Nvidia’s 70% Sales Growth Forecast Sends a Strong Message to AI Doubters
Nvidia’s latest earnings have delivered a clear message to investors questioning whether the artificial intelligence boom is losing momentum: the company expects the AI infrastructure spending cycle to remain powerful.
After reporting $96.2 billion in revenue for the second quarter of fiscal 2027, up 106% from a year earlier, Nvidia forecast $108 billion in third-quarter revenue. More significantly, CEO Jensen Huang pointed to
expectations of roughly 70% sales growth in fiscal 2028, reinforcing his view that AI investment is still expanding rather than approaching an immediate slowdown.
The forecast matters because Nvidia has become one of the clearest indicators of global AI spending. Its chips and computing systems are used by cloud companies, AI developers and enterprises building the infrastructure behind advanced artificial intelligence. For investors, Huang’s message was essentially that the AI buildout is moving into a broader phase, with demand extending beyond the first wave of hyperscale customers.
What Did Jensen Huang Say About the AI Boom?
Jensen Huang’s most direct message was that AI is increasingly creating economic value, which in turn is driving demand for computing infrastructure.
“AI has reached its inflection point,” Huang said during the discussion around Nvidia’s results. He argued that AI is now doing useful work and generating value, linking the growth in AI usage directly to rising demand for computing power.
Huang also said demand is accelerating. In Nvidia’s earnings statement, he pointed to the expansion of the AI ecosystem—from a period when demand was heavily concentrated among a small number of major players to a broader market involving new AI labs, startups, frontier model developers, open-model ecosystems and physical AI applications.
Why the 70% Forecast Matters
The approximately 70% revenue growth outlook for fiscal 2028 was particularly significant because it was well above the roughly 44% growth expectation cited by Wall Street projections. Nvidia is also dealing with supply constraints, particularly involving memory components, suggesting that the company sees demand exceeding what it can immediately supply.
For AI sceptics, this forecast does not prove that the current investment boom will continue forever. However, it provides strong evidence that Nvidia itself sees substantial demand extending beyond the current quarter.
The company’s argument is based on a broadening customer base. Hyperscalers such as major cloud providers remain important, but AI labs, startups, enterprises and governments are also becoming increasingly important buyers of AI computing capacity.
The Supply Constraint Is an Important Part of the Story
One of the most notable details from the earnings discussion was that Nvidia's growth could potentially be higher without supply bottlenecks.
Huang indicated that demand remains stronger than the company's current ability to supply products. Memory shortages and rising component costs are creating constraints, while the rollout of Nvidia's next-generation Vera Rubin platform adds another major product transition. Reuters reported that Vera Rubin is expected to contribute around 20% of Data Center revenue in the current quarter.
This distinction is important for investors.
A company missing growth targets because customers do not want its products is very different from a company whose sales are limited by how much it can manufacture and deliver. Nvidia's current challenge, based on management's outlook, appears to be closer to the second scenario.
That does not eliminate risk. Supply constraints can increase costs and pressure profit margins. Nvidia has indicated that higher memory and component costs could weigh on gross margins, which are expected to decline further before potentially improving later.
Nvidia’s Latest Results Show the Scale of AI Demand
Nvidia reported $96.22 billion in second-quarter revenue, more than doubling from the previous year. Data Center revenue reached $89 billion, up 117% year-on-year, while adjusted earnings per share were $2.22. The company projected $108 billion, plus or minus 2%, in third-quarter revenue.
These numbers matter because Nvidia has become one of the clearest measures of global spending on AI infrastructure.
The company's processors are used to train and operate large AI models, while its networking and systems businesses support the construction of increasingly large AI data centers. When Nvidia sees strong orders, it often reflects broader capital spending across the technology sector.
The latest results therefore suggest that the AI infrastructure cycle remains strong, even as investors debate whether companies spending billions on data centers will eventually generate sufficient returns from AI products and services.
A Broader AI Customer Base Could Support the Next Growth Phase
One concern around Nvidia has been its dependence on a relatively small group of major customers. Large cloud companies have accounted for a substantial portion of global AI infrastructure spending.
The company's latest commentary suggests that Nvidia expects this customer base to broaden.
According to the latest reporting, frontier AI labs are expected to become increasingly important customers, alongside hyperscalers, enterprises and governments. Reuters reported that AI labs, including companies such as OpenAI, could account for a significant share of Nvidia's business in the coming fiscal year.
For Nvidia, that could reduce dependence on a small number of technology giants. For the broader market, it suggests that AI infrastructure spending may be spreading into more industries.
That is one of the strongest arguments behind the company's long-term growth outlook.
China Remains a Major Uncertainty
Despite the optimistic forecast, Nvidia's China business remains an important risk.
The company did not include China Data Center compute revenue in its latest outlook. U.S. restrictions on advanced semiconductor exports and uncertainty surrounding shipments continue to complicate Nvidia's access to one of the world's largest technology markets.
This means Nvidia's growth forecast is being made despite uncertainty around a potentially significant market.
If regulatory conditions improve, China could represent additional upside. However, investors should treat that as a possibility rather than an assumption.
What This Means for Nvidia Investors
The immediate market reaction showed just how high expectations have become.
Nvidia shares initially fell after the earnings announcement before recovering sharply as investors focused on the stronger longer-term growth outlook. Reports indicated that the stock rose around 4% in after-hours trading following the forecast and earnings discussion.
For investors, the key point is that Nvidia's business growth and its stock performance should be considered separately.
The company is producing extraordinary revenue growth, but Nvidia's valuation already reflects very high expectations. Future stock performance will depend not only on whether revenue grows, but also on whether growth exceeds market expectations.
Key things investors should watch:
Delivery of the $108 billion Q3 revenue forecast
Progress in the Vera Rubin platform rollout
Gross margin trends amid higher memory costs
Capital expenditure by major cloud and AI companies
Growth in demand from AI labs, startups and enterprises
Supply constraints and component availability
U.S.-China technology restrictions
Competition from AMD, custom AI chips and other alternatives
The Bottom Line
Nvidia’s forecast of approximately 70% revenue growth in fiscal 2028 is one of the strongest signals yet that the company does not expect the AI infrastructure boom to fade soon.
Jensen Huang’s central message was straightforward: AI is moving from experimentation toward economically useful applications, and that transition is creating more demand for computing power. Nvidia also believes its customer base is expanding beyond a small group of hyperscalers to include AI labs, startups, enterprises and physical AI applications.
The risks remain real. Memory shortages, rising costs, China-related uncertainty and the long-term return on massive AI investments could all affect the outlook.
But for now, Nvidia's latest results and forecast offer a strong counterargument to the idea that AI spending is already approaching its peak.
Follow our blog for more updates on Nvidia, artificial intelligence, global technology companies, stock markets and the trends shaping the future of business.
This article is for informational and educational purposes only and should not be considered investment advice
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