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Nvidia’s Jensen Huang says markets ‘got it wrong’ on AI threat to software companies

By Mark GrundellCNBCFebruary 26, 2026 at 2:36 AMBullish1 min read

Nvidia CEO Jensen Huang recently addressed a growing market concern that generative AI represents an existential threat

NVDA price211.14-1.45%
Fwd P/E: 43.34Mkt Cap: $5,204B52w H: 236.54

Nvidia CEO Jensen Huang recently addressed a growing market concern that generative AI represents an existential threat to traditional enterprise software companies. Many investors have feared that 'coding agents' and automated workflows would lead to massive seat-count reductions and pricing pressure for SaaS giants. Huang argues this perspective is flawed, asserting instead that AI will serve as a massive productivity multiplier that allows software firms to expand their addressable markets and increase the value of their licensing. This intervention comes at a critical time as companies like Salesforce, Adobe, and ServiceNow have seen volatile trading patterns as they transition to usage-based AI pricing models. Historically, technology shifts—from on-premise to cloud—have initially sparked fears of obsolescence but ultimately led to sector expansion. For investors, Huang’s comments suggest that the 'intelligence layer' being built on top of existing platforms will bolster margins rather than cannibalize them. The forward-looking implication is a potential re-rating of high-quality software stocks that the market may have oversold in favor of hardware 'picks and shovels.' Investors should monitor upcoming earnings calls for proof of AI monetization beyond the infrastructure layer.

What to watch next

Watch upcoming earnings, policy statements and sector-level price action for confirmation.

Key Takeaways

  • 1Jensen Huang contends that AI will enhance rather than replace the role of enterprise software, acting as a catalyst for deeper digital transformation.
  • 2The market has recently penalized SaaS companies on fears that AI-driven automation would decrease the total number of paid seats required by enterprises.
  • 3Nvidia’s perspective suggests a synergistic relationship where software companies leverage Nvidia's Blackwell architecture to deploy specialized AI agents.
  • 4Recent earnings from firms like Adobe and Oracle show early signs of successfully integrating generative AI into existing subscription models.
  • 5The debate centers on whether value in the AI stack will remain concentrated in hardware and chips or transition to the application layer.

Nvidia CEO Jensen Huang recently addressed a growing market concern that generative AI represents an existential threat to traditional enterprise software companies. Many investors have feared that 'coding agents' and automated workflows would lead to massive seat-count reductions and pricing pressure for SaaS giants. Huang argues this perspective is flawed, asserting instead that AI will serve as a massive productivity multiplier that allows software firms to expand their addressable markets and increase the value of their licensing. This intervention comes at a critical time as companies like Salesforce, Adobe, and ServiceNow have seen volatile trading patterns as they transition to usage-based AI pricing models. Historically, technology shifts—from on-premise to cloud—have initially sparked fears of obsolescence but ultimately led to sector expansion. For investors, Huang’s comments suggest that the 'intelligence layer' being built on top of existing platforms will bolster margins rather than cannibalize them. The forward-looking implication is a potential re-rating of high-quality software stocks that the market may have oversold in favor of hardware 'picks and shovels.' Investors should monitor upcoming earnings calls for proof of AI monetization beyond the infrastructure layer.

Nvidia CEO Jensen Huang recently addressed a growing market concern that generative AI represents an existential threat to traditional enterprise software companies. Many investors have feared that 'coding agents' and automated workflows would lead to massive seat-count reductions and pricing pressure for SaaS giants. Huang argues this perspective is flawed, asserting instead that AI will serve as a massive productivity multiplier that allows software firms to expand their addressable markets and increase the value of their licensing. This intervention comes at a critical time as companies like Salesforce, Adobe, and ServiceNow have seen volatile trading patterns as they transition to usage-based AI pricing models. Historically, technology shifts—from on-premise to cloud—have initially sparked fears of obsolescence but ultimately led to sector expansion. For investors, Huang’s comments suggest that the 'intelligence layer' being built on top of existing platforms will bolster margins rather than cannibalize them. The forward-looking implication is a potential re-rating of high-quality software stocks that the market may have oversold in favor of hardware 'picks and shovels.' Investors should monitor upcoming earnings calls for proof of AI monetization beyond the infrastructure layer. The development arrives against a backdrop of shifting risk appetite, where investors are reassessing exposure to markets and weighing the second-order impact on adjacent sectors. Markets are watching NVDA closely as the story develops. At the latest read, NVDA price stood at 211.14, a -1.4516% move on the day, with a forward P/E near 43.3422 and a market capitalisation around $5204B. Positioning across funds, options skew and

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