Educational technology is entering a new phase. For years, scale and connectivity defined success. Today, the real advantage is shifting toward something deeper.

In this episode, we explore the move from network effects to cognitive effects in EdTech. As platforms like LMSs and SISs accumulate years of learning data, they begin to develop long-term memory about how individual students think, study, and progress. That accumulated understanding creates a powerful "cognitive moat" — one that makes switching platforms harder and personalization more valuable.

We unpack what this shift means for institutions, vendors, and learners alike. From predictive intelligence to personalized learning paths that follow students across life stages, the future of EdTech may depend less on infrastructure and more on knowing the learner. The platforms that win won't be the biggest. They'll be the ones that understand students best.

Note: This episode is based on a blog post from ListEdTech.com and was created using Google Notebook LM. While we strive to remain faithful to the original content, some details may differ. For the authoritative version, please consult the original blog post on ListEdTech.com.