Amazon Web Services grew 28% year-over-year to $37.6B in net sales last quarter, its fastest growth rate in 15 quarters, while Amazon's trailing twelve-month free cash flow collapsed 95% to $1.2B from $25.9B a year earlier. CEO Andy Jassy framed both numbers as two sides of the same AI trade on Wednesday's earnings call: AWS is selling every GPU it can stand up, and Amazon is spending whatever it takes to stand up more.
The capex bill is the headline strain. Purchases of property and equipment rose $59.3B year-over-year, most of it tied to AI infrastructure — land, power, buildings, chips, servers, and networking gear. Overall Amazon sales rose 17% to $181.5B, with North America up 12% and the rest of the world up 19%.
Jassy leaned hard on a historical comparison to argue the spend is justified. "To put our growth in perspective, three years after AWS launched, it had a $58 million revenue run rate," he said. "[During] the first three years of this AI wave, AWS's AI revenue run rate is over $15 billion — nearly 260 times larger." That puts AWS's AI business alone, three years in, at a scale the entire original AWS took roughly a decade to reach.
Key facts
- 01AWS net sales rose 28% year-over-year to $37.6B in Q1 2026, the fastest growth in 15 quarters.
- 02Amazon's trailing twelve-month free cash flow fell to $1.2B, a 95% drop from $25.9B in Q1 2025.
- 03Property and equipment purchases climbed $59.3B year-over-year, driven largely by AI infrastructure.
- 04AWS's AI revenue run rate has cleared $15B, roughly 260x the $58M run rate AWS had three years post-launch.
- 05Overall Amazon sales grew 17% to $181.5B, with 12% growth in North America and 19% internationally.
The growth rate itself is what surprised Jassy. "It's very unusual for business to grow this fast on a base this large. The last time we saw growth at this clip, AWS was roughly half the size," he said. "We've never seen a technology grow as rapidly as AI. Amazon is already a leader, and companies continue to choose AWS for AI."
“Three years into the AI wave, AWS's AI run rate sits above $15B — roughly 260 times the $58M run rate AWS itself had three years after launch.”— Jaeden Schafer
He was blunt about what that means for cash. "The faster AWS grows, the more short-term capex we'll spend," Jassy said. "AWS has to lay out cash for land, power, buildings, chips, servers, and networking gear, in advance of when we can monetize it." In other words, the revenue is real, but the matching expense lands first.
Jassy's defense to Wall Street rested on asset duration. Data centers, he noted, have a useful life of more than 30 years; chips, servers, and networking gear last five to six years. The implication is that current capex is amortized against a long tail of cloud revenue, not a single AI cycle.
He also conceded the near-term math is ugly. "In times of very high growth like now — where the capex growth meaningfully outpaces the revenue growth — the early years, free cash flow is challenged," he said. The 95% free cash flow drop is the proof.
Jassy pointed to the original AWS buildout as precedent. "We've been through this cycle with the first big AWS growth wave, and like the results," he said. "We expect to feel similarly about this next wave with much larger potential downstream revenue and free cash flow."
The pattern across hyperscalers this quarter is consistent. Google Cloud cleared $20B in Q1 and said it remained capacity-constrained; Microsoft reported Copilot at over 20M paid seats. Each is funneling AI demand into infrastructure spend that compresses free cash flow today in exchange for cloud share tomorrow. AWS's 28% growth on a $37.6B quarterly base is the loudest version of that bet.
The skeptic's case is straightforward: a $59.3B year-over-year jump in capex is a lot of conviction to place on demand curves that depend on enterprise AI adoption holding its current pace. If the AI revenue run rate at AWS plateaus before the data center footprint catches up, the asset-life argument starts looking like a long depreciation schedule on stranded capacity. Jassy did not address what happens if growth slows.
For now, AWS is the clearest financial proof that the AI buildout is moving real money. Amazon is willing to take its consolidated free cash flow down to $1.2B to keep the cloud business growing at 28%, and the market is, so far, letting it. The next test is whether the AI run rate keeps tracking ahead of the capex curve, or whether 2026 turns into the year hyperscaler margins start telling a different story.
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