Content knowledge skills are relatively easy to learn, standardize and assess. That means they’re also easy to automate. As AI and education expert Stuart Elliott has pointed out, computer literacy capabilities surpassed 30% of workers in developed countries in 2016. By 2026, this number will be 60%. As for numeracy skills, including math and data analysis, computers will outperform nearly 100% of workers.
Let’s start with the labor side. Currently, the supply of available labor is extremely limited. Indeed, the unemployment rate is the lowest it has been in 66 years. That is really saying something. But with so few people out of work, it keeps getting harder for firms to find suitable employees. Job gains, while still decent, have been trending downward, in no small part because the number of job openings exceeds the number of people unemployed: The workers are just not there.
Artificial intelligence (AI) has generated increasing interest in “future of work” discussions in recent years as the technology has achieved superhuman performance in a range of valuable tasks, ranging from manufacturing to radiology to legal contracts. With that said, though, it has been difficult to get a specific read on AI’s implications on the labor market.
Demand for cyber expertise is skyrocketing across the U.S. as more organizations start prioritizing their digital security, but today there are only enough cybersecurity pros to fill about 60 percent of those jobs, according to a recent survey. And if you look beyond the U.S., the talent gap is even more stark.
New research suggests that the gender gap in so-called STEM careers -- science, technology, engineering and mathematics -- may be more due to nurture than to nature.
There’s a dissonance between available jobs and relevant degrees. CompTIA projects that 1.4 million new tech jobs will be created by 2020, many of them requiring people with specialized skills. However, only about 28,000 computer science majors are graduating every year, based on recent figures from Deloitte. Of those graduating with a STEM-related degree, only about 8% are earning a computer science degree.
The importance of artificial intelligence to national security is a rare area of consensus between America’s political right and left, and between Washington, D.C., and Silicon Valley. But disagreement is emerging around the issue of tech talent and the large number of Chinese students studying in the United States and getting jobs in the tech industry.
Black, Latinx, and Native American professionals are vastly underrepresented in tech fields, representing only 8 percent of the Silicon Valley tech workforce and 15 percent of the national computing workforce. Less than 30 percent are women, and less than 2 percent are women of color. There is little to no racial or gender diversity in the creation of new technologies, business ventures, or in investment, limiting our innovation potential.
Men make more than women at seven U.S. federal science agencies, but the reasons for these gender-based pay gaps differ by organization, according to new research involving Kaye Husbands Fealing of the Georgia Institute of Technology’s School of Public Policy.
Choosing a college major in 2019 can be a daunting task. In order to plan for the future, anyone considering a four-year degree should consider building a roadmap of their top preferred fields of study. One of the most difficult questions when researching colleges is choosing your preferred degree path, and the financial viability of a major is at the forefront of the decision for many college-bound Americans.