Dow Jones futures gain ahead of inflation data and tech earnings

  • The forthcoming CPI figures will offer key inflation signals for traders, who are also watching CoreWeave’s results for indications of wider AI demand.
  • After widespread, sizeable gains in semiconductor shares drove Monday’s strong rally, Wall Street seeks to sustain the advance.
  • Controversy surrounding Nvidia’s CEO and concerns about tighter AI chip export curbs sent its shares down over 4%.

A 0.48% rise takes Dow Jones futures to around 52,750 in Tuesday’s European trading session. By comparison, S&P 500 futures are up 0.17% at around 7,590, while Nasdaq 100 futures are down 0.15% at roughly 27,970.

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

October’s headline Consumer Price Index (CPI) is forecast to increase by 0.3% month-on-month, half September’s 0.6% rate, with core CPI expected to ease to 0.2% from 0.3%. Ahead of the report, US stock futures showed a mixed performance.

Annual inflation readings will be absent, however: the Bureau of Labor Statistics (BLS) will not release 12-month percentage changes for the October 2026 indices, as the federal government shutdown prevented the collection of October 2025 data. Neither the standard annual headline rate nor its core counterpart will therefore be available. With the inflation picture incomplete, investors have placed greater emphasis on the forthcoming results from neocloud firm CoreWeave for crucial indications of momentum across the artificial intelligence sector.

Monday’s regular session had delivered a strong advance, with gains of 2.15% for the Dow, 2.35% for the S&P 500 and 2.74% for the Nasdaq Composite, before the more cautious mood took hold. Leading the recovery were semiconductor shares, reversing some of last week’s heavy selling. That sell-off followed concerns about stricter AI oversight and possible delays to data centre expansion after Democrats won control of Congress.

Company-specific difficulties nevertheless restrained sentiment, with Nvidia particularly affected. After CEO Jensen Huang acknowledged an alleged affair with a suspected Chinese spy, the chipmaker’s shares fell over 4%. The disclosure fuelled concerns that lawmakers might seek tighter export restrictions on the company’s hardware.

US equities recover as technology and semiconductor shares set the pace

US shares are beginning to recoup their post-Midterm election losses, according to Rabobank analysts. Describing the S&P 500, they note that, after "collapsing 4.4% in one day last week following the US Midterm elections, the S&P 500 is starting to show signs of recovery, having moved 3% higher, back to pre-November 4 levels." Rabobank also highlights a substantial bounce in the technology-heavy Nasdaq: "despite the unfortunate headlines surrounding Jensen Huang, the Nasdaq also made a strong recovery, having moved 5% higher over the past two sessions, supported by the Philadelphia Semiconductor Index, which managed to work its way more than 11% higher."

AI shares: frequently asked questions

At its core, artificial intelligence is an academic field concerned with reproducing human cognitive abilities, logical understanding, perception and pattern recognition in machines. Commonly shortened to AI, it encompasses artificial neural networks, machine learning or predictive analytics, symbolic reasoning, deep learning, natural language processing, speech recognition, image recognition and expert systems. The ultimate ambition across the discipline is artificial general intelligence, or AGI: a machine capable of solving arbitrary problems without having been trained specifically to tackle them.

Artificial intelligence serves a wide range of purposes. Among the best-known examples are generative AI platforms, including ChatGPT and Google’s Bard, which draw on training with large language models (LLMs) to respond to text queries. User-written prompts also allow Midjourney to produce original images. Elsewhere, probabilistic methods enable AI to assess an entity’s characteristics or how it is perceived. Upstart’s lending platform, for example, assesses applicants’ creditworthiness through an AI-enhanced credit rating system that searches the internet for information about their careers, wealth profiles and relationships. Scientific research provides another application: some AI systems draw on large databases of studies to propose potential new pharmaceuticals for laboratory testing. By gathering and organising information about viewing habits, YouTube, Spotify, Facebook and other content aggregators use AI to recommend personalised content.

Alongside AI-focused computer chips, semiconductor company Nvidia (NVDA) produces some of the platforms on which AI engineers develop applications. Its role in supplying the tools for further AI applications leads many supporters to regard it 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 US intelligence community contracts. Those agencies use its Gotham platform to examine data, identify intelligence leads and support pattern recognition. Major corporations, meanwhile, use Palantir’s Foundry product to monitor employee and customer data for predictive analytics and anomaly detection. Microsoft (MSFT) holds a sizeable stake in OpenAI, the privately held creator of ChatGPT, and has incorporated OpenAI’s technology into its Bing search engine.

AI-linked shares began climbing after ChatGPT became publicly available in late 2022. Over the following six months, Nvidia alone gained well over 200%, prompting immediate debate among Wall Street commentators about whether another technology bubble was taking hold. Renowned investor Stanley Druckenmiller, whose major investments have included both Palantir and Nvidia, argued that bubbles never endure for just six months. In his view, if enthusiasm for AI turned into a bubble, extreme valuations would persist for at least two and a half years or longer, as they did during the late-1990s DotCom bubble. By mid-2023, the best assessment was that the market was not yet in a bubble. Although Nvidia then traded at 27 times forward sales, analysts anticipated exceptionally strong revenue growth for years ahead. For comparison, the NASDAQ 100’s valuation reached 60 times earnings at the DotCom bubble’s peak, versus 25 times earnings in mid-2023.