McKinsey Report Forecasts Massive Job Shifts in China by 2030 Due to Automation and AI

The McKinsey Global Institute recently released a report stating that, as technology advances, about 375 million people worldwide will need to re‑enter the job market, with China accounting for roughly 100 million of them. The report analyzes eleven broad industry categories and examines future job‑demand changes across different countries.

Demand for creative work, technical engineers, managers and socially interactive roles is expected to grow sharply because machines cannot yet replace humans in these areas, while jobs involving predictable physical activity are projected to decline noticeably.

According to basic market supply‑and‑demand dynamics, wages for shrinking occupations are likely to fall, and the educational requirements for many jobs will rise, with lower‑skill positions decreasing and higher‑skill roles expanding. The accompanying bar charts (sourced from McKinsey) compare China, Germany, India, Japan, Mexico and the United States.

In China, demand for creative personnel such as artists, designers, entertainment and media workers is projected to increase by 85%.

Technical experts, including computer engineers, are expected to see a 50% rise in demand.

Teacher positions (school, higher‑education and other education professionals) are forecast to grow by 119%.

Managerial and executive roles are projected to increase by 40%.

Construction‑related jobs (engineers, workers, installers, maintenance staff) are expected to grow by 9%.

Healthcare workers—including doctors, nurses, pharmacists, therapists and caregivers—are projected to see a 122% increase in demand.

Professional roles such as client managers, engineers, finance and legal experts, mathematicians, scientists and scholars are expected to grow by 26%.

Office‑support positions (IT staff, receptionists, clerks, some finance staff, administrative assistants) are forecast to rise by 14%.

Jobs that involve physical activity in predictable environments (e.g., machine installers, security staff, casino workers, dishwashers, cleaners, food‑prep workers) are expected to decline by 4%.

Conversely, social‑interaction jobs (restaurant staff, retail and online sales, personal therapists, entertainment servers, stylists, hotel and travel workers) are projected to grow by 36%.

Physical‑activity jobs in unpredictable environments (specialized mechanics, emergency responders, movers, agricultural workers, transport maintenance, building cleaners) are expected to increase by 12%.

Low‑income roles such as gardeners, plumbers, and caregivers are less likely to be automated because their skills are hard to replace and the cost of automation is relatively high.

By 2030, up to 100 million Chinese workers may need to find new employment. While automation will create new positions, the report estimates a net reduction of 16 million jobs in China compared with 2016, and globally 75 million to 375 million people will need to retrain.

McKinsey notes that up to 50% of jobs could be partially automated, with 60% of roles having about 30% of tasks performed by machines.

Conservatively, 15% of the global workforce could experience AI‑driven changes by 2030; an aggressive scenario raises this to 30% (approximately 800 million people).

The impact varies by country: developed nations with higher labor costs adopt robots faster, leading to higher replacement rates (e.g., the United States 23%, Germany 24%), while India’s rate is about 9% and China’s is roughly 16%.

China’s situation is nuanced: an aging population (17% over 65 by 2030) and a shift from agriculture to manufacturing and services create strong labor demand, yet automation will cause three major effects—overall job demand reduction (about 16 million fewer jobs by 2030), disappearance of certain occupations (mechanics and chefs could lose 3.6 million jobs), and the need for over 100 million people to acquire new skills, with 70‑120 million requiring a full career transition. If AI advances more rapidly, the number needing reskilling could rise to 236 million.

For those seeking to avoid being replaced by machines, the book "People Who Won’t Be Replaced by Machines" offers guidance; see the original link for details.

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