Dr. Ben Zweig joins the podcast from NYU’s Stern School of Business to discuss what is wrong with the world of work and how to fix it. Ben is the author of the book “Job Architecture: Building a Language for Workforce Intelligence,” professor of Economics, and CEO of Revelio Labs.
In this conversation, Ben discusses the challenges created when a new employee finds out the job they accepted is unlike the work they end up doing after a few months. Ben says this lack of clarity results in pendulum swings between rapid job expansions and mass layoffs. He also discusses how work can be better designed to be a source of dignity and purpose. experience/expectation gap
Ben believes that management is about job reconfiguration in order to keep employees relevant and so those same employees are able to meet current and future needs at their organizations. The interview finishes with a conversation about the future of work, how artificial intelligence will augment every job, and the likelihood AI and robots will be taxed in order to generate revenue to pay for universal basic income.
We also talk about whether work - in an augmented world of robots and AI - should be saved. It’s safe to say that we agree that work should be saved as long as it’s reimagined.
Dr. Ben Zweig is the CEO of Revelio Labs, a workforce intelligence company that leverages the latest advances in AI research to create a universal HR database from public sources. Ben teaches courses on Data Science and The Future of Work at NYU Stern. His first book is “Job Architecture: Building a Language for Workforce Intelligence.”
Read More