Space exploration has always been a story about trust — trusting physics, trusting engineering, trusting the people beside you. Now Blue Origin is asking a different question: can you trust an AI agent with something destined for orbit?
When you’re building rockets that land themselves on barges in the middle of the ocean and sending cargo to the Moon, the margin for error doesn’t exist. The engineers who do this work have spent careers honing deep expertise — and now they’re being asked to collaborate with AI agents that run design loops, iterate on simulations, and surface patterns across massive volumes of flight data. That’s not a tool swap. It’s a shift in identity, authority, and creative control.
In this episode, AWS’s Randi Larson sits down with Tamara Power-Drutis, Principal, AI Strategy and Business Operations for Blue Origin’s New Glenn program, and Kate Zimmerman, Worldwide Public Sector Leader at AWS, to unpack what trust actually looks like when the stakes are as high as they get.
They explore:
• Why the people most critical of AI are the ones you need most in the room — and how Blue Origin’s AI champion program turns skeptics into coaches
• How organizations build confidence in AI through governance, guardrails, and visibility — not blind faith
• Why trust isn’t binary — and the design pattern most organizations still get wrong
• What it takes to go from one AI agent to company-wide adoption, and the cultural transformation behind it
• Why data centers in space might not be as far-fetched as it sounds — and how AI is the key to unlocking deeper space exploration
Whether you’re a business leader navigating your own AI adoption curve, an executive trying to understand how to build trust in autonomous systems, or someone wrestling with what it means to hand creative control to a machine in a high-stakes environment — this conversation reframes what’s possible when you move fast and smart at the same time.
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