AI-Native vs. AI-Enabled

Lots of companies sell AI now, but few have actually reinvented how their work gets done. This is the difference between an AI-enabled and AI-native company.

A few things tend to be true of AI-native companies:

1. Repetitive manual work gets pressure tested, so people spend their time on the parts of the job that actually need a human.
2. Anything done more than once becomes a skill the whole team can use, so good ideas don't stay locked in one person's head.
3. Automations get shared across the team quickly. That's the only way to find out whether something is useful in more than one place.

Most teams treat their workflows as fixed and hire more people to run them. The alternative is to treat every workflow as temporary, and always assume there's a better version of it.

If "good enough" is never the bar, there's always something to improve on. This gets me excited about building at Petra Labs every day.

Everyone on our operating team is held to the same standard: do you build systems that make everyone's work easier? That's how we deliver real revenue for our customers, which is what actually matters.