Amazon’s AI Investments Are Creating a Whole New Business Model
AWS revenue surged 37% to $42.2 billion, marking its fastest growth in 18 quarters, as Amazon's AI infrastructure transitions from expense to revenue-generating asset.
57% of Alexa AI users bought products they never knew existed, signaling that agentic AI creates new purchase demand rather than just capturing existing intent.
Amazon plans to spend $220 billion on AI capex in 2026, pushing free cash flow to negative $7.6 billion while betting on monetization by 2028.
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The artificial intelligence spending spree has reached a point where investors are right to demand more than promises. Amazon ( NASDAQ:AMZN ), Microsoft ( NASDAQ:MSFT ), Alphabet ( NASDAQ:GOOG ), and Meta Platforms ( NASDAQ:META ) are committing hundreds of billions of dollars to chips, data centers, networking equipment, and power, creating a massive question around return on investment. The concern is straightforward: Can all that infrastructure eventually generate enough revenue and profit to justify the capital being deployed today?
Amazon is beginning to provide an unusually compelling answer. Its AI spending isn't merely supporting an existing business. It may be creating entirely new sources of demand.
Amazon spent $131 billion on capital expenditures in 2025, up from $83 billion in 2024, and initially expected roughly $200 billion of capital expenditures in 2026. Then it raised that figure to approximately $220 billion following its second-quarter results. It could spend as much as $628 billion by 2028.
That spending is already showing up in the cash-flow statement. Amazon generated $161.4 billion in operating cash flow over the 12 months ended June 30, but free cash flow was negative $7.6 billion after capital expenditures.
Granted, that is a legitimate concern. Investors don't get to spend $220 billion without eventually demanding a return. But Amazon is also generating the revenue growth needed to make the investment case.
Amazon isn't just building infrastructure; it's rewiring consumer behavior to spark demand out of thin air. © 24/7 Wall St.
Second-quarter AWS revenue jumped 37% year-over-year to $42.2 billion, its fastest growth in 18 quarters, while AWS operating income increased to $16.6 billion from $10.2 billion. Amazon also said its AI and chips businesses each surpassed a $25 billion annual revenue run rate. That's important because Amazon isn't simply building data centers and hoping customers arrive later.
CEO Andy Jassy has said much of the company's 2026 AWS capital spending is already backed by customer commitments, with much of that capacity expected to be monetized in 2027 and 2028.
The infrastructure is therefore becoming a revenue-producing asset rather than just an expense line. And now something even more interesting is happening inside Amazon's retail operation.
Evercore ISI just raised its Amazon price target to $355 from $315.16 after its 14th Annual U.S. Online Retail Survey produced what it called the first survey evidence that agentic AI is additive to Amazon's retail business.
The key figure is remarkable: 57% of Alexa AI users said they purchased a product they previously didn't know about.
That's different from AI simply making Amazon's existing search engine better. Traditional e-commerce largely captures existing purchase intent. A shopper wants something, searches for it, compares options, and buys. Agentic AI can intervene earlier in that process by understanding what a customer needs and introducing products the customer wasn't actively looking for. That creates new purchase intent.
If 57% of Alexa AI users are discovering products they didn't previously know existed and then purchasing them, Amazon isn't merely converting demand more efficiently. It is potentially creating incremental demand.
That's not just another feature -- it's a new business model.
In short, investors shouldn't ignore Amazon's negative free cash flow. Spending $220 billion in a single year creates real execution and return-on-capital risks.
But the evidence is moving in the right direction. AWS is growing 37%, its AI business has surpassed a $25 billion annual run rate, and agentic AI is beginning to influence what customers buy.
Ultimately, the biggest payoff from Amazon's AI investment may not come from selling computing power. Instead, it may come from using that computing power to make customers buy things they never intended to purchase.
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