The J-curve of artificial intelligence
Digital technologies, and at their forefront artificial intelligence, are triggering fundamental shifts in society, politics, education, economy, and other fundamental aspects of life. These changes provide opportunities for unprecedented growth across different sectors of the economy. But at the same time, they entail challenges that organizations must overcome before they can tap into their full potential.
In a recent talk at an online conference organized by Stanford Human-Centered Artificial Intelligence (HAI), Stanford professor Erik Brynjolfsson discussed some of these opportunities and challenges.
Brynjolfsson, who directs Stanford’s Digital Economy Lab, believes that in the coming decade, the use of artificial intelligence will be much more widespread than it is today. But its adoption will also face a period of lull, also known as the J-curve.
“There’s a growing gap between what the technology is capable of and what it is already doing versus how we are responding to that,” Brynjolfsson says. “And that’s where a lot of our society’s biggest challenges and problems and some of our biggest opportunities lie.”
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