What are Amazon CEO Andy Jassy's Six 'Key Truths' of AI?

Following the release of Andy Jassy’s shareholder letter, the Amazon CEO has shared a clearer view on the future of AI across the business, outlining six “key truths” that signal how the technology will reshape operations at scale.

“Every customer experience will be reinvented by AI and there will be a slew of new experiences only possible because of AI,” Andy notes in the blog.

“I’ve followed the public debate on whether this technology is over-hyped, whether we’re in ‘a bubble’ and if the margins and ROIC will be appealing. My strong conviction, at least for Amazon, is that the answers are no, no and yes.”

While debate continues around cost, return and whether AI is overestimated, Andy reinforces his belief that AI will be central to improving customer experience.

He also highlights six developments he considers inevitable and difficult to dispute.

1. Rapid acceleration in AI adoption

Andy points to the pace at which organisations are embedding AI into their systems, arguing that industries have “never seen a technology more quickly adopted than AI”.

He references the November 2022 launch of ChatGPT as a defining moment, noting that it reached 100 million users in just two months – four times faster than TikTok and 15 times faster than Instagram.

Momentum is also evident in the growth of AI-native companies. OpenAI and Anthropic have both reported revenue run rates approaching US$30bn, which Andy describes as “breathtaking numbers for companies” so early in their lifecycle.

Drawing a historical comparison with Thomas Edison’s first commercial power station in 1882, he notes a stark contrast in pace. “Electricity took 40 years to get where it was going. AI appears to be moving 10 times faster”.

2. A competitive rush for AI capability

Andy characterises the current market as a “land rush”, placing Amazon firmly at its centre.

He contrasts AWS’ early growth with its current AI trajectory. Three years after launching in 2006, AWS reached a US$58m revenue run rate. Three years into the AI wave, its AI revenue run rate exceeded US$15bn in Q1 2026 alone.

According to Andy, customers are choosing AWS due to its breadth of capabilities, including model customisation, seamless integration with existing workflows, a wide ecosystem of services and what he describes as industry-leading security and performance.

3. Strong demand driving future growth

AWS continues to expand its infrastructure footprint, adding 3.9GW of power capacity in 2025 with plans to double this by the end of 2027. Andy notes that the company is “monetising that capacity as fast as it’s installed.”

The business reported 24% year-on-year growth and a US$142bn revenue run rate in Q4 2025, yet demand still exceeds supply.

“Two large AWS customers have already asked if they could buy all of our Graviton instance capacity in 2026 – we can’t agree to these requests given other customers’ needs, but it gives you an idea of the demand,” he says.

4. The rise of AI chips

AWS’ collaboration with NVIDIA has enabled it to scale AI services more effectively while improving the price performance of its own silicon.

“Having our own hotly demanded AI chip opens up many possibilities, but perhaps none larger than the ability to lower costs for customers and secure better economics for AWS,” Andy said.

“Our annual revenue run rate for our chips business (inclusive of Graviton, Trainium, and Nitro—our EC2 NIC) is now over US$20bn and growing triple digit percentages YoY.

“If our chips business was a stand-alone business and sold chips produced this year to AWS and other third parties (as other leading chips companies do), our annual run rate would be ~US$50bn.”

5. Increasing capital investment to support AI

Andy explains that AWS' financial model requires increased short-term capital expenditure as growth accelerates.

To scale its AI capabilities, AWS is investing heavily in land, power, buildings, chips, servers and networking infrastructure. These assets typically take between six and 24 months before they begin generating revenue.

However, these are long-term investments, with data centres lasting over 30 years and hardware assets such as chips and servers lasting five to six years.

He adds: “The FCF and ROIC for these investments are cumulatively quite attractive a couple years after being in service; however, in times of very high growth (like now), where the capex growth meaningfully outpaces the revenue growth, the early-years FCF is challenged until these initial tranches of capacity are being monetised and revenue growth out-paces capex growth.”

6. Customer commitments underpinning investment strategy

Andy emphasises that AWS’ investment approach is supported by strong customer demand and forward commitments.

“We’re not investing approximately US$200bn in capex in 2026 on a hunch,” he says, referencing OpenAI’s recent US$110bn funding round backed by Amazon, NVIDIA and Softbank.

“Of the AWS capex we expect to spend in 2026, much of which will be monetized in 2027-2028, we already have customer commitments for a substantial portion of it.”

He adds that AWS is prepared to absorb short-term FCF pressure in exchange for significant long-term returns.

Andy concludes: "AWS has a significant leadership position with the broadest functionality, strongest security and operational performance, largest share of customers and revenue, strong desire from customers to run their AI in AWS and an opportunity to build what could be a new pillar for Amazon in chips.

"AI is a once-in-a-lifetime opportunity where the current growth is unprecedented and the future growth even bigger."