Strong economies, strongman leaders: how China (and America’s) AI boom could create a new class of kowtowing elites

The market takeaway is not “liberalization reduces risk”; it is that forced liberalization can initially increase policy risk, capital controls, and elite capture. That tends to show up first in multiple compression and FX volatility, not in earnings revisions, so the cleanest expression is through sovereign-risk and EM-beta exposures rather than single-name stock picking.

A more interesting second-order effect is inside China-style state capitalism: if AI and other frontier sectors become patronage channels, the dispersion between state-aligned winners and independent private platforms should widen. That favors firms with government procurement, regulatory support, or strategic importance, while punishing businesses that depend on open capital allocation and low political friction. The implication is a steeper “policy overhang” discount for China internet and reform-sensitive EM holdings over the next 6-18 months.

The contrarian point is that consensus often treats economic opening as a de-risking event, but the transition period can be the most repressive phase because incumbents use coercion to protect coalition stability. The thesis would be falsified by credible institutional reforms, narrower elite fragmentation, or measurable easing in repression rather than just market-friendly rhetoric. Absent that, this is a months-long risk-premium story, not a one-day trading catalyst.