The uncanny ability of artificial intelligence ( AI ) software to imitate some crucial human behaviors has sparked debate about its impact on employment. Does the rise in computers ‘ innate intelligence result in high unemployment and high social costs?
Some writers, like John Cassidy of The New Yorker, recall the turbulent history of the textile industry in the early 19th century in the United Kingdom, when highly developed, highly trained manufacturing workers were replaced by complex, highly automated technology.
Numerous displaced employees resorted to aggressive behavior, including using job-eliminating devices. These rebels are still etched in the history books because of the negative social effects technology-driven unemployment has had on them, and they are known as” Luddites” after a leader of these activities.
As the Artificial job market shrinks, John Cassidy asks if we can perform better. To be sure, there are actual work loss in some professions. In reality, the reading of program code is undergoing changes that are influenced by AI.
By replacing low-skilled programmers with AI, Google and others are reducing the work required to write code by 20 %. This improvement in efficiency is not something new in application development.
I recall in the early stages of RCA’s online system development, when integrated circuit chips had a number of active transistor devices that needed to be laboriously connected to one another using straightforward design principles to conduct desired data processing operations.
Engineers wrote the connections on blueprints while the design process was so tedious that the surface of a place was used. We at RCA used for labor-intensive techniques to create some avionic techniques.
This did not last very long because the method was made possible by program. Immediately, hundreds and then thousands of interconnected circuit elements were used to create chips.
What then happened to the professionals and their replacements by the new technology? Some people entered the field of structure design, while others entered device design software development.
Because the corporation kept investing in training the engineering force to make it easier for people to transition into various jobs as the technology advanced, I don’t remember having a problem with employment.
Cards with billions of circuits are currently created using highly developed technology. There is a lack of device manufacturers who are skilled in managing the operation.
Despite this, there will be job fracture as AI software expand across a variety of business roles. Redundant business functions are perfect targets for AI applications.
People with these positions will in fact been replaced and required to be trained for positions that demand new knowledge. However, we have once again witnessed such a task development process.
What happened to the many thousands of people who used to work as administrative telephone users? As technologies advanced, new positions became available.
The straightforward but crucial response is that technology is only partially change human-perceived tasks. In the end, AI techniques are underwritten by human intellect. Federal education that prepares a workforce that is technologically advanced is the key to avoiding technology-driven unemployment.
Henry Kressel is a long-term private equity investment in technology companies as well as an innovator, author, and technician. He was a pioneer in the field of electronics and pioneered the development of modern electro-optic systems at RCA Laboratories.  ,