How Algorithmic Systems Suffocate Broad Thinking

Broad understanding has not vanished; it has been rendered functionally invisible by systems that cannot hold relations across time and domain. Under the technological turn, visibility accrues to what resolves quickly into a recognisable category, while work that moves across structures, scales, and vocabularies fails to stabilise into signal. This is not a problem of clarity or craft. It is a mismatch between relational thought and media optimised for immediate legibility.

What operates in the field between domains appears as drift to systems trained on convergence. Meaning that emerges through delay, synthesis, and structural correspondence is treated as dispersion rather than insight. Ranking, recommendation, and linguistic tooling all apply the same pressure: compress expression toward statistical centres, reward repetition, and flatten phase difference.

The consequence is not merely that certain kinds of writing go unread. The deeper cost is epistemic. As these systems shape what circulates, they quietly erode the capacity to think structurally at all. What is lost is not voice or recognition, but the ability to perceive the world as a set of interdependent dynamics rather than a sequence of isolated topics.