Now that nearly every company is considering how artificial intelligence (AI) applications can positively impact their businesses, they are on the hunt for professionals to help them make their vision a reality. According to research done by Glassdoor, data scientists have the No. 1 job in the United States. The survey looked at salary, job satisfaction and the number of job openings. If you have recent experience looking for AI specialists to join your team, it’s quite clear that we’re facing an AI skills crisis. In order to move AI projects from ideation into implementation, companies will need to determine how to close the AI skills gap so they have experts on their team to get the job done.
Factors that contribute to the AI talent shortage One report suggested there about 300,000 AI professionals worldwide, but millions of roles available. While these are speculative figures, the competitive salaries and benefits packages and the aggressive recruiting tactics rolled out by firms to recruit AI talent would suggest the supply of AI talent is nowhere near matching up to the demand.
As the democratization of AI and deep learning applications expands—possible not just for tech giants but now viable for small- and medium-sized businesses—the demand for AI professionals to do the work has ballooned as well. The C-suite and corporate management’s excitement for AI’s various applications is building and then once they have bought into the concept (which is happening much more rapidly), they want to make it real right away.
Source: https://www.forbes.com/sites/bernardmarr/2018/06/25/the-ai-skills-crisis-and-how-to-close-the-gap/#6ede3b4631f3The US companies are raising a fund of over $1 billion for the recruitment of Artificial Intelligence (AI) scientists by 2020. These major job positions will have an average annual salary of $314,000, due to the shortage of global talent.
The question is
Why AI skills are sought after, What causes the gap between supply and demand?