Dow Jones futures decline as markets await NFP data after sharp Wall Street sell-off

A mixed trend persists in US index futures following the major indices’ steepest one-day losses since April 2025.
Concerns over stricter AI regulation sent the technology-heavy Nasdaq down 5.5%, putting it officially in correction territory.
Thursday’s sharp market sell-off was led by AI hardware and semiconductor majors, including Nvidia, AMD, and Micron.

A mixed trend marks early European trading on Friday, with Dow Jones futures down 0.85% at around 51,170. By contrast, S&P 500 futures edge up 0.06% to around 7,390, while Nasdaq 100 futures gain 0.90% to around 26,990.

TMGM Analysis: Financial Market News, Economic Calendar & Market Insights

Following a sharp sell-off on Wall Street, US stock futures are showing a mixed trend. Growing concerns that Democrats could tighten regulation of the artificial intelligence sector drove the major indices to their largest one-day declines since the tariff-led market upheaval in April 2025.

The Nasdaq Composite is officially back in correction territory after falling more than 10% from its recent high. In Thursday’s regular trading session, the technology-heavy index slumped 5.5%, alongside declines of 4.4% in the S&P 500 and 3.4% in the Dow.

Fears that Democratic policies could curb data centre expansion left AI infrastructure companies bearing the heaviest selling pressure. Semiconductor and memory stocks were particularly badly affected, with Nvidia, AMD, Micron, and SanDisk among the chipmakers posting substantial losses.

Attention now turns to the forthcoming US Nonfarm Payrolls (NFP) report. Traders expect the release to be crucial in shaping market expectations for the Federal Reserve's (Fed) policy decision in December.

AI stocks: key questions answered

What does artificial intelligence involve?

At its core, artificial intelligence is an academic field aimed at reproducing human cognitive functions, logical understanding, perception and pattern recognition in machines. Commonly shortened to AI, it encompasses several sub-fields: artificial neural networks, machine learning or predictive analytics, symbolic reasoning, deep learning, natural language processing, speech recognition, image recognition and expert systems. The field’s ultimate objective is to develop artificial general intelligence, or AGI. Such a machine would be able to tackle arbitrary problems without having been trained specifically to solve them.

How is AI used in practice?

Artificial intelligence has a wide range of applications. Among the best known are generative AI platforms, including ChatGPT and Google’s Bard platform, which respond to text-based queries using training on large language models (LLMs). Another program, Midjourney, creates original images from text supplied by users. Some forms of AI apply probabilistic techniques to assess an entity’s attributes or how it is perceived. Upstart’s lending platform, for example, evaluates applicants’ creditworthiness through an AI-enhanced credit rating system that searches the internet for information about their careers, wealth profiles and relationships. Elsewhere, AI draws on extensive databases of scientific studies to propose potential new pharmaceuticals for laboratory testing. Content aggregators such as YouTube, Spotify and Facebook also deploy AI applications: by gathering and organising information about users’ viewing habits, they recommend personalised content.

Which stocks offer exposure to AI?

Semiconductor company Nvidia (NVDA) produces AI-focused computer chips as well as some of the platforms engineers use to develop AI applications. Because it supplies the tools needed for further uses of artificial intelligence, many supporters regard Nvidia as a picks-and-shovels investment in the AI revolution. Another company in the field is Palantir Technologies (PLTR), a “big data” analytics business with substantial contracts from the US intelligence community. That community uses Palantir’s Gotham platform to examine data, identify intelligence leads and support pattern recognition. Large corporations use its Foundry product to monitor employee and customer information for predictive analytics and anomaly detection. Microsoft (MSFT), meanwhile, owns a sizeable stake in OpenAI, the creator of ChatGPT, which remains unlisted. OpenAI’s technology has been incorporated into Microsoft’s Bing search engine.

Could AI fuel a fresh stock market bubble?

AI-linked shares began climbing after ChatGPT became available to the public in late 2022. In the six months after its launch, Nvidia, for example, gained well over 200%. The rally quickly prompted Wall Street commentators to question whether another technology bubble was taking hold. Renowned investor Stanley Druckenmiller, who has held substantial investments in both Palantir and Nvidia, argued that bubbles never last just six months. In his view, if enthusiasm for AI did turn into a bubble, extreme valuations would persist for at least two and a half years or longer, as they did during the DotCom bubble of the late 1990s. As of mid-2023, the best assessment was that the market was not in a bubble, at least for the time being. Although Nvidia was then valued at 27 times forward sales, analysts anticipated exceptionally strong revenue growth for years ahead. For comparison, the NASDAQ 100 traded at 60 times earnings at the DotCom bubble’s peak, against 25 times earnings in mid-2023.