Nvidia Overtakes Apple as World’s Most Valuable Company

 A man walks past the Nvidia logo at the company's AI Summit in Mumbai, India, October 24, 2024. (Reuters)
A man walks past the Nvidia logo at the company's AI Summit in Mumbai, India, October 24, 2024. (Reuters)
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Nvidia Overtakes Apple as World’s Most Valuable Company

 A man walks past the Nvidia logo at the company's AI Summit in Mumbai, India, October 24, 2024. (Reuters)
A man walks past the Nvidia logo at the company's AI Summit in Mumbai, India, October 24, 2024. (Reuters)

Nvidia dethroned Apple as the world's most valuable company on Friday, following a record-setting rally in the stock powered by an insatiable demand for its new supercomputing AI chips.

Nvidia's stock market value briefly touched $3.53 trillion, while that of Apple was $3.52 trillion, according to data from LSEG.

In June, Nvidia briefly became the world's most valuable company, before it was overtaken by Microsoft and Apple. The tech trio's market capitalizations have been neck-and-neck for several months. Microsoft's market value stood at $3.20 trillion.

Nvidia's stock has risen about 18% so far in October, with a string of gains coming after OpenAI, the company behind ChatGPT, announced a funding round of $6.6 billion. Nvidia provides chips used to train so-called foundation models such as OpenAI's GPT-4.

"More companies are now embracing artificial intelligence in their everyday tasks and demand remains strong for Nvidia chips," said Russ Mould, investment director at AJ Bell.

"It is certainly in a sweet spot and so long as we avoid a big economic downturn in the United States, there is a feeling that companies will continue to invest heavily in AI capabilities, creating a healthy tailwind for Nvidia."

Nvidia's shares hit a record high on Tuesday, building on a rally from last week when TSMC, the world's largest contract chipmaker, posted a forecast-beating 54% jump in quarterly profit driven by soaring demand for chips used in AI.

The next big test will be when Nvidia reports third-quarter results in November. Nvidia in August forecast third-quarter revenue of $32.5 billion, plus or minus 2%, compared with the current average analyst expectation of $32.90 billion, according to data compiled by LSEG.

Morgan Stanley analyst Joseph Moore said in a note dated Oct. 10 that he remains "very bullish" about the company longer term, but the recent rally "raises the bar for earnings somewhat".

After a meeting with Nvidia's CEO Jensen Huang, Moore noted the ramp up in production of its next-generation Blackwell chips appeared to be "quite strong" and are booked out for 12 months. The stock came under pressure in August after Nvidia confirmed reports that the production of Blackwell chips was delayed until the fourth quarter.

Shares of Nvidia, Apple and Microsoft have an outsized influence on the richly valued technology sector as well as the broader US stock market, with the trio accounting for about a fifth of the S&P 500 index's weightage.

Frenzy around the prospects of AI, expectations that the US Federal Reserve will considerably bring down interest rates, and most recently, an upbeat start to the earnings season, have pushed the benchmark S&P 500 to an all-time high last week.

Nvidia's massive gains have helped boost the stock's appeal for option traders and the company's options are among the most traded on any given day in recent months, according to data from options analytics provider Trade Alert.

The stock has surged nearly 190% so far this year as a boom in generative AI prompted the company to issue a series of blowout forecasts.

"The question is whether the revenue stream will last for a long time and will be driven by the emotion of investors rather than by any ability to prove or disprove the thesis that AI is overdone," said Rick Meckler, partner at Cherry Lane Investments, a family investment office in New Vernon, New Jersey.

"I think Nvidia knows that near term, their numbers are likely to be quite remarkable."



Italy Watchdog Orders Meta to Halt WhatsApp Terms Barring Rival AI Chatbots

The logo of Meta is seen at Porte de Versailles exhibition center in Paris, France, June 11, 2025. (Reuters)
The logo of Meta is seen at Porte de Versailles exhibition center in Paris, France, June 11, 2025. (Reuters)
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Italy Watchdog Orders Meta to Halt WhatsApp Terms Barring Rival AI Chatbots

The logo of Meta is seen at Porte de Versailles exhibition center in Paris, France, June 11, 2025. (Reuters)
The logo of Meta is seen at Porte de Versailles exhibition center in Paris, France, June 11, 2025. (Reuters)

Italy's antitrust authority (AGCM) on Wednesday ordered Meta Platforms to suspend contractual terms ​that could shut rival AI chatbots out of WhatsApp, as it investigates the US tech group for suspected abuse of a dominant position.

A spokesperson for Meta called the decision "fundamentally flawed," and said the emergence of AI chatbots "put a strain on our systems that ‌they were ‌not designed to support".

"We ‌will ⁠appeal," ​the ‌spokesperson added.

The move is the latest in a string by European regulators against Big Tech firms, as the EU seeks to balance support for the sector with efforts to curb its expanding influence.

Meta's conduct appeared capable of restricting "output, market ⁠access or technical development in the AI chatbot services market", ‌potentially harming consumers, AGCM ‍said.

In July, the ‍Italian regulator opened the investigation into Meta over ‍the suspected abuse of a dominant position related to WhatsApp. It widened the probe in November to cover updated terms for the messaging app's business ​platform.

"These contractual conditions completely exclude Meta AI's competitors in the AI chatbot services ⁠market from the WhatsApp platform," the watchdog said.

EU antitrust regulators launched a parallel investigation into Meta last month over the same allegations.

Europe's tough stance - a marked contrast to more lenient US regulation - has sparked industry pushback, particularly by US tech titans, and led to criticism from the administration of US President Donald Trump.

The Italian watchdog said it was coordinating with the European ‌Commission to ensure Meta's conduct was addressed "in the most effective manner".


Amazon Says Blocked 1,800 North Koreans from Applying for Jobs

Amazon logo (Reuters)
Amazon logo (Reuters)
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Amazon Says Blocked 1,800 North Koreans from Applying for Jobs

Amazon logo (Reuters)
Amazon logo (Reuters)

US tech giant Amazon said it has blocked over 1,800 North Koreans from joining the company, as Pyongyang sends large numbers of IT workers overseas to earn and launder funds.

In a post on LinkedIn, Amazon's Chief Security Officer Stephen Schmidt said last week that North Korean workers had been "attempting to secure remote IT jobs with companies worldwide, particularly in the US".

He said the firm had seen nearly a one-third rise in applications by North Koreans in the past year, reported AFP.

The North Koreans typically use "laptop farms" -- a computer in the United States operated remotely from outside the country, he said.

He warned the problem wasn't specific to Amazon and "is likely happening at scale across the industry".

Tell-tale signs of North Korean workers, Schmidt said, included wrongly formatted phone numbers and dodgy academic credentials.

In July, a woman in Arizona was sentenced to more than eight years in prison for running a laptop farm helping North Korean IT workers secure remote jobs at more than 300 US companies.

The scheme generated more than $17 million in revenue for her and North Korea, officials said.

Last year, Seoul's intelligence agency warned that North Korean operatives had used LinkedIn to pose as recruiters and approach South Koreans working at defense firms to obtain information on their technologies.

"North Korea is actively training cyber personnel and infiltrating key locations worldwide," Hong Min, an analyst at the Korea Institute for National Unification, told AFP.

"Given Amazon's business nature, the motive seems largely economic, with a high likelihood that the operation was planned to steal financial assets," he added.

North Korea's cyber-warfare program dates back to at least the mid-1990s.

It has since grown into a 6,000-strong cyber unit known as Bureau 121, which operates from several countries, according to a 2020 US military report.

In November, Washington announced sanctions on eight individuals accused of being "state-sponsored hackers", whose illicit operations were conducted "to fund the regime's nuclear weapons program" by stealing and laundering money.

The US Department of the Treasury has accused North Korea-affiliated cybercriminals of stealing over $3 billion over the past three years, primarily in cryptocurrency.


KAUST Scientists Develop AI-Generated Data to Improve Environmental Disaster Tracking

King Abdullah University of Science and Technology (KAUST) logo
King Abdullah University of Science and Technology (KAUST) logo
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KAUST Scientists Develop AI-Generated Data to Improve Environmental Disaster Tracking

King Abdullah University of Science and Technology (KAUST) logo
King Abdullah University of Science and Technology (KAUST) logo

King Abdullah University of Science and Technology (KAUST) and SARsatX, a Saudi company specializing in Earth observation technologies, have developed computer-generated data to train deep learning models to predict oil spills.

According to KAUST, validating the use of synthetic data is crucial for monitoring environmental disasters, as early detection and rapid response can significantly reduce the risks of environmental damage.

Dean of the Biological and Environmental Science and Engineering Division at KAUST Dr. Matthew McCabe noted that one of the biggest challenges in environmental applications of artificial intelligence is the shortage of high-quality training data.

He explained that this challenge can be addressed by using deep learning to generate synthetic data from a very small sample of real data and then training predictive AI models on it.

This approach can significantly enhance efforts to protect the marine environment by enabling faster and more reliable monitoring of oil spills while reducing the logistical and environmental challenges associated with data collection.