Trust: The next critical infrastructure layer for autonomous AI
We're at an inflection point. AI has moved well beyond generating recommendations for humans to review. It's taking actions. It's embedded in business workflows. It's making decisions autonomously, and in many cases, it's doing all of this faster than any human could intervene.
88% of enterprises report regular AI use. Only 7% have scaled it. Here are the five strategies separating the companies that made it work from everyone still demoing chatbots to their board.
Berlin, Paris, London: how Europe's AI hubs are diverging
Europe's AI scene used to get lumped together as one story. In 2026, Berlin, Paris, and London are running three different plays, and the gap between them is widening fast...
New York's AI scene: The 25 companies you need to know
New York's AI companies are embedding AI into industries the city already runs: trading floors, hospital records, compliance desks. This list of 25 names, from Hugging Face to Dataminr, maps what that looks like in practice, and why the city's AI economy no longer needs Silicon Valley's permission.
I've been spending a lot of time thinking about this, and more importantly, living it while building agentic systems at 2Q AI. What follows are real incidents, real architectural breakdowns, and a practical framework for keeping your AI agents from going off the rails...
The age of AI evangelism is over. Welcome to the evaluation era.
Transparency scores are falling, hallucination rates on user-framed statements hit as high as 94%, and benchmark performance still fails to predict real-world results. The gap between what AI can do and what organizations can actually verify is now the problem worth solving...
The US AI rulebook is being rewritten. Your compliance team can't wait
America's AI regulatory landscape just had a month that made legal counsel everywhere reach for stronger coffee. Colorado's landmark AI Act, once celebrated as the country's first comprehensive state AI law, was gutted and replaced before it ever took effect.
Boards want AI roadmaps. Competitors are shipping AI features. And 74% of companies still can't make it pay. This piece breaks down the eight-point framework that separates disciplined AI adoption from expensive noise.
AI agents keep breaking in production. Here's why nobody's fixed it yet.
The gap between what agentic AI promises and what it actually delivers in live environments is now one of the most consequential engineering problems in the industry. It is also, frustratingly, one that the field has been slow to name precisely, let alone fix...
The 3 reasons your AI never makes it to production
Most companies don't have an AI problem. They have a throughput problem. And I think that distinction matters a lot when you start talking about how to actually get AI working in production.
AI agents keep breaking in production. Here's why nobody's fixed it yet
78% of enterprises have an AI agent pilot running. Only 14% have successfully scaled one. The gap isn't a model problem. It's an engineering one (and it's hiding in plain sight....)