AI-Created New Employment Forms: 2028 Global Labor Market Structural Transformation Report

AI-Created New Employment Forms

The ILO's May 2028 Global Employment Trends Report presents a complex picture. Between 2025 and 2028, approximately 18 million jobs were lost to AI and automation — mainly in data entry (-4.2M), phone customer service (-3.8M), junior accounting (-2.5M), and basic translation (-1.8M).

About 23 million new jobs were created in the same period, including AI trainers (+3.5M), human-machine interaction designers (+2.8M), AI ethics auditors (+1.5M), data annotation engineers (+4.2M), and AI agent operations specialists (+3.1M).

The net gain of 5 million jobs sounds positive, but the report highlights severe geographic, age, and skills mismatches between eliminated and created positions.

Structural Unemployment's Cost

Global structural unemployment rose from 4.2% in 2025 to 6.8% in 2028. The hardest-hit group is mid-level white-collar workers aged 35-50, whose 10-20 years of experience corresponds to rapidly automating roles. Career transitions are far harder for them than for younger workers.

ILO Director-General Gilbert Houngbo said: "AI's impact on employment is not simple arithmetic. We need to focus on the people caught in transition."

Characteristics of New Employment

Three main features: Fragmentation — more roles exist as project-based and task-based rather than traditional full-time employment, with global freelancing rising from 36% to 44%. Human-machine collaboration — new roles require working with AI rather than competing against it. Cross-disciplinary fusion — new positions demand skills spanning multiple fields.

National Responses

Singapore's SkillsFuture program provides citizens $500 annually for lifelong learning. China's New Vocational Skills initiative focuses on AI tool training, AI system operations, and AI ethics governance. The EU is discussing an "AI Transition Fund" financed by levies on AI-deploying companies.