AI Business

This shift responds to enterprise demand for tighter data control and local infrastructure systems, in contrast to Meta's recent focus on closed models such as Muse Spark 1.

The move comes after a spate of incidents in which autonomous AI agents escaped their approved environments.

Spot is being used to automate inspections, optimize operations, and improve workforce safety.

The move comes as Elon Musk’s companies look to secure chip capacity for AI, robotics and space-based data centers.

The investment highlights the growing interconnections between AI models and robots.

This week's developments suggest enterprise AI success increasingly depends on business processes, context, cost management and operational execution, not just model performance.

While Google says the launch brings it closer to "physical AGI," safety and real-world deployment remain significant hurdles.

As generative AI evolves into agentic AI, the build-or-buy decision becomes more complex and depends on numerous factors, including business size, use cases, and strategic priorities.

The AI expert said it's time to start worrying after AI agents escaped from sandboxes without authorization. Some businesses are taking the initiative to keep their own AI agents under control.

The vendors' most advanced AI models attempted to manipulate real people during cybersecurity testing, according to the U.K.'s AI Security Institute.

The vendor’s fundraising has been unusually successful for a new startup as it joins the rush to build AI compute infrastructure.

The impact of AI on jobs is unavoidable for most businesses. But some are taking steps to use the technology to help job seekers.

The vendor is aiming to capitalize on the growing demand for lower-cost AI services.

Qwen3.8-Max is the latest in a series of launches from Chinese tech firms racing to develop powerful, affordable AI models.

The funding will support next-generation photonics, optical materials and advanced packaging for AI infrastructure.

The EU AI Act is the world’s most comprehensive AI legislation.

As AI adoption expands, enterprises are discovering that managing costs, measuring returns and scaling efficiently are becoming as important as deploying the technology itself.

OpenAI has reduced prices for its AI models, signaling an emerging price war as enterprises grow concerned about AI spending.

The European Commission has launched a tender to build seven AI gigafactories, aiming to close the gap with U.S. and Chinese competitors.

The partnership aims to give users more choice when building AI agents and automating business processes.

New research from LexisNexis shows China's growing influence in the robotics industry.

The latest restrictions target robotics and power infrastructure critical to AI development, as the Trump administration looks to reduce reliance on Chinese technology.

A vendor developing self-improving AI has signed a $410 million deal with AWS, following rapid growth since its founding in 2025.

As it ramps up its AI strategy, the tech giant is making a play in the hotly contested AI cybersecurity arena.

The agreement marks another significant step for the South Korean AI sector.

Private markets investing and lending are labor-intensive. A startup says it can change that with AI technology.

Voice mode now works with a selection of Claude models.

The new facility, in collaboration with RWTH Aachen University, will join Neura’s global network of sites providing robotic training data.

OpenAI's security incident highlights a new challenge for enterprises: governing increasingly autonomous AI systems.

The incident is a lesson for enterprises that they need to implement appropriate cybersecurity guidance and keep their data within safe confines.