
A 0.25% advance takes S&P 500 futures to around 7,770 during Wednesday’s European session. Nasdaq 100 futures climb 0.71% to near 29,880, while Dow Jones futures remain little changed at about 52,730.

An 85% probability of the Federal Reserve leaving interest rates unchanged next week, according to the CME FedWatch Tool, formed the backdrop to gains in US stock futures as investors assessed the rate outlook. Maintaining a neutral position, Fed Chair Kevin Warsh stressed that he does not "prejudge" interest rate decisions. Markets therefore remain without a clear indication of whether the central bank will increase rates or leave them unchanged at its forthcoming October policy meeting.
Strong company earnings, chiefly from artificial intelligence-related equities, helped sentiment improve despite uncertainty over monetary policy. After releasing robust preliminary results, Super Micro Computer climbed over 13% in pre-market dealings. Its gains revived confidence in AI expenditure and supported shares across the sector. Dell Technologies and Hewlett Packard Enterprise, both hardware manufacturers, moved higher, as did neocloud providers CoreWeave and Nebius Group.
Third-quarter revenue of $14.58 billion, a substantial 161% increase year on year, helped SpaceX shares rise 8%. Further support came from Elon Musk’s disclosure that special committees have been established at SpaceX and Tesla to examine a possible merger. By contrast, Netflix lost over 5% after the streaming group recorded its weakest revenue growth in three years and forecast a fourth successive quarter of slowing growth.
In their assessment of “another 24 hours of uncertainty and volatility,” Deutsche Bank analysts say trading began with “a widespread morning sell-off dominated by AI concerns, higher oil prices and ongoing worries over French sovereign debt.” The mood subsequently improved as “the US came in,” they observe. The session then “turned into a more positive” one, eventually taking “the S&P 500 to close +0.28% higher as the index saw the most daily advancers since April.”
As an academic discipline, artificial intelligence seeks to replicate human cognitive functions, logical understanding, perception and pattern recognition in machines. Commonly shortened to AI, the field encompasses artificial neural networks, machine learning or predictive analytics, symbolic reasoning, deep learning, natural language processing, speech recognition, image recognition and expert systems. Its ultimate objective is to develop artificial general intelligence, or AGI: a machine capable of solving arbitrary problems without having been trained specifically to solve them.
Artificial intelligence has a wide range of applications, the best known being generative AI platforms trained on large language models (LLMs) to respond to text-based questions. ChatGPT and Google’s Bard platform are examples, while Midjourney produces original images from text supplied by users. Elsewhere, probabilistic methods allow AI to assess an entity’s characteristics or how it is perceived. Upstart’s lending platform, for instance, applies an AI-enhanced credit rating system to judge applicants’ creditworthiness, searching the internet for information about their careers, wealth profiles and relationships. Scientific research databases also provide the basis for AI systems to propose potential new pharmaceuticals for laboratory testing. By gathering and organising information on viewing habits, YouTube, Spotify, Facebook and other content aggregators use AI to recommend personalised content.
Semiconductor group Nvidia (NVDA) makes 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 advocates 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 across the US intelligence community. Those clients use its Gotham platform to examine data, identify intelligence leads and support pattern recognition. Major corporations use Palantir’s Foundry product to monitor employee and customer information for predictive analytics and the detection of anomalies. Meanwhile, Microsoft (MSFT) owns 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 prompted a rally in numerous AI-related shares. Over the six months after its release, Nvidia, for example, gained well over 200%, quickly leading Wall Street commentators to question whether another technology bubble was taking hold. Prominent investor Stanley Druckenmiller, who has held sizeable positions in both Palantir and Nvidia, argued that bubbles never last just six months. Should enthusiasm for AI develop into a bubble, he said, 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. At the midpoint of 2023, the most likely 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 anticipated exceptionally strong revenue growth for years ahead. The NASDAQ 100’s valuation stood at 25 times earnings in mid-2023, compared with 60 times earnings at the peak of the DotCom bubble.