AI Hiring Bias: Why LLMs Prefer Their Own Resumes
LLMs used in hiring unfairly prioritize resumes generated by their own model over human-written content, creating a systemic 'self-preference' bias.
How AI technologies unevenly distribute benefits and harms across socioeconomic lines, including the concentration of gains among the privileged, the disproportionate impact of automation and algorithmic bias on vulnerable populations, and the role of class and status in shaping attitudes toward AI.
LLMs used in hiring unfairly prioritize resumes generated by their own model over human-written content, creating a systemic 'self-preference' bias.
The privatization of frontier AI models threatens to replace the internet's egalitarian frontier with a neofeudal system of gatekept intelligence.

Public desperation over AI-driven job loss is manifesting as targeted violence against industry leaders because the technology itself is too difficult to destroy.

AI is devaluing human intelligence as an economic asset, making inherited capital the sole remaining driver of long-term wealth and social mobility.

Young workers are pivoting to physical trades and emergency services to escape the threat of AI automation in office-based careers.

AI optimism is a privilege held by those who assume they will benefit from the technology while others pay the price for its systemic and personal harms.
The U.S. jobs market is wobbling—decoupled from growth—prompting preemptive Fed rate cuts amid fears of a K-shaped economy.

Technological productivity booms make some things vastly cheaper and more abundant while making human services pricier—often even within the same job—so we should embrace the gains and keep pushing productivity.

AI is selectively reshaping the job market—hurting execution-heavy creative roles while boosting AI engineering and leaving strategy-, complexity-, and empathy-driven roles relatively resilient.

Treat AI not as a productivity boom but as a class project to cheapen, control, and degrade work—and organize collectively to counter it.
Generative AI adoption skews labor demand toward seniors and away from juniors, chiefly by slowing junior hiring from 2023 onward.