Agentic AI in commerce relies on systemic data integrity and ethical design
Original framing: “Agentic commerce runs on truth and context” — MIT Technology Review
The rise of agentic AI mirrors the historical shift from mechanization to automation in the industrial era. Just as automation reshaped labor in the 19th and 20th centuries, agentic AI has the potential to redefine digital labor and consumer agency, often without addressing the displacement of human roles.
Agentic AI in commerce is not just a technological innovation but a systemic shift that requires careful ethical and cultural consideration.
Drawing from historical patterns of automation, cross-cultural perspectives on decision-making, and the insights of marginalized communities, it becomes clear that the success of these systems depends on inclusive design and participatory governance. Indigenous knowledge systems, scientific rigor, and artistic sensibilities all offer valuable frameworks for ensuring that agentic AI supports equitable and meaningful consumer experiences. Without these systemic corrections, the technology risks replicating existing inequalities rather than addressing them.