-growth periods, the gap between building capacity and billing for it creates a temporary free cash flow crater that looks bad on a chart but says little about the underlying business. |
Then he dropped the argument that should have ended the conversation: "We're not investing approximately $200B in capex in 2026 on a hunch." |
The OpenAI contract alone is worth over $100B. |
Multiple large contracts already exist, meaning the capacity is effectively spoken for before itβs even built. |
Think of it this way. |
You're a landlord, and a Fortune 500 company signs a 10-year lease on an office building you haven't built yet. |
To build it, you take out a big loan, and your cash flow looks awful for 18 months during construction. |
Then the tenant moves in, the rent checks arrive, and suddenly your terrible cash flow decision looks like a very good decade. |
That's the entire situation. The bears saw the construction loan, while Jassy is showing you the signed lease stack. |
He also made a historical comparison that investors should take seriously: AWS went through this exact same investment cycle during its first big growth wave. |
The free cash flow pain was real, the operating leverage that followed was enormous. |
He is explicitly telling you: same movie, different decade, stakes are 260 times higher. |
Amazon bought the factory |
Now for the story that could genuinely change how you think about Amazon as a company. |
Most investors think of Amazon as a cloud company that builds chips for internal use. |
Jassy is signaling something far more interesting: those chips are on their way to becoming one of Amazon's biggest standalone businesses. |
Amazon has three custom chips. Here's the quick version: |
Graviton β Amazonβs in-house CPU, ~40% better price-performance, now used by 98% of AWSβs top customers. Trainium β Their NVIDIA alternative, ~30% cheaper, with next-gen chips nearly sold out before launch. Nitro β The invisible backbone, powering thousands of instances on a single server behind the scenes.
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Together, these three chips are generating over $20B in annualized revenue, growing at triple-digit percentages year-over-year. |
Now here's the sentence Jassy buried deep in the letter that should be in every headline but isn't: |
"There's so much demand for our chips that it's quite possible we'll sell racks of them to third parties in the future." |
At current production rates, if Amazon sold chips externally as a standalone business, Jassy estimates it would clock approximately $50B in annual revenue. |
For reference, that would be larger than AMD's recent run rate. At semiconductor company margins, 40 to 50% gross, that's $20 to $25B in gross profit from a business that doesn't even officially exist as a segment yet. |
When Amazon eventually breaks chips out as a separate reporting segment, and Wall Street will demand it once they see what's in there, analysts will apply semiconductor multiples to it. |
The resulting re-rating could be violent in the best possible way but the chip story is only half of it. |
Thatβs also why I added Amazon to my PRO portfolio about a month and a half ago and itβs already up +14.6%. |
Iβve been screaming to buy this in the Discord for weeks now and itβs my second-largest position at this point, and my top position is already up +36.3%. |
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If you want the next ones before they move, come join us, itβs literally less than your last Amazon order. |
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AMAZON OWNS THE AI ECONOMY (P2) |
Letβs talk about what AI is doing to Amazon's other businesses, because this part gets almost zero coverage. |
Start with Alexa. Amazon has 600M active Alexa endpoints. |
They rebuilt Alexa from scratch on generative AI, and the results are not subtle. |
Users are having twice the conversations, completing 3x more purchases, with streaming up 25% and smart home usage up 50%. |
When you rebuild a product with a genuine AI upgrade instead of just bolting a chatbot onto it, the engagement numbers look like you accidentally put rocket fuel in the gas tank. |
Now consider what this means for the advertising business. Amazon's ad revenue hit $68.6B in 2025, growing at 22%. |
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It is arguably the most defensible advertising business on Earth because, unlike Google (which knows what you search) or Meta (which knows what you click), Amazon knows what you actually buy. |
And purchase-intent data at that scale is worth more per impression than almost anything else in digital media. |
Jassy explicitly said AI-generated recommendations will be embedded directly into Alexa+ conversations. |
Then there's grocery, which grew to $150B in gross sales in 2025, making Amazon the second-largest grocer in the United States. |
Perishables same-day delivery saw 40x growth since early 2025, and Amazon Now, their 20-minute delivery product in India, is growing at 25% month-over-month. |
This is what Jassy means by a business multiplier. |
Itβs not just a chatbot you add to a website, itβs improving how every part of the business runs. |
Retail gets better routing and inventory, ads get sharper targeting, AWS brings in new spending, and Alexa starts driving real commerce. |
Each piece reinforces the others, and the whole system is moving faster than it ever has before. |
The constraint nobody is talking about |
Here's the thing though, Amazon could be growing even faster, and they know it. |
The conventional view is that chip supply is the bottleneck, and thatβs true. More GPUs still means more growth. |
But thereβs a deeper constraint emerging alongside it: electricity. |
AWS added 3.9 gigawatts of new power capacity in 2025. |
They plan to double total power capacity by the end of 2027, and the Tennessee Valley Authority projects that data center electricity demand will double by 2030. |
Nearly half of all data centers planned for 2026 in the United States are being delayed or outright canceled, not for lack of money, but for lack of grid capacity. |
Jassy is explicit about this in the letter: there is unserved demand right now. |
AWS could be signing more contracts today if it had more power. |
The 20% to 24% growth numbers you're seeing from AWS are the constrained numbers, underlying demand is higher. |
This has a counterintuitive implication: the companies that secured power purchase agreements and land early have a structural advantage that cannot be fast-followed. |
You either got in before the land rush, or you're waiting years while your competitors sign customers you can't serve. |
Amazon started its power procurement cycle long before the AI boom made it fashionable. |
Two of AWS's largest customers asked to buy all of its available Graviton chip capacity for 2026. |
Amazon had to say no because it had too many other customers to serve, and that is what genuine pricing power looks like in the wild. |
The number hiding in plain sight |
Here is the contrarian argument Jassy basically hands you in the letter, for free, and most people will still miss it. |
Eighty-five percent of global IT spend still runs on-premises, which means most companies still run their tech on their own servers instead of the cloud. |
AWS is at a $142B revenue run rate, massive by any normal measures, and it represents approximately 15% of total global IT spend. |
As more of that remaining 85% gradually moves to the cloud, driven by the economics, AWSβs market grows far beyond what it looks like today. |
This is the cloud migration tailwind entirely independent of AI. |
Before you add a single AI workload, just the base cloud migration is one of the longest and most durable secular growth stories in enterprise technology. |
Add AI on top of that? |
Jassy has internally projected that AWS alone could hit $600B in annual revenue by 2036. |
Amazon's entire company did $717B last year. |
He is saying one division could approach that in a decade, at operating margins three times higher than the rest of the business combined. |
AWS at $600B with 35% operating margins generates $210B in annual operating income from one division. |
Go ahead and sit with that for a minute. I'll be here. |
The verdict: the Medicis always win |
Here is the honest assessment. |
The bear case is real, $200B is a historic bet. |
If AI adoption plateaus, if enterprise customers slow their migrations, if the hype collapses, Amazon will have deployed enormous capital into assets generating long-term returns but needing near-term customers to make the math work. |
Free cash flow has already crumbled, and it is not irrational to be nervous. |
But the bull case is not hype, it has signed contracts, disclosed run rates, and a historical pattern that has now repeated itself multiple times inside the same company. |
The same people who called early AWS spending reckless are explaining why they've held for twenty years. |
Most CEOs are desperately managing to the next quarterly earnings call, and they are terrified of missing estimates by a penny. |
Their entire incentive structure is a 90-day horizon, but Jassy is building much further out. |
The Medici family financed the Italian Renaissance for over a century. |
They didn't pick winners, but rather owned the infrastructure that made winning possible. |
Every painting sold, every sculpture commissioned, every cathedral built, the Medicis got a cut. |
That is the business Andy Jassy is describing. |
Heβs not just in models, chatbots, or even cloud in the way most people think, heβs in the empire business. |
Alright, thatβs it for this edition of Milk Road AI. We want to hear from you. |
Is Amazon building the most powerful position in AI? |
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BITE-SIZED COOKIES FOR THE ROAD πͺ |
Apple is testing four designs for smart glasses planned for a 2027 launch. The glasses will focus on cameras, audio, and Siri, not full AR displays. |
U.S. officials are urging banks to test Anthropicβs Mythos model for security risks. The push comes even as Anthropic battles the government over AI use limits. |
OpenAI launched a $100/month Pro plan with higher coding limits. It sits between Plus and the $200 tier, targeting heavy Codex users. |
What if a bank app and crypto wallet had a baby? Youβd get Brighty which is a money app that lets you use crypto and regular fiat money together without transferring funds. |
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MILKY MEMES π€£ |
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ROADIE REVIEW OF THE DAY π₯ |
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