Dow Jones futures fall following steep Wall Street sell-off, NFP data awaited
- US index futures remain mixed after major indexes suffered their worst single-day drops since April 2025.
- Tech-heavy Nasdaq plunged 5.5% into official correction territory over fears of tighter AI regulations.
- AI hardware and semiconductor leaders like Nvidia, AMD, and Micron led Thursday's heavy market decline.
Dow Jones futures decline 0.85% to trade around 51,170 during the early European hours on Friday. Meanwhile, S&P 500 futures inch higher 0.06% to trade around 7,390 and Nasdaq 100 futures advance 0.90% to trade around 26,990.
US stock futures remain mixed following a severe Wall Street sell-off. The major averages suffered their worst single-day drop since the tariff-driven market turmoil of April 2025, fueled by mounting concerns that Democrats could impose tighter regulations on the artificial intelligence sector.
During Thursday’s regular session, the tech-heavy Nasdaq Composite plunged 5.5%, while the S&P 500 and Dow fell 4.4% and 3.4%, respectively. The sharp decline pushed the Nasdaq more than 10% below its recent peak, officially placing the index back into correction territory.
Companies tied to AI infrastructure took the brunt of the sell-off as investors worried that Democratic policies could slow down data center expansion. Semiconductor and memory-related stocks were hit particularly hard, with chipmakers like Nvidia, AMD, Micron, and SanDisk recording steep losses.
Traders are awaiting the upcoming US Nonfarm Payrolls (NFP) report, which is expected to play a critical role in shaping market expectations for the Federal Reserve's (Fed) December policy decision.
AI stocks FAQs
First and foremost, 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 as AI, artificial intelligence has a number of sub-fields including artificial neural networks, machine learning or predictive analytics, symbolic reasoning, deep learning, natural language processing, speech recognition, image recognition and expert systems. The end goal of the entire field is the creation of artificial general intelligence or AGI. This means producing a machine that can solve arbitrary problems that it has not been trained to solve.
There are a number of different use cases for artificial intelligence. The most well-known of them are generative AI platforms that use training on large language models (LLMs) to answer text-based queries. These include ChatGPT and Google’s Bard platform. Midjourney is a program that generates original images based on user-created text. Other forms of AI utilize probabilistic techniques to determine a quality or perception of an entity, like Upstart’s lending platform, which uses an AI-enhanced credit rating system to determine credit worthiness of applicants by scouring the internet for data related to their career, wealth profile and relationships. Other types of AI use large databases from scientific studies to generate new ideas for possible 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 on their viewing habits.
Nvidia (NVDA) is a semiconductor company that builds both the AI-focused computer chips and some of the platforms that AI engineers use to build their applications. Many proponents view Nvidia as the pick-and-shovel play for the AI revolution since it builds the tools needed to carry out further 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 sift through data and determine intelligence leads and inform on pattern recognition. Its Foundry product is used by major corporations to track employee and customer data for use in predictive analytics and discovering anomalies. Microsoft (MSFT) has a large stake in ChatGPT creator OpenAI, the latter of which has not gone public. Microsoft has integrated OpenAI’s 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 rally. Nvidia for instance advanced well over 200% in the six months following the release. Immediately, pundits on Wall Street began to wonder whether the market was being consumed by another tech bubble. Famous investor Stanley Druckenmiller, who has held major investments in both Palantir and Nvidia, said that bubbles never last just six months. He said that if the excitement over AI did become a bubble, then the extreme valuations would last at least two and a half years or long like the DotCom bubble in the late 1990s. At the midpoint of 2023, the best guess is that the market is not in a bubble, at least for now. Yes, Nvidia traded at 27 times forward sales at that time, but analysts were predicting extremely high revenue growth for years to come. At the height of the DotCom bubble, the NASDAQ 100 traded for 60 times earnings, but in mid-2023 the index traded at 25 times earnings.
Author
Akhtar Faruqui
FXStreet
Akhtar Faruqui is a Forex Analyst based in New Delhi, India. With a keen eye for market trends and a passion for dissecting complex financial dynamics, he is dedicated to delivering accurate and insightful Forex news and analysis.
