SEATTLE
Amazon CEO Andy Jassy told investors Thursday that AWS can reach $1 trillion in annual revenue, a goal that will require the company to spend approximately $220 billion on capital expenditures in 2026 alone—with spending to grow further in 2027.
The scale of the commitment reflects Jassy's belief that cloud infrastructure buildout for AI is a "once-in-a-lifetime opportunity." But Wall Street's reaction was skeptical. Amazon shares fell 6 percent in after-hours trading as analysts pressed Jassy repeatedly on the returns timeline and profit margins from such massive outlays.
AWS today generates $184 billion in annualized revenue and grew 39 percent year-over-year last quarter—its sixth straight quarter of accelerating growth. The gap between current revenue and a $1 trillion target illustrates the scale of the buildout required: roughly a fivefold increase over the next five to seven years.
Jassy acknowledged investor anxiety but offered a straightforward defense: "We can fund this plan, and I think it will forever change the size of Amazon." He argued the company is still in "the very early days of AI adoption by the enterprise" and that spending now secures AWS's position before competitors lock in customer relationships.
The calculus is straightforward but precarious. Cloud operators face binary risk: underinvest in AI infrastructure and cede customers to rivals; overinvest and destroy near-term returns while betting demand accelerates faster than supply costs decline. Microsoft has managed the balance sheet better so far—the company reported record cloud revenue growth recently while maintaining stronger operating margins than investors expected.
Amazon's plan assumes that by 2027 or 2028, the infrastructure utilization and pricing power from enterprise AI workloads will justify today's capex. That requires two conditions to hold: AI spending by enterprises must scale as rapidly as Jassy predicts, and AWS must not saturate the market with excess capacity that drives down pricing.
Neither is guaranteed. Enterprise AI adoption remains patchy outside of software and financial services. And Amazon's willingness to spend aggressively could trigger a capacity glut that benefits customers but compresses industry margins.
