99% of L&D leaders believe their workforce will be "AI-ready" in the next two years, but only 14% of employees believe their organization is fully on track to acquire the necessary AI skillsPALO ALTO, Calif., April 23, 2025 /PRNewswire/ -- Workera , the leading AI-powered skills intelligence platform, today announced its inaugural 2025 State of Skills Intelligence Report. The study highlights several areas of disconnect between organizational leadership perceptions and employee realities in AI skills development, exposing the challenges within the current state of workforce transformation. The U.S. was found to have the least formal AI-related business objectives for 2025 and the least implemented overall AI adoption strategies."Organizations are racing to adopt AI, but they are failing to bring their workforce along on the journey, which not only explains the disconnect but the biggest fundamental challenge in successful AI transformation," said Kian Katanforoosh, CEO and founder of Workera. "If your AI strategy is not reaching your employees, it's already failing. This data report enables leaders of all industries to make data-driven investment decisions to close the gaps in workforce preparation and setting AI business objectives."Organizations With AI Objectives Are Racing AheadCompanies with a clear and documented AI strategy are leaving the competition behind when it comes to upskilling talent.Daily Use: These companies are significantly more likely (61% vs 17%) to feel that their workforce is very prepared in terms of integrating AI into their daily workflows.These companies are significantly more likely (61% vs 17%) to feel that their workforce is very prepared in terms of integrating AI into their daily workflows

Workera announced a strategic investment from Accenture, marking a key milestone in their alliance. This partnership includes Accenture's investment, a reseller collaboration, and technology integration, positioning Workera as the skills intelligence layer in Accenture's LearnVantage platform. The collaboration aims to enhance skills-based training in AI, data, and technology, addressing the need for workforce reskilling, especially in high-demand fields like AI and cloud computing.