Elon Musk is reportedly putting together $97 billion with some private equity muscle to try and take over OpenAI. If your first reaction is “what could possibly go wrong?”—you’re not alone. Look, I’ve got respect for innovation. But concentration of power like this? Dangerous. When one man has his hands on rockets, cars, satellites, and now the leading generative AI firm? That’s not synergy—that’s a digital monopoly in slow motion. This industry thrives on diversity—of

Anthropic just launched their Economic Index to track how AI is impacting labor markets. It’s neat in theory—graphs, trends, predictions—but let’s not pretend a line chart can explain the human cost of automation. Sure, it tells you how many jobs are “impacted.” But it doesn’t tell you what that feels like for a 50-year-old tech support guy who just got replaced by a chatbot. Or a young analyst whose role got downgraded to “data janitor.”

The AI Action Summit just wrapped in Paris, and it’s all about the money, baby. €200 billion from the EU, €110 billion from France. Everybody’s hyped about economic opportunity, but I’ve got to ask: where’s the roadmap for ethics? We’ve seen this movie before—tech gets funded fast, regulators scramble late, and the public gets burned. If you’re building or using AI right now, my advice? Make your own ethical guardrails, because the big boys are

French startup Mistral just dropped an AI assistant called Le Chat that can supposedly chew through 1,000 words per second. Translation: it’s fast. Real fast. But you know how I feel about speed in tech—it’s great, until it runs over something important. For small business ops or IT teams thinking about automation—don’t be dazzled. Test the thing on something low-stakes first. And don’t use it to write policy docs or handle legal anything until it’s

OpenAI’s rolling out a shiny new tool called Deep Research, letting ChatGPT dig through the web and spit out a report in minutes—with citations and all. Sounds slick. But here’s my take: speed doesn’t equal truth. My peeps in academia, journalism, and even corporate IT—this ain’t the time to get lazy. Just because a chatbot finds something and cites it doesn’t mean the source is solid or the context is right. You still need to