A recent poll suggests many doctors aren’t warning elderly patients of the risks when prescribing painkillers.
The actor worked in finance and at a strip club before committing to comedy.
Margot Lee Shetterly, the author of Hidden Figures, on figuring out when to leave a job
Two Atlantic staffers discuss the writer Alexia Arthurs’s bright, complex debut collection of short stories and the larger tradition of immigrant literature from which it draws.
Why the founder of Girls Who Code stayed in a role she hated before leaving the private sector
The historian Nell Painter discusses her lifelong love of art, and how it felt to finally pursue her dream after she left the workplace.
How the activist made a career of social justice.
Lemuel Butler, one of the world’s most celebrated baristas, had a string of odd jobs and dropped out of college before devoting himself to his craft.
How Paulette Jordan’s roots influenced her campaign to become the first Native American governor in the United States
How the writer Leslie Jamison navigated service jobs, elite institutions, and alcoholism
Missy Cummings discusses her first job, her experience as one of the first female fighter pilots, and her time as a Duke professor.
How Philip Glass went from driving taxis to becoming one of the most celebrated composers of our time
How Cristina Jiménez went from doing under-the-table jobs to becoming a MacArthur Fellow and immigrants’ rights activist
Artificial intelligence could bring huge revenue increases for companies—but not if they don't train their employees for the new era.
Harnessing the resource could help them achieve the graduate’s dream: finding a job.
Real-time data on the labor market promise to finally help employers and job-seekers make better decisions. Will it work?
The strategies used to help workers displaced by technology and globalization in the 1980s ultimately failed. So why do the country’s policymakers continue to resort to the same tactics?
Those places? Colleges.
Jobs that are dangerous or involve repetitive labor are most at risk of becoming obsolete. And that means some racial groups will suffer more than others.
Do innovators have a responsibility to help workers whose livelihoods are threatened by machines?
Worker-training programs could bring companies good workers at low costs.