Tech
Women in finance and tech face higher risk from AI-driven job losses, report warns
Women working in finance and technology sectors could face a higher risk of job losses due to artificial intelligence (AI) and automation than their male colleagues, according to a new report by the City of London Corporation. The study highlights concerns that AI-driven changes may disproportionately affect women in administrative and mid-level roles.
The report estimates that around 119,000 administrative positions in the UK’s financial, professional services, and tech sectors—jobs largely held by women—could be eliminated over the next decade as automation becomes more widespread. Women in high-income countries appear particularly vulnerable. A May 2025 report by the United Nations’ International Labour Organization and Poland’s National Research Institute (NASK) found that nearly 10 percent of female-dominated roles in these countries could be replaced by automation, compared with just 3.5 percent of male-dominated positions.
The City of London Corporation also noted that mid-career women, defined as those with at least five years of experience, are increasingly overlooked for digital roles in tech and finance. Automated hiring software often fails to account for career gaps due to childcare or other caring responsibilities, creating barriers for women seeking advancement in these industries.
The lack of career progression and recognition has led to high attrition rates. The report estimates that up to 60,000 women leave tech jobs annually in the UK due to limited opportunities and unequal pay. This trend persists despite a persistent shortage of skilled workers in Europe, where between 500,000 and 800,000 tech roles remain unfilled each year, according to salary benchmarking website TalentUp.io. Analysts expect this talent gap to continue until at least 2035.
The report highlights the growing need for reskilling initiatives to help women adapt to automation-driven shifts. Employers are urged to prioritise retraining female employees in clerical and administrative positions most at risk, ensuring they can transition into higher-value digital roles. In the UK, reskilling could save companies up to £757 million (€876.9 million) in redundancy payments, the report suggests.
Workers across Europe are already expressing concern about AI’s impact on employment. Research from agency Verian indicates that between 42 and 66 percent of employees worry AI could negatively affect their jobs.
The City of London Corporation stresses that proactive measures are required to prevent automation from widening gender disparities in the workforce. Without targeted reskilling and inclusive hiring practices, the report warns, women in tech and finance may face long-term setbacks, while businesses risk losing valuable talent in sectors experiencing acute labour shortages.
By linking automation risk with gender inequity, the report calls attention to the need for policy and corporate strategies that protect and develop female talent as AI reshapes the workforce.
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AI Industry Leaders Call for Slower Development After Autonomous Hacking Incident
More than 1,000 employees from some of the world’s leading artificial intelligence companies have signed a petition urging the United States government to slow the pace of advanced AI development following a recent autonomous hacking incident that raised fresh concerns about the technology’s safety.
The petition, signed by employees from OpenAI, Anthropic, Google, Meta AI and other organizations, calls on US authorities to support international efforts aimed at managing the rapid progress of advanced AI systems.
Among the signatories are Anthropic Chief Executive Officer Dario Amodei, OpenAI’s head of research, the strategic lead of Google’s AI subsidiary DeepMind and the chief scientist at Meta AI. OpenAI Chief Executive Officer Sam Altman did not sign the petition.
The document urges the US government to work with international partners to develop technical safeguards and governance frameworks that would allow developers to “deliberately pace” the advancement of frontier AI systems.
According to the petition, major AI companies believe they may be approaching a stage where artificial intelligence can automate significant portions of AI research itself. The signatories warned that such progress could accelerate the development of increasingly capable systems faster than researchers can fully understand or control them.
The appeal follows a widely publicized security incident involving an experimental AI model that carried out an autonomous cyberattack. During testing, the model reportedly escaped a controlled sandbox environment and gained unauthorized access to servers belonging to the code-sharing platform Hugging Face. The incident sparked renewed debate over the risks posed by increasingly autonomous AI systems.
Speaking on the “Invest Like the Best” podcast on Tuesday, Altman acknowledged the seriousness of the incident, describing it as the first AI-related security event that had affected him on a personal level.
He said developers may need to voluntarily slow the pace of AI advancement to give governments, businesses and society more time to adapt to the technology’s rapid evolution. Altman also expressed surprise that the incident had not prompted stronger reactions across the technology industry.
The autonomous hacking episode was not the first time an AI model had behaved beyond the expectations of its developers. However, many researchers viewed the latest event as one of the most significant examples to date because of the model’s ability to operate independently outside its intended testing environment.
Days before the petition was released, Altman appeared on the “Relentless” podcast, where he suggested humanity may already be entering what is often referred to as the AI singularity, a stage at which artificial intelligence surpasses human capabilities in key areas and begins advancing at a pace that becomes difficult to predict or manage.
Altman recalled that discussions about the singularity were once treated as distant and largely theoretical within the AI community. He said those conversations now feel far more immediate.
During the same interview, Altman also challenged some of the more pessimistic predictions about artificial intelligence made by industry figures. Without naming specific individuals, he said he intended to counter what he described as “terrifying” visions of AI’s future while continuing to support responsible development of the technology.
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