Concerns and Strategic Responses of Older Workers Navigating Generative AI in Bridge Employment
arXiv:2606.07543v1 Announce Type: cross Abstract: Generative AI (GenAI) is transforming workplaces at a rapid pace. This disproportionately affects vulnerable communities, including older workers (OWs) who re-enter the workforce through bridge employment prior to final retirement. Through in-depth semi-structured interviews with 21 professionals, we examine how OWs navigate GenAI-driven disruptions while pursuing bridge roles, focusing on their concerns about GenAI integration and their responses to these changes. Our findings show that OWs experienced both temporal and structural disruptions
The rapid deployment and integration of Generative AI into various workplaces is creating immediate and observable impacts, particularly for vulnerable worker populations.
This highlights specific challenges and necessary adaptations for older workers, which can inform policy, training, and strategic workforce planning in an AI-dominated future.
The understanding of how different demographics interact with and are affected by rapidly advancing AI technologies is deepening, revealing new areas for intervention.
- · AI Upskilling/Reskilling Platforms
- · Workforce Development Programs
- · HR Tech focused on AI integration
- · Older Workers without AI adaptation strategies
- · Industries slow to adapt workforce training
- · Traditional recruitment models
Increased demand for targeted AI training and reskilling programs tailored for specific worker demographics.
Potential for new policy discussions regarding age discrimination and AI integration in employment, leading to regulatory shifts.
Long-term societal changes in retirement planning and the structure of 'bridge employment' as AI reshapes job roles.
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Read at arXiv cs.AI