Nvidia just made a massive $20 billion bet on Groq, a startup building chips for AI inference. This move reveals that even the king of AI training isn’t sure how the economics of running AI models will ultimately play out. The race to dominate inference, where AI actually generates value, is now wid
Enterprises are running a chaotic mix of old virtual machines, newer Kubernetes clusters, and modern serverless functions across different clouds. This hybrid, multi-generational mess has created a security gap that’s impossible for humans to manage alone. AI is becoming indispensable to spot threat
For years, accounts payable was just about processing invoices. Now, AI is turning it into a critical control point for finance. It’s enabling dynamic payment optimization and fighting next-gen fraud.
According to a CNBC report, China is scaling humanoid robot production faster than the US, with a slew of companies aiming for 2026. This puts them ahead of Tesla’s own Optimus project in the race to commercialize.
The narrative that AI will replace programmers is getting a major rethink. According to experts, AI-generated code demands more rigorous human oversight, not less, turning the developer’s role into something more strategic.
The AI hype is focused on data center giants like Nvidia. But the real signal that AI is changing the world will come from a surge in demand for cheap, simple chips that go into robots and factory equipment. That’s when the bubble talk ends.
A new simulation of a fresh YouTube account found that 21% of the first 500 Shorts shown were AI-generated “slop.” The global consumption of this content is massive, with top channels pulling in billions of views and millions in ad revenue annually.
A new report details how three professionals broke into competitive AI fields. Their paths weren’t linear, but graduate programs and university networks were critical catalysts for their success.
OpenAI is looking for a new head of AI preparedness, a role Sam Altman calls “stressful.” The search follows lawsuits against the company related to AI’s impact on mental health in 2025.
The AI industry saw a staggering $400 billion in capital expenditures this year, helping to boost GDP. But behind the scenes, a fierce talent war and debates over a potential bubble reveal the high-stakes pressure.
