Published on April 8, 2026
Recent research from JP Morgan and the Brookings Institution highlights a troubling trend regarding the impact of artificial intelligence (AI) in the workplace, particularly for women. The findings suggest that women could face greater risks as AI systems become more prevalent, primarily due to their lower representation in tech-driven jobs, slower rates of adoption in various sectors, and their exposure to roles that are more susceptible to automation.
As AI technologies evolve rapidly, the workforce is undergoing significant changes. However, women are notably underrepresented in many technology and AI-related positions. This disparity not only limits opportunities for women but also reduces their influence in shaping the development and implementation of AI tools. When fewer women are involved in creating and deploying AI, it increases the likelihood that the technologies may overlook or misrepresent their needs and experiences.
Moreover, women generally occupy roles that are traditionally seen as lower-skilled and more exposed to automation. Jobs in clerical work, retail, and customer service—fields that employ a significant number of women—are at a higher risk of being replaced or transformed . This assessment raises concerns about job security and economic stability for many women, especially those who might lack the resources or opportunities to transition into higher-skilled positions that are less vulnerable to automation.
The research also points to a slower adoption of AI in industries where women predominantly work. Sectors with a higher concentration of female employees may be more hesitant to implement AI technologies aggressively, there and innovation. This hesitation could result in prolonged stagnation in job growth and advancement opportunities for women compared to their male counterparts in technology-driven industries.
The implications of this research extend beyond individual job security. If organizations and policymakers fail to consider the gendered impacts of AI, we may risk perpetuating and further entrenching gender inequalities in the workplace. Addressing these disparities requires proactive measures, including encouraging women’s participation in tech and AI fields, investing in reskilling initiatives, and ensuring diverse representation in decision-making processes related to technology deployment.
In conclusion, as AI continues to reshape the workforce, there is a pressing need to recognize and address the unique challenges women face. Without concerted efforts to support their integration into technology-driven roles and safeguard against the risks posed , the progress made towards gender equality in the workplace could be significantly undermined.