It doesn't matter if it works (henry.codes)

Recent discussions in the AI community highlight a pressing concern: regardless of whether AI, particularly large language models (LLMs), proves effective in replacing human labor, their adoption poses a significant threat to job security. The article examines two scenarios—one where AI effectively automates jobs and one where it fails to deliver as promised. In either case, the implications are dire: increased automation could lead to widespread layoffs and lower wages, while the mere mention of AI might serve as a pretext for companies to justify downsizing without accountability. The analysis draws parallels to the Industrial Revolution, emphasizing how the introduction of advanced technologies historically led to a de-skilling of the workforce and a concentration of power among capitalists. It argues that both successful and ineffective applications of AI could diminish worker solidarity, skills, and bargaining power. The call to action for workers is clear: they must unite to defend their interests against the undeniable disruptions AI could bring, advocating for protections that safeguard jobs in an increasingly automated landscape.