This article argues that companies hire out of necessity rather than desire, and that the labor market exists mainly because business owners need help. It critiques the belief that jobs will always be available, suggesting that advancements in AI could further reduce the need for human labor.

This article explores the impact of artificial intelligence on economic structures, arguing that while AIs may outpace humans in productivity, there will still be a demand for human-created status goods, referred to as Veblen goods. It suggests that the pursuit of status and exclusivity will sustain human employment despite automation.

Forrester analyst J.P. Gownder argues that AI hasn't significantly improved productivity or job growth, echoing the Solow Paradox. He predicts that AI could eliminate 10.4 million jobs by 2030, but many of these positions won't return, as companies often replace them with cheaper labor overseas instead of AI.

Major companies like Amazon and Target are laying off thousands of white-collar workers, reflecting a shift in the job market as automation and AI technologies advance. Many newly unemployed professionals are facing a tough job market with limited opportunities.

The article discusses the concept of programming deflation, exploring its implications for software development and the economy. It emphasizes how advancements in technology can reduce costs and increase efficiency, ultimately impacting the value of programming skills and services. The piece reflects on the future landscape of programming in an increasingly automated world.

Small factories across America are increasingly adopting collaborative robots, or "cobots," which are making automation accessible to businesses of all sizes. These agile and cost-effective machines are essential for the ongoing recovery of American goods production, enabling the manufacture of advanced technologies and military equipment.