The world of work is undergoing a quiet revolution, with AI recruitment tools becoming increasingly prevalent. But are these tools inadvertently creating a gendered ageism problem, particularly for mid-life women? This is the question that Stacey Duguid, a 52-year-old career changer, found herself grappling with after a 16-month job search yielded little success. Stacey's story is not an isolated incident. The BBC's investigation into the experiences of over 60 women aged 40 to 65 across various industries revealed a troubling trend. These women, with decades of experience in senior roles, are finding themselves at a disadvantage in the job market, despite never having struggled to find employment before. The culprit, according to Stacey and many of her peers, is AI recruitment tools. These tools, designed to streamline the hiring process, are instead creating a biased system that favors younger candidates and discounts the value of mid-career women's skills and experience. The City of London Women Pivoting to Digital Taskforce shares this concern, warning that AI screening systems may overlook the unique skills and experiences that mid-career women bring to the table. For example, women who have taken time out of work for childcare may have gaps in their CVs that some AI systems could interpret negatively. The taskforce estimates that AI and automation could displace hundreds of thousands of women's jobs by 2035, further exacerbating the problem. The issue is not just about job displacement; it's also about the psychological impact on these women. Koeyli Jaluka, a 49-year-old with two decades of experience and two degrees, has seen her confidence take a hit after being relentlessly rejected by AI-powered recruitment tools. Similarly, Anna Cowie, a 52-year-old with a 30-year career in advertising, has been unemployed for almost four years, despite never having been without a job before. The problem is not limited to individual experiences; it has broader implications for the economy. As Caroline Haines, the chair of the taskforce, points out, the country needs to tap into the resource of mid-career women to promote economic growth. However, the lack of regulation and understanding of how AI recruitment tools work is a significant concern. Laura Holden, an AI lawyer, warns that companies often do not understand how these tools work, which can lead to significant harm. She argues that mandatory testing and stronger regulation are necessary to ensure that AI recruitment tools are fair and transparent. Dr Eleanor Drage, a senior researcher at the University of Cambridge, agrees that the logic behind AI recruitment tools is faulty. She believes that human recruiters are better equipped to recognize the value of candidates returning from career breaks and the transferable skills they bring. The case of Workday, a popular AI-powered human resources software company, further highlights the potential for bias in AI recruitment tools. The company is facing claims that it violated Californian law by weeding out job applicants for discriminatory reasons. While Workday denies these claims, the case underscores the need for rigorous testing and regulation of AI recruitment tools. In conclusion, the use of AI recruitment tools in the job market is creating a gendered ageism problem, particularly for mid-life women. This issue is not just about individual experiences; it has broader implications for the economy and society. As AI continues to play a larger role in the hiring process, it is crucial to ensure that these tools are fair, transparent, and accessible. Only then can we create a job market that values and supports all candidates, regardless of their age or gender.
