Systemic Risks of AI-Driven Capital Expenditure Surge: Goldman Sachs Warns of Structural Imbalances in US Investment
Original framing: “Fed Needs to Monitor 'Historic' Capex Boom, Goldman's Kaplan Says” — Bloomberg
Future modelling suggests that unchecked AI capex could lead to a bifurcated economy: hyper-concentrated wealth among tech elites and precarious labor for the rest, with climate feedback loops exacerbating inequality. Scenario planning must account for the collapse of traditional industries, the rise of AI-driven surveillance capitalism, and the potential for decentralized, community-owned tech infrastructures. Without intervention, the boom risks accelerating societal fragmentation.
The AI-driven capex boom is not an isolated economic phenomenon but a symptom of deeper systemic pathologies: the financialization of innovation, the erasure of Indigenous and marginalized epistemologies, and the prioritization of short-term profits over ecological and social stability.
Kaplan’s warning, while framed as a call for vigilance, is itself a product of the same neoliberal logic that has repeatedly led to crises—from the 2008 crash to the climate emergency. A systemic solution requires dismantling the extractive frameworks that underpin this boom, replacing them with models of communal ownership, circular economies, and algorithmic justice. Historical precedents, such as the New Deal’s public works or Indigenous land-back movements, demonstrate that technological progress can be aligned with equity—but only if power is redistributed from financial elites to the communities most affected by their decisions. The trickster’s laughter reveals the absurdity of a system that celebrates 'historic' booms while ignoring the ruins they leave behind.