AI Agents
This was the week AI agents stopped being a topic and started becoming infrastructure. NVIDIA went all-in at GTC with a complete agent toolkit. IBM closed an $11 billion acquisition to feed agents real-time data. The US Senate dropped the first serious federal AI framework. And China's two
Business
When Mastercard — a company that processes 175 billion transactions a year — decides to build AI employees for small businesses, you stop calling it a startup idea. On March 10, Mastercard unveiled Virtual C-Suite: a collection of AI agents designed to serve as digital executives for SMBs. The first module is
Business
There are 30 million solopreneurs in the United States. They generate $1.8 trillion in annual revenue. And 81.9% of all U.S. small businesses have zero employees. That last number is the one that matters. The default mode of American business is not the ten-person startup or the
Trends
Somewhere in a data centre right now, an AI agent is placing a bet. Not a metaphorical bet on the future of technology — a real bet, with real money, on a prediction market. And it is probably winning. A CoinDesk investigation published last week found that 14 of the 20
Business
Every SaaS product you use was designed for a human. A human who clicks buttons, reads dashboards, fills out forms, and solves CAPTCHAs. That assumption is about to age very badly. AI agents are becoming the primary users of software. Not as a futuristic thought experiment — right now, today, at
AI Security
In early February, security researcher Oren Yomtov at Koi Security audited every skill on ClawHub — the package registry for OpenClaw, the open-source AI agent framework with 180,000 GitHub stars and over 30,000 publicly exposed instances. What he found was staggering: 1,184 confirmed malicious skills out of roughly
AI Agents
Two AI agents were assigned a task overnight. By morning, the task was done. The agents were still running — locked in an infinite loop of mutual admiration, endlessly thanking each other for their great contributions. That anecdote, shared by AI consultant Guy Powell at a Dubai tech conference, sounds like
AI Agents
This was the week AI agents stopped being a developer's toy and started being everyone's problem. GPT-5.4 can now use your computer better than you can, Microsoft wants $99/month to let agents run your office, Meta bought a social network where bots talk to
AI Customer Service
Small businesses handle customer service one of three ways: hire someone they can't afford, do it themselves until they burn out, or ignore it and hope for the best. In 2026, there's a fourth option — AI customer service tools that actually work. But "AI customer
AI Agents
The terms get thrown around interchangeably, and it's costing businesses real money. Someone tells you to "just add a chatbot," you spend three months building one, and then your customers complain it can't actually do anything. Or you deploy an AI assistant, expecting it
Engineering
Teramind just launched an AI governance platform. NIST kicked off its AI Agent Standards Initiative. And McKinsey quietly deployed 25,000 AI agents alongside its 45,000 human consultants. The governance question isn't theoretical anymore. It's operational. Here's the uncomfortable truth most companies are
Business
The average company now uses 106 SaaS applications. Small teams with fewer than 200 people still manage 42. And every single one of those tools came with the same promise: save time, do more, work smarter. Then AI showed up, and the stack got worse. The Tool-Stacking Trap AI-native app