The limits of AI in finance

Finance is being transformed by AI. Like past technological revolutions, it is likely to complement — not replace — the people who make the system run.

Almost every sector faces disruption from the rise of artificial intelligence, which has prompted two major fears. The first is substitution: the concern over which jobs will remain once machines and algorithms can perform most tasks. The second is AI’s judgment — an existential fear reminiscent of “The Matrix,” where an advanced AI model might determine that humans are more harmful than beneficial to global progress. These anxieties have shaped public debate across industries, and the financial system is no exception.

In our 2024 paper, “The EPOCH of AI,” we take a different approach to the question of labor market substitution and, implicitly, also dispel the fear of AI’s judgement. This approach — as we highlight in the paper — is complementary to a very large existing literature, but it is distinct in one important dimension: instead of analyzing which tasks and jobs the current AI technology can perform, we ask what human capabilities AI could never suitably substitute for.

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Authors

  • Isabella Loaiza is a postdoctoral researcher at the MIT Sloan School of Management. Her research explores AI’s impact on work, workers and organizational talent practices, with a human-centered approach that emphasizes human-AI complementarities. She holds a PhD in media, arts, and sciences from MIT.

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  • Roberto Rigobon is the Society of Sloan Fellows Professor of Management and a professor of applied economics at the MIT Sloan School of Management. He is also a research associate of the National Bureau of Economic Research, and a visiting professor at IESA.

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