Nvidia CEO Jensen Huang declared that the markets have misjudged the value of software stocks, asserting that their long-term potential remains undervalued despite recent volatility. His remarks come as AI-driven demand reshapes the technology landscape.
- Nvidia CEO Jensen Huang stated that markets have misjudged software stocks' long-term value.
- Nvidia (NVDA) market cap exceeds $3 trillion, while software peers MSFT and META show weaker relative gains.
- Software-heavy indices like XLK underperformed semiconductors (SOXX), up 15% YTD.
- AI software stack optimizations improve inference efficiency by 35%, according to internal benchmarks.
- Analysts are revising targets, with some upgrading MSFT and META to 'overweight'.
- Re-pricing of software stocks could impact capital flows and index performance.
Nvidia CEO Jensen Huang delivered a direct challenge to current market valuations during a recent investor forum, stating that 'the markets got it wrong' on software stocks. Speaking amid surging investor focus on semiconductor performance, Huang emphasized that software is the true engine of AI innovation, not just hardware. He highlighted that companies with robust software platforms are underappreciated in the current market pricing, despite their critical role in deploying AI at scale. The remarks follow a period of divergence in performance among tech giants: while Nvidia (NVDA) has seen its market cap exceed $3 trillion, software-centric peers such as Microsoft (MSFT) and Meta Platforms (META) have experienced slower gains despite strong underlying fundamentals. The S&P 500 (^GSPC) has risen 12% year-to-date, but software-heavy segments within the index have lagged, with the Technology Select Sector SPDR Fund (XLK) up only 6.3% compared to a 15% gain in the semiconductor-focused iShares Semiconductor ETF (SOXX). Huang pointed to the increasing importance of software-defined AI systems, noting that a single AI model can generate billions in value only when paired with scalable software infrastructure. He cited internal benchmarks showing that AI applications deploying proprietary software stack optimizations achieve 35% higher inference efficiency, directly impacting enterprise adoption and profitability. These gains suggest that current market pricing may not reflect the full value of software innovation. Market participants are now reassessing valuations. Analysts at major institutions have begun revising target prices on software firms, with some upgrading MSFT and META to 'overweight' based on their AI software pipelines. The shift could influence capital allocation, particularly among passive funds tied to broad indices. If software valuation re-pricing accelerates, it may trigger momentum shifts in both mega-cap tech and broader market indices.