SI-010-01 :
National Talent Demand & Forecasting System 

Situation

Thailand lacks a unified, real-time system to identify and forecast national talent demand.

Workforce planning is fragmented across ministries, educational institutions, and industry bodies, with limited data integration and weak forward-looking capability.

As a result, talent supply is largely misaligned with actual market needs—particularly in emerging sectors such as AI, advanced manufacturing, and clean energy.

Existing labor market data is often backward-looking, slow to update, and insufficient for strategic decision-making. 

Shift

Talent systems must evolve from reactive, retrospective workforce planning to predictive, data-driven, and continuously updated demand intelligence systems.

Instead of relying on static projections, governments must build dynamic forecasting engines that integrate real-time data from industry, education, and global trends.

Talent demand must be treated as a strategic signal that directly shapes education, training, and workforce deployment systems. 

Advantage

Thailand has a relatively structured industrial base and established sectoral clusters (e.g., EEC, automotive, electronics, tourism) that can provide clear and continuous demand signals.

Growing digital adoption and data infrastructure create the foundation for building centralized talent intelligence platforms.

The country’s integration within ASEAN and global value chains enables access to external benchmarks and demand trends. 

Additional Structural Advantage

Strong private sector participation—especially from large conglomerates—can provide high-quality, forward-looking workforce data if properly integrated into the system.
Government agencies already collect large volumes of labor, education, and economic data, which can be unified into a single intelligence layer.
Thailand’s policy momentum around digital transformation and smart governance supports the development of advanced forecasting capabilities.

Implication

Without a national talent demand and forecasting system, Thailand will continue to produce skills that are misaligned with economic needs, exacerbating talent shortages in critical sectors while oversupplying low-demand fields.

This misalignment will slow down New S-Curve development, reduce productivity gains, and weaken the country’s ability to attract high-value investment.

Conversely, a robust forecasting system enables precise talent planning, faster industry transformation, and a stronger alignment between human capital and economic strategy. 

Action Layer