As AI-generated content spreads across writing, visuals, and everyday digital workflows, the challenge is no longer just spotting what is synthetic. The real question is how to understand the difference between AI-assisted and fully AI-generated material.
Pangram, a startup building tools for content verification, is positioning itself as part of the internet's emerging trust layer. The company recently raised $9 million to expand its detection technology and also announced a partnership with Substack, which uses Pangram's system to help readers identify newsletters written with AI support.
The startup has also introduced a new AI image detection tool, broadening its focus beyond text. In a recent conversation on the Equity podcast, Pangram co-founder and CEO Max Spero discussed how detection tools are evolving as AI becomes more deeply embedded in publishing, work, and online communication.
Rather than relying on a simple binary label, the next generation of verification tools may need to offer clearer context about how content was created. That shift could help users, platforms, and creators navigate a digital environment where authenticity and automation increasingly overlap. In the future, these tools may become a standard part of how online trust is built.
