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What the first careful head-to-head test of AI agent teams tells us about cost. Bottom line A team of AI agents is not automatically better than one good agent. In a new independent test, teams of AI agents increase costs anywhere from 1.8 to 5.1 times as much as a single agent, and only one…
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What “agentic AI” means, and what to settle before you hand over the keys. Part 2 of 2. Bottom line Agentic AI isn’t a smarter chatbot. It’s AI that acts toward a goal, using its own judgment, inside your systems. That’s where the value is, and it’s where the risk lives. The businesses that win…
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Who’s driving? A plain-English guide to the words behind today’s AI tools. Part 1 of 2. Bot, assistant, copilot, agent, autopilot: none of these words has a single industry-standard meaning, and vendors stretch them to sell. You don’t need to memorize definitions. You need one habit. For any AI tool, ask: who decides the next…
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Microsoft is running the same platform play that gave it 30 years of enterprise dominance. The question isn’t whether Copilot is good. It’s whether your team will use it. Disclosure: I spent 26 years at Microsoft. That gives me a clear view of how Copilot fits when you’re already deep in Microsoft 365, and where…
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What This Really Means for Your Businesses Note: You may have seen the word superintelligence in the headlines lately. In this series it keeps its original meaning: systems beyond human capability, which do not exist yet. Everything below is about the AI you can actually buy today. Bottom line: don’t panic into AI adoption for…
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AI Is Not Neutral, and Pretending Otherwise Is the Problem Bottom line: every AI model reflects a value system, whether that value system comes from a government’s law or from a training process. The honest move is naming that plainly. The dishonest move, the one causing most of the actual damage in this debate, is…
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Bottom line: judge any proposed AI regulation by one question, what does it bind, and against whom. Not what it promises, not what it’s named after, not how alarming the incident behind it was. What it binds. Run that test against the current wave of AI legislation and a clear pattern shows up: the boldest-sounding…
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What’s Real, What’s Hype, and What It Means for Your Tech Stack Bottom line: the U.S. government tested Chinese AI models against American ones, and the results were not close. DeepSeek’s most secure model complied with 94 percent of malicious jailbreak requests. The U.S. reference models complied with 8 percent. That gap is the single…
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Here’s Why That’s the Real Story. Bottom Line: Earlier this week, this series made the case that the loudest AI story of the month, a viral resignation and a debate over extinction timelines, wasn’t the most important thing that happened in AI this summer. This week, here’s the story that actually deserved the headline. Between…
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Bottom Line: If you’ve scrolled past a headline this month claiming AI could kill everyone within a decade, you’re not imagining the volume. A researcher quit two major AI labs in a viral resignation post. A senator introduced a bill to ban “superintelligence” outright. Fox News, the Wall Street Journal, and a dozen newsletters all…