This paper studies the principal components estimator for high-dimensional approximate factor models, where the factor loading matrix scales sublinearly with the number of cross-sectional units. The authors show the estimator maintains consistency and asymptotic normality even when factor loadings are weak, complementing existing results that require stronger factors. A...