AI to Transform Employment Structure - 85 Million Jobs Affected by 2025, WEF Report

According to the World Economic Forum’s (WEF) “Future of Jobs Report 2025,” the rapid proliferation of AI will affect 85 million jobs globally by 2025¹. Simultaneously, AI-related technologies are expected to create 11 million new jobs, marking a historic turning point for the labor market.

Impact by Job Category: High-Risk Sectors and Growth Areas

According to joint research by MIT and Boston University, 2 million workers in manufacturing will be replaced by AI by 2025². The following occupations will be particularly affected:

High-risk occupations:

Market research analysts: 53% of tasks can be automated by AI
Sales professionals: 67% of tasks are subject to AI automation
Retail sector: 65% of the industry can be automated by 2025

Occupations expected to grow:

AI algorithm auditors
AI ethics specialists
Data scientists (specialized in strategic analysis)
AI trainers and prompt engineers

Structural Changes in the Labor Market: The End of “Job Polarization”

Recent research by Harvard economists David Deming and Lawrence Summers reveals new patterns in AI’s impact on the labor market³.

The traditional “job polarization” (growth in high-skill and low-skill jobs, decline in middle-class positions) has ended, with low-wage service employment plateauing since 2019. Instead, a “unidirectional pattern” has emerged where only high-skilled, high-paying positions requiring advanced training continue to grow.

This shift indicates that AI has begun automating not just simple tasks but also moderately complex work.

Skills Required for 2025

Surveys of major global companies indicate that 54% of all workers will need significant reskilling by 2025, with the half-life of professional skills shrinking from 5 years to 2.5 years¹.

Most critical skills:

AI literacy (understanding AI capabilities and limitations)
Data interpretation skills (contextualizing AI-generated insights)
Complex problem-solving
Creative thinking
Social intelligence

Notably, research shows that professionals with both domain expertise and AI literacy command 35% higher salaries. 77% of companies have made improving AI collaboration skills their top priority by 2030.

Impact and Response in the Japanese Market

The Japanese labor market is predicted to experience particularly significant impacts. While 74% of workers in India are concerned about job displacement by AI, Japan’s lifetime employment system has led to a focus on internal skill transitions².

Japanese corporate responses:

Major financial institutions: Implementing AI-powered risk analysis systems while conducting training to enhance employees’ analytical skills
Manufacturing sector: Promoting retraining programs for workers to become AI system managers alongside production line automation
Retail industry: With the introduction of customer service AI, staff are concentrating on high-value-added services

Interestingly, 83% of workers are positive about delegating tasks to AI, expressing a desire to focus on more creative work.

Government and Corporate Responses: U.S. Bureau of Labor Statistics’ New Initiative

The U.S. Bureau of Labor Statistics (BLS) has launched a groundbreaking initiative to incorporate AI’s impact on the labor market into employment projections⁴. This move demonstrates that governments worldwide are beginning to seriously consider employment policies for the AI era.

Key policy responses:

Large-scale expansion of vocational training programs
Revision of unemployment insurance systems for the AI era
Creation of employment retention incentives for companies adopting AI
Strengthening of lifelong learning support systems

Particularly important are measures to address the widening gap caused by AI. Emerging and developing countries lack the infrastructure and skilled workforce needed to benefit from AI, raising concerns about international technological disparities.

Changing Role of Data Analysts: A Case Study

The dramatic transformation of data analysts’ job responsibilities exemplifies changes in the labor market. Previously spending 70% of their time on data collection and processing, their work allocation has shifted as follows after AI implementation¹:

Traditional work allocation:

Data collection and processing: 70%
Analysis and insights: 20%
Communication: 10%

Post-AI implementation allocation:

Data preparation: 20%
Strategic analysis: 50%
Stakeholder communication: 30%

This shift has elevated data analysts to more advanced decision-support roles.

Outlook Beyond 2025: The Present as a Turning Point

Analyses by multiple research institutions indicate that 2025 will mark a historic turning point for the labor market. While 30% of global workers are concerned about job displacement by AI, proper preparation is creating new opportunities².

Three elements for success:

Individual level: Continuous skill development and maintaining learning motivation
Corporate level: Organizational design based on AI-human collaboration
Societal level: Comprehensive retraining systems and redesigned social security

The key is viewing AI not as a threat but as a tool that augments human capabilities. As history shows, technological innovation brings short-term disruption but ultimately creates new employment and prosperity. The AI era will be no exception.