There is a direct correlation between using artificial intelligence and concerns about job security. The more workers leverage generative AI in their jobs, the more likely they fear that automation may replace them. According to a December CNBC SurveyMonkey Workforce survey, 60% of employees who use AI regularly reported they worry about its impact on their jobs. Seventy-two percent of respondents who use the technology recognize that automation significantly increases productivity.
Last year, Goldman Sachs published a report that estimates 300 million jobs could be lost or diminished by this fast-growing technology. The investment bank predicts that the growth in AI will mirror the trajectory of past computer and tech products. Just as the world went from giant mainframe computers to modern-day technology, there will be a similar fast-paced growth of AI reshaping the world.
Automation is already being deployed heavily in the workforce. Seventy-eight percent of C-suite leaders have reported that their company actively uses generative AI today, according to a survey by UKG, a human resources and workforce technology company.
Seven out of 10 C-suite executives say enhancing their use of AI is a central priority for their business, with 49% revealing that their organizations have benefited the most—with increased financial returns—from AI integrations.
AI can streamline workflows, increase efficiency and optimize resources, leading to cost savings and improved quality of work. By offloading mundane and repetitive tasks to AI systems, workers can shift their attention to higher-value activities, resulting in higher employee effectiveness and a more engaging and diverse workplace culture.
AI tools can help with decision-making in the workplace by analyzing vast amounts of data, recognizing patterns and recommending optimal solutions.
With that said, technology lacks human wisdom and discernment, so some level of personal human involvement will always be needed. The purpose of AI in decision-making is not complete automation. Instead, the goal is to help humans make quicker and better decisions through streamlined processes and improved accuracy.
“People jump to ‘all or nothing,’” said Hugo Sarrazin, chief product and technology officer at UKG, “The reality is that it’s going to automate tasks, not automate a full job in most cases.”
