Human Capital Formation, Labor Market Transformation, and Wage Dynamics in AI-Semiconductor Industrial Zones: Predictive Economic Modeling for the Pax Silica Economic Security Zone

The Pax Silica Economic Security Zone, a 1,620-hectare artificial intelligence (AI) and semiconductor hub in New Clark City, Capas, Tarlac, is the flagship investment of a 23-nation coalition formed in December 2025 to secure supply chains for AI, semiconductors, and critical minerals. Projected to attract approximately USD 10 billion and to generate roughly 190,000 skilled jobs, the zone poses a fundamental question: can the Philippine labor force, concentrated in the lower value-added assembly, testing, and packaging (ATP) segment, supply the competencies required to move up the semiconductor value chain? This study develops a predictive economic model of human capital formation, labor market restructuring, and wage dynamics using exclusively publicly available data supplemented by calibrated synthetic microdata. Grounded in Becker's human capital theory, dual labor market theory, and skill-biased technological change, it integrates Mincer earnings equations, difference-in-differences (DiD) estimation, skills gap analysis, cost-benefit and rate-of-return analysis, transition-cost estimation, and comparative case studies of Taiwan, South Korea, Malaysia, and India. The corrected findings indicate a skills gap averaging 30.9% across occupations in Tarlac that is concentrated in high-skill engineering roles; a conditional semiconductor wage premium of 51.7%; social internal rates of return of 19.9% for the engineering pathway and 58.6% for short-cycle technical-vocational training, all clearing the 9% public-investment hurdle; and an agricultural transition cost of approximately PHP 174,190 per displaced worker. The cross-country DiD estimate of restructuring is correctly signed but not statistically significant under small-cluster inference (p = 0.124), and the Penang model of incremental, training-led upgrading emerges as the most apt template. The study concludes that human capital investment for the zone is economically justified but conditional on labor demand, distributionally consequential, and easily overstated, and that skills formation must be sequenced ahead of physical capacity.

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Zenodo (CERN European Organization for Nuclear Research)
Published
2026-09-09
DOI
https://doi.org/10.5281/zenodo.22675834
Primary Topic
Economic and Technological Innovation
Type
article
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Human Capital Formation, Labor Market Transformation, and Wage Dynamics in AI-Semiconductor Industrial Zones: Predictive Economic Modeling for the Pax Silica Economic Security Zone

Laszlo Pokorny
Zenodo (CERN European Organization for Nuclear Research)
Economic and Technological Innovation
article

Human Capital Formation, Labor Market Transformation, and Wage Dynamics in AI-Semiconductor Industrial Zones: Predictive Economic Modeling for the Pax Silica Economic Security Zone

Laszlo Pokorny
article en

Abstract

The Pax Silica Economic Security Zone, a 1,620-hectare artificial intelligence (AI) and semiconductor hub in New Clark City, Capas, Tarlac, is the flagship investment of a 23-nation coalition formed in December 2025 to secure supply chains for AI, semiconductors, and critical minerals. Projected to attract approximately USD 10 billion and to generate roughly 190,000 skilled jobs, the zone poses a fundamental question: can the Philippine labor force, concentrated in the lower value-added assembly, testing, and packaging (ATP) segment, supply the competencies required to move up the semiconductor value chain? This study develops a predictive economic model of human capital formation, labor market restructuring, and wage dynamics using exclusively publicly available data supplemented by calibrated synthetic microdata. Grounded in Becker's human capital theory, dual labor market theory, and skill-biased technological change, it integrates Mincer earnings equations, difference-in-differences (DiD) estimation, skills gap analysis, cost-benefit and rate-of-return analysis, transition-cost estimation, and comparative case studies of Taiwan, South Korea, Malaysia, and India. The corrected findings indicate a skills gap averaging 30.9% across occupations in Tarlac that is concentrated in high-skill engineering roles; a conditional semiconductor wage premium of 51.7%; social internal rates of return of 19.9% for the engineering pathway and 58.6% for short-cycle technical-vocational training, all clearing the 9% public-investment hurdle; and an agricultural transition cost of approximately PHP 174,190 per displaced worker. The cross-country DiD estimate of restructuring is correctly signed but not statistically significant under small-cluster inference (p = 0.124), and the Penang model of incremental, training-led upgrading emerges as the most apt template. The study concludes that human capital investment for the zone is economically justified but conditional on labor demand, distributionally consequential, and easily overstated, and that skills formation must be sequenced ahead of physical capacity.

Zenodo (CERN European Organization for Nuclear Research)
Rutgers, The State University of New Jersey (US), Fujitsu (United Kingdom) (GB), Kean University (US), New Jersey City University (US)
Decent work and economic growth
Openalex Percentile: Top 5%
Economic and Technological Innovation
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