Nvidia Corp (NASDAQ: NVDA) CEO Jensen Huang rejected calls to slow artificial intelligence development, arguing that companies should advance rapidly while ensuring product safety before release.

In a teaser video shared by CBS News, Huang told correspondent Jo Ling Kent that the industry should move "as fast as we can, irrespective of anybody else." He clarified that speed does not mean shipping unsafe technology, emphasizing that products must be ready before launch. Huang framed rapid progress as vital for U.S. economic growth and prosperity.

Industry Debate on Pacing

Huang’s stance contrasts with recent comments from Anthropic CEO Dario Amodei, who argued that AI is advancing at an "exponential" rate and urged an industry-wide slowdown to match safety measures. Amodei called for independent third-party evaluators to assess safety practices and common standards.

Former Anthropic researcher Jacob Coxon also raised concerns that AI companies prioritize innovation over security, advocating for stronger safeguards as capabilities grow.

Meanwhile, Meta Platforms Inc (NASDAQ: META) CEO Mark Zuckerberg noted that his company delayed its Muse AI agent for several months to address safety and security concerns. Zuckerberg stated that every lab has the responsibility to train models safely at the required pace.

Market Reaction

Nvidia shares closed at $222.27 on Friday, up 1.34%. The stock edged 0.12% higher to $222.53 in after-hours trading. According to Benzinga Edge Rankings, Nvidia ranks in the 98th percentile for Growth.

The full interview with Huang will be released on Sunday.

CoinMarketCap research head Alice Liu distinguishes between tokenized Nvidia Corp (NASDAQ: NVDA) products and standalone AI tokens, noting that the former offers direct exposure to the chipmaker’s equity performance.

Liu, Head of Research at CoinMarketCap, told Benzinga that tokenized stocks provide an "honest way" for global retail investors to access Nvidia with fractional sizing and leverage outside traditional market hours. She emphasized that an AI token represents a separate investment bet, despite often sharing thematic branding.

Tracking Performance vs Thematic Speculation

The distinction is critical for understanding return profiles. A tokenized Nvidia product is designed to mirror the underlying stock. CoinMarketCap’s NVDAX was roughly flat over the month covered by the interview, broadly matching Nvidia’s actual share price movement.

In contrast, AI tokens exhibit high volatility and divergent returns driven by crypto market dynamics rather than corporate fundamentals. As of Sept. 10, TAO gained 24% over 30 days, while Render fell 63% over the year.

Market Scale for Tokenized Equities

Tokenized equities are gaining traction as an access layer for traditional assets. CoinMarketCap tracked 1,851 instruments in this category, representing approximately $2.3 billion in market capitalization and roughly $2 billion in daily volume.

What the Numbers Show

The data reveals a sharp divergence in risk-return profiles between asset classes. While NVDAX remained flat—mirroring the underlying equity—TAO surged 24% in just 30 days. This highlights that AI tokens trade on speculative momentum rather than operational performance, offering returns completely decoupled from Nvidia’s financial results.