  We prove a spectral upper bound for the torsion function of symmetric stable
processes that holds for convex domains in $\mathbb{R}^d$. Our bound is
explicit and captures the correct order of growth in $d$, improving upon the
existing results of Giorgi and Smits (2010) and Biswas and L\H{o}rinczi (2019).
Along the way, we make progress towards a torsion analogue of Chen and Song's
(2005) two-sided eigenvalue estimates for subordinate Brownian motion.
