Dow Jones futures retreat after tech sell-off amid Middle East tensions

  • AI expenditure and mounting technology-sector debt concerns continue to weigh heavily on wider sentiment, leaving US index futures mixed.
  • Losses in leading technology shares, among them Tesla, Nvidia, AMD and Meta, dragged lower the Nasdaq and S&P 500.
  • An intensifying Middle East conflict prompted safe-haven inflows into bonds, with 10-year Treasury yields moving close to 4.98%.

A 0.37% fall leaves Dow Jones futures trading near 52,870 in Friday’s European session. A decline of 0.07% puts S&P 500 futures at around 7,700, whereas Nasdaq 100 futures are up 0.16% at roughly 29,190.

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

Following the previous day’s steep losses in technology shares, US equity futures are trading without a clear direction. Increasing doubts about whether artificial intelligence investment can be sustained have dampened market sentiment.

Thursday’s regular US session saw declines of 2.6% for the Nasdaq Composite and 1.21% for the S&P 500, in contrast to a marginal 0.02% gain for the Dow. Memory chipmakers Micron and SanDisk, semiconductor heavyweights Nvidia and AMD, and Elon Musk’s SpaceX and Tesla were among the main underperformers. Plans by Meta Platforms to raise capital expenditure preceded the sell-off, reviving concerns that technology groups may borrow more to finance the expansion of their AI infrastructure.

Heightened tensions in the Middle East also weighed on shares, steering investors towards the relative safety of bonds. Having dropped more than 10 basis points to a one-month low on the previous day, the US 10-year Treasury yield recovered to around 4.98% on Friday. Before that, safe-haven inflows had supported US bond prices as the sell-off in technology and artificial intelligence shares gathered pace.

Semiconductor and CoreWeave shares slump as AI growth concerns intensify

Renewed questions about the staying power of AI-led growth have reinforced the broader risk-off mood, according to Deutsche Bank analysts. As they put it, “yesterday also brought a fresh wave of concern around AI-driven growth, reversing some of the optimism from earlier in the week,” with several of the most exposed stocks enduring a “rough session.” The Philly semiconductor index, in particular, “(-6.72%) had its worst day since June,” and CoreWeave’s share price “(-10.06%) fell to its lowest since May 2025,” illustrating the speed with which sentiment has turned against AI-related shares.

AI shares: frequently asked questions

At its core, artificial intelligence, commonly shortened to AI, is an academic field concerned with reproducing human cognitive functions, logical understanding, perception and pattern recognition in machines. Its branches include artificial neural networks, machine learning or predictive analytics, symbolic reasoning, deep learning, natural language processing, speech recognition, image recognition and expert systems. Ultimately, the field aims to develop artificial general intelligence, known as AGI: a machine capable of solving arbitrary problems it has not been trained to tackle.

Artificial intelligence has a wide range of applications. Among the best known are generative AI platforms, including ChatGPT and Google’s Bard, which rely on training on large language models (LLMs) to respond to written queries. With Midjourney, users can generate original images from text they supply. Other AI systems employ probabilistic methods to assess an entity’s characteristics or how it is perceived. One example is Upstart’s lending platform: its AI-enhanced credit rating system assesses applicants’ creditworthiness by searching 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 collect and organise information about users’ viewing habits, using AI applications to recommend personalised content.

Semiconductor group 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 required for further uses of artificial intelligence, many supporters regard Nvidia as a picks-and-shovels investment in the AI revolution. Another example is Palantir Technologies (PLTR), a “big data” analytics business with substantial contracts across the US intelligence community. Its Gotham platform helps that community sift through information, identify intelligence leads and support pattern recognition. Large corporations use Palantir’s Foundry product to monitor employee and customer data for predictive analytics and anomaly detection. Microsoft (MSFT), meanwhile, holds a sizeable stake in OpenAI, the privately held creator of ChatGPT, and has incorporated OpenAI’s technology into its Bing search engine.

The public launch of ChatGPT in late 2022 set off a rally in many AI-related shares. Over the six months after its release, Nvidia, for example, rose well over 200%, prompting immediate questions among Wall Street commentators about whether another technology bubble was taking hold. Well-known investor Stanley Druckenmiller, whose holdings have included major 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. By the middle of 2023, the best assessment was that the market was not in a bubble, at least for the time being. Although Nvidia then traded at 27 times forward sales, analysts expected 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.