The stark warning delivered by ServiceNow CEO Bill McDermott on CNBC’s "Squawk on the Street" has sent ripples through discussions about the future of work, particularly for the emerging Gen Z workforce. McDermott, a prominent executive in the AI software sector, painted a sobering picture of an employment landscape drastically reshaped by artificial intelligence, predicting that unemployment rates for recent college graduates could skyrocket into the mid-30s within the next few years. This alarming forecast comes at a time when anxieties about automation’s impact on jobs are already high, forcing a critical examination of how society, education, and government might adapt to unprecedented technological shifts.

McDermott’s prediction is rooted in the accelerating capabilities of AI. He articulated that while young people graduating from university today already face a challenging 9 percent unemployment rate, this figure is merely a precursor to a much harsher reality. "I think it could easily go into the mid-30s in the next couple of years," he stated, attributing this dramatic rise to the pervasive integration of "agents." These AI-driven software programs are designed to perform tasks traditionally handled by humans, from customer service and data analysis to more complex operational roles. McDermott elaborated, "So much of the work is going to be done by agents, so it’s going to be challenging for young people to differentiate themselves in the corporate environment." This suggests a future where entry-level positions, often critical stepping stones for new graduates, might be the first to be fully automated, leaving a significant portion of the workforce without avenues for gaining experience or establishing careers.

It is crucial to view McDermott’s pronouncements through the lens of his own company’s strategic positioning. ServiceNow operates on a software-as-a-service (SaaS) model, a sector that has experienced its share of market fluctuations. In recent months, ServiceNow’s stock performance has lagged, partly due to the intense investor excitement surrounding pure-play AI companies and the burgeoning field of AI agents. To adapt and capitalize on this trend, ServiceNow has been strategically shifting its focus and resources increasingly towards AI development and integration. This pivot is exemplified by its recent "strategic collaboration to power agentic AI experiences" with OpenAI, a partnership announced earlier this year that underscores the company’s commitment to embedding advanced AI into its enterprise solutions. Indeed, the live CNBC broadcast even showed a slight uptick in ServiceNow’s stock price as McDermott delivered his dire forecast, highlighting the financial incentives tied to promoting AI’s transformative, even disruptive, potential. This raises legitimate questions about whether such predictions serve as genuine warnings or also as strategic moves to accelerate AI adoption and, by extension, benefit companies like ServiceNow.

McDermott’s stance, characterized by a blend of grim forecast and underlying enthusiasm, mirrors that of several other tech CEOs navigating the AI landscape. While acknowledging the potential for widespread job displacement, many industry leaders often pivot quickly to the immense productivity gains and new possibilities AI unlocks. McDermott himself expressed this duality, adding, "We will have billions of users in the next several years that we could never have gotten from human beings." This perspective prioritizes scalability and efficiency, often overlooking or downplaying the profound societal costs associated with large-scale unemployment. The narrative frequently shifts from job loss to the creation of "new types of jobs" or "augmented human capabilities," without clear roadmaps for how the millions displaced will transition into these undefined future roles.

The prospect of 30 percent unemployment for Gen Z is not merely an economic statistic; it represents a potential societal crisis. This generation, already facing challenges like student loan debt and precarious economic conditions, would confront unprecedented barriers to achieving financial independence, homeownership, and family formation. The psychological toll of such widespread joblessness could be immense, leading to increased rates of depression, anxiety, and a pervasive sense of hopelessness, as warned by psychiatrists observing early impacts of AI job loss. Social unrest, political instability, and a widening wealth gap could also become more pronounced if a significant portion of the population is left behind by the AI revolution. Moreover, the erosion of the middle class and the concentration of wealth and power in the hands of a few tech giants could fundamentally alter the fabric of democratic societies.

However, historical precedents offer a more nuanced perspective. Throughout history, technological revolutions – from the agricultural revolution to the industrial revolution and the digital age – have indeed displaced workers but have also created entirely new industries and job categories. The Luddites famously protested textile machinery in the 19th century, fearing permanent unemployment, yet the long-term outcome was not mass joblessness but a transformation of the labor market. The key difference with AI, some argue, is its potential to automate cognitive tasks, not just manual labor, potentially impacting a broader spectrum of white-collar jobs previously thought immune to automation. Yet, others contend that AI will primarily serve as an augmentation tool, enhancing human productivity and freeing up workers to focus on tasks requiring creativity, critical thinking, and emotional intelligence—skills that AI currently struggles to replicate. The question remains whether the rate of job creation will match the rate of job displacement, and whether society can adapt quickly enough.

In the face of such a transformative technology, the responsibility for navigating its impact extends far beyond the tech sector. This is precisely where political figures like Senator Bernie Sanders enter the conversation, challenging the unchecked enthusiasm of some tech leaders. Sanders has vocally advocated for a pause and a comprehensive societal reckoning, arguing that if AI truly threatens to dismantle the existing economic order, then a collective slowdown is imperative until the implications for workers and the economy can be fully understood and addressed. His stance reflects a growing sentiment that the development and deployment of powerful AI systems cannot be left solely to the market, but require robust public policy intervention.

Potential solutions and policy considerations abound. Retraining and upskilling programs, funded either publicly or through taxation on AI-driven profits, could help displaced workers acquire new, in-demand skills. Universal Basic Income (UBI) is often floated as a potential safety net to ensure a basic standard of living for those whose jobs are permanently automated. Regulations around ethical AI development, transparency, and accountability could mitigate some of the negative social impacts. Furthermore, a concerted effort in education reform is needed to prepare future generations for a world where continuous learning, adaptability, and distinctly human skills are paramount. The debate over whether to slow down AI development, as Sanders suggests, or to accelerate it while simultaneously building robust social safety nets, is a defining challenge of our era.

Ultimately, while CEOs like McDermott offer stark warnings that underscore the urgency of the AI revolution, they do not hold the final say. The future of work, and indeed society, will be shaped by a complex interplay of technological innovation, market forces, governmental policy, educational adaptation, and collective societal choices. For Gen Z, the message is clear: the coming years will demand unprecedented resilience, adaptability, and a proactive approach to skill development. The conversation must shift from merely acknowledging the threat of AI-driven unemployment to actively designing a future where technological progress benefits all, rather than leaving a significant portion of the population behind. The challenge is immense, but so too is the opportunity to forge a more equitable and sustainable path forward in the age of artificial intelligence.