When artificial intelligence (AI) was developed to emulate human intelligence, scientists hoped it would be a blockbuster technology. Instead, the inability of end users to deal with its complexity and expensiveness and their lack of understanding of its potential caused these expectations to dwindle.
These factors slowed down the adoption rates of AI, but not the efforts of researchers. After a couple of decades, AI, now in the form of applications, is slowly making its way out of laboratories into the mainstream market.