Workforce underprepared for AI despite widespread awareness
New research from Udemy has found that while most employees are aware of artificial intelligence's potential to reshape entire industries, relatively few are taking concrete steps to equip themselves with relevant AI skills. Findings from a survey of nearly 5,000 workers show a marked disparity between AI awareness and actual preparation, highlighting an emerging vulnerability that companies may face as the technology continues to expand its reach.
AI realities
The survey revealed that a majority of workers are concerned about AI's broad impact on employment but are less worried about personally being affected. In the UK, 70% of respondents expressed fears about job disruption across the economy due to AI, yet only 39% believed their own roles to be at risk. The trend is similarly reflected in the US, where workers' worry over personal impact remains much lower than concern for society at large. This phenomenon, often termed 'optimism bias', has appeared previously in periods of technological change.
Skill confidence gap
Despite increasing exposure to AI tools, a significant proportion of the workforce reports feeling unprepared to work with such technology. Across the surveyed regions, 40-44% said they were unable to learn or use AI tools, 32-40% struggled with adapting AI into their work processes, and 34-38% lacked the skills necessary to integrate AI systems into existing workflows. Training uptake was especially low in certain markets, with 55% of UK workers and 47% of US workers saying they had not participated in any AI training. By contrast, India's workforce demonstrated stronger engagement, as only 14% said they had not undertaken any AI training, and 43% reported completing employer-led programmes.
Cultural influences
The research indicates that cultural perceptions play a role in shaping AI readiness. In countries like India, where collective responsibility is emphasised, there is higher confidence in AI skills and greater participation in training. In more individualistic cultures such as the US and UK, workers appear more susceptible to optimism bias, which may hinder upskilling efforts despite the wide availability of technology.
Leadership perspectives
"Across Asia Pacific, we are seeing the same behavioural gap that this research highlights, people understand AI's impact, but far fewer are preparing for it. Leaders tell me their teams recognise the importance of AI, yet confidence and action don't always follow. That's why embedding learning into the flow of work is so important. When upskilling becomes accessible, relevant, and tied to real outcomes, we can help people overcome hesitation and turn awareness into capability.
"It's not just about mastering new tools; it's about building the mindset and momentum to adapt. The organisations that move fastest to close this readiness gap will be the ones that thrive as AI reshapes how we work," said Peter Kokkinos, Vice President & Managing Director, Udemy Asia Pacific.
Soft skills shortfall
The report highlighted a mismatch between employees' self-assessments and employers' evaluations of human skills. Communication, critical thinking, teamwork, and leadership were frequently cited by hiring managers as areas where entry-level staff fell short. In the US, half of hiring managers said entry-level workers struggled with communication and critical thinking, while only 13-14% of workers admitted difficulties in these areas. Results from other countries showed similar discrepancies, implying that even as companies invest in AI, a shortage of adaptable human skills may hamper effective adoption.
Shift in hiring priorities
Skill-based hiring appears to be gaining traction globally. The study found that hiring managers in the UK (71%), US (59%), and Brazil (66%) now regard proven skills as more important than academic credentials when selecting entry-level employees. In India, however, there remains a balance between valuing skills and traditional qualifications. As AI accelerates workforce changes, the emphasis on demonstrated capability is likely to increase.
Actions for employers
The report outlines four recommended actions for companies: conducting skills audits to uncover gaps between employee and manager perceptions, integrating ongoing learning into daily work rhythms, personalising AI-related risks and opportunities to move beyond optimism bias, and prioritising skills-based recruitment and internal mobility. These measures are aimed at enhancing workforce resilience as AI adoption intensifies.
