By 2030, an estimated 92 million jobs will be displaced by AI.
By 2030, an estimated 92 million jobs will be displaced by AI, according to the World Economic Forum鈥檚 Future of Jobs Report 2025. These job losses will not impact everyone equally鈥攔esearch indicates that Black and Latino/Hispanic workers are more vulnerable to AI-related job loss because these groups of workers are overrepresented in roles more likely to be replaced by automation and AI. Although AI has the potential for good, left unchecked, it may further exacerbate racial and economic inequalities in the workforce.
While 92 million jobs may be lost due to AI, the same report indicates that 170 million new jobs will be created because of AI, with the jobs expected to see the most growth including farmworkers, delivery drivers, construction workers, salespeople and food processing workers. The jobs most at risk include cashiers and ticket clerks, administrative assistants, caretakers, cleaners and housekeepers. According to a 2023 McKinsey report on the impact of generative AI on Black communities, Black Americans 鈥渁re overrepresented in roles most likely to be taken over by automation.鈥 Similarly, a study from the UCLA Latino Policy and Politics Institute indicates that Latino workers in California occupy jobs that are at greater risk of automation. Lower-wage workers are also at risk, with many of these jobs being especially vulnerable to automation.
The jobs most at risk include cashiers and ticket clerks, administrative assistants, caretakers, … More cleaners and housekeepers.
Black, Latino and low-wage workers are not only overrepresented in jobs that will be vulnerable to automation鈥攖hey are also underrepresented in AI and tech roles, which were projected to see the most growth in 2025, according to LinkedIn鈥檚 Jobs on the Rise list. The Black tech talent gap persists, according to a 2023 McKinsey report, which revealed a lack of Black representation in the fastest-growing tech roles. A 2024 Axios article highlighted the lack of Latino representation in tech鈥攁 problem that starts as early as grade school. The lack of Black and Latino representation in tech can be attributed to several different factors: a lack of exposure to technical career options, a lack of resources for skill development and networking, a lack of access to mentorship opportunities, being overlooked or steered away from STEM fields due to bias, and feelings of imposter syndrome and inadequacy.
A lack of diversity in tech and AI can have deleterious impacts on the field. Issues like algorithmic bias, which is already pervasive in many hiring and recruitment tools, may be exacerbated by a lack of representation. A homogenous team creating tech tools may be less likely to recognize the need to create with different lived experiences in mind. For example, a lack of representation on a tech team could result in overlooking that a facial recognition system has a higher error rate for darker skin tones. A lack of diversity can lead to missing red flags during the creation of tech and AI systems which can lead to unintentional discrimination.
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Employers must consider how the rise of AI could further intensify existing disparities. Specific systems must be put in place to address these issues, such as the development of workplace programs focused on attracting and retaining underrepresented tech talent. Creating opportunities for apprenticeships, building community partnerships, and hosting job fairs for those from historically excluded backgrounds can all be useful strategies. Workplaces must prioritize equity and justice not as nice-to-haves, but as essentials to remain successful and sustainable long-term. AI should be developed with intentionality and with an understanding that equity is not an add-on, but a requisite for organizational viability.
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