In light of the accelerating epistemic shifts shaping the field of economics today, artificial intelligence is no longer merely a technical aid or computational tool. It is increasingly becoming a subtle yet active agent in reshaping how economic knowledge is produced, interpreted, and legitimized. The issue is no longer just about using smart tools for modeling or analysis, but rather about the emergence of new epistemological configurations—where algorithmic capabilities intersect with human reasoning and interpretive judgment.

This evolving landscape compels us to reflect critically on whether a new, hybrid model of knowledge production is emerging—one that integrates machine intelligence with human subjectivity. And if such a model is both possible and desirable, we must then ask:

What methodological and ethical conditions would be necessary to ensure that this hybrid model enhances, rather than erodes, the integrity of economic inquiry?