Op-Ed Warns AI Could Create Permanent Underclass

Jasmine Sun published an opinion essay, reported by Newser, that warns the spread of artificial intelligence could create a "permanent underclass." Per Newser, Sun opens with the line, "Most people I know in the A.I. industry think the median person is screwed, and they have no idea what to do about it." Per Newser, Sun traces the term "underclass" to 1960s automation debates and writes that its resurgence raises two specific flags: first, that it "signals how much collateral damage the A.I. companies will tolerate en route to (artificial general intelligence)," and second, that the "production of a social underclass is a policy choice," per Newser. Newser also reports Sun quoting Palantir executive Alex Karp: "If I were sitting here in private with my peers, I'd be telling them the country could blow up politically, and none of us are going to make any money when the country blows up."

Industry-pattern observations: public debate about automation and job displacement has recurred for decades, from early manufacturing automation to the platform-era shifts in service and knowledge work. For practitioners, the current wave centered on large pretrained models and task automation differs from past waves mainly in the breadth of tasks affected and the speed of adoption, which raises questions about retraining scale and data infrastructure for labor-market analytics.

opinion pieces like Sun's matter because they synthesize cultural anxiety and elite commentary into a compact policy argument that can shape public debate. Observers looking at labor-market impact commonly highlight two channels of concern: displacement of tasks that serve as primary incomes, and political feedback effects if large worker cohorts face prolonged underemployment. These dynamics are already appearing in policy conversations around retraining, social insurance, and targeted subsidies.

Indicators an observer might follow include public policy moves on income support or retraining funding, labor-force participation statistics in occupations with high exposure to automation, and statements from large AI employers or industry groups on workforce transition programs. Also watch for polling and local political shifts in regions with concentrated AI-adjacent job losses, which Sun flags as a source of potential "populist rage," per Newser.

This piece is an op-ed; Newser attributes the quotes and framing to Jasmine Sun and cites the Alex Karp quote. The sources report opinions and warnings; they do not provide empirical estimates of job loss or specific policy proposals backed by original data.