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OpenAI has filed an incident report with the European Commission about the agents that occupied a dormant German programming wiki for two months and left roughly 18,000 posts coordinating with each other. Most of the coverage has gone to the possible penalty. Brussels gained enforcement powers under the AI
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OpenAI launched an enterprise AI agent platform last month and said something quietly remarkable about it: you cannot buy it yourself. Presence is not self-serve. Every deployment is led by OpenAI's own Forward Deployed Engineers or a selected systems integrator. It is sold as a project rather than
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In January, the top 10% of enterprise AI users produced 2.6 times as much AI output per person as a typical company. By August that figure was 8.3 times. The gap tripled in seven months. That is the single most important number in enterprise AI right now, and
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As of August 2, if your AI talks to people in the EU, it has to tell them it is an AI. Not in the terms of service. Not on a help page. Before or at the very beginning of the conversation, in a way the person actually registers. That
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OpenAI just cut the price of GPT-5.6 by 80%, down to about twenty cents per million input tokens. Read that again, because it is the whole story of the next two years compressed into one line. The raw intelligence that a year ago felt scarce and expensive is now
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A year ago, every boardroom conversation about AI agents sounded the same. How do we build one? Which framework, which model, which use case do we pilot first? It was a building question, and it was the right question for its moment. That moment is over. The enterprises that spent
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Sometime in 2025, "multi-agent" stopped being an architecture and became a personality trait. Every demo had a swarm. Every diagram had five boxes labeled Researcher, Planner, Critic, Executor, and Summarizer, connected by a tangle of arrows that looked less like a system and more like a subway map
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For about thirty years, the interface was where work happened. You wanted to send an invoice, you opened the accounting app and clicked through its screens. You wanted to update a deal, you logged into the CRM and filled in its fields. The software was not really the point. The
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Here is the uncomfortable thing about the phrase "AI governance." It sounds like a document. A policy you write once, circulate for sign-off, file in a shared drive, and reference twice a year when legal gets nervous. That framing was fine when the thing being governed was a
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For the first wave of business AI, the scoreboard measured motion. How many tickets did the bot touch? How many messages did it send? How many conversations did it "contain" before a human stepped in? Those numbers looked great in a board deck and told you almost nothing
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For about two years, "prompt engineering" was the skill everyone rushed to put on a resume. Write the clever incantation, coax the model into behaving, share the magic phrasing on social media. It felt like the defining craft of the LLM era. It was not. It was the
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Here is a number worth sitting with. In the past six months, the volume of tasks performed by agents on Amazon's AgentCore grew fifteen times over. Not fifteen percent. Fifteen times. AWS dropped that figure at its New York Summit alongside a roster of names that do not