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<p>The hype around AI is everywhere, but success still depends on execution. AI projects often fail when businesses treat them as trend-driven experiments instead of long-term transformation initiatives. Lack of readiness, poor cross-team alignment, weak governance, and unrealistic expectations can quickly derail even promising ideas. To <a href="https://globaldev.tech/blog/beyond-the-hype-why-ai-projects-fail-and-how-to-succeed">avoid AI project failure</a>, companies should start with a clear problem, test practical use cases, and build on a strong operational foundation. AI success does not come from moving faster than everyone else — it comes from building smarter from day one.</p>