AI is transforming the economy — understanding its impact requires both data and imagination

Daniel Björkegren in Nature:

How will artificial intelligence reshape the global economy? Some economists predict only a small boost — around a 0.9% increase in gross domestic product over the next ten years. Others foresee a revolution that might add between US$17 trillion and $26 trillion to annual global economic output and automate up to half of today’s jobs by 2045. But even before the full impacts materialize, beliefs about our AI future affect the economy today — steering young people’s career choices, guiding government policy and driving vast investment flows into semiconductors and other components of data centres.

Given the high stakes, many researchers and policymakers are increasingly attempting to precisely quantify the causal impact of AI through natural experiments and randomized controlled trials. In such studies, one group gains access to an AI tool while another continues under normal conditions; other factors are held fixed. Researchers can then analyse outcomes such as productivity, satisfaction and learning.

Yet, when applied to AI, this type of evidence faces two challenges.

More here.

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