
A 0.65% rise takes Dow Jones futures to around 51,720 in Monday’s European trading session. S&P 500 futures are up 0.30% at around 7,420, while Nasdaq 100 futures are down 0.12% at around 27,050.

Lower energy prices and concerns about inflation form the backdrop to mixed trading in US stock futures. Crude oil retreated following comments from US President Donald Trump that additional military action against Iran is "highly unlikely," provided progress continues on Iran’s nuclear programme and the Strait of Hormuz stays open. Trump also acknowledged that the unpopular Middle East conflict had earlier pushed up energy costs and helped drive recent Republican losses in the midterm elections.
With important inflation releases and results from leading AI-related technology companies due this week, investors prepared for the updates while assessing renewed corporate uncertainty at Nvidia. The company looks set to stay in sharp focus after its board opened an independent investigation into allegations that CEO Jensen Huang had been targeted by a Chinese honey trap operation.
Results due over the course of the week from major technology businesses, including CoreWeave, Cisco, and Applied Materials, will provide more insight into demand across the AI sector and its growth prospects. For signals on the Federal Reserve’s forthcoming interest rate decisions, investors are also paying close attention to Tuesday’s US Consumer Price Index (CPI) release and Friday’s Producer Price Index (PPI).
Growing investor unease that Democrats might seek tighter AI rules and potentially limit data centre expansion was the main force behind last week’s widespread selling on Wall Street. The Dow Jones Industrial Average lost 0.93%, the S&P 500 shed 2.68%, and the technology-heavy Nasdaq Composite declined 3.37%.
Further tightening this year is already firmly signalled in the Fed’s own projections, according to analysts at Commerzbank Research. As they observe, “of the 18 Fed officials who submitted projections for the appropriate path of interest rates in September, 16 anticipated at least one more rate hike this year,” adding that “the data released since then are unlikely to have changed that assessment materially.” They believe strong October payrolls, together with inflation that remains elevated, strengthen the argument for a further 25 basis point rise at December’s FOMC meeting, consistent with the Fed’s previous guidance.
At its core, artificial intelligence is an academic field devoted to reproducing human cognitive functions, logical understanding, perception and pattern recognition in machines. Usually 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 ultimate objective of the field. In other words, the aim is to build a machine capable of solving arbitrary problems without having been trained to solve them.
Artificial intelligence has a wide range of applications. Among the best known are generative AI platforms, such as ChatGPT and Google’s Bard platform, which draw on training with large language models (LLMs) to respond to text-based questions. Using text supplied by users, Midjourney produces original images. Probabilistic techniques underpin other forms of AI that 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. By gathering and organising data about viewing habits, YouTube, Spotify, Facebook and other content aggregators use AI applications to recommend personalised content to users.
As a semiconductor business, 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 supporters regard Nvidia as a picks-and-shovels investment in the AI revolution. The “big data” analytics business Palantir Technologies (PLTR) holds sizeable contracts with the US intelligence community. Its Gotham platform enables that community to examine data, identify intelligence leads and support pattern recognition. Major companies use its Foundry product to monitor employee and customer data for predictive analytics and anomaly detection. A substantial stake in OpenAI, the privately held creator of ChatGPT, is owned by Microsoft (MSFT). OpenAI’s technology has been incorporated into Microsoft’s Bing search engine.
The public launch of ChatGPT in late 2022 was followed by rallies in many AI-linked shares. Over the six months after its release, Nvidia, for example, gained well over 200%. Wall Street commentators quickly began questioning whether another technology bubble was taking hold. Prominent investor Stanley Druckenmiller, who has held substantial positions in both Palantir and Nvidia, argued that bubbles never run for only six months. If enthusiasm for AI were to turn 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 best assessment is that the market is 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. By comparison, the NASDAQ 100 traded at 60 times earnings at the peak of the DotCom bubble, against 25 times earnings in mid-2023.