AI COMPUTE•NVIDIA•GPU CLOUD•DATA CENTERS•SEMICONDUCTORS•ENERGY•FUNDING•M&A•AI COMPUTE•NVIDIA•GPU CLOUD•DATA CENTERS•SEMICONDUCTORS•ENERGY•FUNDING•M&A•
AI Infrastructure

Musk and Zuckerberg echo Trump's push to rebrand AI as 'super intelligence' on earnings calls. Others did not

Prominent tech executives embrace revised artificial intelligence terminology on earnings calls

By GPU Data Hub Desk · GPU Data Hub·Editorial standards··United States

Meta chief Mark Zuckerberg and Tesla head Elon Musk have adopted the term super intelligence on their third-quarter investor conference calls, mirroring terminology championed by Donald Trump. While both executives integrated the phrase into their strategic updates, the branding has not been universally embraced by other industry peers.

Original source

This summary was written by the GPU Data Hub desk from reporting published by CNBC Technology on 30 Oct 2026, 11:30. Read the full article at the original publisher.

Read Original Source →

By subscribing you consent to receive the daily briefing. Unsubscribe at any time. See our privacy policy.

LinkedInX

More from GPU Data Hub

Latest →

Reddit’s CEO says Google’s AI Mode ‘does not drive traffic’

Reddit chief executive Steve Huffman has cautioned that Google's artificial intelligence search features do not direct user traffic to third-party destinations. Disclosures shared during the social platform's financial reporting revealed that inbound search referrals dropped sharply during October. The complaints reflect wider friction between content publishers and search operators deploying generative answer engines.

AI Infrastructure··The Verge

LLNL Outlines SC26 Program Spanning Exascale Computing, AI and Scientific Software

Lawrence Livermore National Laboratory has announced its scheduled participation in the upcoming SC26 high-performance computing conference in Chicago. The laboratory's programme is set to highlight developments across exascale architectures, scientific software and artificial intelligence. Presentations will focus on the convergence of large-scale computational platforms with modern research workloads.

AI Infrastructure··HPCwire