Work's Digital Economy unpacks AI and automation's economic punch. It tracks skill shifts-data literacy, AI ethics, emotional intelligence. It spans the globe-US firms hit 60% AI adoption, Kenya's at 10%. It dives into industries-robots rule Foxconn, NHS bots triage patients, AI crafts music in Japan. Forecasts mix stats-20% job loss by 2040-with scenarios like automated Sweden. Governance steps up-EU regulates, Singapore retrains. Education pivots-India teaches AI, Germany reskills workers. Inequality bites-older Japanese falter, women shift roles. Productivity jumps-15% for AI firms. Virtual work booms-Microsoft leads. Philosophy asks: why work? GDP grows-China eyes $7 trillion. Ethics wrestle bias-Amazon scraps flawed tools. It's a full economic sweep.
This book stands out where others stumble-it's not just tech hype or dry stats. It weaves a global tapestry, blending Foxconn's labor cuts with Kenya's slow uptake, avoiding the usual US-centric lens. It pairs hard data-like McKinsey's 25% logistics shift-with human stories, like rural India's lag. Other books skim governance or education; here, you get the EU's AI Act and Amazon's upskilling in depth. It dares to philosophize-work's meaning in an AI age-while rivals stick to surface trends. It's raw, broad, and bold, offering a panoramic view no one else nails.