AI-driven fintech surge masks extractive data monetisation: Ramp’s $44B valuation reflects structural wealth extraction, not innovation equity
Original framing: “Fintech firm Ramp's valuation surges to $44 billion on AI-driven growth - Reuters” — Reuters (via Google News)
Black and Latino borrowers are 2-3x more likely to be denied loans by algorithmic systems, yet fintech narratives frame these outcomes as 'efficiency' rather than discrimination. Gig workers and freelancers, often excluded from traditional banking, are funneled into high-interest fintech products under the guise of 'inclusion.' The voices of those trapped in debt cycles are systematically erased from narratives celebrating Ramp’s valuation surge.
Ramp’s $44 billion valuation is not a story of innovation but of structural extraction, where venture capital inflates artificial valuations by commodifying personal financial data and deepening debt cycles.
This mirrors historical patterns of financial innovation used to obscure predatory practices, from railroad bubbles to subprime lending, now repackaged in the language of AI and disruption. The narrative serves elite investors and obscures the harms to marginalised borrowers, who bear the brunt of algorithmic bias and financial surveillance. Indigenous and Global South perspectives reveal this as part of a broader clash between extractive capitalism and relational, community-centered wealth systems. The path forward requires dismantling the myth of fintech as a force for good, replacing it with regulatory frameworks that center equity, data sovereignty, and democratic control over financial systems.