What agentic AI will look like in 2030, according to the people building it now

Microsoft Build 2026 didn't just announce products. It announced a philosophy: the era of the unmanaged AI agent is over....

"Agent" is the most overused word in AI right now. But strip away the hype and what are you actually working with? Adobe principal scientist Deepak Pai breaks down the real building blocks of agentic systems and when they're worth reaching for....

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....

Turn policy changes into an operating model for building, monitoring, and governing production agents....

Most AI agent failures don't happen during the demo. They happen when APIs fail, context windows explode, costs spiral, and nobody can explain why the agent made a decision. Here are five questions that separate production-ready platforms from expensive experiments....

Your reward model is learning exactly what your annotators prefer. The problem is that "better" and "unbiased" are two different things, and RLHF has no way to tell them apart....

Multi-turn reasoning is broken in a way nobody saw coming. The question is; what can we do to fix it?...

Most GTM teams deploy AI where it's most visible. The question worth asking first: is that actually where it's most ready?...

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....

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....)...

What if the model you've been evaluating has been evaluating you right back? New research finds that LLMs systematically alter their output depending on whether, and by whom, they believe they are being observed. It might have serious implications - are you ready?...

The data engineer has gone from a largely behind-the-scenes role to one of the most strategically important positions in a modern technology organization. The leaders who understand why are making significantly better infrastructure decisions than the ones who do not....

Ask most enterprises what their AI team looks like in 2030 and you will get a blank stare followed by a reference to their current headcount.  That is understandable. It is also a problem. Because the AI team of 2030 is going to look very little like the AI team of today......

A new paper out of arXiv this week describes an AI system that builds, improves, and deploys its own specialist agents. Here is what that actually means for engineers and technical teams....

I left Google ten days ago to found my own company. It's been quite a journey figuring out how things work outside of the mothership, and I'm genuinely excited to share what I've learned from both sides of the house......