In an interview with Citadel Securities published Tuesday, Nvidia CEO Jensen Huang identified six AI startups integral to his vision for future human-digital workforces and revealed that 100% of the company’s engineers now use the AI tool Cursor.
Huang outlined a future where “workforces in enterprise will be a combination of humans and digital humans.” He named several companies as foundational to this model, stating, “Some of them will be OpenAI-based, and some of it would be Harvey-based or Open Evidence or Cursor or Replit or Lovable.” The listed companies operate in various sectors, including large language models from OpenAI, legal technology from Harvey, and an AI healthcare tool from OpenEvidence. Replit, Cursor, and Lovable offer AI-powered coding or “vibe coding” tools.
During the Citadel discussion, Huang specifically emphasized the role of Anysphere-owned Cursor. He stated that all of Nvidia’s software engineers and chip designers utilize the tool. “We now have AIs for all of our engineers,” Huang said, connecting the adoption to improved results. “Productivity gains, the work that we do is so much better.” Following the publication of the interview, Nvidia declined to provide additional commentary on the subject.
Huang’s endorsement of OpenAI is supported by a significant financial commitment. Last month, Nvidia announced it would invest up to $100 billion in OpenAI for the construction of data centers that run on the chipmaker’s systems. The mention of Cursor also reflects growing corporate interest in the tool. In June, Business Insider reported that Amazon was in discussions to adopt the AI coding tool internally after its employees requested access to it.
The concepts discussed align with a vision Huang has articulated over the past year regarding collaboration between AI and “biological” employees. At the CES trade show in January, he proclaimed, “The age of agentic AI is here.” This model involves AI agents that function by deconstructing a large task into multiple smaller steps, with each step handled by a specific process to achieve a broader objective.
In a podcast appearance last October, Huang detailed how human and AI employees would work together in practice. He described a scenario where the company would implement a mass deployment of AI assistants, or agents, across every division to enhance overall output. “I’m hoping that Nvidia someday will be a 50,000-employee company with a 100 million, you know, AI assistants, in every single group,” Huang stated.
The topic of human-AI integration is also a focus for the venture capital community. Late last month, General Catalyst CEO Hemant Taneja identified planning for this collaboration as a critical component for successful AI integration. “Some humans are going to manage AI agents. Some AI agents are going to manage humans,” Taneja said during a podcast, adding, “Imagine how the org charts have to change.”
