Amazon Bets Big on AI as AWS Revenue Reaches US$108bn

Amazon’s AWS cloud division grew 19% year-over-year to US$108bn in 2024, driven by expanding AI initiatives, Andy Jassy has revealed in his annual letter to shareholders.

The cloud market leader reported overall revenue growth of 11% to US$638bn, with operating income increasing 86% to US$68.6bn.

The CEO devoted significant portions of his letter to explaining Amazon’s AI strategy, revealing that the company’s “AI revenue is growing at triple digit YoY percentages and represents a multi-billion-dollar annual revenue run rate.”

The company is building more than 1,000 generative AI (Gen AI) applications across its businesses, spanning from AWS cloud services to consumer-facing products like Alexa+ and improvements to its e-commerce platform.

“Generative AI is going to reinvent virtually every customer experience we know, and enable altogether new ones about which we’ve only fantasised,” he writes.

Central to Amazon’s AI push is AWS, which Andy describes as developing “the key primitives (or building blocks) for AI development,” including custom silicon chips, model-building services and the company’s own Nova models, announced at re:Invent.

Amazon Trainium2 chips challenge competitors

A key component of Amazon’s AI strategy is its custom silicon development. Andy highlighted the company’s development of its Trainium2 chips, which he claims offer “30-40% better price-performance than the current GPU-powered compute instances generally available today.”

This push for proprietary chips comes as AI infrastructure costs remain a concern across the industry, with Andy directly addressing the current economics of AI deployment.

“AI does not have to be as expensive as it is today, and it won't be in the future. Chips are the biggest culprit. Most AI to date has been built on one chip provider. It's pricey,” Andy writes, in an apparent reference to Nvidia’s dominance of the AI chip market.

Beyond hardware, Andy emphasised the importance of software infrastructure and Amazon’s investments in model efficiency.

“While model training still accounts for a large amount of the total AI spend, inference will represent the overwhelming majority of future AI cost,” he explains, noting that improvements in “model distillation, prompt caching, computing infrastructure, and model architectures” will drive efficiency gains.

The company has implemented a structured approach to technology development, including the use of written narratives instead of PowerPoint presentations since 2004, which Andy says enables teams to “highlight the key issues in enough detail to be crisp and clear.”

Alexa+ emerges as Amazon’s answer to AI assistant competition

Amazon is positioning its Alexa+ system as a competitive differentiator in the increasingly crowded AI assistant market, with Andy directly addressing why personal assistants have not yet achieved mainstream adoption.

“A great personal assistant can answer virtually any question and get things done on your behalf. There have been no digital solutions that can do both yet. That is, until Alexa+ arrived,” Andy writes.

The company reports having over 600 million Alexa devices deployed globally, providing a substantial platform for this enhanced assistant.

Andy also addressed Amazon’s broader technology initiatives beyond AI, including Project Kuiper, its low Earth orbit satellite network aimed at bridging the digital divide.

“There are about 400-500 million households around the world, most in small, rural towns that don’t have access to broadband connectivity,” Andy explains, noting that the company has begun launching production satellites with plans for over 3,200 in orbit.

In discussing work culture and innovation, Andy emphasised the value of in-person collaboration, particularly for technology development.

Amazon mandated a full return to office effective January 2025, requiring corporate employees to work from the office five days a week and ending the company's previous hybrid work arrangements. The policy change was met with resistance from sections of the company's workforce.

“In my experience, it doesn’t compare to being in the same room. The energy, the pace, the spontaneous brainstorming, the willingness for people to jump in, the way ideas evolve in real time and the post-meeting iteration is much better when in the same room — and yields better outcomes for our customers and teams,” he writes.

The letter concluded with Andy’s assessment of Amazon’s innovation philosophy and technology investment outlook: “We operate like the world's largest startup in large part because of our culture of Why. We don’t always get everything right, and we learn and iterate like crazy,” he writes.

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