Article

Open Source: The Innovation Engine Behind Modern AI

•

January 21, 2026

•

1 min

Summarize this article with:

I wrote a piece for Forbes Tech Council on why open source continues to dominate AI infrastructure, and it has nothing to do with licensing fees.

The real advantage is transparency. When code is auditable, innovation happens faster.

Here's why: In closed systems, testing new ideas means vendor negotiations, proof-of-concept agreements, and lengthy security reviews of black boxes you can't inspect. Innovation moves at the pace of contracts and compliance committees.

With open source, you can experiment in days instead of months. Deploy in your own environment safely. Actually verify what's happening with your data instead of taking a vendor's word for it.

This matters more as companies race to integrate AI. You're choosing tools that will handle your most valuable asset: internal first-party data. Closed systems force blind trust. Open source lets you inspect, modify, and validate everything.

AI is too big for one company to own. We don't know what the final version of this technology will be, and we can't trust a single entity to make those decisions for everyone else.

It has to be built together, in the open. Read the full story.

Limitless data movement with free Alpha and Beta connectors

Introducing: our Free Connector Program ->

The data movement infrastructure for the modern data teams.

Try a 30-day free trial