NVDA

Wood’s ARK funds also trimmed their stakes in TSMC and Teradyne.

Life science research is entering an AI era, but most discovery teams still cannot use frontier models at scale. Advanced AI models, molecular simulation tools, scientific databases, inference optimization and GPU infrastructure remain fragmented across separate systems. For many pharmaceutical companies, ingredient innovators, biotech teams, and research groups, this makes AI adoption slow, costly, and technically demanding.

The semiconductor leaders are reinventing the PC for the age of AI.

Arm Holdings plc (NASDAQ:ARM) is one of the 10 Stocks Entering June on Fire. Arm Holdings kicked off the first day of the month soaring to a new all-time high, as investors resorted to a flurry of positive developments, including Nvidia Corp.’s launch of new chips built on its architecture and two analysts’ optimistic rating […]

Shares of leading designer of graphics chips Nvidia (NASDAQ:NVDA) jumped 6.3% in the afternoon session after over 150 million shares traded hands (well above average) as CEO Jensen Huang's keynote at Computex in Taipei delivered two major announcements.

Shares of cloud security and performance company Cloudflare (NYSE:NET) jumped 11.1% in the afternoon session after it extended its recovery, continuing a rebound from the selloff on May 7 (when it reported earnings) that was, in hindsight, a partial market misread.

Shares of ride sharing and on-demand delivery platform Uber (NYSE:UBER) jumped 5.2% in the afternoon session after the company announced a strategic partnership with Israeli AI firm Autobrains to launch a robotaxi program in Munich, Germany.

AI adoption in enterprise is usage-based, agentic, recursive, and easy to overconsume. Uber burned its entire 2026 AI coding budget in 4 months; Microsoft is cancelling internal Claude Code