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Market Access Under Intermediary Dependency: AI Coordination for Low-Income Producers

Market Access Under Intermediary Dependency: AI Coordination for Low-Income Producers

Livelihoods & Market Access Research

Skilled producers in low-income settings often earn a fraction of the final sale price, because reaching buyers means passing through layers of intermediaries — and no amount of product quality changes that. This research asks whether AI-mediated coordination can open more direct, durable paths to market, and how to tell whether such an intervention actually improves livelihoods rather than simply adding another layer.

Multi-AgentAI for DevelopmentMarket AccessField DeploymentEvaluation

The crisis

  • Skilled producers in low-income settings are often locked into long intermediary chains that capture most of the final sale price.
  • Without direct, durable demand channels, household income stays volatile even when the quality of what is produced is high.
  • The gap is rarely a lack of skill — it is a lack of fair market access and reliable income pathways.
  • Informal and intermediated work correlates with persistent earnings gaps, so how technology is introduced into these chains carries real economic stakes.

About this research

Producers in low-income settings frequently face persistent market-access gaps that are structural — enforced by long intermediary chains rather than by any deficit in skill or output quality. This thread studies whether technology can open more direct paths to market in that setting and, just as importantly, how to measure whether an intervention genuinely improves livelihoods rather than merely shifting where value is captured. It draws on agentic and multi-agent coordination, field deployment, and careful real-world evaluation, with active field partnerships as its testbed. Faculty-advised.