US stock futures moved higher on Monday, October 19, as artificial intelligence shares recovered from the previous week’s sell-off. Gains in Nvidia, Broadcom and CoreWeave helped lift sentiment ahead of the opening bell, while lower oil prices and declining Treasury yields provided additional support. The recovery comes after renewed pressure on AI-related equities raised questions
Artificial intelligence is moving deeper into pharmaceutical research, changing how companies identify drug targets, design molecules and decide which experiments to run. The opportunity extends beyond speeding up laboratory work: AI could help pharmaceutical companies reduce costly research bottlenecks and improve the odds of developing medicines that succeed in clinical trials. A new industry analysis
Europe’s industrial heavyweights are making multibillion-dollar bets on artificial intelligence, seeking to turn decades of engineering expertise and factory data into a competitive advantage as demand for AI data centres accelerates. Schneider Electric, Siemens and ABB are pursuing different strategies. Schneider is expanding aggressively into industrial software, Siemens is combining engineering with advanced simulation and
Artificial intelligence is moving closer to the heart of investing, with AI agents increasingly capable of researching stocks, developing trading strategies and potentially placing orders on behalf of investors. Charles Schwab CEO Rick Wurster believes the technology could make investing more efficient, but warns that handing an AI system unrestricted control over a portfolio is
Chinese artificial intelligence companies are continuing to attract investor interest despite growing concerns that valuations across the global AI sector have become stretched. According to Citigroup, Hong Kong’s equity market remains an important destination for Chinese AI hardware and supply-chain businesses seeking capital to expand. The resilience comes as investors reassess the scale of spending
Artificial intelligence could evolve into something far more powerful than today’s digital assistants: systems capable of outperforming human experts across a wide range of intellectual tasks. A new scenario examined by Deutsche Bank Research suggests that superintelligence could emerge as early as 2030, potentially reshaping business competition, productivity and the global economy. The forecast is
The rapid adoption of AI agents is creating a new growth opportunity for software companies that monitor applications, cloud infrastructure and automated workflows. As businesses deploy AI systems capable of carrying out multi-step tasks with limited human intervention, demand is increasing for tools that can track performance, detect errors and help maintain reliability. Investment bank
Artificial intelligence agents are beginning to operate as independent digital customers, paying for computing power, data and software services through cryptocurrency networks. More than 138 million payments have been recorded through Coinbase’s x402 protocol on the Base blockchain, according to new research from blockchain analytics firm Chainalysis. The findings point to an emerging form of
Artificial intelligence is increasingly being viewed by US business leaders as a potential driver of job creation, rather than simply a technology for reducing headcount. A 2026 survey by KPMG found that 55% of surveyed US CEOs expect AI investments to increase hiring, while 36% anticipate no change and 9% expect workforce reductions directly attributable
Global household financial assets reached a record €268.4 trillion in 2025, but the latest Allianz Global Wealth Report warns that the headline figure masks uneven gains, weaker savings and growing exposure to financial markets. Assets increased by 8.6% year over year, with rising market valuations accounting for roughly four out of every five euros of
Wall Street’s latest earnings season is becoming a critical test for artificial intelligence stocks as investors demand stronger evidence that rapid profit growth can justify the sector’s valuations. Despite robust earnings expectations, some of the market’s most expensive AI-related companies have experienced sharp valuation declines. Rising US Treasury yields, enormous infrastructure spending and uncertainty over
Artificial intelligence remains one of the biggest investment themes of 2026, but investors are becoming more selective about which companies can turn rising demand into sustainable profits. Nvidia, Broadcom, Taiwan Semiconductor Manufacturing Company, Alphabet and Microsoft feature among the stocks highlighted in a recent Forbes Investor Hub analysis of potential AI investments before year-end. The
