Nvidia Forecasts 70% Revenue Growth and Expands Support for Open AI Models

2026-08-27

The BareStory

Nvidia reported a doubling of its quarterly revenue and projected a 70 percent revenue increase for fiscal 2028, exceeding market expectations. Following the earnings release, the company’s stock advanced, with projections indicating the growth could position Nvidia as the second-largest United States technology company by revenue.

Chief Financial Officer Colette Kress announced the fiscal 2028 forecast during the earnings report, while Chief Executive Officer Jensen Huang stated that underlying market demand exceeds the company's projection. Huang noted that the guidance reflects limits in supply chain capacity, including shortages in memory components, as customer demand expands across regional artificial intelligence firms, startups, and enterprises.

Concurrently, Nvidia has expanded hardware support and software updates across its computing systems for open artificial intelligence models, including Chinese-developed systems from Alibaba and DeepSeek as well as models from Google. In a regulatory filing with the Securities and Exchange Commission, Nvidia warned that potential United States government restrictions on foreign open-source foundation models could materially impact its business operations.

Left Perspective

Democratize Innovation Through Open Systems
Scrutinize Hyper-Concentrated Tech Power
Resist Protectionist Regulatory Barriers

Right Perspective

Harness Relentless Capital Expansion
Capture Pragmatic Global Markets
Manage Regulatory Supply Constraints

Left Perspective

• Democratize Innovation Through Open Systems Broad technological progress requires breaking down proprietary barriers rather than locking compute power behind closed corporate walls. Expanding hardware and software integration for open models like DeepSeek, Alibaba, and Google enables startups and regional developers to build AI tools without paying exorbitant licensing fees to dominant closed-ecosystem platforms. Supporting non-proprietary architectures decentralizes capability and prevents a handful of tech incumbents from monopolizing foundational computing resources.

• Scrutinize Hyper-Concentrated Tech Power Nvidia's trajectory toward becoming the second-largest U.S. technology firm highlights an alarming concentration of corporate leverage over essential infrastructure. When a single firm commands the critical hardware pipeline, it captures outsized economic rents from downstream startups and regional enterprises desperate for compute capacity. Extreme wealth accumulation at the hardware layer risks distorting market incentives and draining resources away from broader digital public goods.

• Resist Protectionist Regulatory Barriers Imposing government restrictions on foreign open-source AI models prioritizes geopolitical containment over global scientific collaboration and open knowledge exchange. Warning of material risks from federal limits reflects the danger of using national security mandates to fracture the international open-source community. Arbitrary state interventions disrupt the shared research commons and disproportionately burden smaller developers who rely on accessible, globally sourced software foundations.

Right Perspective

• Harness Relentless Capital Expansion Market efficiency and massive capital investment are the only viable mechanisms to satisfy unprecedented enterprise demand for advanced computing. Doubling quarterly revenue and forecasting 70 percent annual growth proves that high returns on capital successfully incentivize the massive infrastructure buildouts required for next-generation computing. Rewarding corporate scalability provides the financial strength necessary to resolve hardware bottlenecks and expand overall production limits.

• Capture Pragmatic Global Markets Maintaining commercial leadership requires serving the entire spectrum of enterprise software demand regardless of geographic origin. Optimizing computing systems for diverse models from Alibaba, DeepSeek, and Google ensures domestic hardware remains the universal foundation for global AI deployment. Forcing hardware vendors to artificially restrict support for competitive software frameworks forfeits lucrative international market share and undermines corporate competitiveness.

• Manage Regulatory Supply Constraints Physical component shortages and looming regulatory interventions represent artificial friction against productive market equilibrium. Chief Executive Officer Jensen Huang’s acknowledgment that demand outstrips supply underscores the need for private supply chain optimization rather than disruptive state mandates. SEC warnings regarding proposed open-source restrictions correctly identify how unpredictable government policies threaten revenue stability, deter long-term capital forecasting, and distort commercial operations.

How it may affect me

As a U.S. reader:

• Expanded hardware support for open artificial intelligence models enables regional developers and startups to build tools without paying licensing fees for closed platforms.

• Component shortages and hardware concentration may constrain computing supply and increase costs for downstream businesses seeking compute capacity in the short term.

• Sustained capital investment and revenue growth could eventually help resolve manufacturing bottlenecks and expand overall advanced computing infrastructure in the long term.

• Potential federal restrictions on foreign open-source models could create operational hurdles and reduce access for domestic developers who utilize international software foundations.

Nvidia Forecasts 70% Revenue Growth and Expands Support for Open AI Models

The BareStory

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