The development of artificial intelligence is triggering a complex societal reaction that goes far beyond fears of job loss. According to an analysis by Michael Wy (michaellwy), modern anxiety surrounding AI has two key components: the material, related to economic risks, and the existential, affecting the foundations of human identity.
What Happened
In his Substack article, Michael Wy (michaellwy) conducted a deep analysis of the nature of the anxiety caused by AI development. He divided these fears into material (economy, employment) and existential (threat to agency, the meaning of labor, and the authenticity of interpersonal relationships). To structure these concerns, the author applied Irvin Yalom's concepts of the four existential fears: death, freedom, meaninglessness, and isolation.
Context
Discussions about AI have traditionally focused on technical safety aspects and the economic consequences of automation. However, the current stage is characterized by a shift in focus toward the psychological impact of technology, as progress begins to undermine basic mechanisms of human perception, such as the sense of agency (freedom of choice) and the search for meaning through work.
Why It Matters for the Industry
For the industry, this means a necessary transition from purely technical safety metrics to questions of ethics and psychological impact. An increased demand is expected for 'human-centric' AI system design that supports the user's sense of agency, as well as the emergence of new standards for evaluating systems that include social and psychological metrics.
Why It Matters for Users
Readers and users may encounter growing psychological resistance when implementing AI into critical workflows. Understanding that this anxiety has deep psychological roots can help people rationalize the fear of losing control and adapt to new ways of interacting with technology.
Sources
Author
Look at AI, Editorial Team