HCM & HRIS

US white-collar jobs face AI pressure as tech and finance payrolls decline

July 14, 2026
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< />Artificial intelligence is beginning to have a measurable impact on the US labour market, with employment declining fastest in industries that have embraced the technology most aggressively. According to US government payroll data cited by Bloomberg, the financial activities and information sectors have lost an average of 28,000 jobs per month in 2026, signalling that AI is increasingly influencing workforce composition. <br><br><!– PROMOSLOT_M –> The information sector, which includes technology companies, software publishers and telecommunications firms, alongside financial services, has been among the earliest adopters of generative AI to automate routine knowledge work, streamline operations and improve productivity. As organisations integrate AI into everyday workflows, they are reassessing hiring needs and organisational structures, particularly for administrative and repetitive white-collar roles. <br><br><!– PROMOSLOT_M –><div class=” article-detail-ad-slot=”” captionrendered=”1″ data-src=”https://etimg.etb2bimg.com/photo/132133898.cms” height=”442″ loading=”eager” src=”https://hr.economictimes.indiatimes.com/images/default.jpg” width=”590″></img></p> </div> <p> The latest figures suggest that AI’s impact on employment is becoming visible in sectors where adoption has been most rapid. However, economists caution against interpreting the trend as evidence of widespread AI-driven job displacement. The broader US labour market continues to show resilience, with job losses concentrated in specific industries rather than across the economy. </p> <p> Analysts note that AI adoption remains uneven across industries. Around one in five US companies are actively using AI, with adoption significantly higher among larger organisations and in sectors such as information, professional services, education and finance. While some employers have reduced hiring or eliminated selected roles, AI-related productivity gains and continued investment in digital infrastructure are also creating demand for new skills and occupations. </p> <p> For HR leaders, the emerging trend reinforces the need to rethink workforce planning beyond headcount reductions. As AI automates more routine tasks, organisations will need to invest in reskilling, redesign jobs around human capabilities and prepare employees for AI-enabled ways of working. The findings also highlight the growing importance of workforce transition strategies that balance productivity gains with long-term talent development. </p> <div> <div aria-label=

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