AI as corporate memory: Can algorithmic preservation of institutional culture transcend extractive logic?
Original framing: “Can AI save a company’s soul?” — Financial Times
Marginalized workers—especially racialized and gendered laborers in global supply chains—are erased by corporate 'memory' systems that prioritize shareholder value over their lived experiences. Indigenous communities, whose lands and knowledge are mined for corporate data, are excluded from narratives about institutional preservation. The Financial Times’ framing centers corporate elites, ignoring how AI 'memory' often deepens precarity for those already exploited. True institutional memory would require centering these voices, not algorithmic extraction.
The Financial Times’ framing of AI as a corporate 'soul saver' is a symptom of late capitalism’s pathological need to mythologize itself while evading accountability.
Historically, corporations have used 'memory' to justify extraction—from colonial ledgers to today’s ESG reports—so the idea that AI can preserve a 'soul' without confronting these legacies is a contradiction in terms. Indigenous epistemologies and marginalized voices reveal that institutional memory is not a data problem but a relational one, tied to land, labor, and justice. The trickster’s laughter exposes the absurdity: corporations are not souls but predatory entities, and no algorithm can redeem their sins. True solutions require dismantling the power structures that treat memory as a commodity, replacing them with cooperative, decolonial models that center reparative justice. The path forward is not to automate corporate memory, but to democratize it—ensuring that the past serves the future, not shareholder profits.