The word “crucial” is having a moment in French political discourse. A recent analysis by video essayist RIAN reveals a striking surge in the use of the adjective by members of the National Assembly, coinciding with the widespread adoption of ChatGPT and other large language models. This linguistic shift raises questions about the subtle influence of artificial intelligence on public debate and the very language of policymaking.
RIAN’s investigation, published on March 4, 2026, focused on transcribed records of parliamentary proceedings. He observed that the phrase “joue un rôle crucial” (plays a crucial role) increased by a remarkable 861% between 2017 and the present day. The formulation “il est crucial de/que” (This proves crucial to/that) has quadrupled in usage over the same period. The data, visually presented in RIAN’s video, points to a significant uptick beginning in May 2024, the month OpenAI launched GPT-4o, a then-free-to-use language model. While RIAN acknowledges this isn’t definitive proof, he frames it as a “sign” worthy of further scrutiny.
The Rise of “Crucial” and the GPT-4o Connection
GPT-4o, as OpenAI describes, was designed to be a versatile and accessible language model. Yet, the model was discontinued in recent weeks, with ChatGPT phasing out several of its models. RIAN’s analysis suggests that the model’s linguistic tendencies—a preference for terms like “crucial”—may be subtly permeating the language of French politicians.
This isn’t an isolated observation. In 2025, research analyzing the speeches of British Members of Parliament reached a similar conclusion. A study, as reported by The Pimlico Journal, found that certain terms became increasingly common in parliamentary discourse following the release of ChatGPT and that those same terms were frequently used *by* ChatGPT itself. This suggests that the influence of AI extends beyond simple drafting assistance; it may be shaping the very vocabulary of political debate.
Beyond Communication Teams: Politicians Embracing AI
The use of generative artificial intelligence isn’t limited to communications staff struggling with email drafts or media outlets experimenting with automated content creation. Increasingly, politicians themselves—and those advising them—are turning to tools like ChatGPT to assist with speechwriting and policy development. This trend, while potentially offering efficiency gains, raises concerns about originality, critical thinking, and the potential for homogenization of political thought.
As RIAN points out, the implications aren’t necessarily malicious. The increased use of “crucial” might simply be a harmless, even amusing, side effect of AI integration. However, the question remains: what if the ideas and laws debated and enacted by elected officials are, at least in part, conceived with the assistance of artificial intelligence? What are the potential risks of outsourcing critical thinking to algorithms?
The Broader Trend of AI in Politics
The French case reflects a global trend. Across the political spectrum, lawmakers are experimenting with AI tools for a variety of tasks, from constituent communication to policy research. The ease of access and increasing sophistication of these tools make them attractive options for busy politicians. However, the lack of transparency surrounding their use—and the potential for algorithmic bias—are growing concerns. The debate extends beyond simply identifying frequently used words; it touches on the fundamental question of how AI will reshape the democratic process.
The increasing reliance on AI in political discourse too raises questions about authenticity and accountability. If speeches are partially generated by AI, how can voters assess the genuine beliefs and intentions of their representatives? And who is responsible when an AI-assisted policy decision leads to unintended consequences?
For now, the linguistic fingerprints of AI are relatively easy to spot. But as these tools become more sophisticated and seamlessly integrated into the political workflow, identifying their influence will become increasingly challenging. The rise of “crucial,” as highlighted by RIAN’s analysis, serves as a subtle but potent reminder of the need for critical awareness and ongoing scrutiny as AI continues to reshape the landscape of public debate.
The French National Assembly is expected to hold a committee hearing on the ethical implications of AI in politics next month. The hearing will focus on transparency, accountability, and the potential for bias in AI-assisted policymaking. Share your thoughts on this evolving issue in the comments below.
