According to McKinsey's research deep learning techniques such as feed forward neural networks, recurrent neural networks, and convolutional neural networks account for about 40% of the annual value potentially created by all analytics techniques. They estimate that these specific pieces of technology alone can create between $3.5 trillion and $5.8 trillion in value annually.

This PwC study predicts that as much as 38% of jobs in the United States will lost to automation by the 2030s. In order for American workers to mitigate the coming disruption, they must receive more higher education and improve their performance scores.

Deloitte estimates that 50% of today's jobs worldwide will be serviced by artificial intelligence in 2050. Those jobs eliminated are more likely to be low-skilled labor and even white collar professions (i.e. accounting, law, financial advisors)

In this study, students being lectured are 1.5x more likely to fail than students in classes with more stimulating, active learning methods. Conventional classrooms, however, continue to be driven by the lecture method because one-to-one instruction has been too expensive. Instructors do not have the time or resources to personalize every lesson or drill deep into topics where each student is struggling.