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Arpit Gupta suggests that if turbulence can be understood, it may be possible to formalize, solve, and predict a wide range of human economic decisions—such as consumption, saving, and investment.
According to Gupta, economics currently resists artificial intelligence because the field is composed of conceptual narratives rather than concrete laws, but with greater precision, it could become more amenable to technological advancement.
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Gupta has previously examined challenges across sectors, citing a 2014 Bain report describing rising costs exceeding revenues at Syracuse University. He has also reported that a pure SPY portfolio returned 21 percent in the year ending June 30. These prior observations reflect Gupta’s focus on both institutional budgets and investment performance.