It is interesting that some time ago treasury Secretary Steve Mnuchin in his interview to Axis  said that "AI taking human jobs is 50-100 years away".
AI means different things to different people. Mnuchin might think that moment about really intelligent robots, who can pass the Turing test as "a thinking machine".
We are not there yet and who knows when will be there.
A more pragmatic approach is using AI components to optimize human-computer interaction and accelerate knowledge sharing and decision making processes.
In reality, AI is taking human jobs today. Starting from car making to car driving and more to finance management.
See the MoneyStuff article by Bloomberg .
Whenever a task is well understood and described, it can be outsourced.
First to overseas, then to AI-supported technologies.
But, when a new technology closes one job, it opens new doors.
Hundreds of startups are raising billions of dollars to employ AI in every area of business and consumer life.
Nothing else is growing so quickly with the demand for new skills and talents.
Internet Technology University (ITU) participates in this development with patents, publications and consulting work [3-8].
ITU students start with online study, then participate in consulting projects and become professionals in this high-demand area.
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Internet Technology University is
changing formula of education
 directly connecting students and jobs, helping Subject Matter Experts to share their unique knowledge which is in high demand today.
The main instrument in developing AI applications is Java and here is why:
- 99% of Hardware Platforms, computers, mobile, and wearable run Java
- 90% of Big Data and Business Intelligence Applications are Java-based
- 97% of Enterprise Desktops Run Java
- #1 Choice for Developers and #1 Development Platform
- 3 Billion Mobile Phones Run Java
- 5 Billion Java Cards in Use and 125 million TV devices run Java
- 100% Java-based IBM Watson program wins over humans in Jeopardy, Chess, and Go games
3. Knowledge-Driven Architecture | US Patent | Yefim Zhuk | Driving applications with business scenarios
4. Adaptive Mobile Robot System | US Patent | Yefim Zhuk | Integrating software and knowledge engineering with robotic technologies
5. Collaborative security and decision making in service-oriented environment | US and 15 European countries, Patent| Yefim Zhuk/Boeing | Turning a beautiful idea of collaborative decision into a system
6. Rules Collector System and Method | US Patent | Yefim Zhuk/Boeing | Formalizing expert knowledge into rules, which can be used for solving the next problem in the expert-computer brainstorming
7. Distributed Active Knowledge and Process | US Patent | Yefim Zhuk/Yahoo | Collaborative data/services
Software Semantic Evolution: SOA and Microservices and the Next Step