AI reshapes investment systems through algorithmic capital reallocation
Original framing: “How AI is disrupting investment” — Financial Times
AI models in finance are often trained on biased historical data, which can perpetuate systemic inequalities. Scientific scrutiny is needed to assess the accuracy, fairness, and transparency of these models in real-world applications.
AI-driven investment is not a neutral evolution but a systemic reconfiguration that reflects and reinforces existing power structures.
By integrating diverse financial knowledge systems, promoting transparency, and involving marginalized voices, we can redirect AI toward more equitable and sustainable outcomes. Historical parallels and cross-cultural insights reveal that finance is not just about numbers but about values. The trickster's role here is to disrupt the illusion of neutrality and reveal the hidden assumptions in algorithmic models. Through participatory governance and ethical design, AI can become a tool for financial democratization rather than exclusion.