Finalists Coming Soon!
Go back

Age-Proofing AI: Enabling an intergenerational workforce to benefit from AI

Generation PROJECT
Age-Proofing AI: Enabling an intergenerational workforce to benefit from AI by Generation

credits

Title
  • Age-Proofing AI: Enabling an intergenerational workforce to benefit from AI
Entrant
  • Generation

About This Project

Summary

Mid-career and older workers (45+) face growing age bias in AI adoption. A global study by Generation, with grant support from Google.org and The SCAN Foundation, found that candidates under 35 are three times more likely to be hired for AI roles than those over 60—despite older professionals often demonstrating strong AI capabilities. The findings highlight the need to address systemic age discrimination in the rapidly evolving tech landscape.

Goals & Objectives

The report highlights how age bias affects AI adoption in the workplace and encourages employers to adopt more inclusive hiring practices. It emphasizes the importance of continuous upskilling, AI literacy, and leveraging the underused potential of mid-career and older professionals.

Results & Impact

The report was featured by Forbes, the World Economic Forum, Harvard Business Review, WorkLife, among other media outlets, and our communications campaign led to 10,000+ social media impressions and 400+ reactions.