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Nvidia faces Wall Street’s high expectations two years into AI boom

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Nvidia CEO Jensen Huang attends the “Winning the AI Race” Summit in Washington D.C., U.S., July 23, 2025.

Kent Nishimura | Reuters

It’s been two years since the explosion of generative artificial intelligence started to transform Nvidia’s business. Since then, the chipmaker’s revenue has more than tripled and profits have quadrupled.

Nvidia‘s fiscal second-quarter earnings report, scheduled for Wednesday, will mark the second anniversary of growth, as the company shifted from being known as a maker of gaming chips to its current position at the heart of the technology industry.

Last month, Nvidia became the first company to hit a $4 trillion market cap, and it’s continued to appreciate in value. Since the end of 2022, around the time OpenAI launched ChatGPT and sparked the generative AI boom, Nvidia’s stock price is up twelvefold. It’s up 33% this year, closing on Friday at $177.99.

Growth is still substantial for a company Nvidia’s size, but it has slowed dramatically. After five straight quarters of triple-digit expansion in 2023 and 2024, growth dipped to 69% in the fiscal first quarter this year. Nvidia is expected to report a year-over-year jump of 53% to $45.9 billion in its second-quarter report, according to LSEG’s consensus of analyst estimates.

Data center revenue in the first quarter accounted for 88% of Nvidia’s total sales, the clearest sign of how significant AI has become to its business. The company said that 34% of total sales last year came from three unnamed customers. Analysts say Nvidia’s top end users are major internet companies and cloud providers such as Microsoft, Google, Amazon and Meta.

“The assumptions and performance of Nvidia really dictates what the market is going to start to price into the AI trade, and that whole AI trade has essentially been driving the market this past year,” said Melissa Otto, head of Visible Alpha Research at S&P Global, which aggregates Wall Street research.

Nvidia makes up about 7.5% of the S&P 500.

Tech’s megacap companies, other than Nvidia, reported quarterly results in late July, updating Wall Street on their investment plans. In all, they’re looking to spend roughly $320 billion on AI technology and data center buildouts this year.

OpenAI, which is still private but has a valuation in the hundreds of billions of dollars, says it will team up with SoftBank and Oracle to spend $500 billion over the next four years on the Stargate project, which President Donald Trump announced in January.

Jensen Huang, co-founder and CEO of Nvidia, displays the new Blackwell GPU chip during the Nvidia GPU Technology Conference in San Jose, California, on March 18, 2024.

David Paul Morris/Bloomberg via Getty Images

Analysts say about half of AI capital spending ends up with Nvidia. The company’s reliance on the so-called hyperscalers leaves it vulnerable to changes in the macroeconomic environment and in the artificial intelligence industry, which remains hard to predict.

OpenAI CEO Sam Altman said last week that he believes “investors as a whole are overexcited about AI,” and even said it could be a “bubble.”

But don’t expect a pullback yet. OpenAI CFO Sarah Friar told CNBC on Wednesday that the company “constantly” doesn’t have enough computing power.

As always, Wall Street will be paying close attention to Nvidia’s guidance and other forward-looking commentary from CEO Jensen Huang. For the fiscal third quarter, analysts are expecting revenue growth of 50% to $52.7 billion, according to LSEG. If Nvidia guides higher and tops estimates for the second quarter, analysts say that kind of “beat and raise” could drive AI optimism even higher.

Blackwell ramp

One visible sign of Nvidia’s rise is Huang’s worldwide fame. He’s regularly name-checked by Trump and during the quarter traveled to meet with business leaders and officials in Taiwan, China, Germany, England and Saudi Arabia.

Huang recently struck a deal with Trump to regain access to the Chinese market. Nvidia will pay 15% of its China chip revenue to the U.S. government in exchange for licenses to export its China-focused AI chip called the H20, Trump said this month. The president added that he’d asked for 20%, but Huang bargained him down.

The H20 is worth a lot to Nvidia. The chip would have contributed about $8 billion in sales in the second quarter, Nvidia said in May, before the U.S. government said it would require a license to ship it to China, effectively shutting off sales.

Nvidia did not include any H20 sales in its guidance for the second quarter, and analysts doubt that it will include any in its forecast for the current period, partially because the Chinese government is pressuring its cloud providers to use homegrown chips from companies such as Huawei.

If H20 is included in guidance, it could boost revenue expectations by about $2 billion to $3 billion, according to analysts at KeyBanc, who recommend buying the stock. But they said they expect Nvidia to completely exclude it, following Advanced Micro Devices’ lead from early August.

“Additionally, given a potential 15% tax on AI exports and pressure from the China government for its AI providers to use domestic AI chips, we expect management to guide conservatively,” the KeyBanc analysts wrote.

Nvidia is working on a new China AI chip based on Blackwell that would also likely need the president’s approval.

“I’m sure he’s pitching the president all the time,” Commerce Secretary Howard Lutnick said about Huang last week on CNBC’s “Squawk on the Street.” 

WATCH: CNBC’s interview with Commerce Secretary Howard Lutnick



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Researchers make AI-powered tool to detect plant diseases

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A team of researchers at Maharshi Dayanand University (MDU), Rohtak, has developed an artificial intelligence (AI)-based tool capable of detecting diseases and nutrient deficiencies in bitter gourd leaves, potentially transforming the way farmers monitor crop health.

The study, recently published in the peer-reviewed journal ‘Current Plant Biology’ (Elsevier), highlights how AI-driven innovations can play a crucial role in real-time crop monitoring and precision farming.

The newly developed web-based application, named ‘AgriCure’, is powered by a layered augmentation-enhanced deep learning model. It allows farmers to diagnose crop health by simply uploading or capturing a photograph of a leaf using a smartphone.

“Unlike traditional methods, which are time-consuming and often require expert intervention, AgriCure instantly analyses the image to determine whether the plant is suffering from a disease or nutrient deficiency, and then offers corrective suggestions,” explained the researchers.

The collaborative research project was led by Dr Kamaldeep Joshi, Dr Rainu Nandal and Dr Yogesh Kumar, along with students Sumit Kumar and Varun Kumar from MDU’s University Institute of Engineering and Technology (UIET). It also involved Prof Narendra Tuteja from the International Centre for Genetic Engineering and Biotechnology (ICGEB), New Delhi and Prof Ritu Gill and Prof Sarvajeet Singh Gill from MDU’s Centre for Biotechnology.

MDU Vice-Chancellor, Prof Rajbir Singh, congratulated the research team on their achievement.

According to the researchers, AgriCure can detect major diseases such as downy mildew, leaf spot, and jassid infestation, as well as key nutrient deficiencies like nitrogen, potassium and magnesium.

“This represents a step towards sustainable agriculture, where AI empowers farmers with real-time decision-making tools,” said corresponding authors Prof Ritu Gill and Prof Sarvajeet Singh Gill. They added that the web-based platform can be integrated with mobile devices for direct use in the field.

The team believes that the technology’s core framework can be extended to other crops such as cereals, legumes, and fruits, creating opportunities for wider applications across Indian agriculture.

Looking ahead, they plan to integrate AgriCure with drones and Internet of Things (IoT) devices for large-scale monitoring, and to develop lighter versions of the model for full offline use on mobile phones.





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Competition to introduce artificial intelligence (AI) is fierce not only in industrial areas but als..

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Competition to introduce AI to the diplomatic front lines of major countries The U.S. actively utilizes the State Department’s exclusive “State Chat” to brainstorm foreign policy. Canada uses it to analyze major countries’ policies

[Photo = Yonhap News]

Competition to introduce artificial intelligence (AI) is fierce not only in industrial areas but also in diplomacy, which is the front line of competition between countries. The U.S. State Department is increasing the work efficiency of diplomats through its own AI. Japan spends more than 600 billion won a year to detect false information. The move is aimed at preventing the possibility that fake information will be misused to establish national diplomatic strategies.

In the United States, the State Department has been operating its own AI ‘State Chat’ since last year. It is an interactive AI in the form of ‘Chat GPT’, similar to the method promoted by the Korean Ministry of Foreign Affairs. It provides functions such as summarizing internal business documents and professional analysis. E-mails used by diplomats are also drafted according to the format and even have the function of helping “brainstorming” in relation to foreign policy or strategy.

StateChat is dramatically reducing the amount of time State Department employees spend on mechanical tasks. According to State Department estimates, the total amount of time saved by all employees through their own AI amounts to 20,000 to 30,000 hours per week.

The State Department plans to continue expanding the use of StateChat. State Chat is also used for job training. This is due to the advantage of minimizing information that may be omitted during the handover process and enabling in-depth learning by providing data containing stories. State Chat will also be used to manage manpower. Information related to personnel management is also entered in State Chat.

[Photo = Yonhap News]
[Photo = Yonhap News]

Japan has been building a situation analysis system using AI since 2022. AI finally judges the situation by combining reports from local diplomats with external information such as foreign social network service (SNS) posts, reports from research institutes, and media reports. For example, if social media analysis detects residents’ disturbance in a specific area, AI warns of the risk of terrorism or riots.

From 2023, it is using AI to detect fake news that is mainly spread through SNS. It analyzes not only text but also various media types of content such as images, audio, and video. It is a method of measuring the consistency of information based on a large language model (LLM) and then determining whether it is false. In particular, Japan calculates and presents the social impact, such as the scale and influence of the fake news.

Japan believes that numerous fake news after the Fukushima nuclear power plant accident has undermined national trust and caused unnecessary diplomatic friction. Japan allocated about 66.2 billion yen (626.5 billion won) in the fiscal 2025 budget to the policy and technology sectors to respond to false information.

Canada introduced a ‘briefing note’ using Generative AI in 2022. A draft policy briefing document is created by analyzing and reviewing policy-related data of major countries. Finland operates a system that collects diplomatic documents through AI and summarizes them on its own, and even visualization functions are provided. The UK has introduced AI to consular services. Classify the services frequently requested by their citizens staying abroad to overseas missions and provide optimal answers.

Last year, France developed an AI tool that summarizes and analyzes diplomatic documents and external data and is using it to detect ‘reverse information (fake news or false information)’ overseas and to identify public opinion trends. The United Arab Emirates (UAE) has introduced an unmanned overseas mission model that provides consular services based on AI.



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How artificial intelligence is transforming hospitals

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Story highlights

AI is changing healthcare. From faster X-ray reports to early warnings for sepsis, new tools are helping doctors diagnose quicker and more accurately. What the future holds for ethical and safe use of AI in hospitals is worth watching. Know more below.



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