Agentic AI

The enterprise world’s favorite new toy and its worst new nightmare are the same thing: agentic AI. OutSystems’ 2026 State of AI Development report just dropped the numbers, and they’re staggering. 96% of organizations are already using AI agents — not experimenting, not piloting, using. And 97% are exploring system-wide agentic strategies that would embed autonomous decision-making into core operations. Here’s the catch: 94% of those same organizations say AI sprawl is increasing complexity, technical debt, and security risk across their enterprises. ...

Everyone’s fighting over GPUs. Alibaba just changed the question. On Tuesday, Alibaba’s DAMO Academy unveiled the XuanTie C950 — a 5-nanometer server processor built on open-source RISC-V architecture. It’s the highest-performing RISC-V CPU ever made. But the interesting part isn’t the benchmarks. It’s the thesis behind the chip: that AI agents need fundamentally different silicon than AI chatbots. While Nvidia, AMD, and Intel wage war over who can build the biggest parallel processor for training models, Alibaba is making a deliberate bet on what comes after training. And the logic is harder to dismiss than you’d think. ...

Remember when AI assistants could only talk about helping you? Those days are officially over. Anthropic just dropped what might be the most consequential AI update of 2026: Claude can now take control of your Mac. Not metaphorically — it literally moves your cursor, clicks buttons, types into fields, and navigates your apps. You can text Claude from your phone while grabbing coffee, and by the time you sit back down, your pitch deck is exported, attached to a calendar invite, and ready to go. ...

After 35 years as the Switzerland of semiconductors — licensing chip designs to anyone with a checkbook — Arm Holdings just crossed the Rubicon. It built its own chip. Not a demo. Not a reference design you’ll never see in production. A 136-core data center processor called the AGI CPU, fabricated on TSMC’s 3nm process, with Meta signed on as the debut customer. This isn’t incremental. This is tectonic. The Hardware: 136 Cores of Pure Intent The specs read like Arm had something to prove. ...

Anthropic just gave Claude the keys to your Mac. On Monday, Anthropic announced that Claude can now take control of a user’s computer to complete tasks — opening apps, navigating browsers, filling spreadsheets, moving files, and doing the kind of digital busywork that devours hours of your day. You message Claude from your phone, it gets to work on your desktop like an invisible assistant sitting at your keyboard. This isn’t a concept demo or a developer API buried in docs. It’s a consumer-facing feature, available now in research preview for Claude Pro and Max subscribers on macOS. And it signals something bigger: the agentic AI arms race isn’t theoretical anymore. It’s shipping. ...

Jensen Huang just told the world Nvidia expects $1 trillion in revenue by 2027. That’s double last year’s forecast. But the real story from GTC 2026 isn’t the number — it’s the machine that’s supposed to earn it. Vera Rubin Isn’t a Chip. It’s an Ecosystem. Stop thinking about Nvidia as a GPU company. The star of this year’s GTC is the Vera Rubin platform — a five-rack-scale AI supercomputer built from seven different chips, each purpose-designed for a specific slice of the AI workload. ...

The AI cost curve didn’t just bend — it snapped. Chinese AI lab MiniMax just released M2.7, a model that scores within spitting distance of Claude Opus 4.6 and GPT-5.4 on coding benchmarks, runs on modest hardware, and costs $0.30 per million input tokens. That’s roughly 17x cheaper than Opus on input and 21x cheaper on output. But the price isn’t even the headline. The headline is how they built it: M2.7 helped build itself. ...

Thirty thousand people just descended on San Jose for what might be the most important tech keynote of 2026. NVIDIA’s GPU Technology Conference kicks off today, and Jensen Huang has promised to “surprise the world.” He’s not bluffing. The Training Era Is Over. Welcome to Inference. For three years, the AI hardware playbook was brain-dead simple: buy GPUs, train bigger models, repeat. NVIDIA rode that formula to a $4.4 trillion market cap — the most valuable public company on Earth. ...

There’s a moment in every technology wave where someone takes a floating concept and packages it so cleanly that the mainstream has to pay attention. For AI agents, that moment might be right now — and it’s coming from the company that’s been quietly eating Google’s lunch. Perplexity dropped two products at its inaugural Ask 2026 developer conference that could reshape how we think about computers entirely. The first is called Personal Computer. The second is Computer for Enterprise. And if even half their internal claims hold up, we’re looking at a genuine inflection point. ...

Forget March Madness. The real buzzer-beater lands Monday when Jensen Huang takes the stage at San Jose’s SAP Center for GTC 2026 — and the pre-game leaks suggest this could be the most consequential tech keynote in years. NVIDIA is now the world’s most valuable company at roughly $4.6 trillion. GTC has evolved from a niche developer gathering into a market-moving, policy-shaping global event. Nearly 20,000 attendees from 190 countries. Millions on the livestream. And an entire industry holding its breath. ...