SpaceX – Grandpa Bob Encouraging Leadership

Jensen Huang’s resignation from Nvidia got me thinking about an intriguing possibility.

What if Elon Musk recruited Huang to lead SpaceX’s new initiative to put AI data centers in orbit?

This is purely a thought experiment, and I’m not the first or only person to bring it up. I have no inside knowledge of Musk’s plans or Huang’s interests, and the circumstances around Huang’s exit are still unfolding.

But the hypothetical raises an interesting leadership question about talent.

Musk has the launch technology, the ambition, and an enormous appetite for AI computing capacity. Huang spent more than three decades building Nvidia into a dominant force in the computing and AI industry.

Imagine Musk offering Huang the chance to build an entirely new business around orbital AI computing. Give him substantial autonomy, meaningful ownership, and the possibility of eventually spinning the business into a publicly traded company with Huang as CEO.

Nvidia could remain a major technology partner. SpaceX could provide launch and orbital infrastructure. Terafab could eventually become another source of specialized chips.

And Huang could recruit an entirely new generation of engineers and leaders drawn to the chance to help create an industry that barely exists today.

Whether orbital AI data centers ultimately make economic sense remains to be seen. The technical challenges are extraordinary.

But Huang brings something particularly valuable to these challenges. He’s spent decades recognizing where computing technology is headed, assembling amazing engineering talent, and building the organizations needed to turn big ideas into commercially successful businesses.

An arrangement like this would demand something that often challenges leaders. Musk would have to give Huang genuine autonomy while aligning ownership, incentives, and objectives so both organizations benefit. The governance structure would have to reinforce this arrangement rather than undermine it.

Maybe nothing like this will happen. Still, it’s a useful exercise in how leaders should think about talent.

Sometimes the better question isn’t how to fit talent into an existing role, but how to build a role around exceptional talent.

Photo by Rémy Penet on Unsplash.

We call it Artificial Intelligence, but large language models don’t think, reason, or understand in human terms.

A more accurate description might be Artificial Idea Iteration since these tools dramatically compress the cycles of research, drafting, testing, and revision.

SpaceX didn’t transform spaceflight by having perfect ideas. They collapsed the time between ideas and reality. Failing fast, learning quickly, and iterating relentlessly.

AI creates the same dynamic for knowledge work, letting us move from intuition to articulation to revision in hours instead of weeks.

Engineers rely on wind tunnels to test aircraft designs before committing real materials and lives. AI does this for thinking.

Iteration itself isn’t new. What’s new is the scale for iteration that we now have at our fingertips. We can explore multiple paths, abandon weak directions quickly, and refine promising ones without the time, coordination, and risk that once kept ideas locked in our heads.

When iteration becomes inexpensive, we can take more intellectual risks and shift from trying to always be right to trying to always get better.

It’s ironic that as iteration is becoming cheaper and faster with AI tools, human judgment becomes more valuable. Someone still needs to know what’s worth developing, what deserves refinement, and when something is complete rather than exhausted.

The intelligence was never in the machine. AI simply gives us the capacity to develop ideas, test them against reality, and learn from the results at a scale and speed we’ve never had before.

Iteration at scale changes what’s possible. Judgment determines what’s worth pursuing.

Photo by SpaceX on Unsplash – when SpaceX proposed the idea of landing and reusing their rocket boosters after each launch, the idea seemed impossible. Now it’s happening about 3 times per week…and they’re just getting started.

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