We Need More Systems Thinkers in an AI World

In a recent conversation with Lenny Rachitsky, Elizabeth Stone, Chief Product and Technology Officer at Netflix, was asked about the human skills that would matter in an AI world.

Her answer:

“We need more systems thinkers in a world with AI.”

Systems thinking simply means looking beyond the task in front of you and understanding how it connects with the larger picture.

Three points from her conversation stood out for me:

1. Zoom out one level

Elizabeth suggests a simple practice:

“Each problem you’re trying to solve, step out one click to: What am I assuming is true about the broader space?”

Before building a feature or solving a problem, ask what larger customer, business or organizational problem it is connected to.

2. Solve for the whole, not only your part

A solution may work perfectly for one team and still create problems elsewhere.

Systems thinkers ask whether what they are building can scale, be reused by others and strengthen the wider organization, rather than only improving a local metric.

3. Build common paths, not scattered solutions

As AI allows more people and agents to build, organizations risk ending up with disconnected tools, inconsistent experiences and duplicated work.

This makes shared platforms, trusted data, common design standards and clear guardrails far more important.

How do we inculcate systems thinking?

Start small.

For every important task, pause before execution and ask:

• What is the larger problem?
• Who else will be affected?
• Can this be useful beyond my immediate need?
• What second-order problems could it create?

You do not need to solve the entire system. You just need to develop the habit of zooming out one click before zooming in.

A must-watch/listen episode.

Reference: Elizabeth Stone in conversation with Lenny Rachitsky