AWS first quarter results reflect customer caution and Amazon layoffs

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Key Takeaways

Amazon's AWS segment saw a 16% year-on-year increase in sales, reaching $21.4 billion, although operating income dropped to $5.1 billion from $6.5 billion in Q1 2022.

The decline in operating income was attributed to existing customers optimizing their cloud spending amid challenging economic conditions and the impact of layoffs resulting in a $470 million severance charge.

Amazon continues to focus on long-term customer relationships and innovation in AI technologies, with advancements in machine learning chips and managed Large Language Models to drive future growth.

Amazon has released its first quarter results, with sales for its AWS segment having increased 16 percent year-on-year (YoY) to $21.4bn.

The operating income for the AWS first quarter was $5.1bn, compared with operating income of $6.5bn in Q1 2022. This drop was despite new investments and migrations from AWS customers in the quarter counting the likes of Southwest Airlines, Zurich Insurance Group, BBVA, Snowflake, Stripe, TELUS and more.

In the Amazon earnings call, both CEO Andy Jassy and CFO Brian Olsavsky put the decline down to optimizations from existing AWS customers.

“As expected, customers continue to evaluate ways to optimize their cloud spending in response to these tough economic conditions in the first quarter,” Olsavsky commented. “And we are seeing these optimizations continue into the second quarter.”

The CFO also admitted operating income was negatively impacted by Amazon’s recent layoffs of 9,000 of its employees. There was an estimated employee severance charge of approximately $470m in Q1 for the parent company, including $270m related to AWS.

On the  results, Jassy commented: “While our AWS business navigates companies spending more cautiously in this macro environment, we continue to prioritize building long-term customer relationships both by helping customers save money and enabling them to more easily leverage technologies like Large Language Models and Generative AI with our uniquely cost-effective ML chips (“Trainium” and “Inferentia”), managed Large Language Models (“Bedrock”), and AI code companion CodeWhisperer.

“We like the fundamentals we’re seeing in AWS and believe there’s much growth ahead.”