Gerstner says AI labs need $180B revenue to sustain Nvidia trade

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Reviewed by
Ritika DScanX News Team
Key Highlights
  • Brad Gerstner states AI labs must reach $180B revenue run rate by year-end
  • Combined run rate for Anthropic, OpenAI, and xAI was roughly $100B in July
  • Anthropic's revenue rose from $47B in May to $65B in July
  • Altimeter held $1.88B in Nvidia shares, 19% of its US equity portfolio
  • Semiconductors drove 70% of Nasdaq returns this year
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*this image is generated using AI for illustrative purposes only.

Altimeter Capital founder Brad Gerstner stated that leading AI labs must raise their combined annualized revenue from roughly $100 billion to at least $180 billion by year-end to maintain the current AI investment thesis.

Gerstner, whose firm held nearly $1.9 billion of Nvidia Corp. (NASDAQ: NVDA) shares as of June 30, identified AI lab revenue as the critical market data point during the All-In Summit. He argued that this revenue growth is essential to support the infrastructure spending of major technology firms.

Revenue Targets and Market Expectations

Gerstner estimated that Anthropic, OpenAI, and SpaceX, which owns xAI, had a combined run rate of roughly $100 billion based on July figures. He projected these companies need to reach $180 billion by year-end, an increase of about 80% from his earlier estimate, just to keep the AI trade intact.

He noted that investors are already trading on these figures. Anthropic's revenue run rate reportedly reached $65 billion in July, up from $47 billion in May. Gerstner attributed the spring rally to Anthropic's monthly revenue but noted stocks consolidated after the $65 billion figure fell short of the roughly $75 billion investors had expected.

Company Metric Value Period
Anthropic Revenue run rate $65 billion July
Anthropic Revenue run rate $47 billion May
Altimeter Capital Nvidia stake $1.88 billion June 30

Capex Justification

Gerstner linked the required revenue growth to the massive capital expenditure by Microsoft Corp. (NASDAQ: MSFT) and Alphabet Inc. (NASDAQ: GOOGL). He stated that if these companies are building $1.5 trillion a year in capex, someone must pay for it.

He clarified that Microsoft and Google are building computing capacity to rent out to AI labs like OpenAI and Anthropic, not paying for it themselves. The labs need sufficient revenue from consumers and businesses to cover these costs. Otherwise, he argued, such large-scale capex cannot be sustained.

Portfolio Exposure and Market Context

Altimeter held 9.41 million Nvidia shares worth $1.88 billion at June 30, representing about 19% of its reported U.S. equity portfolio. Its filing also listed $303.5 million of SpaceX shares. Altimeter also holds stakes in Anthropic and OpenAI.

Gerstner described the boom as the largest super cycle in technology history, noting that semiconductors have generated 70% of the Nasdaq's return this year. On Polymarket, traders assign Nvidia a 74% chance of finishing 2026 as the world's largest company, with roughly $7.4 million in trading volume.

Nvidia shares were trading around $220 on Friday morning after gaining 2.5% on Thursday.

What the Numbers Show

The divergence between Anthropic's reported $65 billion run rate and the $75 billion investor expectation highlights the sensitivity of valuations to specific data points. Gerstner's requirement for an 80% increase in combined lab revenue within months underscores the aggressive growth trajectory needed to validate the $1.5 trillion annual capex cycle described by hyperscalers.

Disclaimer: This article is AI-generated using data from ViewTrade. ScanX is not liable for any inaccuracies.

How might hyperscalers like Microsoft and Alphabet adjust their $1.5 trillion capex plans if AI labs fail to meet the $180 billion revenue target by year-end?

What specific monetization strategies must Anthropic and OpenAI deploy to bridge the gap between their current run rates and the aggressive investor expectations?

Could the high sensitivity of Nvidia's valuation to AI lab revenue data lead to increased volatility in semiconductor stocks during upcoming earnings seasons?

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Nvidia CEO Jensen Huang expects chip sales to double next year

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Reviewed by
Naman SScanX News Team
Key Highlights
  • Jensen Huang expects Nvidia to sell twice as many chips next year compared to this year
  • Nvidia shipped 6 million Blackwell GPUs in the four quarters ending October 2025
  • CFO Colette Kress projects ~70% revenue growth for fiscal year ending January 2028
  • Huang anticipates global AI infrastructure spending to reach $3 trillion to $4 trillion by 2030
  • Rental prices for older H100 GPUs continue to climb, supporting the view of durable compute assets
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*this image is generated using AI for illustrative purposes only.

Nvidia Corporation (NASDAQ: NVDA) CEO Jensen Huang projects that the company will sell twice as many chips next year as it does this year. The outlook reflects his view of sustained global demand for artificial intelligence infrastructure.

Huang made the projection at a summit with King Charles III in Scotland on Thursday. He attributed the expected growth to rising AI investment across sectors and economies, noting that people in almost every country where Nvidia operates want to invest in AI.

Sales Volume Context

Nvidia does not disclose total chip sales volume. However, during the GTC October 2025 Keynote, Huang reported that Nvidia had shipped 6 million Blackwell GPUs over the preceding four quarters. This figure provides a baseline for understanding the scale of the company's current distribution, against which the projected doubling of sales next year can be measured.

AI Safety and Regulation

Huang attended the U.K. summit alongside representatives from Alphabet Inc.'s Google (NASDAQ: GOOG), DeepMind, OpenAI, and Anthropic to discuss AI safety. While acknowledging safety issues, Huang pushed back against calls for a broader slowdown in AI development.

"When a product is not safe, we should hold it back and keep engineering it," Huang said. He emphasized that labs do not need new rules to ensure safety, countering narratives of an impending AI slowdown.

Long-Term Spending Outlook

Earlier this month, Huang described Nvidia as the "World’s First and Only Growth Value Stock." He positioned the company's expanding AI platform, broad customer base, and infrastructure partnerships to capture the next phase of global AI spending. Huang anticipates AI infrastructure spending to reach $3 trillion to $4 trillion by 2030.

This long-term view aligns with CFO Colette Kress’s projection of approximately 70% revenue growth for the fiscal year ending January 2028, as discussed during the company’s Q2 earnings call.

Asset Durability

Huang also emphasized the value of AI computing hardware as a financeable asset. He noted that rental prices for Nvidia’s older H100 GPUs continue to climb. This trend reinforces his view that "NVIDIA compute is fungible, durable and highly rentable," suggesting that even older hardware retains significant economic value in the current market.

What the Numbers Show

The combination of Huang’s expectation for doubled chip sales and the reported shipment of 6 million Blackwell GPUs in the last four quarters highlights a massive scale of operations. While Nvidia does not report total volume, the specific disclosure of Blackwell shipments serves as a key indicator of its current production capacity and market penetration, providing context for the aggressive growth forecast.

Disclaimer: This article is AI-generated using data from ViewTrade. ScanX is not liable for any inaccuracies.

How might the projected doubling of chip sales impact global semiconductor supply chain constraints and lead times for enterprise customers?

Could regulatory pushback against AI development in key markets like the EU or China offset the anticipated surge in global infrastructure spending?

What are the implications for Nvidia's gross margins if older H100 GPUs remain highly rentable, potentially cannibalizing demand for newer Blackwell units?

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