Doha: Marking a significant milestone in its digital transformation journey, the Ministry of Labour has integrated advanced Artificial Intelligence and dynamic reporting tools into the Labour Market Information System (LMIS). This strategic move reinforces the Ministry's leadership in adopting proactive, data-driven labour policies.
This upgrade represents a strategic leap that positions Qatar among leading nations utilizing advanced technology to support decision-making and anticipate the future of the labour market. The initiative is fully aligned with Qatar National Vision 2030 and the Sustainable Development Goals (SDGs).
The system development was carried out in close collaboration with the United Nations Economic and Social Commission for Western Asia (ESCWA), resulting in an enhanced LMIS that combines deep data analytics with AI-driven forecasting and analysis, as a first step towards transforming the platform into a fully fledged foresight tool to support long-term planning.
The system's competitive advantage lies in its integration of labour-market data with a central AI agent specifically designed to analyse labour policies and provide dynamic forecasts of job demand.
By embedding AI in the LMIS, the Ministry enables forward-looking planning and policymaking based on projected scenarios, strengthening the State's ability to adapt rapidly to local and global changes.
The new technical additions are built around a central intelligent agent that functions as a specialised labour-market analyst trained on labour data and Qatari policy frameworks.
The agent delivers analytical insights across three principal strategic lenses: assessing labour-market trends in the context of the Third National Development Strategy (NDS3), and anticipating future labour-market patterns and trajectories as an embedded data-scientist within the system.
The agent's role is not limited to centralised analysis: it has been integrated across the system's modules so that decision-makers can interact with it in real time to obtain tailored explanations and summaries by sectoral or demographic context, thereby accelerating informed decision-making with unprecedented efficiency.
Additionally, the update provides advanced dynamic reporting tools that allow users to create custom reports using filters and interactive visualisation options, alongside modern dashboards that facilitate deeper data exploration and the ability to download datasets and reports to support institutional planning.
Confirming the forward outlook, the Ministry is also developing demand-forecasting capabilities for occupations, a pivotal step to anticipate future labour needs and to ensure full alignment between national education and training programmes and market requirements, thereby improving the readiness of national talent. The system is currently accessible to designated stakeholders across ministries.
