Nvidia CEO Jensen Huang says AI creates more jobs not replaces them

Key Takeaways

Nvidia CEO: AI won't replace jobs, but create more

Nvidia CEO Jensen Huang believes that artificial intelligence will not replace jobs, but rather create more demand for software engineers. He argues that AI will increase productivity and lead to economic growth, resulting in a greater need for skilled workers to develop and implement AI systems. Huang cites data showing a substantial increase in software development activity, including merged pull requests, commits, and new repositories on GitHub. He suggests that AI is augmenting human capabilities, leading to more output and, consequently, a higher demand for engineers.

Nvidia CEO says AI job fears are 'complete nonsense'

Nvidia CEO Jensen Huang has downplayed concerns that AI will replace human jobs. He points to the growth of GitHub, citing a nearly tripled number of commits in 2026, and argues that AI is increasing productivity, leading to a greater demand for software engineers. Huang believes that AI will create more jobs, not replace them, and that companies will want to hire more software engineers to take advantage of AI-driven productivity.

BenQ unveils comprehensive AI ecosystem

BenQ Group has launched an end-to-end artificial intelligence ecosystem, spanning infrastructure, manufacturing, healthcare, and display products. The ecosystem, showcased at COMPUTEX 2026, includes various BenQ-affiliated companies, such as Qisda, AEWIN Technologies, and MetaAge, presenting hardware, software, and sector-specific applications. The focus areas include AI infrastructure, smart manufacturing, and healthcare, highlighting the commercial opportunities and practical applications of AI.

Simplifying AI security

The article discusses the importance of simplifying security in the age of AI. It highlights that security adoption often fails due to complexity and inconvenience, leading people to find workarounds. The author argues that making the secure path the easiest path is crucial, citing examples such as two-factor authentication and browser security features. The article also explores the challenges of AI security, including agent permissions and the need for a permissioning model built around intent.

UK AI investment driven by FOMO

A report by Expereo and IDC finds that 70% of UK organizations are investing in AI, driven by the fear of missing out (FOMO) rather than actual results. The report highlights the need for organizations to adopt a more disciplined approach to AI investment, focusing on measurable outcomes and return on investment. The fear of falling behind competitors is a significant motivator, but companies must prioritize evaluating the effectiveness of AI investments.

Enzo Health launches AI-native EHR

Enzo Health has launched an AI-native electronic health record (EHR) system designed for home healthcare agencies. The platform aims to streamline operations, including intake, scheduling, and billing, while providing visibility for patients. The company claims this is an industry-first agentic EHR system.

Corkscrew Swamp bird calls train AI

The sounds of bird calls from Corkscrew Swamp in Southwest Florida are being used to train AI to identify species by their unique calls. This project aims to develop an app that can accurately identify bird species based on their vocalizations.

National Lab makes AI cybersecurity tool public

The Pacific Northwest National Laboratory (PNNL) has made its AI-powered cybersecurity tool available to the public. The tool helps organizations improve their cybersecurity posture by analyzing large amounts of data in real-time and identifying potential security threats.

Uber takes measured approach to AI

Uber is taking a measured approach to AI, prioritizing return on investment (ROI) and sustainable advantages. The company's president and COO, Andrew MacDonald, believes that AI spending is becoming harder to justify, and companies need to adjust their strategies to focus on measurable outcomes.

Vulnerability disclosure in AI era

The article discusses the importance of responsible disclosure in the age of AI, highlighting the need for urgent action to address the growing tension between offensive and defensive equities in cyberspace. The author argues that AI-enabled vulnerability discovery capabilities have created a strategic inflection point for governments, industry, and critical infrastructure operators.

Sources

• Nvidia's Huang: AI Job Fears Are 'Nonsense'
• AI taking jobs is “complete nonsense” says Nvidia CEO, as software engineer numbers are “actually increasing”
• BenQ unveils AI ecosystem spanning industry & healthcare
• AI doesn't break security. Complexity does
• AI Investment Boom Across the UK is Fuelled More by Fear of Missing out Than Actual Results, According to Expereo
• Enzo Health launches agentic EHR for home health agencies
• Corkscrew Swamp bird calls are training AI to ID species by sound
• National Lab Makes Science and AI-Enabled Cybersecurity Move Faster
• The AI Restraint Comes to Uber From an Unexpected Direction
• Vulnerability Disclosure in the Age of AI