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.
Tech
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Tech
Study Says EU Regulations Are Slowing Rollout of Advanced AI Models
A new study by Governance.AI has found that European Union regulations are delaying the rollout of advanced artificial intelligence models, with technology companies increasingly pointing to the bloc’s regulatory framework as a key obstacle to launching new AI products in Europe.
The report examined 375 large language models (LLMs) released between June 2018 and May 2026, comparing their availability across the United States, the European Union and the United Kingdom. According to the findings, at least 11 percent of advanced AI model releases were either delayed or never launched in the EU compared with the United States. In the UK, the figure stood at 7 percent.
Researchers said they identified 68 cases in which AI models experienced delays or were withheld from specific markets. Regulatory factors were cited as the primary reason in 56 of those cases, making them the most common cause of restricted availability.
The study reviewed releases from major AI developers, including Meta, Google, OpenAI and Anthropic. Meta recorded the highest proportion of delayed or unavailable releases, with 26 percent of its AI models delayed or withheld in the EU and 15 percent in the UK. Anthropic’s Claude 3 Opus was highlighted as one example, with its web application arriving in the EU 71 days later than in the United States.
According to the report, data protection rules have emerged as the biggest regulatory hurdle, particularly for AI systems capable of processing images, audio and real-time video rather than text alone.
The researchers argued that uncertainty surrounding the application of the General Data Protection Regulation (GDPR) to AI model training and deployment has created additional challenges for developers. They also said enforcement of data protection rules has generally been stricter within the EU than in the UK, despite both jurisdictions sharing similar legal foundations following the adoption of the GDPR before Britain’s exit from the bloc.
The report noted that the full impact of newer legislation, including the Digital Markets Act, which began taking effect in 2023, and the Artificial Intelligence Act, adopted in 2024, has yet to be fully reflected in the data.
At the same time, the European Union is reviewing proposals aimed at making data rules more practical for AI development through its Digital Omnibus initiative. Lawmakers are also considering changes to copyright legislation and the AI Act’s copyright provisions to strengthen protections for creators, measures that researchers say could affect future AI model availability if implemented too strictly.
John Lidiard, a UK AI policy researcher and one of the report’s authors, said policymakers should consider the impact that regulatory barriers can have on businesses and consumers seeking access to the latest AI technologies. He said balancing innovation with effective oversight would remain a key challenge as governments continue to develop AI regulations.
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