IBM reported earnings and revenue below expectations due to enterprises reducing spending on traditional IT systems to invest in their own AI infrastructure. This shift indicates companies prefer developing on-premises AI solutions with cheaper open-source models rather than relying on costly frontier AI models hosted by hyperscalers. The trend reflects a broader AI infrastructure bubble burst, where overinvestment in expensive AI datacenters by hyperscalers contrasts with enterprise demand for more affordable AI options. This change may reshape the AI market and investment strategies going forward.
IBM, once seen as a bureaucratic giant, has transformed into a modern tech powerhouse serving enterprise clients with data services. Despite a recent small earnings miss that caused its stock to drop, this setback is viewed as temporary. The company’...
IBM and Red Hat announced a program providing their AI-driven Lightwell software at no cost to over 185 leading US research universities and 100 major NGOs and think tanks. Lightwell helps identify, validate, and fix vulnerabilities in open source so...
Retirees who delay Social Security benefits until 70 get the highest guaranteed income, but raises stop after that age, with only modest cost-of-living adjustments (COLA). Inflation and rising costs can erode this income, so dividend-growth ETFs like...
IBM's CEO Arvind Krishna stated that quantum computing will significantly impact IBM's revenue by 2028 or 2029, potentially creating a trillion-dollar value by the 2030s. IBM and Algorithmiq announced research showing quantum computers can outperform...
