June 2: Nvidia CEO Jensen Huang has voiced strong support for higher employee compensation as the artificial intelligence boom accelerates global demand for advanced computing infrastructure and reshapes workforce expectations across the technology sector.
Speaking on the sidelines of Computex in Taipei, Huang said workers should be rewarded generously for their contributions to the rapid growth driven by AI investments.
“I think people should be paid as much as possible,” Huang said, adding that he personally ensures Nvidia employees are compensated to the fullest extent possible within the company’s framework.
His remarks come at a time when AI-driven expansion is intensifying competition for skilled semiconductor and engineering talent across Asia and the United States, prompting renewed focus on salary structures, bonuses, and profit-sharing models.
Recent developments across the industry highlight this trend, with companies such as Samsung Electronics reportedly agreeing to substantial bonus packages for chip engineers, while TSMC (Taiwan Semiconductor Manufacturing Company) has also moved to strengthen incentive-based compensation to retain talent and maintain workforce stability.
Alongside compensation concerns, the broader debate around artificial intelligence continues to grow, particularly regarding its long-term impact on employment. While AI is expected to create significant new opportunities, workers remain cautious about potential job displacement as automation accelerates.
During the event, Huang also showcased Nvidia’s latest innovations as the company expands its leadership in the global AI ecosystem. He reiterated that demand for computing power has surged dramatically, driven by next-generation AI models and infrastructure requirements.
Earlier, at Nvidia’s GTC event in California, Huang projected that the company could achieve up to $1 trillion in AI-driven revenue by 2027, supported by strong demand for its advanced chip platforms.
Industry analysts note that Nvidia’s growth strategy continues to center on building a fully integrated ecosystem spanning hardware, software, and large-scale AI infrastructure solutions.