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Cyber Security
Independent · Digital
Thehackingpost
CybersecurityAI-assisted

76% of Americans Plan On Learning New AI Skills in 2026

## AI Skills Development Among U.S. Workers

AI Skills Development Among U.S. Workers

A recent study indicates that over 75% of white-collar workers in the United States intend to acquire new AI skills by 2026. The study, which forms part of the Workera 2026 AI Workforce Preview, surveyed 1,000 full-time workers across various sectors, including technology, finance, and the public sector. It examined expectations regarding AI's impact on job roles, security, and career prospects over the next year.

Anticipated Changes in Workplace Dynamics

Survey participants identified automation, productivity growth, and reduced repetitive tasks as significant ways AI will transform their work. However, concerns remain, with 9% expecting changes in employment status due to AI, including 29% anticipating role changes within their companies and 10% worried about potential job loss. Despite these concerns, 53% of respondents are considering job changes in 2026, either internally (25%) or externally (28%).

The report highlights that appreciation of skills plays a crucial role in employee retention. A significant 73% of those who felt their skills were not recognized by their employers planned to seek new employment in 2026. Workera's CEO, Kian Katanforoosh, emphasized the importance of recognizing and valuing employees' AI capabilities.

A recent study indicates that over 75% of white-collar workers in the United States intend to acquire new AI skills by 2026.
Peter Collins · Thehackingpost

Continued Relevance of Traditional Hiring Practices

Despite the emphasis on AI skills, the study found that 72% of participants view experience and CVs as central to hiring processes, followed by verified skills data (57%) and workplace relationships (48%).

The report underscores the importance of AI literacy in future work environments. Employees are actively pursuing skill development to remain competitive, and it is essential for organizations to acknowledge and reward these efforts.

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Based on reporting by techround.co.uk.

AI transparency. This article was produced with the assistance of artificial intelligence and published under human editorial oversight. AI systems can make mistakes. Read how we use AI (EU AI Act, Art. 50).
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