Equalizer or amplifier? How AI may reshape human cognitive differences

TL;DR

This paper explores whether AI acts as an equalizer or amplifier of human cognitive differences, highlighting its potential to either reduce or increase disparities in education and productivity.

Contribution

It analyzes recent evidence and discusses implications of AI's role in shaping cognitive inequality, emphasizing its impact on education and workforce skills.

Findings

AI may reduce inequality in cognitive ability but increase it in education.

Generative AI shows larger productivity gains for less-skilled workers.

AI's role as an equalizer or amplifier depends on context and application.

Abstract

Machines have at times equalized physical strength by substituting for human effort, and at other times amplified these differences. Artificial intelligence (AI) may likewise narrow or widen disparities in cognitive ability. Recent evidence from the Information and Communication Technology (ICT) revolution suggests that computers increased inequality by education but reduced it by cognitive ability. Early research on generative AI shows larger productivity gains for less-skilled than for high-skilled workers. Whether AI ultimately acts as an equalizer or an amplifier of human cognitive differences is especially crucial for education systems, which must decide whether -- and how -- to allow students to use AI in coursework and exams. This decision is urgent because employers value workers who can leverage AI effectively rather than operate independently of it.