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Jensen Huang: Nvidia will have 75K employees and 7.5 million AI agents in 10 years
Top StoryMedia

Jensen Huang: Nvidia will have 75K employees and 7.5 million AI agents in 10 years

Nvidia's chief executive offered a startling vision of the company's future this week, predicting it will employ 75,000 people while simultaneously deploying 7.5 million AI agents—a ratio that underscores how aggressively the artificial intelligence industry expects to automate white-collar work over the next decade. Jensen Huang's projections suggest that even at a company built on AI infrastructure, human workers will be vastly outnumbered by software agents handling everything from coding to customer service. The remarks hint at a future where the explosive growth in AI capacity may paradoxically constrain job creation in the sector itself.

Fortune·
RelatedNVIDIANVIDIAJensen Huang

14 sources

CNBCWinBuzzerThe Times of India
How I Built Azerbaijan’s First AI-Powered Fashion Marketplace
Media

How I Built Azerbaijan’s First AI-Powered Fashion Marketplace

by Sahib Alizada — From a solo founder’s idea to a platform with 13 AI agents running 24/7

Medium·
Modern Questions vs Ancient Language
Media

Modern Questions vs Ancient Language

by Vaishnavi Veeranki — Why My RAG System Struggled with the Bible — and How I Fixed ItIntroductionI was building a Retrieval-Augmented Generation (RAG) system for a Bible question-answering application when I ran into a...

Towards AI·
Crack ML Interviews with Confidence: RNN, LSTM (20 Q&A)
Media

Crack ML Interviews with Confidence: RNN, LSTM (20 Q&A)

by Shahidullah Kawsar — Data Scientist & Machine Learning Interview Preparation

Towards AI·
A Coding Implementation Showcasing ClawTeam’s Multi-Agent Swarm Orchestration with OpenAI Function Calling
Research

A Coding Implementation Showcasing ClawTeam’s Multi-Agent Swarm Orchestration with OpenAI Function Calling

In this comprehensive tutorial, we present the core architecture of ClawTeam, an open-source Agent Swarm Intelligence framework developed by HKUDS. We implement the fundamental concepts that make...

Marktechpost·
Related OpenAI
Media

WordPress.com now lets AI agents write and publish posts, and more

New AI agents on WordPress.com could lower barriers to publishing while increasing machine-generated content across the web.

TechCrunch AI·
Discussions

How I got 20 AI agents to autonomously trade in a medieval village economy with zero behavioral instructions

Repo: https://github.com/Dominien/brunnfeld-agentic-world Been building a multi agent simulation where 20 LLM agents live in a medieval village and run a real economy. No behavioral instructions, no...

r/ClaudeAI·
Media

New court filing reveals Pentagon told Anthropic the two sides were nearly aligned — a week after Trump declared the relationship kaput

Anthropic submitted two sworn declarations to a California federal court late Friday afternoon, pushing back on the Pentagon's assertion that the AI company poses an "unacceptable risk to national...

TechCrunch AI·
Related AnthropicPentagon
NVIDIA Releases Nemotron-Cascade 2: An Open 30B MoE with 3B Active Parameters, Delivering Better Reasoning and Strong Agentic Capabilities
Research

NVIDIA Releases Nemotron-Cascade 2: An Open 30B MoE with 3B Active Parameters, Delivering Better Reasoning and Strong Agentic Capabilities

NVIDIA has announced the release of Nemotron-Cascade 2, an open-weight 30B Mixture-of-Experts (MoE) model with 3B activated parameters. The model focuses on maximizing ‘intelligence density,’...

Marktechpost·
RelatedNVIDIANVIDIANemotron
Media

Nvidia has an OpenClaw strategy. Do you? 

CEO Jensen Huang took the stage at Nvidia’s GTC conference this week in his signature leather jacket to deliver a two-and-a-half-hour keynote, projecting $1 trillion in AI chip sales through 2027,...

TechCrunch AI·
RelatedNVIDIANVIDIAJensen Huang
OpenClaw AI Agent Explained: What 250,000 Developers Know That You Don’t
Media

OpenClaw AI Agent Explained: What 250,000 Developers Know That You Don’t

by Shubham Vedi | GenAI — The fastest-growing open-source project in history — and nobody’s giving you the honest take. Until now.250,000 GitHub stars. Queues of retirees and students outside Tencent’s Shenzhen headquarters....

Towards AI·
Media

The Math That’s Killing Your AI Agent

by Kaushik Rajan — An 85% accurate AI agent fails 4 out of 5 times on a 10-step task. Learn the compound probability math behind production failures (and the 4-check pre-deployment framework to fix it). The post The...

Towards Data Science·
Event-Driven MDM Solves Latency. It Doesn’t Solve Trust
Media

Event-Driven MDM Solves Latency. It Doesn’t Solve Trust

by Ashutosh — Your AI agents are making decisions right now. Can you prove what data they used, which version it was, and whether that version was…

Towards AI·
Stop Runaway Tool Loops
Media

Stop Runaway Tool Loops

by Quaxel — 12 agent guardrails that keep tool-using systems bounded, safe, and useful

Medium·
Media

What happened at Nvidia GTC: NemoClaw, Robot Olaf, and a $1 trillion bet

CEO Jensen Huang took the stage at Nvidia’s GTC conference this week in his signature leather jacket to deliver a two-and-a-half-hour keynote, projecting $1 trillion in AI chip sales through 2027,...

TechCrunch AI·
RelatedNVIDIANVIDIAJensen Huang
Trump takes another shot at dismantling state AI regulation
Media

Trump takes another shot at dismantling state AI regulation

The Trump administration on Friday unveiled its new legislative blueprint for AI regulation, and the seven-point plan includes a clear message: The federal government should avoid many AI regulations...

The Verge AI·
Discussions

Anthropic's Claude Code had a workspace trust bypass (CVE-2026-33068). Not a prompt injection or AI attack. A configuration loading order bug. Fixed in 2.1.53.

An interesting data point in the AI safety discussion: Anthropic's own Claude Code CLI tool had a security vulnerability, and it was not an AI-specific attack at all. CVE-2026-33068 (CVSS 7.7 HIGH)...

r/artificial·
Related Anthropic Claude
Cutting Claude Code Costs Without Sacrificing Quality
Media

Cutting Claude Code Costs Without Sacrificing Quality

by Erez Azaria — How to use Claude code with mixed native and Ollama subagent modelsRecently, it seems there isn’t a single article or a blog post that doesn’t start with something that was made with or made for...

Towards AI·
Related Anthropic Claude
Building a High-Performance Vector Search Engine from Scratch in 2026
Media

Building a High-Performance Vector Search Engine from Scratch in 2026

by Sifat Musfique — Mastering high-performance vector search in 2026.Vector search is the backbone of modern AI. It enables Semantic Search, Retrieval-Augmented Generation (RAG), and recommendation systems. Relying on...

Towards AI·

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