Microsoft and Amazon's latest earnings show cloud infrastructure demand continues to outpace supply, validating hyperscaler investments in AI infrastructure.
According to Lazard Asset Management Portfolio Manager Celine Woo, major tech companies remain justified in ramping up spending on artificial intelligence capabilities.
The earnings reports from Microsoft and Amazon reveal a persistent gap between demand for cloud infrastructure and available supply. This supply constraint supports the case for continued heavy investment from hyperscalers as they build out capacity.
The AI market is entering a new growth phase, with the focus shifting from training large language models to inference—the process of running trained models to generate outputs. This transition is expected to drive the next wave of growth and infrastructure requirements.
Hyperscalers' aggressive capital expenditure on AI infrastructure aligns with this trajectory. As demand for inference capabilities grows alongside continued training requirements, the infrastructure gap suggests investment levels remain appropriate for capturing market opportunity.
Pringles maker Kellanova is partnering with Siemens to deploy AI across European manufacturing facilities. The initiative includes creating digital twins of dough production to optimize chip quality and efficiency.
Scientists have used artificial intelligence to design 16 novel viruses capable of attacking drug-resistant bacteria. The breakthrough offers potential medical applications but raises regulatory concerns.
AI chatbots have proven unreliable for people experiencing mental health crises, prompting clinicians and researchers to demand that AI companies release their safety data.
Demis Hassabis stepped down as head of DeepMind, signaling a significant shift in Google's AI structure and raising questions about Britain's position in the global AI race.