
A 0.38% rise takes Dow Jones futures to around 52,380 in Tuesday’s European trading. S&P 500 futures are 0.13% higher at roughly 7,740, whereas Nasdaq 100 futures are down 0.12% at about 29,690.

Growing expectations that the Federal Reserve (Fed) would hold interest rates steady lifted US equity futures. The CME FedWatch tool shows that Fed funds futures traders anticipate no change at the October policy meeting, but assign an 89.4% probability to a December rate increase.
While voicing confidence in the US economy’s resilience last week, Fed Chair Kevin Warsh gave no specific indication of when further rate changes might come or how likely they were.
A rebound in technology stocks supported Wall Street at the start of a mixed week’s trading. In Monday’s regular US session, the Dow Jones slipped 0.07%. By contrast, the S&P 500 gained 0.41% and the Nasdaq Composite added 1.11%, recovering from the previous week’s steep sell-off as concerns about AI financing mounted.
Gains in Micron, Nvidia, SanDisk, Amazon and Tesla put chipmakers and other mega-cap shares at the forefront of the rebound. Attention is now turning to Tuesday’s substantial corporate reporting schedule. General Electric, Netflix, Raytheon Technologies, United Airlines and General Motors are among the companies due to release earnings.
According to Deutsche Bank strategists, the steadier performance of AI-related shares “also pushed US Treasury yields higher, as it countered fears about an AI-related slowdown.” Real yields were the principal driver, they explain, with “higher real yields” responsible for “the bulk of the rise in Treasury yields yesterday, rather than inflation breakevens.” Consequently, “Treasury yields saw a consistent rise across the curve, with the 2yr yield (+6.5bps) up to 4.77%, whilst the 10yr yield (+6.6bps) rose to 5.14%.” Turning to the policy implications, Deutsche Bank says “optimism on the growth side” influenced expectations as investors “priced in slightly more rate hikes for the months ahead,” leaving “74bps of hikes…priced in by the June 2027 meeting at the close, up +7.7bps relative to Friday.”
At its core, artificial intelligence is an academic field devoted to reproducing human cognitive abilities, logical understanding, perception and pattern recognition in machines. Commonly shortened to AI, it encompasses several branches: artificial neural networks, machine learning or predictive analytics, symbolic reasoning, deep learning, natural language processing, speech recognition, image recognition and expert systems. Creating artificial general intelligence, or AGI, is the field’s ultimate objective. Such a machine would be capable of tackling arbitrary problems without having been trained to solve them.
Artificial intelligence has a wide variety of uses. Among the best known are generative AI services, including ChatGPT and Google’s Bard platform, which draw on training with large language models (LLMs) to respond to text-based questions. Images can also be created: Midjourney produces original pictures from text supplied by users. Probabilistic techniques underpin other AI systems that assess an entity’s characteristics or how it is perceived. Upstart’s lending platform, for example, employs an AI-enhanced credit rating system to assess applicants’ creditworthiness, searching the internet for information on their careers, wealth profiles and relationships. In pharmaceutical research, other AI systems draw on extensive databases of scientific studies to propose potential new medicines for laboratory testing. By gathering and organising information about viewing habits, YouTube, Spotify, Facebook and other content aggregators use AI to recommend personalised content.
Semiconductor business Nvidia (NVDA) produces AI-focused chips alongside 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 the company as a picks-and-shovels investment in the AI revolution. Another participant is Palantir Technologies (PLTR), a “big data” analytics business with sizeable US intelligence community contracts. Its Gotham platform helps those agencies sift through information, identify intelligence leads and support pattern recognition. Large corporations use Palantir’s Foundry product to monitor employee and customer information for predictive analytics and anomaly detection. Meanwhile, Microsoft (MSFT) owns a substantial 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-linked shares. Over the six months after its release, Nvidia, for example, gained well over 200%, prompting immediate debate among Wall Street commentators about whether another technology bubble was taking hold. Renowned investor Stanley Druckenmiller, who has held sizeable positions in both Palantir and Nvidia, argued that bubbles never endure for only 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 DotCom bubble of the late 1990s. By mid-2023, the best assessment was that equities were not in a bubble, at least for the time being. Although Nvidia then traded at 27 times forward sales, analysts anticipated exceptionally strong revenue growth for years ahead. For comparison, the NASDAQ 100 stood at 60 times earnings at the DotCom bubble’s peak, versus 25 times earnings in mid-2023.