In November 2022, OpenAI launched ChatGPT, a watershed moment in the public’s understanding of generative AI. Since then, discussion has focused on the potential impact of large language models (LLMs) on the workforce.
Many workers have expressed fear about the future of their jobs, with global searches for “Is my job safe?” It is expected to double by the end of 2023.
According to recent research by the World Economic Forum, LLMs will disrupt work activities rather than entire jobs, opening up new prospects for advancement and growth.
However, more than 40% of working hours may be subject to change, forcing companies to negotiate these adjustments intelligently to benefit both their organizations and their staff. This essay discusses three critical areas that executives must address when managing this change.
Transitions and displacements in employment
LLMs have a significant impact on the workforce by automating tasks that require regular and repeated use of the language. Jobs that rely primarily on these tasks may see a drop in demand. In contrast, LLMs have the ability to enhance professions that need abstract reasoning and problem-solving skills.
To navigate this change, companies must support their employees during disruptions. Predictive analytics can help predict which jobs will be most affected by LLMs, allowing workers to make more informed decisions about retraining or transferring to new roles.
This method promotes employee confidence and well-being while improving company performance and accountability.
Creating an internal employment marketplace can be a successful strategy, allowing employees to easily research potential opportunities and transition into new roles. This helps companies successfully manage skills shortages while providing workers with opportunities for growth. Fostering a culture that encourages and rewards job role flexibility could help decrease job displacement anxiety by encouraging people to seek out new opportunities and learn adaptive skills.
Improving the quality of employment
There has been concern that LLMs have a negative impact on the quality of employment, inclusion and fairness. However, new research indicates that LLMs can improve the quality of work by freeing up time for creativity, problem solving, and independent decision making.
To achieve this beneficial outcome, organizations must involve workers in the administration of LLMs, involve diverse teams in their development, and generate awareness about the benefits of these new tools.
LLMs are most effective when created and implemented by interdisciplinary teams with diverse talents and viewpoints, reducing bias and implementing essential operational reforms.
Transparent and inclusive governance is critical to the successful implementation of the LLM and building trust. Establishing frameworks that drive the design and use of LLM through participatory decision making, employee feedback, and continuous review and improvement can support successful adoption.
Skills and education.
According to the World Economic Forum’s Future of Jobs Report 2023, corporate executives expect 44% of workers’ skills to be disrupted over the next five years. As a result, training initiatives should focus on skills that are most likely to grow, such as analytical skills, creative thinking, digital literacy, and lifelong learning.
Companies can overcome these difficulties by increasing the LLM proficiency of their staff through courses that explain the possibilities and limitations of the technology. This helps people understand how their employment will change, how to use AI, and how it benefits the company.
Work-based learning options, such as apprenticeships and temporary assignments, are beneficial for keeping employees’ skills up-to-date while fostering a culture of continuous learning.
In addition to literacy and skills development programs, employers should prioritize skills when upskilling and hiring. When evaluating people for specific tasks, this method puts competencies before titles or previous jobs. According to studies, organizations that take this approach are 36% less likely to experience talent and skills shortages.
Categories: Technology
Source: vtt.edu.vn