Amazon Just Crossed $3 Trillion — and AWS Still Can't Build Fast Enough
Amazon just became one of only a handful of companies ever to cross a $3 trillion valuation. But the number that stopped me wasn't the market cap. It was AWS growing 37% year over year to $42.2 billion in a single quarter — its fastest pace in more than four years — and it still isn't enough. Andy Jassy's own words: even after lifting 2026 capital spending to roughly $220 billion, AWS "will still…
Amazon has just become one of a select few companies to achieve a $3 trillion valuation. However, what caught my attention was the rapid growth of its cloud computing arm, AWS, which surged by 37% year over year to $42.2 billion in a single quarter. This marked its fastest pace in over four years, yet it still fell short of meeting demand, according to Amazon's CEO Andy Jassy.
Despite ramping up its 2026 capital spending to about $220 billion, Jassy admitted that AWS would still "not have enough capacity to meet all the demand" this year or the following one. He labeled the demand for the following year as "striking." Reflect on this: the world's largest cloud provider, investing nearly a fifth of a trillion dollars, is unable to scale fast enough.
The bottleneck has shifted from a software and talent race to a more tangible issue: chips, power, and data-center capacity. This development has moved the focus from merely developing software and talent to acquiring infrastructure. In this new landscape, efficiency is no longer optional; it has become a real competitive advantage.
The companies that secure compute and utilize it effectively may hold the key to success in the next phase of AI development. This raises a crucial question: is the primary constraint on AI now energy and infrastructure, rather than algorithms? If so, who is best equipped to tackle this challenge? The answer could drastically alter the competitive dynamics in the AI sector. Key tags for this story include AWS, AI, cloud, and DevOps.
Written by urgent.news from Dev.to's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
