NextFin News - Speaking at the NDTV AI Summit in New Delhi on February 18, 2026, Jay Puri, Nvidia’s Executive Vice President of Worldwide Field Operations, provided a definitive outlook on the intersection of artificial intelligence and the global workforce. Addressing a high-level gathering of policymakers and industry leaders, Puri acknowledged the growing anxiety regarding automation but countered with a robust thesis: while AI will undoubtedly lead to the loss of specific jobs, it will ultimately create a far greater number of new opportunities and drive unprecedented economic value. According to NDTV, Puri characterized this transition not as a zero-sum game, but as a fundamental evolution of the labor market where AI acts as a catalyst for productivity and innovation.
The timing of Puri’s remarks is particularly significant as the administration of U.S. President Trump continues to emphasize domestic technological sovereignty and the revitalization of the American industrial base through advanced manufacturing. During the summit, Puri explained that the "AI revolution" is following a historical pattern seen in previous industrial shifts, where the automation of manual or repetitive tasks freed human capital to pursue more complex, creative, and high-value endeavors. He detailed how Nvidia’s hardware and software ecosystems are currently enabling industries—ranging from healthcare to logistics—to optimize operations in ways that were previously impossible, thereby creating demand for new categories of workers such as AI ethicists, prompt engineers, and data curators.
From an analytical perspective, Puri’s optimism is grounded in the concept of "induced demand" within the technology sector. When the cost of a service or product drops due to efficiency gains—in this case, the cost of intelligence and data processing—the consumption of that service tends to rise, leading to the expansion of the entire ecosystem. For instance, as AI reduces the time required for software development, companies do not necessarily hire fewer developers; instead, they undertake more ambitious projects, requiring a larger workforce to manage the increased complexity and scale. This phenomenon suggests that the "job loss" narrative often overlooks the secondary and tertiary employment effects generated by technological breakthroughs.
However, the transition Puri describes carries significant structural risks, particularly regarding the "skills gap." Data from the World Economic Forum suggests that by 2027, nearly 40% of workers' core skills will need to change to keep pace with AI integration. Puri’s analysis implies that the burden of this transition will fall heavily on education systems and corporate retraining programs. The shift is moving away from "knowing" information toward "applying" AI tools to solve problems. In the context of the current geopolitical climate, where U.S. President Trump has advocated for a workforce that is both technologically adept and resilient to global shifts, the ability of a nation to upskill its population becomes a primary metric of economic competitiveness.
Furthermore, Puri introduced a conceptual framework he called the "5-layer AI cake," which illustrates the complexity of the modern AI stack—from silicon and infrastructure to foundational models and end-user applications. This framework highlights that job creation is not limited to the tech sector alone. As AI permeates the "application" layer, traditional industries like agriculture and retail will require a new breed of "AI-augmented" professionals. For example, in India—the host of the summit—the integration of AI into the agricultural supply chain is expected to create roles for data-driven agronomists who can interpret satellite and sensor data to optimize crop yields, a role that did not exist a decade ago.
Looking ahead, the trajectory of the labor market will likely be defined by a period of "creative destruction." While administrative and routine cognitive roles face the highest risk of displacement, the demand for roles involving high-level emotional intelligence, strategic decision-making, and technical AI management is projected to surge. The challenge for global leaders, including U.S. President Trump, will be managing the friction of this transition. If the pace of job displacement exceeds the pace of retraining, social and economic volatility could follow. Nevertheless, Puri’s insights suggest that for those who adapt, the AI era offers a horizon of expanded productivity that could redefine the global standard of living by the end of the decade.
Explore more exclusive insights at nextfin.ai.
