Analysts of the World Economic Forum forecast that the development of AI technologies may make 5 million people from developed countries unemployed in the next 5 years. At the same time, the AI field experiences the lack of specialists. Retraining and reprofiling of employees will help to solve the problem.
Labor market and AI: expert forecasts
Experts believe that AI will help to create more workplaces in the world rather than take them away. Analysts forecast that automation will touch upon 1.8 million work positions but 2.3 million new workplaces will appear by 2020. As a result, additional 500 thousand people will have a possibility to work.
Predicting the consequences of work process automation with absolute accuracy is impossible. However, current rates of implementing AI in the production and everyday life signify that some specialties will change. Partial and full automation may affect such professions as call center manager, cleaner, courier, warehouse, shop assistant.
At the same time, the demand for such specialties as big data analyst, architect, and archeologist will increase.
The reduction and emergence of workplaces will be distributed among industries unevenly.
Gartner's Head of Research Peter Sondergaard states that many companies have problems finding an IT specialist with the appropriate qualification level. Especially this relates to cases when cyber security and AI experts are wanted.
AI will not replace IT teams
In the near future, AI will turn into a serious assistant to IT specialists. CEO of AI firm Unsupervised Noah Horton believes that AI will learn to realize scenarios that will help to solve complex tasks in the field of IT and data processing. This relates to essential tasks and global goals, which is especially important in case of the shortage of specialists in the team.
CEO of Awake Security (the company develops cyber security systems) Rahul Kashyap thinks that AI will not replace developers. The expert believes that the success of companies that want to be competitive in the modern market lies in balance. Companies that will be adopting AI technologies and harmoniously combine them with human labor will achieve significant success.
The global leader in the field of innovations RELX Group made a research showing that modern companies consider machine learning with no aim to replace the personnel with robots. Executives are mainly interested how to improve human performance and solve business problems using AI solutions.
Shortage of AI and ML specialists
Technological race and the growing interest of companies in new AI-based solutions provoke demand for AI specialists. Even now, experts in neural networks and AI are scarce. Results of the research by Element AI startup show that just 22,000people could develop AI systems throughout the world in 2018. Besides, 19,000of them were already engaged in some projects and were not looking for a job.
Specialists of this field are so highly valued that can earn millions of dollars. Back in 2016, the chief specialist of OpenAI made $1.9 million per year. Apple, Google, Amazon, and other tech giants need specialists to develop voice and face recognition software, smart assistants. Even having small experience, such employees can expect an annual salary of $300,000.
A real way out is to train staff
Training can help to eliminate the deficiency of personnel in the field of artificial intelligence: taking into account the modern development of education, the demand for AI specialists will be satisfied within 4 years. Of course, on condition that both the government and higher education institutions will allocate funds to increase the number of graduates.
However, most of companies that do not want to lag behind competitors need AI specialists against the clock. For this reason, such corporations as Intel or Google train specialists on their own: they are implementing inner educational AI programs.
CTO of LexisNexis Legal and Professional Jeff Reihl believes that other companies should use the same strategy. The expert believes that the shortage of qualified developers in the AI market can last for an indefinite period and take years of time. Besides, recruitment of new specialists involves huge expenditures on salaries, bonuses, and other expenses that not every company can afford. In such a way, personnel training may become a decent way out.
Jeff Reihl says, “Firms that grow their personnel reserve will get the benefit of loyal environment for the retention and recruitment of talented specialists.”
Support of open-source communities will help to develop AI
Many modern technologies and projects have been growing as open-source, artificial intelligence and algorithms of machine learning are not an exception. Standalone developers (Glow, sg2im, Autokeras) and big companies such as Google and Yandex upload modern machine learning projects with open source code.
CTO of Microsoft Azure Mark Russinovich thinks that open source is the main driver of AI and ML. Research director of the Linux Foundation Ibrahim Haddad believes that the leading companies in the field of artificial intelligence will soon move their projects to open source and this step will enable to encourage the development of technologies. He also thinks that corporations that collaborate with profile communities will receive a significant competitive edge over the rest of companies and will be able to advance their developments.
The expert states, “Openness of AI developments will allow companies and communitiesto coordinate a number of critically important moments and start the creation of a complex open-source stack in the field of AI, machine and deep learning.”
For example, Yandex has an open-source machine learning technique called CatBoost. The company hopes to contribute to the development of the technology and gain assistance of specialists in this direction.
The survey conducted by Salesforce shows that 62% of HR specialists think that AI will fundamentally change the labor market by 2022. This relates to not only the disappearance of some habitual professions but also the emergence of new ones. Even now, additional workplaces appear for AI and ML specialists, the demand for whom is so big that their salaries equal to millions.
Companies can reduce the shortage of personnel in the field of AI and ML by training specialists. Collaboration with open-source communities will speed up and enhance developments in the field of AI.