NVIDIA CEO Is All Praises for AI-Human Joint Workforce — But That Can’t Be Without Serious Issues

NVIDIA CEO Jensen Huang believes the next industrial revolution won’t be powered by machines alone, but by the collaboration between human workers and intelligent AI agents.

Speaking at the Citadel Securities 2025 Future of Global Markets conference, Huang described a future in which “digital humans” and employees work side by side, a workforce that he says will “transform productivity” and “expand creativity.”

“Future workforces in enterprise will be a combination of humans and digital humans. Some of them will be OpenAI-based, and some of it would be Harvey-based or Open Evidence or Cursor or Replit or Lovable.”

Yet, as enthusiasm builds around this vision, experts warn that integrating AI agents into human organizations raises complex governance, ethical, and operational challenges.

A Vision of Human-AI Collaboration

According to Huang, the workforce of the near future will consist of “humans and digital humans.” AI agents that are capable of independent decision-making and specialized tasks. These digital counterparts, powered by large language models and agentic intelligence, could eventually take on roles similar to human specialists.

“We now have AIs for all of our engineers. Productivity gains, the work that we do is so much better,” Huang told the audience.

He cited examples of emerging AI collaborators such as Cursor, Replit, and OpenAI’s enterprise copilots. At NVIDIA itself, Huang revealed that “every software engineer and chip designer is already augmented by Cursor,” showcasing how deeply AI assistants have been woven into daily workflows.

Huang envisions that companies may soon “hire or license” AI agents like employees, effectively creating hybrid teams that combine biological and digital labor.

The Productivity Paradox

The NVIDIA chief argued that the AI-human partnership will not necessarily shrink the human workforce, but redefine how people work. AI agents, he said, will handle repetitive coding, simulation, and reporting tasks, freeing up humans to focus on creativity and strategy.

However, Huang acknowledged a paradox: as productivity rises, so will workload expectations.

“We’ll be even busier in the future,” he remarked, noting that automation often increases, not decreases, output demands.

Analysts agree. A 2025 Workday survey found that while 75 percent of workers feel comfortable collaborating with AI, only 30 percent are at ease being managed by one. This suggests that comfort with AI assistance doesn’t automatically translate to acceptance of AI leadership.

Enterprises May Need an “HR for AI”

Huang also predicted that HR and IT departments will need to evolve into “human–agent resource” divisions, tasked with onboarding, training, and managing fleets of digital workers.

Companies, he said, must prepare for the practical realities of hybrid workforces, including licensing, compliance, and security protocols for agents that can act independently.

Business strategist Marcus Cunningham echoed this sentiment, noting that “companies not prepared for agent management may face massive organizational disruption as digital workers proliferate.”

The Difficult Questions Ahead

Despite Huang’s optimism, not everyone is convinced the shift will be seamless. Critics highlight three major areas of concern:

• Ethics and Accountability: Who is responsible when an AI agent makes a mistake or breaches policy?
• Job Security: As agents become more capable, some roles may vanish entirely rather than evolve.
• Transparency: Without clear oversight, AI decision-making could create “black box” workplaces where accountability is blurred.

Industry observers warn that without robust frameworks for evaluation and compliance, organizations could unintentionally introduce bias, inefficiency, or new security vulnerabilities.

Even Huang conceded that “the model is still evolving” and that “understanding how humans and AI cooperate will take time.”

A Bold but Risky Future

The NVIDIA CEO’s remarks reflect a broader trend across Silicon Valley: the rapid normalization of “agentic AI” in the workplace. Companies such as Anthropic, OpenAI, and Google DeepMind are racing to develop AI coworkers capable of managing projects, writing code, and even coordinating human teams.

While the potential is vast, so are the pitfalls. The promise of seamless collaboration between human and artificial colleagues comes with questions about control, fairness, and identity in the future of work.

Listen to the whole talk here: