By Stuart Kerr, Economy & Future of Work Correspondent

Published: 10/10/2025 | Last Updated: 10/10/2025

Contact: liveaiwire@gmail.com | Twitter: @LiveAIWire

A quiet divide is opening in the global workplace. As artificial intelligence transforms industries at a pace once thought unimaginable, the promise of efficiency and new opportunity is tempered by a harder truth: not everyone stands to benefit equally.

On one side, workers with access to advanced tools, adaptable skills, and supportive employers are finding AI an accelerator—multiplying their productivity and expanding their influence. On the other side, employees in more routine roles, or in firms slower to adopt new systems, are experiencing the opposite: stagnation, redundancy, or an uneasy sense that their place in the economy is shrinking.

The question of who thrives and who struggles is not abstract. Data from the World Economic Forum suggests that entry-level opportunities are already narrowing as automation seeps into once “safe” sectors World Economic Forum. While AI promises to free workers from repetitive drudgery, it also risks closing doors for those at the start of their careers.

This divide is sharpened by inequality across geography and industry. Some countries have invested heavily in digital infrastructure, skilling programmes, and inclusive labour policy. Others lag, exposing their workforces to the brunt of automation without the cushions of retraining or social protection. As MIT Sloan researchers note, generative AI may deepen these divides by boosting high-skilled roles while depressing wages for mid-skilled ones.

The tension also plays out within firms. For companies able to integrate AI responsibly, productivity gains are real. McKinsey forecasts suggest significant growth in knowledge-intensive sectors as AI handles data synthesis and reporting. But not all organisations have the resources to restructure workflows or reskill employees at scale. Without deliberate choices, AI risks creating a two-tier workforce: those empowered by machines, and those displaced by them.

The impact on wages is particularly stark. A MIT study found that automation has already contributed to income inequality over the past two decades. The effect of AI could accelerate this trend, raising questions about the social contract: what obligations do employers and governments have to support workers through transition?

For many, the issue is not whether AI will create new jobs—history suggests it will—but whether those new jobs will be accessible to those displaced. The Future of Jobs Report 2025 highlights a growing mismatch between the skills employers demand and the training most workers currently receive. Without urgent investment in education and lifelong learning, the divide will widen further.

The stakes are clear. As explored in Will AI Really Take Your Job in 2025?, the future of work is not a single story but a spectrum of possibilities. Some will rise with AI, others will be left behind. The challenge for policymakers, businesses, and communities is to close the gap before it hardens into a permanent fracture.

In the end, AI is not simply a set of tools; it is a mirror reflecting our choices about fairness, opportunity, and inclusion. The workplace divide it is creating is not inevitable. It is, instead, a test of whether societies can channel innovation towards shared prosperity, or whether they allow technology to entrench inequality.

About the Author

Stuart Kerr is the Economy & Future of Work Correspondent for LiveAIWire. He reports on how emerging AI trends reshape jobs, skills, and what people need to thrive in shifting workplaces. Read more.