Larry Ellison past Elon Musk as the world’s richest person

ChannelBytes

Oracle’s $455B AI Deals Make Ellison World’s Richest

Oracle stunned markets with a 40% stock surge after revealing $455B in future AI infrastructure contracts, headlined by a $300B agreement with OpenAI. The commitments push Oracle’s backlog above $500B, cementing its position as a key player in the AI compute race.

The boom sent founder Larry Ellison’s fortune soaring past Elon Musk’s, hitting over $385B. With Oracle projecting cloud infrastructure revenue to climb from $18B to $144B in five years, the AI “picks and shovels” economy continues minting staggering wealth.

Microsoft Eyes Anthropic Deal to Broaden AI Toolkit

Microsoft is reportedly preparing to integrate Anthropic’s Claude models into Office 365, marking its first major step beyond OpenAI. Early tests suggest Claude Sonnet 4 outperforms GPT-5 in creating spreadsheets and presentations, aligning with Anthropic’s push into file generation tools.

The deal would run through AWS, meaning Microsoft may pay a cloud rival despite its free access to OpenAI. The move signals a pragmatic shift: rather than staying loyal to OpenAI, Microsoft appears focused on diversifying AI strengths across its ecosystem.

All Things in AI Today

Anthropic’s Claude Takes on Office with File Creation Tools

Anthropic has equipped Claude with the ability to generate and edit Excel sheets, Word docs, PowerPoints, and PDFs directly in chat. The upgrade positions Claude as a serious rival to OpenAI in workplace AI, turning natural language into seamless file creation and analysis.

Alibaba Unveils Qwen3-ASR for Multilingual Speech Recognition

Alibaba introduced Qwen3-ASR, a speech recognition model capable of handling multiple languages, accents, singing, and even text-prompted speech. The release underscores the company’s push to advance versatile, high-accuracy voice AI technology.

AI Voice Agents Slash Healthcare Costs for Seniors

An Emory University study found AI voice agents helped seniors track blood pressure, cutting nurse-related costs by nearly 90% while boosting care quality. With high satisfaction scores and effective escalation for urgent cases, the results highlight AI’s growing role in eldercare.