Gen Z is losing the most in the AI economy—and Goldman warns it’s about to get worse

Goldman Sachs analysis reveals that Gen Z workers face disproportionate job displacement from AI automation, with economic inequality expected to worsen significantly in coming years. The report presents a nuanced picture where AI's productivity gains mask substantial intergenerational wealth and employment disparities.

Goldman Sachs' recent findings highlight a critical blind spot in the AI economy narrative: while aggregate productivity metrics appear positive, the distributional consequences are deeply unequal. Gen Z enters the workforce during peak AI disruption, facing accelerated automation of entry-level and routine cognitive tasks that traditionally provided career ladders for young workers. This timing compounds existing wealth inequality, as older workers with established careers and capital accumulation benefit from AI augmentation while younger cohorts lack the runway to build comparable advantages.

The report's concerning implication is that technological progress amplifies rather than alleviates economic stratification. AI adoption primarily eliminates intermediate skill positions—the very roles that allowed previous generations to transition from education to stable middle-class employment. Gen Z lacks the pension benefits and housing equity of predecessors, making them more vulnerable to income disruption. Goldman's warning that conditions deteriorate further suggests this dynamic will self-reinforce: reduced youth employment narrows consumer spending, constrains housing market participation, and delays wealth accumulation precisely when demographic tailwinds are weakening.

For investors and policymakers, this portends potential macroeconomic headwinds. Reduced intergenerational mobility typically correlates with political instability, lower consumer spending, and compressed demand for credit and financial services. Tech companies and AI developers may face regulatory pressure to address displacement, while traditional labor-oriented sectors could see accelerated transformation. The market may initially ignore distributional concerns, but sustained youth unemployment and underemployment could trigger policy interventions affecting AI adoption rates and corporate profitability timelines.

• →Gen Z faces disproportionate job losses from AI automation compared to older worker cohorts
• →Goldman Sachs warns employment and wealth inequality gaps will worsen significantly in coming years
• →AI productivity gains mask concerning intergenerational economic stratification patterns
• →Entry-level and intermediate skill positions face accelerated elimination, disrupting traditional career pathways
• →Reduced youth economic participation may trigger macroeconomic headwinds and policy responses