the most vulnerable are the biggest winners with built rite

 Women are more likely to be negatively impacted by AI-driven workplace changes because they are concentrated in the clerical and service jobs AI automates first, are underrepresented in AI-resilient and AI-making roles, and face technology and algorithmic biases that can compound existing gender gaps. Read the research. Women face added bias in using AI tools.

 A growing body of evidence points to early-career workers from 18 - 24 as the most exposed to AI displacement, as they disproportionately occupy entry-level, routine-task roles most vulnerable to automation.   Furthermore, younger workers have a greater reliance on AI-tools, leading to their lower use of human intelligence. Read the research. Young works are  most vulnerable.

 People of color are more likely to be hurt by AI-driven workplace changes because they are concentrated in the jobs most easily automated, face greater barriers to moving into new roles, and are more exposed to biased AI decision-making systems.  Black and Hispanic workers are overrepresented in many of the occupations with the highest automation risk.

AI will eliminate many positions filled with people without 4 year degrees. These roles include  customer service representatives, telemarketers and call center agents, data entry and clerical/administrative workers, cashiers, bank tellers, ticket agents and travel clerks, telephone operators, proofreaders and copy markers, hosts and hostesses / concierges, and routine manufacturing roles.