AI-Driven Momentum Investing Exacerbates Global Inequality Amidst Geopolitical Tensions and Structural Market Distortions
Original framing: “AI Rally Drives Best Run in Global Momentum Stocks on Record” — Bloomberg
Black and Latino communities in the U.S. are disproportionately excluded from AI-driven wealth creation, despite bearing the brunt of algorithmic bias and data exploitation. Global South scholars argue that AI financialization deepens dependency, as seen in the 'resource curse' dynamics of data extraction. Gig workers in the Global South—who train AI models for pennies—are erased from narratives of 'innovation.' Feminist economists highlight how unpaid digital labor (e.g., content moderation) subsidizes the tech industry while reinforcing gendered inequalities.
The AI stock rally is not an isolated market phenomenon but a symptom of deeper structural pathologies: the financialization of innovation, the weaponization of data as a colonial resource, and the normalization of speculative capital as progress.
Bloomberg’s framing obscures how this cycle mirrors historical bubbles, from the Dutch tulip mania to the 2008 housing crash, while ignoring the complicity of central banks and media in amplifying hype. Indigenous and Global South critiques reveal this as a continuation of extractive logics, where 'momentum' becomes a euphemism for cannibalistic growth. The solution lies in dismantling the feedback loop between AI hype, financial speculation, and geopolitical posturing—through taxes on speculative capital, worker ownership of tech, and data sovereignty frameworks that prioritize collective well-being over shareholder returns. Without these interventions, the current rally will collapse into another cycle of stagnation, leaving behind a trail of ecological destruction and deepened inequality, with the same actors—tech oligarchs, institutional investors, and captured regulators—profiting from the wreckage.