- Nvidia (NVDA) shows a drop of 1.92% on Monday, currently trading above $132.49.
- Joe Biden’s administration has published an export rule aimed at limiting the export of artificial intelligence chips.
Nvidia shares rebound from a low not seen since December 20, 2024 at $129.51, reaching a high of the day at $133.40. Currently, NVDA is trading at $133.42, down 1.92% today.
US Commerce Department updates export rules focused on artificial intelligence chips
Just seven days after President-elect Donald Trump took office, the administration led by Joe Biden has issued an updated export rule with the aim of controlling the flow of artificial intelligence chips to different countries, including China.
Through a statement, the White House declared that the rule seeks to limit the GPU chips that countries can request without a special license.. Following this news, Nvidia shares lost 1.92% daily, signing their fourth consecutive week of decline, reaching the lows of December 20, 2024 at $129.51.
Nvidia technical levels
NVDA stock established short-term resistance at $143.95, given by the January 8 high. The next key resistance zone is at $153.13, the January 7 pivot point. On the downside, we see important support at $126.86, the minimum of December 17, 2024.
Nvidia 2-hour chart
Artificial Intelligence Actions FAQs
First, artificial intelligence is an academic discipline that seeks to recreate the cognitive functions, logical understanding, perceptions, and pattern recognition of humans in machines. Often abbreviated to AI, artificial intelligence has a number of subfields including artificial neural networks, machine learning or predictive analytics, symbolic reasoning, deep learning, natural language processing, speech recognition, image recognition, and expert systems. The ultimate goal of the entire field is the creation of artificial general intelligence, or AGI. This means producing a machine that can solve arbitrary problems for which it has not been trained.
There are several different use cases for artificial intelligence. The best known are generative AI platforms that use training on large language models (LLM) to answer text-based queries. These include ChatGPT and Google’s Bard platform. Midjourney is a program that generates original images based on text created by the user. Other forms of AI use probabilistic techniques to determine a quality or perception of an entity, such as Upstart’s lending platform, which uses an AI-enhanced credit scoring system to determine the credit worthiness of applicants by scouring the internet for data. related to your career, wealth profile and relationships. Other types of AI use large databases of scientific studies to generate new ideas about potential pharmaceuticals to be tested in laboratories. YouTube, Spotify, Facebook and other content aggregators use AI applications to suggest personalized content to users by collecting and organizing data about their viewing habits.
Nvidia (NVDA) is a semiconductor company that makes AI-focused computer chips and some of the platforms that AI engineers use to build their applications. Many advocates consider Nvidia to be the safe bet for the AI revolution, creating the tools necessary to realize more applications of artificial intelligence. Palantir Technologies (PLTR) is a “big data” analytics company. It has large contracts with the US intelligence community, which uses its Gotham platform to examine data to determine intelligence leads and report pattern recognition. Its Foundry product is used by large corporations to track employee and customer data for use in predictive analytics and anomaly discovery. Microsoft (MSFT) has a large stake in ChatGPT creator OpenAI, the latter of which has not gone public. Microsoft has integrated OpenAI technology with its Bing search engine.
Following the introduction of ChatGPT to the general public in late 2022, many stocks associated with AI began to rise. Nvidia, for example, advanced more than 200% in the six months after launch. Immediately, Wall Street pundits began to wonder if the market was being consumed by another tech bubble. Famed investor Stanley Druckenmiller, who has had major investments in both Palantir and Nvidia, said bubbles never last just six months. He said that if AI enthusiasm became a bubble, extreme valuations would last at least two and a half years or a long time, like the dotcom bubble in the late 1990s. By mid-2023, the best estimate is that the market is not in a bubble, at least for now. Yes, Nvidia was trading at 27 times forward sales at the time, but analysts were forecasting extremely high revenue growth over the next few years. At the height of the dot-com bubble, the Nasdaq 100 was trading at 60 times earnings, but by mid-2023 the index was trading at 25 times earnings.
Source: Fx Street

I am Joshua Winder, a senior-level journalist and editor at World Stock Market. I specialize in covering news related to the stock market and economic trends. With more than 8 years of experience in this field, I have become an expert in financial reporting.