Andy Jassy Resets AI Narrative
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Andy Jassy Resets AI Narrative

April 9, 2026

Happy Thursday.

We’re live on YouTube and 𝕏.

The current thing in tech and business is the heated discourse around how fake/real the Anthropic-led marketing cycle around Mythos is.

Today’s lineupToday’s Op-Ed, by John Coogan

Andy Jassy Resets AI Narrative

Andy Jassy | Alamy

The AI lab horse race continues to volley back and forth every day. Anthropic’s Mythos Preview and Project Glasswing launching on Tuesday, quickly followed by news today that OpenAI also plans to deliver a model with advanced cybersecurity capabilities to key internet infrastructure providers. There’s still debate over how and when these models will roll out to broader audiences. I think this will be an ongoing trend. Cybersecurity is a perfect fit for powerful AI coding agents, and staged releases make sense to allow critical systems to patch vulnerabilities that get exposed by new models. I wouldn’t be surprised to see something similar happen in biosafety, if a powerful model becomes capable of designing a harmful virus, it certainly makes sense to share that with the scientific community through trusted partnerships first, then make sure that capability is carefully under control before releasing a version of the model that can still help you learn about biology broadly.

Andy Jassy zoomed out for his latest 2025 Letter to Shareholders, talking about how AWS followed lots of squiggly lines to get where the company is today.

The original vision included storage, compute, payments, and human intelligence. Some of those (e.g. storage and compute) became lynchpins in AWS. Others didn’t succeed. We didn’t initially plan a database service; and when we built one, our first attempt failed to get traction. We went back to the drawing board and built new relational and non-relational database services, which have resonated well and become core to millions of AWS applications. When we launched EC2 (our compute service), it was a single instance type in one availability zone, Linux-only, with no auto-scaling, load balancing, block storage, or private networking.

Jassy has ramped Amazon capex significantly for good reason, he said: “We’re not investing approximately $200 billion in capex in 2026 on a hunch, AI is a once-in-a-lifetime opportunity where the current growth is unprecedented and the future growth is even bigger.”

He does a great job contextualizing the speed of AI growth by calling back to Thomas Edison. “When Edison opened his first commercial power station in 1882, most people understood it as a better way to light a room. What they couldn’t see was that electricity would eventually reorganize every factory, home, and industry on Earth. AI may have comparable impact. The difference is that electricity took 40 years to get where it was going. AI appears to be moving ten times faster.”

He backs this up by comparing the scale of AI revenue at Amazon to the original launch of AWS. Three years after AWS launched, it had a $58 million revenue run rate. AWS’s current AI revenue run rate is over $15 billion for Q1 2026. Three years after the real start of the AI boom. This is nearly 260 times larger than the AWS growth curve, a testament to the multiplicative power of AI deploying across robust internet and cloud infrastructure.

The AI boom will naturally require a whole lot more infrastructure, and Amazon is “smack in the middle of this land rush” as Jassy puts it. AWS added 3.9 gigawatts of new power capacity in 2025 and expects to double total power capacity by the end of 2027.

Jassy argues (convincingly in my opinion) that every customer experience will be reinvented in the coming years by AI. They aren’t on the frontier of every trend, but have been investing for years in nearly every important category across custom silicon, satellite internet, robotics, same-day delivery, and rural expansion.

We’ll be digging in further to Jassy’s letter on the show today. Tune in!

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