The question of coexistence
Artificial intelligence (AI) is a term used to describe “intelligence” learned by machines. AI-based applications may replicate thinking and actions associated with human intelligence such as reasoning, problem-solving, memorizing and learning.
Depending on how we utilize AI, the future of businesses and the human workforce can be transformed by AI as it will gradually enable robots and automated systems to perform tasks that currently only humans can perform. From the automation of mundane repetitive tasks to performing complex decision-making, the opportunities offered by AI can be varied and diverse. As we continue to explore the potential of AI, the world will be changed fundamentally and significantly.
This upcoming technological advancement raises the question: what will be left for humans to do? If robots and machines can perform our jobs in the future, the same way we do them or even better, where do humans will fit in the equation?
Impacts of AI on the future workforce and economy
Automation is the most visible outcome of AI where mundane tasks and tasks requiring interpretation of large amounts of data can now be processes by apps that do not need human intervention. This phenomenon is implemented in varied domains with the purpose of increased efficiency and decreased the cost of the human workforce.
As AI and machine learning can perform the manual tasks that humans used to perform, it presents opportunities for new industries and workforce. While repetitive and mundane tasks may become redundant, new job profiles and professions will be on emergence.
When used with the right intentions, AI can present innumerable opportunities for businesses as well as improved productivity, better efficiency for the organizations. This can result in an increase in demand for products and services and economic growth which can improve the standard of living of people.
-Opportunities for creativity and innovation
With AI helping people with a lot of mundane and manual tasks, professionals have more time to focus in researching, thinking, and delivering innovative solutions that are currently beyond the reach of AI and can greatly influence the way we use technology in the future.
-Interpretation of “work” for professionals
In the age of machine learning, evaluating the concept of work beyond only making a living is very vital. In the age of AI, the idea of work pertains to the human need for creation, participation, contribution, and value-addition should not be ignored. At larger perspective, even smallest and dull professional tasks turn valuable in a way that if it has been automated, it should be replaced with something worthwhile that presents an opportunity for discovery and innovation.
Relationship of AI with humans
AI-based applications are designed using automated mathematical processes which empower enhanced computing and analytical capabilities which contribute in more accurate forecasting pertaining to large volumes of data.
It is undeniable that AI-based systems can outperform traditional tasks majorly performed by humans, the role of human insights is still a driving force in designing and implementing the majority of AI solutions. Human reasoning and analysis are still primary driving forces behind cutting edge research. AI-based outputs also need the intervention of human expertise and quality regulations.