More than half of the American labor force worked in agriculture in 1880. Today, the figure is 2 percent. Jobs common a century ago - drayman, telephone operator, woodchopper, hoistman - are niche or nonexistent. Yet Americans did not become obsolete. They became something else.

Atlantic staff writer Annie Lowrey has used this historical pattern to frame the current AI anxiety, "Hvylya" reports, citing The Atlantic.

Farmers became sewing-machine operators whose children became steamfitters, whose children became teachers, whose children became contestants on reality shows, Lowrey writes. The through-line is adaptation - humans, unlike horses, do not stand in a field and wait for obsolescence to arrive.

The transitions, however, were far from painless. The shift from agricultural to factory employment involved mass migration and the misery of the Great Depression. The later move from blue-collar to white-collar work decimated communities such as Dayton, Youngstown, and Muncie, and fueled the rise of extreme inequality. "We're still experiencing the social, political, and public-health consequences," Lowrey writes.

The lesson for the AI era is double-edged. Humans are transformers - they adapt, change, and sometimes thrive even as technology reshapes their work. But the speed of the transition matters enormously. When large numbers of jobs disappear quickly, the social fallout can last generations.

Searches for the phrase "job apocalypse" are spiking, and polls show voters are beginning to worry. Yet the most common job in the San Francisco Bay Area today is home health aide, a role that AI has barely touched. The future of work, Lowrey suggests, will be shaped as much by government regulation and corporate friction as by the technology itself.

Also read: OpenAI's chief scientist has warned that AI creates an unprecedented concentration of power in the hands of a few companies.