Chinese Firms See Major Productivity Gains From AI, ILO Finds

Chinese Firms See Major Productivity Gains From AI, ILO Finds

Artificial intelligence is delivering substantial productivity improvements across Chinese enterprises, but the technology's rapid adoption is creating significant challenges around workforce skills and income stability, according to new research from the International Labour Organization.

The ILO study, first reported in September 2026, examined AI adoption patterns through in-depth interviews with 21 enterprises and a survey of 1,591 professionals across manufacturing, finance, business services, construction, education, media, and travel sectors. The firms ranged from an eight-person startup to a conglomerate with 270,000 employees.

Why it matters

This research provides concrete evidence of AI's real-world impact in one of the world's largest economies, revealing a pattern that may preview challenges facing enterprises globally: significant efficiency gains coupled with workforce disruption that requires proactive policy responses rather than reactive measures.

Productivity jumps where measurement exists

Firms tracking AI's impact reported dramatic improvements in specific operations. One insurance company saw 300 customer-service employees increase their daily issue resolution from 6,000 to 15,000 cases. Another insurance group cut recruitment cycle times from 30 days to 13 days—a 57 percent reduction. A smart manufacturing facility reported production efficiency gains of 30 percent.

However, systematic measurement remains rare. Most enterprises in the study lack frameworks for assessing AI's broader impact, particularly on job quality, working conditions, and how tasks are distributed among workers. The productivity figures are self-reported and have not been independently verified.

Hybrid workflows dominate over full automation

Despite concerns about wholesale job replacement, the research found that Chinese enterprises are predominantly integrating AI into hybrid workflows where human judgment and oversight remain central. The technology is being applied primarily to repetitive and data-intensive tasks including document processing, customer query handling, resume screening, and data collection.

This pattern suggests displacement pressures will concentrate in routine clerical, administrative, and customer-service roles rather than across all job categories.

Worker sentiment mixed on AI's trajectory

Among surveyed professionals, 56 percent view AI adoption as inevitable, while 47 percent believe the technology creates more jobs than it eliminates—a notably more optimistic outlook than surveys in many OECD countries have found. Yet 39 percent expect AI to reduce their income, highlighting persistent economic anxiety even among those who see net job creation.

Firms reported significant implementation challenges including employee resistance, skills deficiencies, AI output quality issues, data security concerns, regulatory complexity, and integration difficulties with existing systems. One education technology company identified a pronounced age divide in AI capabilities among employees over 40.

Policy recommendations focus on skills and transitions

Ekkehard Ernst of the ILO Research and Statistics Department, who prepared the brief with researchers at Renmin University of China, emphasized that skills and management capacity represent the primary bottleneck rather than technology itself.

The research identifies four priority policy areas: strengthening AI skills and lifelong learning particularly for mid-career and older workers; supporting transitions toward higher-value tasks; developing better measurement frameworks for AI's effects on productivity, job quality, and working conditions; and helping smaller firms access AI through shared platforms, training, and affordable services.

The study notes that the 21 enterprises were purposively selected, meaning firm-level findings cannot be statistically generalized to all Chinese enterprises. The research was detailed in the ILO Research Brief "Artificial Intelligence Adoption in Chinese Enterprises: Productivity Effects, Workforce Implications, and Policy Challenges."