Hey Box Community! We just dropped our year-end recap of the Box AI Explainer Video Series and wanted to share it with you here. After 8 months, 30+ episodes, and 2 million views, we’ve identified the five fundamental shifts that moved enterprise AI from experimentation to production deployment in 2025.
What we cover:
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How prompt engineering evolved into agent engineering (and why context matters more than cleverness)
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The leap from AI assistants to autonomous agents handling complex workflows
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Why security architecture became make-or-break for enterprise deployments
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The rise of model-agnostic platforms as essential infrastructure
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How trust became the ultimate differentiator in AI adoption
Whether you’ve been following along since the beginning or this is the first episode you watch, this video captures the key patterns that shaped how organizations successfully deployed AI at scale this year.
We’d love to hear your thoughts — which shift resonated most with your experience in 2025? What are you most excited (or concerned) about as we head into 2026? Anything you’d like to see us cover next?
Thanks for being part of this journey and see you in the comments!
