
Bits With Brains
Curated AI News for Decision-Makers
What Every Senior Decision-Maker Needs to Know About AI and its Impact
Helping the Most Experienced Senior Workers Thrive in an AI World
12/24/23
Editorial team at Bits with Brains
As artificial intelligence steadily transforms our workplaces, many companies are grappling with how to ensure their more experienced employees can successfully adapt.

While younger generations have come of age alongside rapid technological change, those farther along in their careers face unique hurdles transitioning to increasingly automated work environments.
Here are some challenges and strategies for older workers adapting to AI:
Skills gap: Many older workers lack familiarity with modern digital tools and AI technologies compared to younger coworkers. For example, they may not be as proficient with new software systems integrating AI capabilities.
Need for reskilling: To remain competitive, older employees often need targeted training to learn new technical skills relevant to AI-driven jobs. Without reskilling, their experience might become less valuable as certain roles are transformed by AI.
Technological anxiety: Some older workers feel uneasy about embracing AI due to uncertainty about its impact on their work or concerns that AI could replace their roles. This can inhibit their engagement with innovative technologies.
Cultural adjustment: Introducing AI necessitates changes to how work gets done. Adapting to new customs and workflows may be particularly challenging for those accustomed to traditional environments.
Potential for bias: If not implemented inclusively, AI systems risk unintentionally disadvantaging older workers in areas such as hiring and performance reviews by reflecting existing age prejudices.
Here are a few strategies for organizations to consider:
Tailored training programs: Targeted courses can help older employees gain digital literacy and hands-on experience with relevant AI tools to close skills gaps.
Mentorship and peer networks: Pairing older workers with younger mentors experienced in AI or supportive colleague groups provides guidance for overcoming technological anxiety.
Inclusive AI development: Addressing bias requires auditing systems, diversifying teams, and ensuring fairness/transparency in algorithms to create an equitable experience for all ages.
By thoughtfully assisting older workers' AI adaptation, organizations can benefit from their extensive knowledge while embracing modern technologies. This improves business outcomes through diversity and maintains valuable institutional memory.
Sources:
https://www.cryptopolitan.com/workers-adapting-ai-challenge-and-strategies/
Sources