AI Skills Gap Statistics: Training Availability vs Workforce Readiness

of consumers are more likely to trust brands that use AI responsibly and transparently.

of consumers expect brands to use AI to anticipate their needs.

of consumers report they are concerned about AI privacy and data use.

of consumers say they would switch to a competitor if a company mishandles their personal data, which increases the importance of AI governance skills within organizations.

of consumers say they are unsure how AI is used in the services they receive.

of consumers say they are willing to share data for AI-driven personalization if it benefits them.

of employees say they would like more training in AI tools to do their jobs better.

of consumers are willing to try AI-driven products if they are easy to use.

of enterprises believe AI will be a competitive differentiator, which increases pressure to build the required skills.

of organizations report that they are increasing AI hiring to catch up on skills needs.

of organizations say they are using contractors because of talent constraints.

of organizations report that they lack the in-house skills to build and operationalize AI systems.

of organizations expect to invest more in AI skills and training over the next year.

of organizations say they are not confident in their ability to recruit AI talent.

1,000+ hours of AI training are provided by some large enterprises annually to prepare employees for AI tools.

of organizations say they are investing in education, training, and upskilling to address the talent gap.

of organizations say AI skills gaps are slowing deployment of AI applications.

of organizations say AI-related training is needed beyond technical teams to support adoption across business functions.

of executives say reskilling is one of the top priorities for AI adoption.

of marketers report that AI governance policies are missing, creating uncertainty about how to use AI safely.

of marketers say compliance requirements slow their AI campaigns because of skills and process gaps.

of organizations report that AI talent is a top challenge to scaling AI adoption.

of organizations say they have trouble finding staff with the right AI skills.

of organizations say they have a shortage of AI talent.

of organizations report that generative AI will require new skills that their workforce does not currently have.

of workers’ skills are expected to be disrupted by 2027, including skills related to AI-augmented work.

of companies report that AI will drive increased demand for data and analytics talent.

2,000+ organizations across the world identify AI skills as a priority in their workforce planning for digital transformation.

2.5x more AI adoption effort is planned by enterprises over the next 2 years, driving demand for AI skills.

of enterprises plan to increase investment in AI or remain at similar levels due to continued business growth opportunities.

AI-related jobs are projected to be created globally by 2030, increasing the scale of the skills gap.

of organizations believe AI will create more jobs than it eliminates, but skills will need to change.

of marketing leaders say they lack the skills needed to use AI effectively in marketing.

of marketers believe their organization needs better training on AI tools for campaign execution.

of marketers report AI skills shortages are impacting their ability to launch AI-enabled personalization.

of marketers say they outsource AI marketing work due to internal skills gaps.

of marketers say they need more expertise in AI measurement and attribution.

of marketers report difficulty hiring AI-skilled professionals specifically for marketing analytics.

of marketers use AI tools at least weekly, increasing the need for workforce training and skills.

of marketers say they have received no training for AI tools they are expected to use.