StartUp / Ai Startups
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How to build an AI workforce strategy using data | Perspectives from Davos | Deloitte Insights
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A significant gap exists between the demand for AI skills, with 75% of companies seeking such talent, and the actual implementation of workforce strategies, as only 30% have a stated AI workforce strategy. Employee engagement is low at 21%, indicating a misalignment between workforce capabilities and organizational goals.
- 75% of companies are demanding AI skills, yet only 30% have a stated AI workforce strategy, which may be an inflated figure. This discrepancy raises questions about the effectiveness of current workforce strategies in meeting the demand for AI talent. The low engagement rate of 21% among employees further complicates the situation, indicating potential gaps in workforce alignment with organizational goals
- The use of data is emphasized as critical for understanding workforce dynamics and informing strategy. There is an interesting challenge posed by the high demand for AI skills, which may not be matched by employee engagement or trust in employer relationships. The reliance on sentiment analysis from sources like Gallup highlights the need for organizations to address these trust factors to improve workforce engagement
- The speaker speculates on the implications of AI for every job and role, suggesting that a baseline understanding of skills is necessary for effective workforce planning. With a taxonomy of 14 competencies, organizations may be able to better assess the economic impact of AI on roles. However, uncertainties remain about the specific actions that should be taken based on this analysis