Women Miss Out on $100K AI Salary as Hires Lag at 26%
Source: Fortune. Casualplayhub News adds summary, context, and editorial framing while linking back to the original report.
For years, CEOs have cautioned that artificial intelligence will not replace workers—but tech-savvy colleagues who embrace AI will. That warning has taken on a sharper edge: professionals who are not riding the AI wave may be leaving as much as $100,000 on the table, and women are disproportionately missing out.
A new analysis from LinkedIn reveals that AI job postings in the United States have doubled since 2023. Yet women made up only 26% of hires in positions requiring AI skills last year, despite representing half of the workforce in non-AI roles. The pattern becomes starker at higher levels. Across 27 countries, women hold just 13% of tech-related C-suite positions at AI companies. The report emphasizes that this is not due to a lack of ambition or effort. "The findings suggest that while AI is becoming an increasingly important source of career growth and economic opportunity, women aren't being afforded these opportunities," the LinkedIn report states.
The financial stakes are enormous. The average AI job posting offers an annual salary of around $177,000, compared to roughly $80,000 for non-AI roles. That $97,000 difference represents a significant wealth gap, especially given that the gender wage gap already widened last year, with women earning 18.6% less than men for the same work. Women are now being boxed out of the very jobs that could help close that disparity.
Attitudes toward AI play a role, but they do not tell the whole story. Working women tend to view AI more negatively than men: they are more concerned about career security, skeptical that the technology's benefits outweigh its risks, and wary of ingrained biases in algorithms. They are twice as likely as men to believe AI will harm them in the next two decades. Accordingly, women are 22% less likely than men to be regular AI users at work. Yet skepticism alone cannot explain the hiring gap. Even among women who enter the AI workforce, they are less likely to land the highest-paying, most influential roles.
LinkedIn found that women make up only 20% of head of AI positions, which typically pay $236,000 per year. They account for 26% of director of AI roles (around $300,000 annually) and just 18% of member of technical staff jobs (roughly $245,000 each year). At every level, female representation declines. Across all AI occupations, women's share is 10% lower than their share in non-AI jobs. At AI-focused companies, the gap is 5% wider than at other businesses. The biggest disparity appears at the top: a "leadership penalty" that is 15% wider for C-suite roles than for positions below the executive level.
LinkedIn's report identifies three interconnected barriers, which it calls the "Triple Penalty": working in leadership roles, working in AI jobs, and working at AI companies. Together, these obstacles keep women from thriving in the emerging AI economy. "AI is creating some of the fastest-growing and highest paying jobs in the economy," the August 2024 report notes. "Yet women remain less represented in many of the jobs, companies, and leadership roles shaping AI's future."
Closing these gaps is not just a matter of fairness; it is an economic imperative. As AI reshapes industries, the workforce building and deploying these technologies must reflect the diversity of the society it serves. Without deliberate action, the gender imbalance could deepen, leaving women—and the broader economy—at a disadvantage.
Article commentary
The LinkedIn report paints a stark picture of gender inequality in the AI job market, but it also raises deeper questions about how opportunity is distributed in the age of automation. The numbers are undeniable: women are being shut out of the fastest-growing, highest-paying roles in the economy. Yet the narrative that this is simply a matter of attitude or resistance to technology misses the systemic nature of the problem. First, the pay gap itself is a structural issue. The average AI job pays $177,000—more than double the typical non-AI salary. This disparity is not accidental. AI roles are concentrated in male-dominated fields like engineering, data science, and product management, where historical biases in hiring and promotion have long been documented. Even when women possess the same qualifications, they are less likely to be hired, promoted, or compensated equally. The "Triple Penalty" framework—barriers to leadership, AI jobs, and AI companies—captures how these biases compound. Second, the report highlights that women's skepticism toward AI is not unfounded. Women are twice as likely as men to believe AI will harm them in the next two decades. This concern is rooted in real-world evidence: biased algorithms, lack of diversity in AI development teams, and the potential for automation to disproportionately affect roles held by women, such as administrative support and customer service. That skepticism becomes a self-fulfilling prophecy when companies fail to address it, further discouraging women from entering the field. Third, the gap is not just about hiring—it is about retention and advancement. Even when women break into AI, they hit a glass ceiling. The leadership penalty is 15% wider at the C-suite level than for lower roles. This suggests that bias is not a one-time event but a continuous barrier. Companies that invest in entry-level AI training for women must also ensure that those women are mentored, sponsored, and promoted into executive positions. From a policy perspective, the findings underscore the need for targeted interventions. LinkedIn's report should serve as a call to action for employers, educators, and policymakers. Transparency in hiring metrics, blind recruitment processes, and mandatory diversity targets for AI teams could help. Beyond that, the education pipeline must be strengthened—encouraging girls and young women to pursue STEM and AI-related fields from an early age, and providing retraining opportunities for women already in the workforce. Finally, the broader economic implications are significant. If women are systematically excluded from the AI revolution, the economy loses out on talent, innovation, and diverse perspectives. AI systems built by homogeneous teams are more likely to encode bias, leading to products that fail to serve half the population. Closing the gender gap in AI is not just a matter of fairness—it is a competitive necessity for any company or country that wants to lead in the next technological era.