
Sign up to save your podcasts
Or


In this episode of Know About Everything, we explore how work is being transformed by technology, automation, and shifting social values. The episode traces the evolution of work from physical labor and industrial factories to digital, remote, and AI-assisted roles. It highlights how automation is replacing routine tasks while increasing demand for uniquely human skills such as creativity, empathy, judgment, and adaptability.
The episode examines both opportunity and uncertainty in the future of work — greater flexibility, global access, and innovation on one side, and job insecurity, rapid skill obsolescence, and identity loss on the other. It emphasizes the growing importance of lifelong learning, reskilling, and redefining education as a continuous process rather than a one-time preparation.
Finally, the episode challenges traditional ideas of productivity and success, raising questions about work-life balance, purpose, and inclusion. It concludes that the future of work is not predetermined by technology, but shaped by human choices — and that meaningful contribution, not mere efficiency, will define work in the age of intelligent machines.
By John ChrismanIn this episode of Know About Everything, we explore how work is being transformed by technology, automation, and shifting social values. The episode traces the evolution of work from physical labor and industrial factories to digital, remote, and AI-assisted roles. It highlights how automation is replacing routine tasks while increasing demand for uniquely human skills such as creativity, empathy, judgment, and adaptability.
The episode examines both opportunity and uncertainty in the future of work — greater flexibility, global access, and innovation on one side, and job insecurity, rapid skill obsolescence, and identity loss on the other. It emphasizes the growing importance of lifelong learning, reskilling, and redefining education as a continuous process rather than a one-time preparation.
Finally, the episode challenges traditional ideas of productivity and success, raising questions about work-life balance, purpose, and inclusion. It concludes that the future of work is not predetermined by technology, but shaped by human choices — and that meaningful contribution, not mere efficiency, will define work in the age of intelligent machines.