Amazon Hits Record High: AWS +28%, $364B backlog

Amazon Hits Record High: AWS +28%, $364B backlog

Amazon shares hit an all-time high last week after reporting AWS’s fastest growth in 3+ years. AWS backlog reached record $364B. AWS grew 28% in Q1 on a $150B annual run rate. Acceleration like that on a base this large is almost impossible.

Amazon shares hit an all-time high last week after reporting AWS’s fastest growth in 3+ years. AWS backlog reached record $364B. AWS grew 28% in Q1 on a $150B annual run rate. Acceleration like that on a base this large is almost impossible.

Signals that stand out from Q1:

$364B in committed customer spend

Amazon Web Services (AWS) backlog reached $364B in Q1, growing 49% or $120B in just 3 months.

CEO Andy Jassy added that the number “does not include the recent deal that we announced with Anthropic for over $100 billion.

There is reasonable breadth in that as well - it is not just one customer or two customers.”

The bigger this customer commits pool grows, the more procurement gravitates to AWS Marketplace.

Bedrock is now the enterprise AI distribution layer

  • 125,000+ customers

  • ~80% of Fortune 100 use it

  • Q1 customer spend on Bedrock grew 170% QoQ

  • Tokens processed in Q1 exceeded all prior years combined

OpenAI’s GPT-5.4 landed in Bedrock last week, with 5.5 coming.

AWS also previewed Bedrock Managed Agents powered by OpenAI - a stateful runtime Jassy called a “big deal” for production-scale agents.

Jassy on where enterprise AI is monetizing:

“The largest absolute place that we see enterprises having success is in projects that are around cost avoidance and productivity — things like business process automation or fraud or things of that sort.”

AI spend is now pulling core cloud growth with it

Amazon said AWS AI revenue is already above a $15B annualized run rate after only three years. AI revenue is growing triple digits year over year.

As customers spend more on AI, AWS sees a corresponding increase in demand for core services.

CFO Brian Olsavsky: “a strong correlation between AI spend and core growth.”

Post-training, agentic tool use, and inference all pull CPU, storage, and networking with them. AI expands the entire AWS footprint inside an account.

CapEx supports it - $43B in Q1, $151B trailing twelve months, up from $93B a year ago. AWS is building ahead of demand it has already sold

Memory shortage is quietly accelerating cloud migrations

Insight from the CEO: Memory and component prices have spiked, and suppliers prioritize hyperscalers for capacity. On-prem customers watching refresh cycles slip are now accelerating migration plans that had been stuck for months.

3 takeaways for alliance leaders:

  1. Lead with the customer’s AWS budget growth

If your target accounts have committed AWS spend, marketplace and co-sell should be part of the deal strategy early.

  1. Tie your AWS story to AI-driven core growth.

The best partner positioning will show how your product expands, secures, governs, or accelerates AWS workloads.

  1. Build for the Bedrock and agent ecosystem.

Enterprise AI buying is moving toward platforms where models, data, agents, and governance come together.

AWS just reported one of its strongest quarters in years. Are you positioned to ride the next AWS growth wave?

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