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Monday, February 16, 2026

Why Most AI Breaks in the Real World — and What Founders Get Wrong

Key Takeaways AI often fails outside of demos because it can’t learn from real-world mistakes or adapt to unpredictable users and systems. • Founders who focus on AI that improves over time — not just executes commands — are the ones turning automation into real business results. According to the …

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