Hazel 
All in all, the impacts of artificial intelligence and automation on job security have raised wide-spread concerns and discussions. With advances in AI technologies, tasks that were traditionally human are becoming automated and thereby transforming the definition of the workforce. Despite the tremendous benefits that these technologies bring, including productivity increases and precise completion of tasks that are very complex, they also raise issues such as job displacement, stagnation in wages, and job insecurity. So let’s examine the positive and negative impacts that AI and automation have on job security.
Positive Impact
New jobs created: Automation or AI may eliminate some jobs, but it creates completely new categories of work. Take positions inside new emerging fields such as AI development, data science, robotics, or machine learning. As soon as industries integrate more AI-driven tools, the need for workers who design, implement and maintain such systems would grow.
Greater Efficiency and Innovation: There are two more things that AI and automation can probably do: more efficiency in the workplace and increased productivity without having to lay off people.
Enhancing human capacities: Rather than full replacement of workers, AI will be complementing human capabilities. Automation of repetitive tasks would permit employees to focus on more complicated and innovative aspects of their jobs.
Negative impacts
Job Loss-: This is in fact the most immediate concern that will follow on job losses, potentially taken as far as the whole working world. The work types, especially routine manual or predictable tasks are believed to be very much up for grabs by robots and AI systems in the near future.
Wage Stagnation and Inequality: Stagnation of wages is not only a consequence of AI or automation for jobs that are either not taken over completely from automation but even for those jobs that have some small tasks taken up by machinery. The most minimal basic tasks are taken over by machines.
Reskill Challenges: There will also have to come an upskilling or reskilling of individuals into whatever new workings or job changes may be experienced, but this will not prove feasible for many without access to education or training. Many employees stutter because they cannot get such techniques and may miss the chance to become acclimatized to the new roles created by AI and automation.
Job Polarization: Jobs have become polarized due to automation in which there is an increase in highly skilled, high-paying jobs and the disappearance of low-skill, low-paid jobs because of automation. This middle “class” is reduced, leaving fewer opportunities for workers who have average or specialized skills.
This is What Workers and Employers Can Do:
Reskilling and Lifelong Learning: Workers must upgrade their skills from time to time to avail of job security against AI and automation concerns. Lifelong learning should not only be limited to students because skilled workers must be efficient in skills not easily replicable by AI, such as critical thinking, creativity, emotional intelligence, and complex problem-solving.
Human-Machine Collaboration: Workers and employers should not view AI and automation as threats but as opportunities to explore new collaborative verticals. Training work
