Society’s current conversation around artificial intelligence has become dominated by extreme viewpoints, a phenomenon the author describes as “AI absolutism.” According to this perspective, AI is often portrayed either as a technology that will solve humanity’s biggest problems or as an unstoppable force that could lead to catastrophic consequences. The article suggests that both narratives can oversimplify reality and create a false sense that AI’s future impact is already predetermined.
A major focus of the article is the gap between AI predictions and real-world outcomes. While AI has already transformed areas such as software development, research, and automation, the author argues that claims of immediate and universal job replacement may be exaggerated. Some experts cited in the article suggest that recent workforce changes, particularly in technology companies, are influenced by multiple factors, including post-pandemic hiring corrections, rather than AI alone.
The article also examines how extreme AI narratives can benefit powerful stakeholders. Predictions of limitless AI growth can encourage investment and increase company valuations, while fears of an AI-driven crisis can shape public debate and policy discussions. The author argues that a more realistic view should focus on how AI is likely to affect work through areas such as productivity, workplace monitoring, management practices, and changes in labor relationships rather than assuming complete human replacement.
The article concludes that the future of AI is not fixed and depends on the choices made by governments, businesses, workers, and communities. Instead of accepting either a utopian or apocalyptic vision, the author calls for a balanced approach that encourages responsible innovation, smaller and more diverse AI developments, and human-centered uses of technology. AI’s impact will ultimately be shaped by how society chooses to design, regulate, and adopt it.
