The consequences of AI-driven job polarization include ¹:
- AI will replace jobs and deepen inequality
- AI will complement human work
- 40% of global employment is exposed to AI
- 60% of jobs in advanced economies may be impacted by AI
- 40% of jobs in emerging markets and 26% in low-income countries may be impacted by AI
- Polarization within income brackets, with workers who can harness AI seeing an increase in productivity and wages, and those who cannot falling behind.

AI-driven job polarization refers to the phenomenon where automation and AI technologies disproportionately affect certain types of jobs, leading to a widening gap between high-skilled and low-skilled workers.

Consequences of AI-driven job polarization include:

1. **Income Inequality:** Automation and AI can lead to the displacement of low-skilled jobs, resulting in income inequality as workers with less education and skills struggle to find employment or are forced into lower-paying jobs.

2. **Skill Mismatch:** Workers who lose their jobs to automation may not have the skills necessary to transition to new, high-skilled roles, exacerbating unemployment and underemployment.

3. **Social Disruption:** Job polarization can lead to social disruption and dissatisfaction, as displaced workers may feel marginalized and left behind by technological advancements.

4. **Economic Dislocation:** Certain industries and regions may experience economic dislocation as a result of job polarization, leading to localized economic downturns and challenges for communities reliant on industries heavily impacted by automation.

5. **Policy Challenges:** Addressing job polarization requires comprehensive policy responses, including investments in education and training programs, retraining initiatives, and social safety nets to support workers transitioning to new roles or facing unemployment.

Overall, while AI-driven job polarization can lead to significant challenges, proactive measures can help mitigate its negative impacts and ensure a more equitable distribution of the benefits of technological advancements.