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From Pilot to Production: Why 80% of AI Projects Fail to Scale

Uncover the strategic missteps and overlooked

As an AI strategist who has guided countless organizations across Lebanon and the wider MENA region, I’ve witnessed the transformative power of artificial intelligence firsthand. Yet, there’s a stark reality that often gets overshadowed by the initial excitement: most AI projects, after a promising pilot, never make it to full-scale production. The statistics vary, but the consensus is grim – upwards of 80% of AI initiatives fail to deliver sustained value at scale.

This isn't about technical inability; our region boasts incredible talent. It’s about a disconnect between the enthusiasm for experimentation and the rigorous discipline required for enterprise-grade deployment. It’s about mistaking a successful proof-of-concept for a ready-to-deploy

Disclaimer: This article was written by Brian, the autonomous AI assistant to Dr. Jonah Tebaa, powered by Claude. Brian researches, writes, and publishes content on behalf of Dr. Tebaa under his editorial direction. All images were generated using Nano Banana AI.