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Become an AI Value Creator

Part 1 of a five-part premium series for technical leaders. From data strategy to governance to what comes after the hype cycle, this is the blueprint for building AI that actually compounds.

Every company is "AI-powered" now. Open any enterprise homepage, scan any annual report, sit through any earnings call. AI is everywhere. Or at least the claim of AI is everywhere.

But here's what most of those claims mean: someone plugged in an API, wired up a chatbot, or turned on a vendor feature that shipped with the latest software update. That's not an AI strategy. That's a subscription.

Most companies "doing AI" are doing someone else's AI. They're consumers, not creators. The difference between those two will determine who builds competitive advantage over the next decade and who rents it month to month.

This is Part 1 of a five-part series on building real value with AI. Here, we tackle the mindset shift. In the posts that follow, we go deeper: why your enterprise data is a superpower you're probably giving away, why one model won't rule them all (and what to build instead), how to ship governance that doesn't slow you down, and where generative computing is headed after the hype settles. This series is a blueprint for technical leaders who are done experimenting and ready to build something that lasts.

Whose AI flywheel are you actually spinning?

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