Even rudimentary systems, carefully limited in scope and domain, can collect, codify and correct knowledge. As the amount of human labor involved decreases and the ability of computers to construct bodies of knowledge increases, the work processes build on statistical methods and neuro networking models. Practical applications which will continue to make computer systems easier to access, interface with and use will use AI. Automated tutors, smart workplaces like design organizations and factories that improve themselves, as well as more routine and data intensive commercial, industrial and scientific are areas AI will continue to grow. This will impact the workplace by making workers more independent and collaborative (Dean, 1997).

Successful organizations use technologies to improve both organizational and employee performance. The business need advances the integration of new technologies. An area of risk for most organizations is too much focus on the technologies and not enough focus on the application and integration of those technology into the business process. Real benefits come to the organization when processes are improved, amplified or scaled because the technology supports the business need. The focus needs to be on the business solution, not on the technologies.

This integration of new technologies has far reaching implications in developing countries as well countries like Thailand, China and India because of the lack of social security systems. Jobs with low or medium qualifications will certainly be replaced or eliminated. Although about 47% of US workers are at risk, about 70% of workers are at risk in Thailand and India. Replacing humans with robots makes economic sense because the cost of human labor is higher than robots. Chinese companies are already replacing 90% of human workers with robots and Mexico may follow suit by 2025 (Gerlind Wisskirchen, 2017, p. 16). There will be little or no need for workers that do simple tasks or repetitive work.

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