12 jobs that are set to shrink over the next decade

Billy Odell Tucker-Robinson Founder & Host — Banking With Billy Network • Intelligence Network • Data Science • AI Research • World News
Published: 2026-08-30T09:32:17.532Z • Permanent link

Layoffs have been a grim reality for many professionals in the tech industry, particularly in the data science and analytics sector. According to a recent report by Glassdoor, over 150,000 jobs in the US alone are expected to disappear by 2025, resulting in significant job losses for those working in data analysis, machine learning, and artificial intelligence. One prominent example of this trend is the recent restructuring of Google, where hundreds of employees were let go in 2022, citing the need to adapt to changing market conditions. Similarly, in 2020, Microsoft announced the closure of its AI research lab in China, highlighting the growing competition in the AI space.

Meanwhile, other companies such as Amazon and IBM have also been grappling with the challenges of automation and AI-driven changes in their workforce. In 2022, Amazon announced plans to reduce its workforce by 10,000 employees, citing the need to streamline operations and improve efficiency. IBM, on the other hand, has been exploring new ways to utilize AI and automation in its business operations, but the company's efforts to restructure its workforce have been met with criticism from some employees who feel that the changes are too drastic.

Despite the challenges, some experts believe that the job losses in the data science and analytics sector will be offset by the growing demand for specialized skills in these areas. For instance, a report by Indeed found that the top skills in demand for data scientists and analysts include expertise in machine learning, natural language processing, and data visualization. Companies such as Netflix and Uber have also been investing heavily in AI and machine learning research, highlighting the potential for new job opportunities in these areas.

The impact of job losses in the data science and analytics sector will be felt across various industries and research communities. Companies such as Google, Amazon, and IBM are not only major employers in this space but also driving innovation and advancements in AI and machine learning. The loss of talent and expertise in these areas could slow down progress in these fields, potentially impacting the development of new technologies and products.

For research communities, the loss of experienced professionals will also have significant consequences. Researchers and academics in the field of data science and analytics rely heavily on collaborations with industry partners to stay up-to-date with the latest developments and technologies. The loss of these partnerships could disrupt the flow of new ideas and discoveries, potentially hindering the advancement of research in these areas.

Furthermore, the job losses in the data science and analytics sector will also have significant implications for the broader economy. As companies adapt to changing market conditions and invest in new technologies, they will require specialized skills to stay competitive. The shortage of skilled professionals in these areas could lead to labor shortages and increased costs for companies, potentially impacting their ability to innovate and grow.