Jensen Huang says markets got it wrong on AI threat to software companies as Nvidia posts $68B

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Nvidia CEO Jensen Huang pushed back against fears that AI agents will eliminate enterprise software companies, calling market concerns misguided. Speaking after Nvidia reported $68.13 billion in quarterly revenue, Huang argued that AI agents will leverage existing software tools like ServiceNow and SAP rather than replace them, enhancing productivity instead of cannibalizing the industry.

Nvidia CEO Challenges Market Fears About AI Threat to Software Companies

Jensen Huang, CEO of Nvidia, delivered a pointed message to investors Wednesday: the markets got it wrong on AI threat to software companies. Speaking hours after Nvidia posted impressive financial results driven by strong AI demand, Huang pushed back against growing concerns that agentic AI will replace the software industry

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. His remarks come at a critical moment when investor worries about a potential bubble in AI spending have intensified, particularly around AI's potential impact on SaaS firms.

Source: ET

Source: ET

"I think the markets got it wrong," Huang told CNBC's Becky Quick, addressing fears that AI agents will cannibalize enterprise software companies

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. The Nvidia chief emphasized that platforms like ServiceNow will continue to thrive because AI agents are fundamentally tool users. "Nobody's going to service better than ServiceNow, and they're going to come up with agents that are really fine-tuned and optimized for the work that uses the tools that they have," he explained

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AI Agents Will Enhance, Not Eliminate Software Tools

Huang's vision centers on AI agents functioning as intelligent intermediaries that leverage existing software tools on behalf of humans rather than replacing them. "That's the reason why we also say agents are tool users," he stated, arguing that legacy enterprise platforms such as SAP and ServiceNow exist for fundamentally good reasons and will remain essential

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. According to the Nvidia CEO, AI will function as intelligent software that enhances productivity by operating these tools, ultimately delivering results in formats humans can understand. "In the end, we need the tools to finish their work and put the information back in a way that we can understand," Huang emphasized

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This isn't the first time Huang has defended enterprise software companies against AI displacement fears. Earlier this month, he called the notion of the software industry being replaced by AI "the most illogical thing in the world, and time will prove itself"

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. His consistent messaging suggests Nvidia sees a future where companies integrate AI agents alongside traditional software infrastructure rather than choosing between them.

Strong Revenue Numbers Amid High Demand for AI Hardware

Huang's comments followed Nvidia's impressive financial performance, with revenue for the fiscal fourth quarter climbing 73% year-over-year to $68.13 billion, surpassing analysts' estimates of $66.21 billion

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. The company's annual revenue reached $215.9 billion, driven by intense demand for GPUs that power AI data centres

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. Nvidia issued an upbeat sales forecast for the fiscal first quarter, projecting revenue of $78 billion, plus or minus 2%, significantly exceeding analysts' forecast of $72.6 billion

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"Our customers are racing to invest in AI compute -- the factories powering the AI industrial revolution and their future growth," Huang stated

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. Currently the world's most valuable publicly traded firm with a market capitalization of $4.8 trillion, Nvidia's performance reflects ongoing robust investment in AI infrastructure despite bubble building concerns among some investors

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What This Means for Enterprise Software and AI Investment

The past few weeks have proven challenging for the software industry, with companies like Anthropic introducing tools such as Claude Cowork that have shaken shares of several SaaS firms, including TCS and Infosys

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. Huang's perspective offers a counternarrative: rather than viewing AI as an existential threat, enterprise software companies should position themselves as essential infrastructure that AI agents will depend on to execute tasks effectively. This framing suggests opportunities for software providers to develop AI-native features and interfaces that make their platforms more accessible to AI agents while maintaining their core value proposition. Investors had grown weary that the massive run-up in spending on AI hardware might not be sustainable, but Nvidia's continued momentum and Huang's vision of symbiotic AI-software relationships may reshape how markets evaluate both hardware and software players in the AI ecosystem

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