Writing in Symbiosis: Mapping Human Creative Agency in the AI Era

TL;DR

This paper explores how human writers adapt their creative styles in response to AI, revealing diverse coevolution patterns and challenging assumptions of stylistic homogenization in the era of large language models.

Contribution

It introduces the concept of Dual-Track Evolution and maps emergent human-AI creative archetypes through large-scale longitudinal analysis.

Findings

Authors show increased similarity to AI style

Authors exhibit decreased similarity to AI style

Some maintain stylistic stability while engaging with AI themes

Abstract

The proliferation of Large Language Models (LLMs) raises a critical question about what it means to be human when we share an increasingly symbiotic relationship with persuasive and creative machines. This paper examines patterns of human-AI coevolution in creative writing, investigating how human craft and agency are adapting alongside machine capabilities. We challenge the prevailing notion of stylistic homogenization by examining diverse patterns in longitudinal writing data. Using a large-scale corpus spanning the pre- and post-LLM era, we observe patterns suggestive of a "Dual-Track Evolution": thematic convergence around AI-related topics, coupled with structured stylistic differentiation. Our analysis reveals three emergent adaptation patterns: authors showing increased similarity to AI style, those exhibiting decreased similarity, and those maintaining stylistic stability while engaging with AI-related themes. This Creative Archetype Map illuminates how authorship is coevolving with AI, contributing to discussions about human-AI collaboration, detection challenges, and the preservation of creative diversity.