AI, Labor & Productivity
AI speed is a policy choice, not a universal race Rushing adoption can deepen inequality and strain education systems Measured AI adoption builds lasting capacity and stability In 2024, the United States saw a substantial amou
Read More
AI adoption in Europe is still limited, with most firms using AI only as a supporting tool The gap between AI hype and real workplace use reflects risk, skills gaps, and institutional limits Policy and education must focus on practical capacity, not promises of rapid transformation
Read More
AI capital cheapens routine thinking and shifts work toward physical, contact-rich tasks Gains are strong on simple tasks but stall without investment in real-world capacity Schools should buy AI smartly, redesign assessments, and fund high-touch learning
Read More
AI investment pays off in Southeast Asia only when paired with real workforce learning Training, workflow redesign, and governance turn tools into measurable productivity and wage gains Shift budgets from hardware to people so diffusion is broad, fast, and inclusive
Read More
AI is making labor borderless as online services surge Opportunity expands, but standards, audits, and broadband are crucial Schools must teach task-first skills, platform literacy, and safeguards The fastest-growing part of g
Read More
AI boosts task productivity, especially for novices AI labor displacement is real but small and uneven so far Protect entry-level pathways and buy for augmentation, not replacement Let's start with a straightforward fact.
Read More
AI is erasing junior tasks, widening wage gaps Inside firms gaps narrow; across markets exclusion grows Rebuild ladders: governed AI access, paid apprenticeships, training levies One figure should change how we think
Read More