BRIDGING THE INFORMATION GAP: USING AI-POWERED WORKER-SIDE PLATFORMS TO IMPROVE WAGE BARGAINING AND EMPLOYMENT SECURITY FOR AGRI-WORKERS IN NORTHWEST CAMEROON

Abstract

This study examined the effects of AI-powered worker-side platforms on wage bargaining power and employment security among agricultural workers in Northwest Cameroon. A mixed-methods design was employed, combining quantitative data from 355 agricultural workers with qualitative data from key informant interviews (n=20) and focus group discussions (10 groups, 8-12 participants per group). Quantitative data were analyzed using descriptive statistics, independent samples t-tests, and multiple regression analysis, while qualitative data were analyzed using thematic content analysis. Platform utilization demonstrated a significant positive association with wage bargaining power (M_users=7.15 vs. M_non-users=3.78; t=13.47, p<0.001; β=0.382, p<0.001), with 68.4% of users successfully securing wage increases compared to 31.6% of non-users. Platform utilization was also significantly associated with greater employment security (M_users=7.03 vs. M_non-users=3.86; t=14.21, p<0.001; β=0.405, p<0.001), with 42.3% accessing social protections compared to 18.7% of non-users. The study recommends scaling platform access through feature phone compatibility and integrating platforms with employment protection mechanisms. The findings contribute empirical evidence on digital interventions addressing information asymmetries in agricultural labor markets.