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How AI deregulation creates opportunities for sector-specific governance
In an era where more than one-third of CEOs expect geopolitical disruption and the shifting economic environment to be among the top disruptive forces in the next 12 months, the White House’s new America’s AI Action Plan marks a pivotal moment.
The plan’s approach toward deregulation reflects a sophisticated understanding of AI’s diverse applications across industries. Given the considerable uncertainty in the current environment, uniform federal regulations may not sufficiently address the timely issues at hand.
Exploring the boundary conditions will make the previous statement very evident. To support this boundary condition test, let us establish a thought exercise that assumes the White House passed a stringent regulatory framework for artificial intelligence.
For companies that carry significant inherent risk (healthcare, defense, banking), there would have been scenarios where companies operated in a way that complied with said regulatory framework but passed the cost along to a third party. This regulatory exploitation has surfaced many times in the past; the subprime mortgage securitization of the 2000s that led to the housing crisis serves as an example. In this case, the regulation did not provide enough coverage.
Let us explore the other boundary: one where this fictitious regulation provided too stringent of a framework for a company that could not capitalize on an opportunity on the global stage, leaving that company at a competitive disadvantage.