# Why Gen Z Uses the Tech They Distrust — and How Bernie Sanders Wants to Govern It > Source: > Published: 2026-09-01 14:00:53+00:00 In classrooms, cubicles, and remote entry-level roles across the country, a distinct socio-technical contradiction has taken hold of Generation Z: Young students and workers are deploying generative artificial intelligence (AI) at rates far exceeding older demographics, yet they view the technology—and the Silicon Valley executives behind it—with scorn and skepticism. This dynamic, recently explored in a “More Perfect Union” feature bringing Sen. Bernie Sanders (I-Vt.) into direct dialogue with Gen Z workers, exposes a growing socio-economic tension – for the youngest cohort in the labor force, AI use is driven less by unbridled tech optimism than by survival-driven pragmatism. For Gen Z, AI has rapidly transitioned from an optional novelty to baseline digital infrastructure. Refusing to integrate AI tools into daily workflows risks immediate competitive disadvantage in academic performance, assignment throughput, and hyper-automated job application processes. Yet, behind high daily active usage figures lies widespread economic anxiety. Entry-level positions historically defined by administrative drafting, basic data analysis, and preliminary research represent both the traditional entry point into professional careers and the precise tasks most vulnerable to automation. Consequently, young workers often view AI deployment not as a tool designed to enrich human capability, but as a corporate strategy to reduce headcount, lower wage floors, and maximize profit margins. Because young adults interact with AI continuously, they encounter its practical limits — hallucinations, structural errors, and superficial analysis — far more often than casual users. Firsthand exposure frequently transforms initial intrigue into calculated, cynical utility. **The Political Economy of Automation** Bringing Sanders into conversation with this demographic reframes abstract technological debates into concrete questions of political economy and labor rights. Where tech-industry narratives often present AI adoption as an inevitable force of nature, Sanders grounds the issue in historical power dynamics between labor and capital. Periods of rapid technological advancement have usually yielded massive spikes in worker productivity. However, without strong collective bargaining or legislative intervention, financial gains from that efficiency have accrued overwhelmingly to capital owners while real wages stagnated. Applying this framework to generative AI, Sanders argues that the central policy debate must focus on distribution rather than mere technical capability. If AI dramatically accelerates workplace output, those gains theoretically translate into shorter workweeks, higher baseline pay, and expanded social safety nets. Instead, unguided corporate deployment threatens to yield mass layoffs, intensified workplace monitoring, and further wealth concentration among a handful of tech conglomerates. The senator recently claimed AI billionaires are “threatening to obliterate their jobs, eviscerate their privacy, undermine democracy, raise their electricity bills and destroy the environment.” Sanders then called for a major pause in the industry’s physical expansion, writing: “We need a moratorium on AI data centers.” For Sanders and aligned labor advocates, the decision-making power surrounding the future of work must be brought under public governance and democratic oversight rather than left to Silicon Valley boardrooms and tech oligarchs. The friction between heavy adoption and low trust has ignited widespread debate across labor, corporate, and academic sectors. Labor unions and worker advocates argue that young workers face “coerced productivity,” forced to adopt AI simply to satisfy escalating corporate targets with fewer colleagues. Drawing inspiration from recent labor actions such as the guardrails secured by SAG-AFTRA and the Writers Guild of America, unions are increasingly demanding contractual rights that require management to bargain before deploying automated software into existing roles. Tech sector and business leaders offer a starkly different diagnosis, framing AI proficiency as an indisputable prerequisite for the modern labor market. From the corporate perspective, young people using AI are acquiring vital technical literacy that ensures long-term employability. However, corporate strategists acknowledge the trust deficit, cautioning that tech companies must move past utopian marketing and clearly establish how human oversight will remain central to operations. Educators and academics are raising red flags over systemic skill atrophy. They warn over-reliance on automated tools during formative training phases can undermine critical thinking and analytical reasoning. This issue is compounded by contradictory institutional policies: Many universities punish AI usage under strict academic integrity codes while simultaneously urging students to master AI tools to meet market demands. **The Policy Horizon** The dialogue between Sen. Sanders and Gen Z highlights a fundamental shift in public discourse surrounding AI. Instead of focusing on abstract existential risks or corporate cheerleading, the core debate has centered squarely on worker protection, quality of human labor, and public interest. Gen Z’s underlying skepticism is not an inherently anti-technology stance, some experts argue. “I think there’s a potentially powerful argument here for Sen. Sanders, but it’s more economic than existential,” said Joseph Hoefer, chief AI officer at Monument Advocacy. “The anxiety showing up among younger Americans is less about rogue AI systems than about what happens when companies can produce more with fewer entry-level workers. If Silicon Valley is right that AI will create enormous productivity gains, the political question becomes very simple: who gets them?” Rather, it reflects a calculated reaction from a workforce navigating powerful tools deployed without clear safeguards for working people. Whether policy frameworks adapt to ensure shared prosperity — or allow automation to further divide the economy — remains one of the defining economic questions of the coming decade.