Will AI Replace Your Job? New Study Reveals the Industries Most at Risk

AI Adoption and Workforce Transformation
Artificial intelligence (AI) is rapidly reshaping the global workforce, with certain industries facing more disruption than others. A recent study by data experts SOAX has analyzed the latest information from the Pew Research Center to determine which sectors are most likely to shrink due to AI adoption in 2025. The study considered both the degree of AI integration and historical workforce changes, producing an index out of 100 to rank industry vulnerability.

Professional, Scientific, and Technical Services Lead the Risk
The professional, scientific, and technical services sector emerged as the industry most at risk, scoring 79.69 on the index. AI technologies are increasingly automating tasks such as data analysis, research, and technical reporting, streamlining operations across sub-sectors. While projections suggest this sector could lose over half its workforce due to automation, recent trends show a 1.87% workforce growth from 2022 to 2023, indicating that the industry remains adaptable. The findings highlight how AI can coexist with human labor, creating new roles even as routine tasks are automated.

Information Sector Faces Growing Automation Pressure
The information sector ranks second with an index score of 74.50. Companies in this space are increasingly relying on AI to handle tasks such as content generation, data processing, and analytics. Although workforce reductions are expected, organizations are actively rethinking strategies to integrate AI into daily operations, aiming to maintain efficiency while redefining job roles for employees.

Finance and Insurance: Third Most Vulnerable
The finance and insurance sector ranks third, scoring 69.41 on the index. AI applications in this industry include enhanced fraud detection, algorithmic trading, risk assessment, and personalized financial services. While automation could reduce certain administrative roles, AI also opens new opportunities in compliance, cybersecurity, and AI model management, underscoring the sector’s potential for workforce evolution rather than total contraction.

The Broader Implications for Employment
The study underscores a critical point: AI adoption does not necessarily mean wholesale job losses. Instead, it signals a transformation in job requirements, with an emphasis on reskilling and upskilling to remain competitive. Industries with high AI integration are likely to see a shift in workforce composition, where human workers focus on strategic, creative, or oversight roles while AI handles repetitive, data-intensive tasks.

Preparing for an AI-Driven Future
For employees and employers alike, proactive preparation is essential. Upskilling in areas like data literacy, AI management, and problem-solving will be crucial for mitigating risk. Businesses that embrace AI strategically can benefit from efficiency gains, innovation, and the creation of entirely new job categories, demonstrating that adaptation is key to navigating this technological shift.

AI is not merely replacing jobs; it is reshaping industries and forcing both workers and organizations to evolve. Understanding which sectors are most at risk and taking proactive steps to adapt will define success in an AI-driven economy.